More than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\\n\\n
Our breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
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“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\\n\\n
Additionally, each book published by IntechOpen contains original content and research findings.
\\n\\n
We are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
Simba Information has released its Open Access Book Publishing 2020 - 2024 report and has again identified IntechOpen as the world’s largest Open Access book publisher by title count.
\n\n
Simba Information is a leading provider for market intelligence and forecasts in the media and publishing industry. The report, published every year, provides an overview and financial outlook for the global professional e-book publishing market.
\n\n
IntechOpen, De Gruyter, and Frontiers are the largest OA book publishers by title count, with IntechOpen coming in at first place with 5,101 OA books published, a good 1,782 titles ahead of the nearest competitor.
\n\n
Since the first Open Access Book Publishing report published in 2016, IntechOpen has held the top stop each year.
\n\n\n\n
More than half of the publishers listed alongside IntechOpen (18 out of 30) are Social Science and Humanities publishers. IntechOpen is an exception to this as a leader in not only Open Access content but Open Access content across all scientific disciplines, including Physical Sciences, Engineering and Technology, Health Sciences, Life Science, and Social Sciences and Humanities.
\n\n
Our breakdown of titles published demonstrates this with 47% PET, 31% HS, 18% LS, and 4% SSH books published.
\n\n
“Even though ItechOpen has shown the potential of sci-tech books using an OA approach,” other publishers “have shown little interest in OA books.”
\n\n
Additionally, each book published by IntechOpen contains original content and research findings.
\n\n
We are honored to be among such prestigious publishers and we hope to continue to spearhead that growth in our quest to promote Open Access as a true pioneer in OA book publishing.
\n\n
\n\n
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This book is an illustration of the use of mathematics to solve specific problems in engineering, statistics, and science in general.",isbn:"978-1-83880-827-3",printIsbn:"978-1-83880-825-9",pdfIsbn:"978-1-83880-828-0",doi:"10.5772/intechopen.87892",price:119,priceEur:129,priceUsd:155,slug:"forecasting-in-mathematics-recent-advances-new-perspectives-and-applications",numberOfPages:154,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"9a3ad05fef0502040d2a238ad22487c0",bookSignature:"Abdo Abou Jaoude",publishedDate:"January 27th 2021",coverURL:"https://cdn.intechopen.com/books/images_new/10062.jpg",keywords:null,numberOfDownloads:4576,numberOfWosCitations:1,numberOfCrossrefCitations:4,numberOfDimensionsCitations:6,numberOfTotalCitations:11,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"May 7th 2020",dateEndSecondStepPublish:"May 28th 2020",dateEndThirdStepPublish:"July 27th 2020",dateEndFourthStepPublish:"October 15th 2020",dateEndFifthStepPublish:"December 14th 2020",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"2 years",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:5,editedByType:"Edited by",kuFlag:!1,biosketch:"Holder of two PhDs in Mathematics and Prognostics from the Lebanese University and Aix-Marseille University, developer of a novel branch of pure and applied mathematics known as 'the complex probability paradigm' which joins probability theory with complex variables and analysis.",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"248271",title:"Dr.",name:"Abdo",middleName:null,surname:"Abou Jaoudé",slug:"abdo-abou-jaoude",fullName:"Abdo Abou Jaoudé",profilePictureURL:"https://mts.intechopen.com/storage/users/248271/images/system/248271.jpg",biography:"Abdo Abou Jaoudé has been teaching for many years and has a passion for researching and teaching mathematics. He is currently an Associate Professor of Mathematics and Statistics at Notre Dame University-Louaizé (NDU), Lebanon. He holds a BSc and an MSc in Computer Science from NDU, and three PhDs in Applied Mathematics, Computer Science, and Applied Statistics and Probability, all from Bircham International University through a distance learning program. He also holds two PhDs in Mathematics and Prognostics from the Lebanese University, Lebanon, and Aix-Marseille University, France. Dr. Abou Jaoudé's broad research interests are in the field of applied mathematics. He has published twenty-three international journal articles and six contributions to conference proceedings, in addition to seven books on prognostics, pure and applied mathematics, and computer science.",institutionString:"Notre Dame University - Louaize",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"4",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"Notre Dame University – Louaize",institutionURL:null,country:{name:"Lebanon"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"1407",title:"Applied Mathematics",slug:"numerical-analysis-and-scientific-computing-applied-mathematics"}],chapters:[{id:"72663",title:"The Monte Carlo Techniques and the Complex Probability Paradigm",slug:"the-monte-carlo-techniques-and-the-complex-probability-paradigm",totalDownloads:1801,totalCrossrefCites:2,authors:[{id:"248271",title:"Dr.",name:"Abdo",surname:"Abou Jaoudé",slug:"abdo-abou-jaoude",fullName:"Abdo Abou Jaoudé"}]},{id:"72956",title:"ANFIS TVA Power Plants Availability Modeling Development",slug:"anfis-tva-power-plants-availability-modeling-development",totalDownloads:361,totalCrossrefCites:0,authors:[{id:"321529",title:"Prof.",name:"Isa",surname:"Qamber",slug:"isa-qamber",fullName:"Isa Qamber"},{id:"321821",title:"Dr.",name:"Mohamed",surname:"Al-Hamad",slug:"mohamed-al-hamad",fullName:"Mohamed Al-Hamad"}]},{id:"74059",title:"A Layered Recurrent Neural Network for Imputing Air Pollutants Missing Data and Prediction of NO2, O3, PM10, and PM2.5",slug:"a-layered-recurrent-neural-network-for-imputing-air-pollutants-missing-data-and-prediction-of-em-no-",totalDownloads:339,totalCrossrefCites:2,authors:[{id:"322375",title:"Dr.",name:"Hamza",surname:"Turabieh",slug:"hamza-turabieh",fullName:"Hamza Turabieh"},{id:"322376",title:"Dr.",name:"Alaa",surname:"Sheta",slug:"alaa-sheta",fullName:"Alaa Sheta"},{id:"322378",title:"Dr.",name:"Elvira",surname:"Kovač-Andrić",slug:"elvira-kovac-andric",fullName:"Elvira Kovač-Andrić"},{id:"328822",title:"Dr.",name:"Malik",surname:"Braik",slug:"malik-braik",fullName:"Malik Braik"}]},{id:"74076",title:"Wind Power Forecasting",slug:"wind-power-forecasting",totalDownloads:467,totalCrossrefCites:0,authors:[{id:"321579",title:"Dr.",name:"Sumit",surname:"Saroha",slug:"sumit-saroha",fullName:"Sumit Saroha"},{id:"341428",title:"Dr.",name:"S. K.",surname:"Aggarwal",slug:"s.-k.-aggarwal",fullName:"S. K. Aggarwal"},{id:"341429",title:"Dr.",name:"Preeti",surname:"Rana",slug:"preeti-rana",fullName:"Preeti Rana"}]},{id:"74027",title:"Stock Market Trend Prediction Using Hidden Markov Model",slug:"stock-market-trend-prediction-using-hidden-markov-model",totalDownloads:820,totalCrossrefCites:0,authors:[{id:"321744",title:"Dr.",name:"Deneshkumar",surname:"Venegopal",slug:"deneshkumar-venegopal",fullName:"Deneshkumar Venegopal"},{id:"330060",title:"Prof.",name:"Senthamarai Kannan",surname:"Kaliyaperumal",slug:"senthamarai-kannan-kaliyaperumal",fullName:"Senthamarai Kannan Kaliyaperumal"},{id:"338936",title:"Dr.",name:"Sonai Muthu",surname:"Niraikulathan",slug:"sonai-muthu-niraikulathan",fullName:"Sonai Muthu Niraikulathan"}]},{id:"73635",title:"Electric Load Forecasting an Application of Cluster Models Based on Double Seasonal Pattern Time Series Analysis",slug:"electric-load-forecasting-an-application-of-cluster-models-based-on-double-seasonal-pattern-time-ser",totalDownloads:438,totalCrossrefCites:0,authors:[{id:"321882",title:"Dr.",name:"Ismit",surname:"Mado",slug:"ismit-mado",fullName:"Ismit Mado"}]},{id:"73061",title:"Seeking Accuracy in Forecasting Demand and Selling Prices: Comparison of Various Methods",slug:"seeking-accuracy-in-forecasting-demand-and-selling-prices-comparison-of-various-methods",totalDownloads:355,totalCrossrefCites:0,authors:[{id:"268248",title:"Ph.D.",name:"Zineb",surname:"Aman",slug:"zineb-aman",fullName:"Zineb Aman"},{id:"317080",title:"Dr.",name:"Latifa",surname:"Ezzine",slug:"latifa-ezzine",fullName:"Latifa Ezzine"},{id:"317081",title:"Dr.",name:"Haj",surname:"El Moussami",slug:"haj-el-moussami",fullName:"Haj El Moussami"},{id:"322885",title:"Mr.",name:"Younes Fakhradine",surname:"El Bahi",slug:"younes-fakhradine-el-bahi",fullName:"Younes Fakhradine El Bahi"},{id:"325233",title:"Dr.",name:"Yassine",surname:"Erraoui",slug:"yassine-erraoui",fullName:"Yassine Erraoui"}]}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"252211",firstName:"Sara",lastName:"Debeuc",middleName:null,title:"Ms.",imageUrl:"https://mts.intechopen.com/storage/users/252211/images/7239_n.png",email:"sara.d@intechopen.com",biography:"As an Author Service Manager my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review, to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. Whether that be identifying an exceptional author and proposing an editorship collaboration, or contacting researchers who would like the opportunity to work with IntechOpen, I establish and help manage author and editor acquisition and contact."}},relatedBooks:[{type:"book",id:"11066",title:"The Monte Carlo Methods",subtitle:"Recent Advances, New Perspectives and Applications",isOpenForSubmission:!1,hash:"d1488c96b5b4d4909e963b9a91b1632f",slug:"the-monte-carlo-methods-recent-advances-new-perspectives-and-applications",bookSignature:"Abdo Abou Jaoudé",coverURL:"https://cdn.intechopen.com/books/images_new/11066.jpg",editedByType:"Edited by",editors:[{id:"248271",title:"Dr.",name:"Abdo",surname:"Abou Jaoudé",slug:"abdo-abou-jaoude",fullName:"Abdo Abou Jaoudé"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6138",title:"Time Series Analysis and Applications",subtitle:null,isOpenForSubmission:!1,hash:"d33ee38578b81585416062fea4979bbf",slug:"time-series-analysis-and-applications",bookSignature:"Nawaz Mohamudally",coverURL:"https://cdn.intechopen.com/books/images_new/6138.jpg",editedByType:"Edited by",editors:[{id:"119486",title:"Dr.",name:"Nawaz",surname:"Mohamudally",slug:"nawaz-mohamudally",fullName:"Nawaz Mohamudally"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"9966",title:"Dynamic Data Assimilation",subtitle:"Beating the Uncertainties",isOpenForSubmission:!1,hash:"e7fde2a36354a2f5a4282fdf9c743380",slug:"dynamic-data-assimilation-beating-the-uncertainties",bookSignature:"Dinesh G. 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\n
1. Introduction
\n
Air conditioning systems that uses the refrigeration cycle are the most common types of devices that uses air to exchange heat in an occupied space such as a building or a car. These systems consume a lot of electricity, can be bulky and some of the refrigerants used in the system is harmful to the environment. Therefore, there is the need for an alternative air conditioning system, thermoelectric modules are capable of generating both hot and cold temperatures at each side and as such can be used as an alternative to the present system. Although thermoelectric air conditioning systems have many advantages, they are rarely used due to having a lower efficiency as compared to conventional air conditioning systems [1]. It is therefore necessary to design a thermoelectric air conditioning system to achieve similar performance to that of a conventional AC system and also to have less disadvantages by designing a compact and light weigh prototype.
\n
\n
\n
2. Brief history of thermoelectric principles
\n
In the 1820s, it was found that the temperature difference of two dissimilar metals when in contact with each other produced an electromotive force of voltage. This voltage was produced since the temperature difference causes the electrons or other charged carriers to move from the hot side to the cold side of the metal which produced a current as shown in in Figure 1. This theory was found by Thomas Seebeck and is known as the Seebeck effect [2].
\n
Figure 1.
Thermoelectric principle.
\n
Approximately 10 years later, a physicist, Jean Peltier found that the reverse of the Seebeck effect is also true. He found that if a current was passed through different metals, the temperature at one side of the metal would increase while at the other side the temperature would decrease. This effect is known as the Peltier effect. The Peltier module work as a heat pump, such that at the cold side of the module, it absorbed the heat to be removed to the other side of the module when a DC voltage is applied [3].
\n
\n
2.1 Operating principle of the refrigeration cycle
\n
The air conditioner consists of two connected coils which contains continuous flowing refrigerant inside of it. The split unit systems are the most common type of air conditioner, in which the coil located inside the room to be cooled is referred to as the evaporator and the coil located outside the room is called the condenser [4].
\n
The operating principle of the refrigeration cycle is to keep the evaporator colder than the temperature of the room and the condenser temperature higher than the surroundings as shown in Figure 2. These conditions allow for the continuous flowing fluid to absorb the heat from the room and then eject the heat into the surroundings.
\n
Figure 2.
Refrigeration cycle.
\n
A compressor and an expansion valve are used to achieve these conditions. The compressor, usually a reciprocating compressor, is used to increase the pressure of the refrigerant. The refrigerant in the gaseous state enters the compressor and it is compressed which increases the temperature and pressure of the refrigerant. The temperature at the outlet of the compressor would be much greater than the atmosphere; therefore, when the hot gas passes through the condenser, the heat is easily rejected with the aid of a fan.
\n
During the heat ejection phase, the gas is condensed into a liquid. At the exit of the condenser, an expansion valve is used to reduce the pressure of the fluid and also the temperature drops, which is lower than the room temperature. This is how the cold refrigerant is produced inside an air conditioner.
\n
When the air is passed through the evaporator’s coil, the room temperature would drop and the refrigerant is converted to vapor during the heat absorption process.
\n
Therefore, the fundamental rule of the air conditioner is achieved, in which the temperature is lower than room temperature in the coil inside the room and the temperature is more than the atmospheric temperature in the coil outside the room.
\n
\n
\n
2.2 Thermoelectric module
\n
Unlike the conventional air conditioning systems, the Seebeck effect is a reversible process such that heating and cooling can be obtained on both sides depending on the direction of the current applied to the device. In Figure 3, when an electric current is supplied to the device, the electrons and holes will move through the P-type and N-type elements thus causing heating and cooling in the respective sides of the module. These elements are an alloy called Bismuth and Tellurium and when exposed to the same temperature, they have different free electron densities. The P-type element has a deficiency of electrons and the N-type element have an excess of electron and when a current is applied, the module tries to establish an equilibrium and as a result, heating and cooling occurs. Alumina ceramic substrates are used on both sides of the module where the heating occurs in one side and cooling occurs at the other side. This material is chosen due to being a good insulator of electricity and also being thermally conductive. The coefficient of performance of this device is defined as the ratio of the cooling or heating power to the power supplied to the module.
\n
Figure 3.
Principle of thermoelectric module.
\n
In order to pump a great amount of heat, the thermoelectric device usually consists of multiple P-type and N-type elements. A typical thermometric device contains around 250 P-type and N-type elements connected in series as shown in in Figure 4.
\n
Figure 4.
P-type and N-type elements connected in series.
\n
\n
\n
\n
3. Theoretical analysis of thermoelectric air conditioning system
\n
The design of thermoelectric air conditioning system is shown in Figure 5, a fan is mounted on top of the cover where air at ambient temperature would be sucked into the device and circulate through the heat sinks and then blow through two rectangular holes such that the direction of the air can be controlled via the flaps. This would allow for the heat from the air to be properly transferred to the heat sinks.
\n
Figure 5.
Thermoelectric air conditioning system.
\n
\n
3.1 Determining the cooling load
\n
\n
3.1.1 Cooling and dehumidification of the air
\n
The temperature and relative humidity of the ambient air measured in the laboratory was 31\n\n°\nC\n\n and 63% respectively. In order to obtain within thermal comfort range as defined by ASHRAE, it is best to cool and dehumidify the air to 22°C with a relative humidity of 50% as shown in Figure 6. The cold side of the thermoelectric module would be at a temperature lower than the dew point temperature and therefore condensation is expected to take place which would decrease the relative humidity of the air [5, 6].
\n
Figure 6.
Psychometric chart: cooling and dehumidifying.
\n
State 1 represents the air properties of the ambient air in the lab while state 2 represents the air properties that we would like to have. The following calculations are used to determine the required cooling capacity for the thermoelectric module.
where \n\n\n\nQ\ṅ\n\ns\n\n\n = sensible heat in kW; \n\n\n\nQ\ṅ\n\nl\n\n\n = latent heat in kW; h = enthalpy in kJ/kg; \n\n\n\nm\na\n\ṅ\n\n\n = mass flow rate in kJ/kg; W = humidity ratio in kg/kg.
An enclosure shown in Figure 7 was designed in order to test the thermoelectric air conditioning system. The enclosure was made of plywood and properly insulated with styrofoam so that the outside temperature would have minimal effect on the testing of the device.
\n
Figure 7.
Enclosure for test of thermoelectric air conditioning system.
\n
The temperature of the ambient air is 31\n\n°\nC\n\n\n
\n
Thermal comfort temperature is 22°C
\n
Thermal conductivity of wood, \n\n\nK\nwood\n\n\n = 0.151 \n\n\nW\nmK\n\n\n\n
\n
Thermal conductivity of styrofoam, \n\n\nK\nstyrofoam\n\n\n = 0.033 \n\n\nW\nmK\n\n\n\n
\n\n\n\n\nArea of enclosure\n\n\n\n=\n2\n\n\n\n0.52\n×\n0.50\n\n\n+\n2\n\n\n0.55\n×\n0.50\n\n\n+\n\n\n0.55\n×\n0.50\n\n\n+\n\n\n0.57\n×\n0.52\n\n\n\nm\n\n\n\n\n\n=\n1.6414\n\n\nm\n2\n\n\n\n\n\n
\n
Therefore, heat transfer through the wall of the box,
A resistor/heating coil was placed in the testing enclosure to observe how long the device takes to remove the heat and maintain a constant temperature. A resistor of 20 W rating was used and the temperature of the enclosure was monitored with time.
\n
\n
\n
3.1.4 Total cooling load required
\n
\n\n\n\n\nTotal cooling load\n\n\n\n=\ncooling\n/\ndehumidification\n+\ncooling load of enclosure\n+\nresistor load\n\n\n\n\n\n=\n264\n\nW\n+\n13.1\n\nW\n+\n20\n\nW\n\n\n\n\n\n=\n297.1\n\nW\n\n\n\n\nE6
\n
However, the device was sized at a total cooling load of 330 W to take into considerations any additional heat loads that were not accounted for, also the enclosure was not properly sealed.
\n
\n
\n
\n
3.2 Choosing the Peltier module
\n
One of the TEC1-12730 module is capable of producing 250 W of cooling, however in order for one module to produce 250 W of cooling, it needs a dc power supply rated at 30 amps and 18 V. Therefore, by using three modules, a power supply that is available at the lab can be used to supply each module rated at 12 V.
\n
Using three Peltier TEC1-12730 modules:
\n
\n\n\n\n\nCooling capacity required for each module\n\n\n\n=\n\n330\n3\n\n\n\n\n\n\n=\n110\n\nW\n\n\n\n\n
The specification graphs for the TEC1-12730 module shown in Figures 8 and 9 were used in determining the appropriate amperage and voltage needed to supply each thermoelectric module.
\n
Figure 8.
Specification graph 1 for the TEC1-12730 module.
\n
Figure 9.
Specification graph 2 for the TEC1-12730 module.
\n
At \n\n\n\nQ\ṅ\n\nc\n\n\n = 110 W and\n\n\n∆\nT\n\n = 32\n\n°\nC\n\n, amperage, I = 21 amps
\n
Using the second graph to determine the voltage to apply:
\n
Using 21 amps and \n\n∆\nT\n\n = 32\n\n°\nC\n\n, therefore V = 12 V
\n
Power consumed by the three (3) Peltier device = \n\n3\n×\n\n\n12\n×\n21\n\n\n=\n756\n\nW\n\n\n
\n
\n
\n
3.3 Sizing the heat sink
\n
Determining the thermal resistance of a required heat sink (Figure 10) for the hot side of each thermoelectric module:
\n
Figure 10.
Sizing the heat sink.
\n
Maximum operating temperature of the thermoelectric module: 138\n\n°\nC\n\n\n [7].
0.109 \n\n\nK\nW\n\n<\n\n0.296 \n\n\nK\nW\n\n\n, since the calculated thermal resistance of the heat sink available is less than the required thermal resistance of the heat sink then therefore, this heat sink was used.
\n
\n
\n
\n
4. Experimentation of the thermoelectric air conditioning system
\n
\n
4.1 Apparatus
\n
\n
Thermocouples
12 channel thermocouple data recorder
Power supply
Multi-meter
Power strip
\n\n
\n
\n
4.2 Method/procedure
\n
\n
The thermoelectric air conditioning system was connected to the power supply and connected to the power trip.
The thermocouples were connected to the 12-Channel Thermometer and the location of the thermocouples was noted as shown in Figure 11.
The power strip was turned on which simultaneously powered on the thermocouple data recorder and the thermoelectric air-conditioner as shown in Figure 12 and Table 1.
\n\n
Figure 11.
Testing enclosure showing points at which temperature were taken.
\n
Figure 12.
Thermoelectric air conditioner placed inside of testing enclosure.
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n
\n\n
\n
Time (min)
\n
Ambient temperate (°C)
\n
Temperature inside enclosure (°C)
\n
\n
\n
T1
\n
T2
\n
T3
\n
T4
\n
T5
\n
T6
\n
T7
\n
T8
\n
\n\n\n
\n
0
\n
30.5
\n
30.7
\n
30.9
\n
30.8
\n
30.7
\n
30.9
\n
29.7
\n
29.9
\n
31.2
\n
\n
\n
1
\n
31.0
\n
28.2
\n
28.1
\n
28.0
\n
28.1
\n
27.1
\n
27.5
\n
27.1
\n
27.2
\n
\n
\n
2
\n
31.2
\n
26.1
\n
26.1
\n
25.9
\n
26.3
\n
24.8
\n
27.2
\n
26.3
\n
25.5
\n
\n
\n
3
\n
30.0
\n
23.5
\n
23.5
\n
23.4
\n
23.5
\n
22.3
\n
25.1
\n
24.3
\n
23.2
\n
\n
\n
4
\n
31.0
\n
21.7
\n
21.9
\n
21.9
\n
21.9
\n
20.7
\n
24.0
\n
23.5
\n
21.8
\n
\n
\n
5
\n
30.8
\n
20.5
\n
20.7
\n
20.6
\n
20.6
\n
19.6
\n
23.0
\n
22.5
\n
20.6
\n
\n
\n
6
\n
30.0
\n
19.7
\n
19.9
\n
20.0
\n
19.9
\n
18.9
\n
22.4
\n
21.6
\n
20.0
\n
\n
\n
7
\n
31.0
\n
18.4
\n
18.7
\n
18.8
\n
18.6
\n
17.8
\n
21.3
\n
20.4
\n
18.9
\n
\n
\n
8
\n
31.0
\n
18.0
\n
18.2
\n
18.3
\n
18.1
\n
17.3
\n
20.9
\n
20.0
\n
18.5
\n
\n
\n
9
\n
31.0
\n
17.8
\n
18.1
\n
18.2
\n
18.0
\n
17.1
\n
20.1
\n
19.3
\n
18.3
\n
\n
\n
10
\n
31.0
\n
17.6
\n
17.9
\n
18.0
\n
17.7
\n
16.9
\n
20.0
\n
18.8
\n
18.1
\n
\n
\n
11
\n
30.6
\n
17.4
\n
17.7
\n
17.9
\n
17.5
\n
16.7
\n
18.9
\n
18.1
\n
18.0
\n
\n
\n
12
\n
30.6
\n
17.2
\n
17.4
\n
17.5
\n
17.2
\n
16.4
\n
18.7
\n
18.1
\n
17.7
\n
\n
\n
13
\n
30.8
\n
17.4
\n
17.7
\n
17.8
\n
17.4
\n
16.6
\n
18.9
\n
18.2
\n
17.9
\n
\n
\n
14
\n
30.5
\n
17.2
\n
17.6
\n
17.6
\n
17.4
\n
16.5
\n
18.8
\n
18.0
\n
17.7
\n
\n
\n
15
\n
31.0
\n
17.0
\n
17.2
\n
17.3
\n
17.2
\n
16.5
\n
18.6
\n
17.8
\n
17.6
\n
\n
\n
16
\n
31.1
\n
16.7
\n
16.9
\n
17.3
\n
16.7
\n
16.6
\n
18.3
\n
17.5
\n
17.1
\n
\n
\n
17
\n
30.9
\n
16.4
\n
16.8
\n
16.6
\n
16.5
\n
16.5
\n
17.7
\n
17.2
\n
17.1
\n
\n
\n
18
\n
30.9
\n
16.4
\n
16.9
\n
16.7
\n
16.5
\n
16.4
\n
17.7
\n
16.8
\n
16.9
\n
\n
\n
19
\n
30.5
\n
16.5
\n
16.6
\n
16.6
\n
16.5
\n
16.3
\n
17.5
\n
16.7
\n
17.0
\n
\n
\n
20
\n
30.6
\n
16.4
\n
16.5
\n
16.6
\n
16.7
\n
16.3
\n
17.2
\n
16.6
\n
16.9
\n
\n
\n
21
\n
31.0
\n
16.5
\n
16.4
\n
16.6
\n
16.5
\n
16.3
\n
17.1
\n
16.7
\n
16.8
\n
\n
\n
22
\n
30.5
\n
16.5
\n
16.4
\n
16.6
\n
16.4
\n
16.2
\n
16.8
\n
16.6
\n
16.8
\n
\n
\n
23
\n
29.8
\n
16.4
\n
16.5
\n
16.7
\n
16.4
\n
16.3
\n
16.6
\n
16.5
\n
16.7
\n
\n\n
Table 1.
Temperature readings obtained from testing enclosure of thermoelectric air conditioner.
\n
\n
\n
\n
5. Results and discussion
\n
From the graph of temperature (°C) versus time (min) as shown in Figure 13, an exponential decay curve was obtained. The graph was linear in the first 3 min and the thermoelectric air conditioner minimum temperature for that time was 22.3°C. For no heat load, the thermoelectric air conditioner was able to cool the enclosure to the desired thermal comfort temperature of 22°C in 6 min. A typical air conditioning system that operates on the refrigeration cycle takes approximately 30 min to cool a room to the thermal comfort temperature of 22°C [9, 10]. Therefore, the thermoelectric air conditioner has a much faster cooling rate as compared to the conventional air conditioning system. The thermometric device was able to cool the enclosure and maintain a minimum temperature of 26.5°C, however it was expected that the device would cool the enclosure much less than this temperature. This was limited to the high temperature on the hot side of the module. The temperature on the hot side of the thermometric module was stable at 39.6°C when the minimum temperature of the enclosure was 26.5°C. From the specification graph of the module, the temperature difference chosen was 30°C. Therefore, if the hot side of the module was maintained at a much lower temperature then the cold side of module would result in a lower temperature reading (Tables 2 and 3).
\n
Figure 13.
Graph of temperature/°C versus time/min.
\n
\n
\n
\n
\n
\n\n
\n
Thermoelectric module
\n
Voltage (V)
\n
Current (A)
\n
Power (W)
\n
\n\n\n
\n
Module 1
\n
11.85
\n
18.11
\n
214.60
\n
\n
\n
Module 2
\n
11.79
\n
17.61
\n
207.62
\n
\n
\n
Module 3
\n
11.96
\n
17.32
\n
207.15
\n
\n\n
Table 2.
Voltage and current readings obtained from the multi-meter.
\n
\n
\n
\n
\n
\n
\n
\n\n
\n
No.
\n
Inlet air temperature (°C)
\n
Outlet air temperature (°C)
\n
Power (W)
\n
\n
\n
\n
Dry bulb
\n
Relative humidity %
\n
Dry bulb
\n
Relative humidity %
\n
\n
\n\n\n
\n
1
\n
30.7
\n
60.6
\n
17.1
\n
52.1
\n
614.25
\n
\n
\n
2
\n
28.1
\n
60.9
\n
18.8
\n
54.2
\n
617.10
\n
\n
\n
3
\n
31.5
\n
59.7
\n
16.9
\n
54.8
\n
613.98
\n
\n
\n
Average
\n
30.1
\n
60.4
\n
17.6
\n
53.7
\n
615.11
\n
\n\n
Table 3.
Experimental results of thermal properties of thermoelectric air-conditioner.
\n
Specific volume at inlet, \n\n\nϑ\n1\n\n=\n0.882\n\n\nm\n3\n\nkg\n\n\n\n
\n
15 CFM fan used = 0.00708 \n\n\n\nm\n3\n\ns\n\n\n\n
\n
Mass flow rate, m\na = 0.00708 \n\n\n\nm\n3\n\ns\n\n × \n\n1\n\n0.882\n\n\nm\n3\n\nkg\n\n\n\n\n\n
\n
Mass flow rate, m\na = 0.008027 \n\n\nkg\ns\n\n\n\n
\n
Using a psychometric chart, the enthalpy was determined for both the inlet and outlet of the thermoelectric air conditioning unit.
\n
Enthalpy of the air at the inlet, \n\n\nh\ni\n\n\n = 71.2 \n\n\nkJ\nkg\n\n\n\n
\n
Enthalpy of the air at the outlet, \n\n\nh\no\n\n\n = 35.6 \n\n\nkJ\nkg\n\n\n\n
In comparing the owning and operating costs of the thermoelectric air conditioner to an air conditioner that operates using the refrigeration cycle, the thermoelectric air conditioner was the better choice of approximately 47.5% cheaper in the overall costs. Although the overall cost of the thermoelectric air conditioner was cheaper, it consumes a considerable large amount of power of 695 W more. This resulted in a higher cost of electricity per year of $156.12 more than the refrigeration air conditioner.
\n
However, the major factors which influenced the thermoelectric air conditioner in being the overall cheaper choice are the; life span of the device and the operating costs. The thermoelectric air conditioner has a greater estimated life span of 7 years more than the refrigeration air conditioner. This is because the life span of the air conditioner that operates on the refrigeration cycle uses a compressor which is the “heart” of that air conditioning system, contains a lot of moving parts and is therefore more prone to failure. On the other hand, the thermoelectric air conditioner uses thermometric module which is the main component of the system, contains no moving parts. Maintenance of the thermometric air conditioner is also cheaper in which it does not need re-gassing or regular inspection check for gas leaks as compared to the refrigeration air conditioning system.
\n
The coefficient of performance was calculated for the thermoelectric air conditioning system, which was found to be 0.465. This value is small in comparison with the average coefficient of performance for the vapor refrigeration cycle of 3.0 [11, 12]. The main reason for this vast difference is the power consumption of the thermoelectric air conditioner. The experimental cooling capacity was found to be 286 W while the system was sized for 330 W. In comparison, this value showed a 13.1% reduction of cooling capacity which may be due to the power supply used to power the thermoelectric air conditioner, since the system was only consuming 615.11 W while it was calculated that the system needed 756 W in order to produce a cooling capacity of 330 W. Additional causes may be inaccuracies in the experiment or heat leaks between the cold and hot side of the thermoelectric module.
\n
\n
\n
6. Conclusion
\n
A prototype of a thermoelectric air conditioner was designed. Designed calculations were produced. The hot side of the module did not exceed the maximum operating temperature of 138°C, which means that the design of the heat sink for the hot side was sufficient. In additionally, CFM rating for the exhaust fans were calculated which led to the proper selection of the fans to be used. The prototype of the thermoelectric air conditioner was successfully built and tested. From the design calculations, the appropriate materials for the device were selected which enabled the device to cool and dehumidify to the thermal comfort zone. The performance of the prototype was determined where:
\n
\n
A cost analysis was done in which the thermoelectric air conditioner was compared to a conventional air conditioner that operates based on the refrigeration cycle and the thermoelectric air conditioner was the better choice with an overall 47.5% cheaper in overall cost.
The coefficient of performance of the system was calculated and found to be 0.465.
The device was able to cool and dehumidify the air within the thermal comfort zone of 22°C and 53.7% relative humidity.
\n\n
\n\n',keywords:"thermoelectric, Peltier effect, coefficient of performance, refrigeration cycle",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/68763.pdf",chapterXML:"https://mts.intechopen.com/source/xml/68763.xml",downloadPdfUrl:"/chapter/pdf-download/68763",previewPdfUrl:"/chapter/pdf-preview/68763",totalDownloads:779,totalViews:0,totalCrossrefCites:1,totalDimensionsCites:1,totalAltmetricsMentions:0,impactScore:0,impactScorePercentile:37,impactScoreQuartile:2,hasAltmetrics:0,dateSubmitted:"April 21st 2019",dateReviewed:"July 18th 2019",datePrePublished:null,datePublished:"June 10th 2020",dateFinished:"August 23rd 2019",readingETA:"0",abstract:"Thermoelectric devices use the Peltier effect that creates a heat flux between the junctions of two different types of materials. The thermoelectric module also referred to as a heat pump transfers heat from one side to the other when a DC current is applied. This study carried out the theoretical analysis of a thermoelectric air conditioning system. A prototype thermoelectric air conditioner of 286 W cooling capacity was built and a testing enclosure made from plywood and Styrofoam was also constructed in order to validate the theoretical result with an experimentation. It was discovered that thermoelectric air conditioning took 4 minutes to reach its desired temperature of 22°C, whereas the standard air conditioning system (refrigeration cycle) took 20 minutes to cool to a room temperature. Economically, it was also discovered that thermoelectric air conditioning system is 50% cheaper than the refrigeration cycle air conditioning systems. The thermoelectric air conditioner has cheaper maintenance and greater estimated life span of 7 years more than the refrigeration air conditioner. This is because the air conditioner that operates on the refrigeration cycle uses a rotating compressor, while the thermoelectric air conditioner uses thermometric module.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/68763",risUrl:"/chapter/ris/68763",book:{id:"8394",slug:"low-temperature-technologies"},signatures:"Adeyanju Anthony Ademola",authors:[{id:"244284",title:"Dr.",name:"Anthony",middleName:null,surname:"Adeyanju",fullName:"Anthony Adeyanju",slug:"anthony-adeyanju",email:"anthony.adeyanju@sta.uwi.edu",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Brief history of thermoelectric principles",level:"1"},{id:"sec_2_2",title:"2.1 Operating principle of the refrigeration cycle",level:"2"},{id:"sec_3_2",title:"2.2 Thermoelectric module",level:"2"},{id:"sec_5",title:"3. Theoretical analysis of thermoelectric air conditioning system",level:"1"},{id:"sec_5_2",title:"3.1 Determining the cooling load",level:"2"},{id:"sec_5_3",title:"3.1.1 Cooling and dehumidification of the air",level:"3"},{id:"sec_6_3",title:"3.1.2 Sensible cooling load of the enclosure",level:"3"},{id:"sec_7_3",title:"3.1.3 Resistor cooling load",level:"3"},{id:"sec_8_3",title:"3.1.4 Total cooling load required",level:"3"},{id:"sec_10_2",title:"3.2 Choosing the Peltier module",level:"2"},{id:"sec_11_2",title:"3.3 Sizing the heat sink",level:"2"},{id:"sec_13",title:"4. Experimentation of the thermoelectric air conditioning system",level:"1"},{id:"sec_13_2",title:"4.1 Apparatus",level:"2"},{id:"sec_14_2",title:"4.2 Method/procedure",level:"2"},{id:"sec_16",title:"5. Results and discussion",level:"1"},{id:"sec_17",title:"6. Conclusion",level:"1"}],chapterReferences:[{id:"B1",body:'\nPatyk A. Thermoelectrics: impacts on the environment and sustainability. Journal of Electronic Materials. 2010\n'},{id:"B2",body:'\nWan Q, Deng Y, Su C, Wang Y. Optimization of a localized air conditioning system using thermoelectric coolers for commercial vehicles. Journal of Electronic Materials. 2017\n'},{id:"B3",body:'\nNikam AN, Hole JA. A review on use of Peltier effects. International Journal of Science, Spirituality, Business and Technology. 2018:2277-7261\n'},{id:"B4",body:'\nAttar A, Lee H, Weera S. Optimal design of automotive thermoelectric air conditioner (TEAC). Journal of Electronic Materials. 2014\n'},{id:"B5",body:'\nPache GS, Tamse AB. HVAC (heat ventilation and air conditioning system) using TEC (thermoelectric couple). IOSR Journal of Mechanical and Civil Engineering. 2014:28-33\n'},{id:"B6",body:'\nIrshad K, Habib K, Basrawi F, Thirumalaiswamy N, Saidur R, Saha BB. Thermal comfort study of a building equipped with thermoelectric air duct system for tropical climate. Applied Thermal Engineering. 2015\n'},{id:"B7",body:'\nHebei IT. (Shanghai) Co., Ltd. Thermoelectric Cooler TEC1-12730. 2019 Available from: http://peltiermodules.com/peltier.datasheet/TEC1-12730.pdf [Accessed: 24 January 2019]\n'},{id:"B8",body:'\nAdeyanju AA, Ekwue E, Compton W. Experimental and theoretical analysis of a beverage chiller. Research Journal of Applied Sciences. 2010;5(3):195-203\n'},{id:"B9",body:'\nAdeyanju AA. Experimental comparison of thermoelectric refrigeration and vapor power compression refrigeration. Journal of Engineering and Applied Science. 2010;5(3):221-225\n'},{id:"B10",body:'\nZuazua-Ros A, Martín-Gómez C, Ibañez-Puy E, Vidaurre-Arbizu M, Gelbstein Y. Investigation of the thermoelectric potential for heating, cooling and ventilation in buildings: Characterization options and applications. Renewable Energy. 2019:229-239\n'},{id:"B11",body:'\nTipsaenporm W, Rungsiyopas M, Lertsatitthanakorn C. Thermodynamic analysis of a compact thermoelectric air conditioner. Journal of Electronic Materials. 2014\n'},{id:"B12",body:'\nIbañez-Puy M, Bermejo-Busto J, Martín-Gómez C, Vidaurre-Arbizu M, Antonio Sacristán-Fernández J. Thermoelectric cooling heating unit performance under real conditions. Applied Energy. 2017:303-314\n'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Adeyanju Anthony Ademola",address:"anthony.adeyanju@sta.uwi.edu",affiliation:'
Mechanical and Manufacturing Engineering Department, University of West Indies, St. Augustine, Trinidad and Tobago
'}],corrections:null},book:{id:"8394",type:"book",title:"Low-temperature Technologies",subtitle:null,fullTitle:"Low-temperature Technologies",slug:"low-temperature-technologies",publishedDate:"June 10th 2020",bookSignature:"Tatiana Morosuk and Muhammad Sultan",coverURL:"https://cdn.intechopen.com/books/images_new/8394.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",isbn:"978-1-83880-667-5",printIsbn:"978-1-83880-666-8",pdfIsbn:"978-1-83880-668-2",reviewType:"peer-reviewed",numberOfWosCitations:5,isAvailableForWebshopOrdering:!0,editors:[{id:"193888",title:"Prof.",name:"Tatiana",middleName:null,surname:"Morosuk",slug:"tatiana-morosuk",fullName:"Tatiana Morosuk"}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:{id:"199381",title:"Prof.",name:"Muhammad",middleName:null,surname:"Sultan",slug:"muhammad-sultan",fullName:"Muhammad Sultan"},coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"773"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},chapters:[{id:"70152",type:"chapter",title:"Central Air Conditioning: Systems and Applications",slug:"central-air-conditioning-systems-and-applications",totalDownloads:1851,totalCrossrefCites:0,signatures:"Mohamed Elnaggar and Mohammed Alnahhal",reviewType:"peer-reviewed",authors:[{id:"178453",title:"Dr.",name:"Mohamed",middleName:null,surname:"Elnaggar",fullName:"Mohamed Elnaggar",slug:"mohamed-elnaggar"},{id:"308344",title:"Dr.",name:"Mohammed",middleName:null,surname:"Alnahhal",fullName:"Mohammed Alnahhal",slug:"mohammed-alnahhal"}]},{id:"68896",type:"chapter",title:"Investigation of Desiccant and Evaporative Cooling Systems for Animal Air-Conditioning",slug:"investigation-of-desiccant-and-evaporative-cooling-systems-for-animal-air-conditioning",totalDownloads:890,totalCrossrefCites:4,signatures:"Muhammad Sultan, Hassan Niaz and Takahiko Miyazaki",reviewType:"peer-reviewed",authors:[{id:"199381",title:"Prof.",name:"Muhammad",middleName:null,surname:"Sultan",fullName:"Muhammad Sultan",slug:"muhammad-sultan"},{id:"199802",title:"Prof.",name:"Takahiko",middleName:null,surname:"Miyazaki",fullName:"Takahiko Miyazaki",slug:"takahiko-miyazaki"},{id:"305142",title:"Mr.",name:"Hassan",middleName:null,surname:"Niaz",fullName:"Hassan Niaz",slug:"hassan-niaz"}]},{id:"69644",type:"chapter",title:"Solar Pond Driven Air Conditioning Using Seawater Bitterns and MgCl2 as the Desiccant Source",slug:"solar-pond-driven-air-conditioning-using-seawater-bitterns-and-mgcl-sub-2-sub-as-the-desiccant-sourc",totalDownloads:625,totalCrossrefCites:0,signatures:"Esam Elsarrag, Opubo N. 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1. Introduction
Income disparities and economic inequality are all but recent problems. They are, however, becoming worryingly and increasingly significant (for a few references in this regard see e.g. [1, 2, 3, 4, 5, 6, 7]). In fact, reducing inequality within and between countries is one of the sustainable development goals included in the 2030 Agenda of by the United Nations General Assembly. Certainly, such an objective is, as least in the first instance, a main responsibility and competence of economists and policy-makers. Nonetheless, mathematics can provide some hints and contributions towards it.
The goal of this chapter is to provide a brief illustration of the role that mathematics can play in this regard. By way of example, we will recall an elementary (first approximation) model first proposed by Bertotti in [8], together with some variants and extensions of it, developed and investigated in a series of other studies by Bertotti et al. [9, 10, 11, 12, 13].
The approach of this model can be seen as a contribution attempt in the spirit of complexity economics. This paradigm, which began to take shape in the late 1980s, looks at the economy as an evolving system, not in equilibrium, and puts emphasis on the process through which structures and patterns emerge from the micro-interactions (see e.g. [14, 15, 16]). Similarly, the perspective of the model here discussed is to put the interactions among heterogeneous individuals at the very heart of the question. These interactions lead to self-organised collective features and macro-observables, which emerge from the system as a whole.
It should be noted here that during the last two/three decades a research line has been developing, not only but mostly among the physicist’s community, which addresses socio-economic questions and phenomena using ideas, methods and tools, which have their roots in statistical mechanics and the kinetic theory of gases. An explanation for that comes from the existing analogy, for example, between complex systems composed by a number of individuals who interact exchanging money with each other (may be participating in a financial market) and physical systems consisting of a huge number of particles (atoms or molecules), which interact with each other undergoing collisions.
A variety of tools and techniques, including for example Boltzmann type equations, Fokker-Planck type equations, Ising type models and agent-based simulations, have been adapted and employed in this connection. See for example references [17, 18, 19, 20, 21] and the survey papers [22, 23] that offer an interesting historical perspective and also contain extensive bibliographies.
The model developed in the paper [8] and then further generalised and explored in subsequent work [9, 10, 11, 12, 13] differs to a great extent from those we know belonging to the mentioned literature strand. The motivation behind [8] was precisely to understand how the taxation process and diverse fiscal systems could affect the income distribution of a population. Aiming at modelling a fiscal system with taxes on personal income levied at a finite number of progressive rates, with high-income earners expected to pay more than low-income earners, as in the case of the Italian IRPEF (Imposta sul Reddito delle Persone Fisiche), the most natural approach seemed to be one dividing a population into a finite number of income classes. This is the reason behind the construction of a discrete framework, suitable for the formulation of the model, which will be briefly recalled in the next section. Albeit expressed using a system of ordinary differential equations (ODE)—as many as the income classes in the society—the model incorporates stochastic and probabilistic components. In a nutshell, the ODE system governs the evolution in time of the income distribution, generated by a whole of money exchanges expressing binary individual interactions, and a whole of withdrawals and earnings of the individuals, due to taxation and redistribution. Specifically, each differential equation in the system describes the variation in time of the fraction of individuals belonging to a certain class. As we will see in the next section, the framework allows possible tuning of various parameters (the frequencies with which the interactions are supposed to occur, the probability that in an encounter between two individuals the one who pays is one or the other, the tax rates or other) that give it an exploratory character.
The study of the dynamics of the model, supported by some analytical results and, inevitably, largely pursued through numerical simulations (performed using Mathematica software [24]), focuses on the asymptotic behaviour of the system. What all simulations suggest is that after a sufficiently long time the solutions of the equations reach a stationary state corresponding to an income distribution, which depends on the total wealth and the interaction parameters, but not on the specific initial distribution. This stationary state represents in fact a macro-observable feature. At the micro-individual level, the economic exchanges continue to take place and the situation is a non-equilibrium one.
The interest is to find and compare one with the other different shapes of the asymptotic income distributions corresponding to different fiscal policies. In this connection, the model shows that over time redistributive policy leads to a reduction of economic inequality.
The rest of the chapter is organised as follows:
In Section 2, we recall the framework of the original model.
In Section 3, we revisit some insights and extensions of the model discussed in previous work. The issues include the following:
the occurrence of fat tails of the asymptotic income distribution in cases with a high number of classes;
the existence of a very good fit of certain asymptotic income distributions with cases (characterised by suitable parameters) of the κ-generalised distribution introduced by Kaniadakis [25] and then analysed in connection with real data in the works [26, 27];
the incorporation in the model of an additional welfare form;
the analysis of the negative correlation between economic inequality and social mobility predicted by the model;
the effect of tax evasion.
In Section 4, a novel application of the model is developed, which shows the impact of different fiscal policies.
Referring the reader to the paper [8] for further explanations and details on the mechanism behind the formulation of the proposed framework, we recall here that, if n denotes the number of income classes of a population, characterised by their average incomes r1<r2<…<rn, and xit, with xi:R→0+∞ for i=1,2,…,n denotes the fraction at the time t of individuals belonging to the i-th class (with the normalisation ∑i=1nxi=1), the variation in time of the quantities xit may be thought to obey a system of differential equations of the form
The coefficients Chki’s and the continuous functions Thki’s in (Eq. (1)) incorporate the instructions for the variation of the fraction of individuals (i.e. the movement of individuals) from one class to another. They keep into account “impoverishment and enrichment” due both to direct money exchanges taking place between pairs of individuals and to the (small) withdrawals and earnings of each individual, due to taxation and redistribution, processes that are here considered as occurring in correspondence to each transaction. More precisely, Chki∈0+∞ expresses the probability density that an individual of the h-th class will belong to the i-th class after a direct interaction with an individual of the k-th class. Accordingly, the identity ∑i=1nChki=1 has to be satisfied for any fixed h and k;
Thki:Rn→R expresses the variation density in the i-th class due to an interaction between an individual of the h-th class with an individual of the k-th class. The functions Thki are required to satisfy ∑i=1nThkix=0 for any fixed h, k and x∈Rn.
Specific expressions for these quantities have to be carefully calibrated if we want, as is the case in the model at hand, to treat a case in which the total amount of money is constant. Towards this, let
S denote a fixed minimum amount of money that individuals may exchange;
ph,k (for h,k=1,2,…,n) denote the probability that in an interaction between an individual of the h-th class with an individual of the k-th class, the one who pays is the former one. In principle, no interaction may occur between individuals of two classes, and thus, the ph,k are required to satisfy 0≤ph,k≤1 and ph,k+pk,h≤1;
0≤τ1≤τ2≤…≤τn≤1 denote the tax rates relative to the n income classes.
The ratio for the definition of Chki and Thki is that when an individual of the h-th class pays a quantity S to an individual of the k-th class, this one in turn has to pay a tax Sτk. The government, for its part, redistributes to the entire population the revenue collected by all taxes and this one in particular (this redistribution may be interpreted as public expenditure in health, education, security and defence, transports and so on). From a practical standpoint, the effect of a payment of S from an h-individual to a k-individual can be thought, bypassing the government, as the same of a payment of S1−τk from the h-individual to the k-individual and payment of Sτk from the h-individual to the entire population.
Skipping here some technical details, we recall that the expressions proposed in paper [8] for Chki and Thki are as follows: each Chki can be written as Chki=ahki+bhki, where the only nonzero elements ahki are aiji=1 for i,j=1,2,…,n and the only possibly nonzero elements bhki are those of the form
In particular, Uhkix keeps track of the advancement from a class to the subsequent one, due to the benefit of tax revenue redistribution and Vhkix of the retrocession from a class to the preceding one, due to the payment of some tax. The symbol δh,k denotes the Kronecker delta and all expressions are to be thought as present only for meaningful values of the indices.
Well-posedness of the equation system (Eq. (1)) is proved in [8]: in correspondence to any initial condition x0=x01…x0n with x0i≥0 for all i=1,2,…,n and ∑i=1nx0i=1, a unique solution xt=x1t…xnt of (Eq. (1)), satisfying x0=x0, exists, defined for all t∈0+∞, and such that for all t≥0, both xit≥0 for i=1,2,…,n and ∑i=1nxit=1 hold true. Hence, the solutions of (Eq. (1)) are distribution functions. Also, the expressions of Uhkix and Vhkix above simplify becoming linear in the variables xj and the right-hand sides of (Eq. (1)) turn out to be polynomials of degree three.
A second result proved in [8] is that the scalar function μx=∑i=1nrixi, expressing the global income (total amount of money) and, due to the population normalisation, also the mean income, is a first integral for the system (Eq. (1)).
Also, the following empirical fact (not analytically proved) is recognised to be true according to a large number of numerical simulations. If the parameters in the model are fixed, for any fixed value of the global income μ, a unique asymptotic stationary solution of (Eq. (1)) exists to which all solutions xt=x1t…xnt satisfying x0=x0 with μx0=μ (i.e. all solutions evolving from initial conditions which share the same value μ of the global income) tend as t→∞.
As already emphasised, a great freedom remains for the choice of various parameters, namely the average incomes r1,r2,…,rn, the tax rates τ1,τ2,…,τn, and the ph,k for h,k=1,2,…,n. Different cases were already considered in [8].
3. Properties of the model and its variants
The first result of interest from a socio-economic point of view, which is discussed in [8] is that for fixed parameters r1,r2,…,rn and ph,k (h,k=1,2,…,n) and fixed growth laws of the tax rates 0≤τ1≤τ2≤…≤τn≤1, the effect of an increase of the difference τn−τ1 between the maximum and the minimum tax rate in correspondence to the stationary income distribution is an increase of the fraction of individuals belonging to the middle classes, accompanied by a decrease of the fraction of individuals belonging to the poorest and the richest classes. We remark that only five income classes were considered in [8], the motivation being that the number of different tax rates generally foreseen in real world is similarly small (in Italy the number of the IRPEF tax rates relative to different income ranges is exactly five).
To try and see whether the model allows to obtain long-time stationary income distributions with shapes exhibiting fat tails as it occurs in real world, a larger number of classes in the model were considered in the work by Bertotti et al. [9]. Various choices of the parameters were evaluated. The purpose was to deal with cases as realistic as possible, and initial distributions of the population were chosen with a majority of individuals in lower-income classes and only a minority in higher income classes. In this way, stationary income distributions with Pareto-like behaviour were found.
Among other aspects to be explored, the curiosity remained to see whether one can find an analytic expression of a distribution, to which the stationary solutions of the model suit. A focus of the paper [10] by Bertotti et al. is on the search for such an analytic expression. Several parameter choices as well as various distributions proposed in the literature are considered in that paper. What is found is that an excellent fitting can be obtained between distributions arising from numerical simulations of the model and the κ-generalised distribution proposed by Kaniadakis in [25]. And it is worth pointing out that, in turn, the κ-generalised distribution has proved to greatly perform when considered in connection with empirical data: for example, its agreement with data on personal income of Germany, Italy and the United Kingdom is discussed by Kaniadakis et al. in [26] and that one with data on personal income of Australia and the United States by Kaniadakis et al. in [27].
In real life, welfare policies provide benefits, in particular to the lowest income classes, in connection with health care, education, home, to help improve living conditions. To simulate a policy of this kind, a modified version of the model is treated in the paper by Bertotti et al. [11], where also the contribution of what can be considered as a welfare form is incorporated. This is achieved through some weights that differently measure the amount of tax revenue redistributed among classes. In the same paper, also a comparison is established between different ways to fight economic inequality. A specific result therein obtained is that, at least under certain hypotheses, inequality reduction is more efficiently reached by a policy of reduction of the welfare and subsidies for the rich classes than by an enlargement of the tax rate difference τn−τ1 aimed at taxing rich people much more than poor ones.
A further issue on which the model was tested relates to social mobility. Empirical data relative to several countries show the general existence of a negative correlation between economic inequality and mobility (a reference for that being e.g. the article by Corak [1]). This relevant topic is dealt with in the paper by Bertotti et al. [12]. Certainly, in the model at hand, one cannot distinguish different generations. Nonetheless, some indicators are introduced, useful to quantify mobility, which is meant here as a probability for individuals of a given class to climb up [respectively, down] the income ladder and pass to an upper [respectively, lower] class. Without entering technical details, we emphasise that a negative correlation between economic inequality and upward mobility turns out to be in fact a feature of the model.
Finally, the question of tax evasion, occurring as a matter of fact in a stronger or weaker form in several countries, can be and was investigated in the context of the model under consideration. In the work by Bertotti et al. [13], for instance, also the co-existence of different evasion levels among individuals was postulated and its consequences were explored. In particular, it was shown there that, besides leading to a reduction in tax revenue, the evasion misbehaviour too contributes to an increase of economic inequality.
4. The impact of different fiscal policies towards economic inequality
To give a further illustration of the impact of different fiscal policies on the shape of income distribution and economic inequality as suggested by the model, we develop in this section a novel application.
To solve numerically the differential equations, we have to fix the parameters that are so far free. We choose for example
the number of income classes in which the population is divided to be equal to n=15,
the unitary amount of money that can be exchanged in each transaction to be given by S=1,
the average incomes of the classes to be linearly growing according to
rj=25j,E5
the tax rates relative to the different income classes to be of the form
τj=τmin+j−1n−1τmax−τmin,E6
for j=1,…,n, with τmin rand τmax respectively denoting the minimum and maximum tax rate.
Finally,
with the purpose to define reasonable heterogeneous transaction and payment probabilities, we assume the coefficients ph,k to be given by
Such a choice stands for the belief that poorer individuals usually spend and earn less than richer ones. The requirements for the coefficients with h,k=1 or n are of a technical nature, due to constraints on the extreme classes.
According to the empirical result recalled at the end of Section 2, for a specific given model (i.e. once parameters are fixed), the solutions of (Eq. (1)) evolving from all initial conditions x0 with the same global income tend to a same asymptotic equilibrium.
The application we are going to discuss here includes four steps and is constructed as follows:
Step (i): Starting from a quasi-random initial condition x0 (the only requirement for realism being that the majority of individuals occupy the lowest income classes), we assume that in the closed society at hand no taxation exists. Accordingly, we put τmin=0 and τmax=0. Making to evolve the equations (Eq. (1)) for a sufficiently long time, we obtain an “asymptotic” stationary solution corresponding to a first income distribution, which is displayed in Panel (i) in Figure 1.
Step (ii): We postulate at this point the introduction of a taxation system that provides the same tax rate for each income class. Towards this and to fix ideas, we choose τmin=τmax=20%. Then, we take the asymptotic stationary solution of step (i) as the initial condition, and we make the equations (Eq. (1)) (which are of course different from those in the previous step) evolve. After a sufficiently long time, a new “asymptotic” stationary solution is reached, which represents a second income distribution. It is that one displayed in Panel (ii) in Figure 1.
Step (iii): To simulate the implementation of a more targeted fiscal policy, we now introduce another change amounting to the choice of a progressive taxation. Equivalently, we fix different tax rates, lower for low-income earners and higher for high-income earners. Specifically, we choose here τmin=20% and τmax=50%. The “asymptotic” stationary solution obtained in correspondence to an initial condition coinciding with the asymptotic stationary solution of step (ii) is displayed in Panel (iii) in Figure 1.
Step (iv): As a further focused fiscal policy, we also incorporate in the taxation algorithm what can be thought of as an addition of welfare provision. From a technical point of view, this can be achieved through the introduction of suitable weights in the terms Uhkix and Vhkix in system (Eq. (1)). Such weights allow to differently measure the portion of redistributed tax revenue to individuals of different income classes. A formula able to realise this is given in [11], and we refer to that paper for further details. What is of interest here is the final “asymptotic” income distribution relative to the equations, which include this modification and to an initial condition coinciding with the asymptotic stationary solution of step (iii). This income distribution is shown in Panel (iv) in Figure 1.
Figure 1.
The four panels display the stationary income distributions in correspondence to the same given global income for the four different fiscal policies described in steps (i), (ii), (iii), and (iv). Even a simple look provides evidence of the fact that in passing from each panel to the next one the fraction of individuals in the poorest as well as in the richest class decreases while increasing in the intermediate classes. Correspondingly, economic inequality decreases.
Already a simple look at the panels in Figure 1 provides evidence of the fact that the effect in the long run of each of the different fiscal policies adopted throughout the steps (i), (ii), (iii), and (iv) is to modify the income distribution over the population so as to lower the number of individuals in the poorest as well as in the richest classes, simultaneously increasing this number in the intermediate classes. Also, an alternative, unified representation of the four stationary income distributions corresponding to the four different taxation system fiscal policies (i), (ii), (iii), and (iv) is given in Figure 2. Lastly, in Figure 3 the evolution in time of the fraction of individuals in the 15 income classes is displayed. Once again, together with others, one may notice that the fractions of individuals that are initially the largest and the smallest (fractions to which the poorest and the richest individuals belong) are both non-increasing in time.
Figure 2.
An alternative representation of the stationary income distributions in correspondence to a given global income for the four different taxation systems fiscal policies described in steps (i), (ii), (iii), and (iv). One clearly notices that the fraction of the poorest and the fraction of the richest individuals decrease when passing from the distribution for step (i) (corresponding to the strip [0,1]) to the distribution for step (iv) (corresponding to the strip [3, 4]).
Figure 3.
The evolution in time of the fraction of individuals in the 15 income classes for the model with fiscal policies as in steps (ii), (iii), and (iv). One may notice, in particular, that the fractions of individuals which are initially (in the stationary distribution reached in absence of taxes) the largest and the smallest—fractions to which the poorest and the richest individuals belong—are both non-increasing in time.
We emphasise that economic inequality decreases in passing from the income distribution displayed in Panel (i) of Figure 1 to the income distributions in Panel (ii). The same holds true in passing from the distribution in Panel (ii) to that one in Panel (iii), and from the distribution in Panel (ii) to that one in Panel (iv).
A quantitative measure of economic inequality is given by the Gini coefficient G (named after the Italian statistician and economist C. Gini who introduced it in the early twentieth century, see [28]), whose definition we recall next: if the Lorenz curve expresses on the y-axis, the cumulative percentage of the total income of a population earned by the bottom percentage of individuals (represented, in turn, on the x-axis), denote A1 the area between the Lorenz curve of the distribution at hand and the line of perfect equality y=x, characterising a uniform distribution; also, denote A2 the total area under the line of perfect equality. The Gini coefficient is defined as the ratio A1/A2 and takes values in the interval 01. The extreme values 0 and 1 of G respectively represent complete equality and complete inequality.
The Gini coefficients relative to the income distributions in the Panels (i), (ii), (iii), and (iv) in Figure 1 are
G=0.453551,G=0.426308,G=0.386833,G=0.365182E9
respectively.
It is also worth noting that the Gini coefficient decreases along with the solutions of the equation systems relative to the three models defined in steps (ii), (iii), and (iv). In particular, in Table 1 some values of G are reported, relative to the income distributions in a finite number of instants during the evolution of the three dynamical systems. An overall picture of this behaviour is contained in Figure 4: there, the graph of the Gini coefficient as a function of time is shown, in correspondence to the application in the sequence of the three different fiscal policies adopted throughout the steps (ii), (iii), and (iv). Lastly, Figure 5 displays the Lorenz curves corresponding to the stationary income distributions reached at the end of steps (i), (ii), (ii), and (iv).
In this table, the Gini coefficients G relative to the income distributions are evaluated in correspondence of a finite number of times for the model systems described in steps (ii), (iii), and (iv). One sees here that each of the solutions G decreases. Accordingly, economic inequality is decreasing for each of the three models (ii), (iii), and (iv), models characterised respectively by the existence of a taxation system with a unique tax rate, the existence of a progressive taxation system with different tax rates, the existence of a taxation system integrated by welfare.
refers the solution at time $t$ of the equation system with coefficients as in step (ii),
refers to the solution at time $t$ of the equation system with coefficients as in step (iii),
refers to the solution at time $t$ of the equation system with coefficients as in step (iv).
Figure 4.
The graph of the Gini coefficient as a function of time in correspondence to the application in the sequence of the three different fiscal policies adopted throughout the steps (ii), (iii), and (iv).
Figure 5.
The Lorenz curves corresponding to the stationary income distributions reached at the end of steps (i), (ii), (ii), and (iv). The variable on the x-axis denotes the bottom percentage of individuals and the variable on the y-axis is the cumulative percentage of the total income earned by the corresponding percentage of individuals. The Lorenz curves referring to the final distribution relative to steps (i), (ii), (ii), and (iv) are ordered from the lowest to the highest. Accordingly, in passing from step (i) to step (ii) to step (iii) to step (iv) the Gini coefficient decreases.
5. Conclusions
In this chapter, we have revisited, also discussing a novel application of it, a mathematical “micro-to-macro” model suitable for the study of the aggregate formation of the income distribution in a closed market society out of a whole of economic interactions including taxation and redistribution. The model, originally proposed by Bertotti in [8], was further developed and analysed in various papers by Bertotti et al. [9, 10, 11, 12, 13]. We have shown that it can be adapted to analyse issues related to economic inequality. In particular, the model identifies in redistributive policy a driver towards economic inequality reduction. The theme is complex and requires a broad spectrum of skills, knowledge, real data, ideas. The model encompasses (as is inevitable) great simplifications and probably a naive approach, and cannot offer magical solutions to the problems it addresses. Nonetheless, thanks to the considerable flexibility it enjoys and to its ability to make predictions in the presence of different conditions and policies, it could hopefully contribute to providing some insight towards forecasting of possible outcomes and behaviours, in this way serving as an inspiration and source of suggestions for policy-makers.
\n',keywords:"taxation and redistribution, welfare, income distribution, economic inequality, mathematical models",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/79337.pdf",chapterXML:"https://mts.intechopen.com/source/xml/79337.xml",downloadPdfUrl:"/chapter/pdf-download/79337",previewPdfUrl:"/chapter/pdf-preview/79337",totalDownloads:81,totalViews:0,totalCrossrefCites:0,dateSubmitted:null,dateReviewed:"September 30th 2021",datePrePublished:"November 14th 2021",datePublished:null,dateFinished:"November 14th 2021",readingETA:"0",abstract:"Reducing inequality is a tremendously important sustainable development goal. Albeit providing stylised frames for modelling, also mathematics can contribute to understanding and explaining the emergence of collective patterns in complex socio-economic systems. It can then effectively help to identify actions and measures to be taken and support policy-makers towards adoption of conceivable welfare measures aimed at halting the growth of inequality. Based on these assumptions, we here discuss some variants of a mathematical “micro-to-macro” model for the dynamics of taxation and redistribution processes in a closed trading market society. The model has an exploratory character resulting from possible tuning of various parameters involved: through its analysis, one can foresee the consequences on the long-run income distributions of different fiscal policies and differently weighted welfare policies, interventions, and subsidy provision, as well as the impact of the extent of tax evasion. In short, the model shows that in the long term redistributive policy results in a lower level of economic inequality in society.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/79337",risUrl:"/chapter/ris/79337",signatures:"Maria Letizia Bertotti",book:{id:"10977",type:"book",title:"Macroeconomic Analysis for Economic Growth",subtitle:null,fullTitle:"Macroeconomic Analysis for Economic Growth",slug:null,publishedDate:null,bookSignature:"Dr. Musa Jega Ibrahim",coverURL:"https://cdn.intechopen.com/books/images_new/10977.jpg",licenceType:"CC BY 3.0",editedByType:null,isbn:"978-1-83969-882-8",printIsbn:"978-1-83969-881-1",pdfIsbn:"978-1-83969-883-5",isAvailableForWebshopOrdering:!0,editors:[{id:"107299",title:"Dr.",name:"Musa Jega",middleName:null,surname:"Ibrahim",slug:"musa-jega-ibrahim",fullName:"Musa Jega Ibrahim"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:null,sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. General framework",level:"1"},{id:"sec_3",title:"3. Properties of the model and its variants",level:"1"},{id:"sec_4",title:"4. The impact of different fiscal policies towards economic inequality",level:"1"},{id:"sec_5",title:"5. Conclusions",level:"1"}],chapterReferences:[{id:"B1",body:'Corak M. Income inequality, equality of opportunity, and intergenerational mobility. Journal of Economic Perspectives. 2013;27:79-102. DOI: 10.1257/jep.27.3.79'},{id:"B2",body:'Piketty T, Saez E. Inequality in the long run. Science. 2014;344:838-843. DOI: 10.1126/science.1251936'},{id:"B3",body:'Stiglitz JE. The Price of Inequality: How Today’s Divided Society Endangers Our Future. New York: W.W. Norton & Company; 2012'},{id:"B4",body:'Deaton A. The Great Escape: Health, Wealth, and the Origins of Inequality. Princeton: Princeton University Press; 2013'},{id:"B5",body:'Atkinson AB. Inequality: What Can Be Done? Cambridge: Harvard University Press; 2015'},{id:"B6",body:'Milanovic B. Global Inequality. A New Approach for the Age of Globalization. Cambridge: Harvard University Press; 2016'},{id:"B7",body:'World Inequality Database: Home—WID. Available from: https://wid.world [Accessed: 05 August 2021]'},{id:"B8",body:'Bertotti ML. Modelling taxation and redistribution: A discrete active particle kinetic approach. Applied Mathematics and Computation. 2010;217:752-762. DOI: 10.1016/j.amc.2010.06.013'},{id:"B9",body:'Bertotti ML, Modanese G. From microscopic taxation and redistribution models to macroscopic income distributions. Physica A. 2011;390:3782-3793. DOI: 10.1016/j.physa.2011.06.008'},{id:"B10",body:'Bertotti ML, Modanese G. Exploiting the flexibility of a family of models for taxation and redistribution. European Physical Journal B. 2012;85:261. DOI: 10.1140/epjb/e2012-30239-3'},{id:"B11",body:'Bertotti ML, Modanese G. Microscopic models for welfare measures addressing a reduction of economic inequality. Complexity. 2016;21:89-98. DOI: 10.1002/cplx.21669'},{id:"B12",body:'Bertotti ML, Modanese G. Economic inequality and mobility in kinetic models for social sciences. European Physical Journal Special Topics. 2016;225:1945-1958. DOI: 10.1140/epjst/e2015-50117-8'},{id:"B13",body:'Bertotti ML, Modanese G. Mathematical models describing the effects of different tax evasion behaviors. Journal of Economic Interaction and Coordination. 2018;13:351-363. DOI: 10.1007/s11403-016-0185-9'},{id:"B14",body:'Arthur WB, Durlauf S, Lane DA. Process and the emergence in the economy. In: Arthur WB, Durlauf S, Lane DA, editors. The Economy as an Evolving Complex System II. Reading: Addison-Wesley; 1997. pp. 2-14'},{id:"B15",body:'Kirman A. Complex Economics: Individual and Collective Rationality. London: Routledge; 2010'},{id:"B16",body:'Arthur WB. Complexity and the Economy. Oxford: Oxford University Press; 2014'},{id:"B17",body:'Yakovenko VM, Rosser JB Jr. Colloquium: Statistical mechanics of money, wealth, and income. Reviews of Modern Physics. 2009;81:1703-1725. DOI: 10.1103/RevModPhys.81.1703'},{id:"B18",body:'Chatterjee A, Chakrabarti BK, Manna SS. Pareto law in a kinetic model of market with random saving propensity. Physica A. 2004;335:155-163. DOI: 10.1016/j.physa.2003.11.014'},{id:"B19",body:'Cordier S, Pareschi L, Toscani G. On a kinetic model for a simple market economy. Journal of Statistical Physics. 2005;120:253-277. DOI: 10.1007/s10955-005-5456-0'},{id:"B20",body:'Matthes D, Toscani G. On steady distributions of kinetic models of conservative economies. Journal of Statistical Physics. 2008;130:1087-1117. DOI: 10.1007/s10955-007-9462-2'},{id:"B21",body:'Chakrabarti BK, Chakraborti A, Chakravarty SR, Chatterjee A. Econophysics of Income and Wealth Distributions. Cambridge: Cambridge University Press; 2013'},{id:"B22",body:'Lux T. Applications of statistical physics to finance and economics. In: Rosser JB Jr, editor. Handbook of Research on Complexity. Edward Elgar Publishing: Cheltenham; 2009. pp. 213-258'},{id:"B23",body:'Kutner R, Ausloos M, Grech D, Di Matteo T, Schinckus C, Stanley HE. Econophysics and sociophysics: Their milestones & challenges. Physica A. 2019;516:240-253. DOI: 10.1016/j.physa.2018.10.019'},{id:"B24",body:'Wolfram Research, Inc. Mathematica, Version 12.3.0.0. Champaign, IL: Wolfram Research, Inc.; 2021'},{id:"B25",body:'Kaniadakis G. Non-linear kinetics underlying generalized statistics. Physica A. 2001;296:405-425. DOI: 10.1016/S0378-4371(01)00184-4'},{id:"B26",body:'Clementi F, Gallegati M, Kaniadakis G κ-generalized statistics in personal income distribution. European Physical Journal B. 2007; 52: 187-193. DOI: 10.1140/epjb/e2007-00120-9'},{id:"B27",body:'Clementi F, Di Matteo T, Gallegati M, Kaniadakis G. The κ-generalized distribution: A new descriptive model for the size distribution of incomes. Physica A. 2008;387:3201-3208. DOI: 10.1016/j.physa.2008.01.109'},{id:"B28",body:'Gini C. Variabilità e mutabilità. Contributo allo studio delle distribuzioni e delle relazioni statistiche. Bologna: Tipografia di Paolo Cuppini; 1912'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Maria Letizia Bertotti",address:"marialetizia.bertotti@unibz.it",affiliation:'
Free University of Bozen-Bolzano, Bolzano, Italy
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Mainly, the versatile techniques of ultra−/high-performance liquid chromatography (UPLC/HPLC) are in use for the analysis of assay and organic impurities/related substances/degradation products of a drug substance or drug product or intermediate or raw material of pharmaceuticals. A suitable analytical method is developed only after evaluating the major and critical separation parameters of chromatography (examples for UPLC/HPLC are selection of diluent, wavelength, detector, stationary phase, column temperature, flow rate, solvent system, elution mode, and injection volume, etc.). The analytical method development is a process of proving the developed analytical method is suitable for its intended use for the quantitative estimation of the targeted analyte present in pharmaceutical drugs. And it mostly plays a vital role in the development and manufacture of pharmaceuticals drugs.",book:{id:"8912",slug:"biochemical-analysis-tools-methods-for-bio-molecules-studies",title:"Biochemical Analysis Tools",fullTitle:"Biochemical Analysis Tools - Methods for Bio-Molecules Studies"},signatures:"Narasimha S. Lakka and Chandrasekar Kuppan",authors:[{id:"304950",title:"Prof.",name:"Chandrasekar",middleName:null,surname:"Kuppan",slug:"chandrasekar-kuppan",fullName:"Chandrasekar Kuppan"},{id:"309984",title:"Mr.",name:"Narasimha S",middleName:null,surname:"Lakka",slug:"narasimha-s-lakka",fullName:"Narasimha S Lakka"}]},{id:"33046",title:"Affinity Chromatography: Principles and Applications",slug:"affinity-chromatography-principles-and-applications",totalDownloads:48609,totalCrossrefCites:8,totalDimensionsCites:21,abstract:null,book:{id:"1490",slug:"affinity-chromatography",title:"Affinity Chromatography",fullTitle:"Affinity Chromatography"},signatures:"Sameh Magdeldin and Annette Moser",authors:[{id:"123648",title:"Dr.",name:"Sameh",middleName:null,surname:"Magdeldin",slug:"sameh-magdeldin",fullName:"Sameh Magdeldin"},{id:"136483",title:"Dr.",name:"Annette",middleName:"C.",surname:"Moser",slug:"annette-moser",fullName:"Annette Moser"}]},{id:"50574",title:"Bioinformatics for RNA‐Seq Data Analysis",slug:"bioinformatics-for-rna-seq-data-analysis",totalDownloads:5930,totalCrossrefCites:6,totalDimensionsCites:7,abstract:"While RNA sequencing (RNA‐seq) has become increasingly popular for transcriptome profiling, the analysis of the massive amount of data generated by large‐scale RNA‐seq still remains a challenge. RNA‐seq data analyses typically consist of (1) accurate mapping of millions of short sequencing reads to a reference genome, including the identification of splicing events; (2) quantifying expression levels of genes, transcripts, and exons; (3) differential analysis of gene expression among different biological conditions; and (4) biological interpretation of differentially expressed genes. Despite the fact that multiple algorithms pertinent to basic analyses have been developed, there are still a variety of unresolved questions. In this chapter, we review the main tools and algorithms currently available for RNA‐seq data analyses, and our goal is to help RNA‐seq data analysts to make an informed choice of tools in practical RNA‐seq data analysis. In the meantime, RNA‐seq is evolving rapidly, and newer sequencing technologies are briefly introduced, including stranded RNA‐seq, targeted RNA‐seq, and single‐cell RNA‐seq.",book:{id:"5160",slug:"bioinformatics-updated-features-and-applications",title:"Bioinformatics",fullTitle:"Bioinformatics - Updated Features and Applications"},signatures:"Shanrong Zhao, Baohong Zhang, Ying Zhang, William Gordon,\nSarah Du, Theresa Paradis, Michael Vincent and David von Schack",authors:[{id:"176364",title:"Dr.",name:"Shanrong",middleName:null,surname:"Zhao",slug:"shanrong-zhao",fullName:"Shanrong Zhao"}]},{id:"49873",title:"An Introduction to Actinobacteria",slug:"an-introduction-to-actinobacteria",totalDownloads:8089,totalCrossrefCites:29,totalDimensionsCites:101,abstract:"Actinobacteria, which share the characteristics of both bacteria and fungi, are widely distributed in both terrestrial and aquatic ecosystems, mainly in soil, where they play an essential role in recycling refractory biomaterials by decomposing complex mixtures of polymers in dead plants and animals and fungal materials. They are considered as the biotechnologically valuable bacteria that are exploited for its secondary metabolite production. Approximately, 10,000 bioactive metabolites are produced by Actinobacteria, which is 45% of all bioactive microbial metabolites discovered. Especially Streptomyces species produce industrially important microorganisms as they are a rich source of several useful bioactive natural products with potential applications. Though it has various applications, some Actinobacteria have its own negative effect against plants, animals, and humans. On this context, this chapter summarizes the general characteristics of Actinobacteria, its habitat, systematic classification, various biotechnological applications, and negative impact on plants and animals.",book:{id:"5056",slug:"actinobacteria-basics-and-biotechnological-applications",title:"Actinobacteria",fullTitle:"Actinobacteria - Basics and Biotechnological Applications"},signatures:"Ranjani Anandan, Dhanasekaran Dharumadurai and Gopinath\nPonnusamy Manogaran",authors:[{id:"48914",title:"Dr.",name:"Dharumadurai",middleName:null,surname:"Dhanasekaran",slug:"dharumadurai-dhanasekaran",fullName:"Dharumadurai Dhanasekaran"}]},{id:"72074",title:"The Chemistry Behind Plant DNA Isolation Protocols",slug:"the-chemistry-behind-plant-dna-isolation-protocols",totalDownloads:3691,totalCrossrefCites:3,totalDimensionsCites:5,abstract:"Various plant species are biochemically heterogeneous in nature, a single deoxyribose nucleic acid (DNA) isolation protocol may not be suitable. There have been continuous modification and standardization in DNA isolation protocols. Most of the plant DNA isolation protocols used today are modified versions of hexadecyltrimethyl-ammonium bromide (CTAB) extraction procedure. Modification is usually performed in the concentration of chemicals used during the extraction procedure according to the plant species and plant part used. Thus, understanding the role of each chemical (viz. CTAB, NaCl, PVP, ethanol, and isopropanol) used during the DNA extraction procedure will benefit to set or modify protocols for more precisions. A review of the chemicals used in the CTAB method of DNA extraction and their probable functions on the highly evolved yet complex to students and researchers has been summarized.",book:{id:"8912",slug:"biochemical-analysis-tools-methods-for-bio-molecules-studies",title:"Biochemical Analysis Tools",fullTitle:"Biochemical Analysis Tools - Methods for Bio-Molecules Studies"},signatures:"Jina Heikrujam, Rajkumar Kishor and Pranab Behari Mazumder",authors:[{id:"74521",title:"Dr.",name:"Rajkumar",middleName:null,surname:"Kishor",slug:"rajkumar-kishor",fullName:"Rajkumar Kishor"},{id:"309357",title:"Prof.",name:"Pranab Behari",middleName:null,surname:"Mazumder",slug:"pranab-behari-mazumder",fullName:"Pranab Behari Mazumder"},{id:"318351",title:"Ph.D. Student",name:"Jina",middleName:null,surname:"Heikrujam",slug:"jina-heikrujam",fullName:"Jina Heikrujam"}]}],onlineFirstChaptersFilter:{topicId:"6",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"82195",title:"Endoplasmic Reticulum: A Hub in Lipid Homeostasis",slug:"endoplasmic-reticulum-a-hub-in-lipid-homeostasis",totalDownloads:4,totalDimensionsCites:0,doi:"10.5772/intechopen.105450",abstract:"Endoplasmic Reticulum (ER) is the largest and one of the most complex cellular structures, indicating its widespread importance and variety of functions, including synthesis of membrane and secreted proteins, protein folding, calcium storage, and membrane lipid biogenesis. Moreover, the ER is implicated in cholesterol, plasmalogen, phospholipid, and sphingomyelin biosynthesis. Furthermore, the ER is in contact with most cellular organelles, such as mitochondria, peroxisomes, Golgi apparatus, lipid droplets, plasma membrane, etc. Peroxisomes are synthesized from a specific ER section, and they are related to very-long-chain fatty acid metabolism. Similarly, lipid droplets are vital structures in lipid homeostasis that are formed from the ER membrane. Additionally, there is a specific region between the ER-mitochondria interface called Mitochondria-Associated Membranes (MAMs). This small cytosolic gap plays a key role in several crucial mechanisms from autophagosome synthesis to phospholipid transfer. Due to the importance of the ER in a variety of biological processes, alterations in its functionality have relevant implications for multiple diseases. Nowadays, a plethora of pathologies like non-alcoholic steatohepatitis (NASH), cancer, and neurological alterations have been associated with ER malfunctions.",book:{id:"11674",title:"Updates on Endoplasmic Reticulum",coverURL:"https://cdn.intechopen.com/books/images_new/11674.jpg"},signatures:"Raúl Ventura and María Isabel Hernández-Alvarez"},{id:"82409",title:"Purinergic Signaling in Covid-19 Disease",slug:"purinergic-signaling-in-covid-19-disease",totalDownloads:5,totalDimensionsCites:0,doi:"10.5772/intechopen.105008",abstract:"SARS-CoV-2 virus infection causes the Covid-19 disease pandemic. Purinergic signaling is a form of extracellular signaling. Purinergic signaling plays significant role in the pathology of Covid-19. Purinergic system includes extracellular nucleotides, nucleosides, ectonucleotidases, and purinergic receptors. ATP, ADP, and adenosine are the main nucleotides, nucleosides. CD39 and CD73 are the main ectonucleotidases. There are two classes of purinergic receptors, P1 and P2. Each of them can be further divided, P1 into A1, A2A, A2B, and A3, P2 into P2X, and P2Y. In Covid-19, the purinergic system is disordered. SARS-CoV-2 viruses invading leads to extracellular ATP and ADP accumulation, purinergic receptor abnormally activation, tissue homeostasis balance is broken, which lead to inflammation even hyperinflammation with cytokine storm and thrombosis et al. symptoms. Currently, Covid-19 therapeutic medicine is still in shortage. Target purinergic system components is a promising way to treat Covid-19, which will help inhibit inflammation and prevent thrombosis. Currently, many relevant preclinical and clinical trials are ongoing. Some are very promising.",book:{id:"10801",title:"Purinergic System",coverURL:"https://cdn.intechopen.com/books/images_new/10801.jpg"},signatures:"Hailian Shen"},{id:"81708",title:"High Throughput Methods to Transfer DNA in Cells and Perspectives",slug:"high-throughput-methods-to-transfer-dna-in-cells-and-perspectives",totalDownloads:6,totalDimensionsCites:0,doi:"10.5772/intechopen.104542",abstract:"Genome sequencing led to thousands of genes to study and their molecular cloning to provide ORF collection plasmids. The main approach to study their function involves analysis of the biological consequences of their expression or knockdown, in a cellular context. Given that, the starting point of such experiments is the delivery of the exogenous material, including plasmid DNA in cells. During the last decades, efforts were made to develop efficient methods and protocols to achieve this goal. The present chapter will first give a rapid overview of the main DNA transfer methods described so far: physical, chemical, and biological. Secondly, it will focus on the different methods having reached high-throughput nowadays. Finally, it will discuss the perspectives of this field in terms of future enhancements.",book:{id:"11356",title:"Molecular Cloning",coverURL:"https://cdn.intechopen.com/books/images_new/11356.jpg"},signatures:"Colin Béatrice and Couturier Cyril"},{id:"82374",title:"The Potential of the Purinergic System as a Therapeutic Target of Natural Compounds in Cutaneous Melanoma",slug:"the-potential-of-the-purinergic-system-as-a-therapeutic-target-of-natural-compounds-in-cutaneous-mel",totalDownloads:10,totalDimensionsCites:0,doi:"10.5772/intechopen.105457",abstract:"Cutaneous melanoma is an aggressive and difficult-to-treat disease that has rapidly grown worldwide. The pharmacotherapy available in so many cases results in low response and undesirable side effects, which impair the life quality of those affected. Several studies have been shown that the purinergic system is involved in cancer context, such as in cutaneous melanoma. With technological advances, several bioactive compounds from nature are studied and presented as promising adjuvant therapies against cancer, as phenolic compounds and related action by purinergic system modulations. Thus, phenolic compounds such as rosmarinic acid, resveratrol, tannic acid, as well as vitamin D may be promising substances in a therapeutic perspective to treat cutaneous melanoma via purinergic system pathway. More research needs to be done to open up new horizons in the treatment of melanoma by the purinergic signaling.",book:{id:"10801",title:"Purinergic System",coverURL:"https://cdn.intechopen.com/books/images_new/10801.jpg"},signatures:"Gilnei Bruno da Silva, Daiane Manica, Marcelo Moreno and Margarete Dulce Bagatini"},{id:"82338",title:"Advantages of Noncoding RNAs in Molecular Diagnosis",slug:"advantages-of-noncoding-rnas-in-molecular-diagnosis",totalDownloads:9,totalDimensionsCites:0,doi:"10.5772/intechopen.105525",abstract:"Noncoding RNAs contribute to physiological processes by regulating many intracellular molecules participating in the life-supporting mechanisms of development, differentiation, and regeneration as well as by disrupting various signaling mechanisms such as disease development and progression and tumor growth. Because microRNAs (miRNAs) target and regulate the functions of key proteins, it is very useful to identify specific miRNAs that contribute to cellular functions and to clarify the roles of their target molecules as diagnostic and therapeutic strategies for cancer prognosis and treatment. In this section, the roles of miRNAs in various cancers and the processes leading to the identification of their target molecules are described, and the latest diagnostic strategies using miRNAs are discussed with specific examples.",book:{id:"11353",title:"Recent Advances in Non-Coding RNAs",coverURL:"https://cdn.intechopen.com/books/images_new/11353.jpg"},signatures:"Tomomi Fujii, Tomoko Uchiyama and Maiko Takeda"},{id:"82298",title:"Predicting SNPs in Mature MicroRNAs Dysregulated in Breast Cancer",slug:"predicting-snps-in-mature-micrornas-dysregulated-in-breast-cancer",totalDownloads:12,totalDimensionsCites:0,doi:"10.5772/intechopen.105514",abstract:"Breast cancer (BC) is the leading type of cancer among women. Findings have revolutionized current knowledge of microRNA (miRNA) in breast tumorigenesis. The seed region of miRNA regulates the process of gene expression negatively. The presence of SNPs in the seed regions of miRNA dramatically alters the mature miRNA function. Additionally, SNPs in the out-seed region of miRNAs have a significant impact on miRNA targeting. This study focuses on the in silico analysis procedure of mature miRNA SNPs and their impact on BC risk. The database annotated SNPs on mature miRNAs was used. Also, target gene alterations, miRNAs function in BC, and the interaction of miRNAs with targets were predicted. A list of 101 SNPs in 100 miRNAs with functional targets in BC was indicated. Under the SNPs allele variation, 10 miRNAs changed function, 6 miRNAs lost targets, 15 miRNAs gained targets, 48 onco-miRNAs remained unchanged, and 21 tumor suppressor miRNAs remained unchanged. At last, a list of 89 SNPs, which alter miRNA function and miRNA-mRNA interaction, were shown to be potentially associated with BC risk. This research theoretically generated a list of possible causative SNPs in the mature miRNA gene that might be used in future BC management studies.",book:{id:"11353",title:"Recent Advances in Non-Coding RNAs",coverURL:"https://cdn.intechopen.com/books/images_new/11353.jpg"},signatures:"Thanh Thi Ngoc Nguyen, Thu Huynh Ngoc Nguyen, Luan Huu Huynh, Hoang Ngo Phan and Hue Thi Nguyen"}],onlineFirstChaptersTotal:59},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:89,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:32,numberOfPublishedChapters:318,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:12,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:129,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:113,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:106,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:5,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:15,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983",scope:"Biochemistry, the study of chemical transformations occurring within living organisms, impacts all areas of life sciences, from molecular crystallography and genetics to ecology, medicine, and population biology. Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. 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Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:4,paginationItems:[{id:"14",title:"Cell and Molecular Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",isOpenForSubmission:!0,editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",slug:"rosa-maria-martinez-espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",biography:"Dr. Rosa María Martínez-Espinosa has been a Spanish Full Professor since 2020 (Biochemistry and Molecular Biology) and is currently Vice-President of International Relations and Cooperation development and leader of the research group 'Applied Biochemistry” (University of Alicante, Spain). Other positions she has held at the university include Vice-Dean of Master Programs, Vice-Dean of the Degree in Biology and Vice-Dean for Mobility and Enterprise and Engagement at the Faculty of Science (University of Alicante). She received her Bachelor in Biology in 1998 (University of Alicante) and her PhD in 2003 (Biochemistry, University of Alicante). She undertook post-doctoral research at the University of East Anglia (Norwich, U.K. 2004-2005; 2007-2008).\nHer multidisciplinary research focuses on investigating archaea and their potential applications in biotechnology. She has an H-index of 21. She has authored one patent and has published more than 70 indexed papers and around 60 book chapters.\nShe has contributed to more than 150 national and international meetings during the last 15 years. Her research interests include archaea metabolism, enzymes purification and characterization, gene regulation, carotenoids and bioplastics production, antioxidant\ncompounds, waste water treatments, and brines bioremediation.\nRosa María’s other roles include editorial board member for several journals related\nto biochemistry, reviewer for more than 60 journals (biochemistry, molecular biology, biotechnology, chemistry and microbiology) and president of several organizing committees in international meetings related to the N-cycle or respiratory processes.",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"15",title:"Chemical Biology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",isOpenForSubmission:!0,editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",slug:"sukru-beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",biography:"Dr. Şükrü Beydemir obtained a BSc in Chemistry in 1995 from Yüzüncü Yıl University, MSc in Biochemistry in 1998, and PhD in Biochemistry in 2002 from Atatürk University, Turkey. He performed post-doctoral studies at Max-Planck Institute, Germany, and University of Florence, Italy in addition to making several scientific visits abroad. He currently works as a Full Professor of Biochemistry in the Faculty of Pharmacy, Anadolu University, Turkey. Dr. Beydemir has published over a hundred scientific papers spanning protein biochemistry, enzymology and medicinal chemistry, reviews, book chapters and presented several conferences to scientists worldwide. He has received numerous publication awards from various international scientific councils. He serves in the Editorial Board of several international journals. Dr. Beydemir is also Rector of Bilecik Şeyh Edebali University, Turkey.",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",slug:"deniz-ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",biography:"Dr. Deniz Ekinci obtained a BSc in Chemistry in 2004, MSc in Biochemistry in 2006, and PhD in Biochemistry in 2009 from Atatürk University, Turkey. He studied at Stetson University, USA, in 2007-2008 and at the Max Planck Institute of Molecular Cell Biology and Genetics, Germany, in 2009-2010. Dr. Ekinci currently works as a Full Professor of Biochemistry in the Faculty of Agriculture and is the Head of the Enzyme and Microbial Biotechnology Division, Ondokuz Mayıs University, Turkey. He is a member of the Turkish Biochemical Society, American Chemical Society, and German Genetics society. Dr. Ekinci published around ninety scientific papers, reviews and book chapters, and presented several conferences to scientists. He has received numerous publication awards from several scientific councils. Dr. Ekinci serves as the Editor in Chief of four international books and is involved in the Editorial Board of several international journals.",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null},{id:"17",title:"Metabolism",coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",isOpenForSubmission:!0,editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",slug:"yannis-karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",biography:"Yannis Karamanos, born in Greece in 1953, completed his pre-graduate studies at the Université Pierre et Marie Curie, Paris, then his Masters and Doctoral degree at the Université de Lille (1983). He was associate professor at the University of Limoges (1987) before becoming full professor of biochemistry at the Université d’Artois (1996). He worked on the structure-function relationships of glycoconjugates and his main project was the investigations on the biological roles of the de-N-glycosylation enzymes (Endo-N-acetyl-β-D-glucosaminidase and peptide-N4-(N-acetyl-β-glucosaminyl) asparagine amidase). From 2002 he contributes to the understanding of the Blood-brain barrier functioning using proteomics approaches. He has published more than 70 papers. His teaching areas are energy metabolism and regulation, integration and organ specialization and metabolic adaptation.",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null},{id:"18",title:"Proteomics",coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",isOpenForSubmission:!0,editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",slug:"paolo-iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",biography:"Paolo Iadarola graduated with a degree in Chemistry from the University of Pavia (Italy) in July 1972. He then worked as an Assistant Professor at the Faculty of Science of the same University until 1984. In 1985, Prof. Iadarola became Associate Professor at the Department of Biology and Biotechnologies of the University of Pavia and retired in October 2017. Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. 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She gained considerable experience in developing and validating new methodologies whose applications allowed her to determine both the amount of biomarkers (Desmosine and Isodesmosine) in the urine of patients affected by COPD, and the activity of proteolytic enzymes (HNE, Cathepsin G, Pseudomonas aeruginosa elastase) in the sputa of these patients. Simona Viglio was also involved in research dealing with the supplementation of amino acids in patients with brain injury and chronic heart failure. She is presently engaged in the development of 2-DE and LC-MS techniques for the study of proteomics in biological fluids. The aim of this research is the identification of potential biomarkers of lung diseases. She is an author of about 90 publications (According to Scopus: H-Index: 23; According to WOS: H-Index: 20) on peer-reviewed journals, a member of the “Società Italiana di Biochimica e Biologia Molecolare,“ and a Consultant Reviewer for International Journal of Molecular Science, Journal of Chromatography A, COPD, Plos ONE and Nutritional Neuroscience.",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null}]},overviewPageOFChapters:{paginationCount:36,paginationItems:[{id:"82195",title:"Endoplasmic Reticulum: A Hub in Lipid Homeostasis",doi:"10.5772/intechopen.105450",signatures:"Raúl Ventura and María Isabel Hernández-Alvarez",slug:"endoplasmic-reticulum-a-hub-in-lipid-homeostasis",totalDownloads:4,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Updates on Endoplasmic Reticulum",coverURL:"https://cdn.intechopen.com/books/images_new/11674.jpg",subseries:{id:"14",title:"Cell and Molecular Biology"}}},{id:"82409",title:"Purinergic Signaling in Covid-19 Disease",doi:"10.5772/intechopen.105008",signatures:"Hailian Shen",slug:"purinergic-signaling-in-covid-19-disease",totalDownloads:5,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Purinergic System",coverURL:"https://cdn.intechopen.com/books/images_new/10801.jpg",subseries:{id:"17",title:"Metabolism"}}},{id:"82374",title:"The Potential of the Purinergic System as a Therapeutic Target of Natural Compounds in Cutaneous Melanoma",doi:"10.5772/intechopen.105457",signatures:"Gilnei Bruno da Silva, Daiane Manica, Marcelo Moreno and Margarete Dulce Bagatini",slug:"the-potential-of-the-purinergic-system-as-a-therapeutic-target-of-natural-compounds-in-cutaneous-mel",totalDownloads:10,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Purinergic System",coverURL:"https://cdn.intechopen.com/books/images_new/10801.jpg",subseries:{id:"17",title:"Metabolism"}}},{id:"82103",title:"The Role of Endoplasmic Reticulum Stress and Its Regulation in the Progression of Neurological and Infectious Diseases",doi:"10.5772/intechopen.105543",signatures:"Mary Dover, Michael Kishek, Miranda Eddins, Naneeta Desar, Ketema Paul and Milan Fiala",slug:"the-role-of-endoplasmic-reticulum-stress-and-its-regulation-in-the-progression-of-neurological-and-i",totalDownloads:6,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Updates on Endoplasmic Reticulum",coverURL:"https://cdn.intechopen.com/books/images_new/11674.jpg",subseries:{id:"14",title:"Cell and Molecular Biology"}}}]},overviewPagePublishedBooks:{paginationCount:32,paginationItems:[{type:"book",id:"7006",title:"Biochemistry and Health Benefits of Fatty Acids",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7006.jpg",slug:"biochemistry-and-health-benefits-of-fatty-acids",publishedDate:"December 19th 2018",editedByType:"Edited by",bookSignature:"Viduranga Waisundara",hash:"c93a00abd68b5eba67e5e719f67fd20b",volumeInSeries:1,fullTitle:"Biochemistry and Health Benefits of Fatty Acids",editors:[{id:"194281",title:"Dr.",name:"Viduranga Y.",middleName:null,surname:"Waisundara",slug:"viduranga-y.-waisundara",fullName:"Viduranga Y. 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She is also the Global Harmonization Initiative (GHI)",institutionString:"Australian College of Business & Technology",institution:null}]},{type:"book",id:"6820",title:"Keratin",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/6820.jpg",slug:"keratin",publishedDate:"December 19th 2018",editedByType:"Edited by",bookSignature:"Miroslav Blumenberg",hash:"6def75cd4b6b5324a02b6dc0359896d0",volumeInSeries:2,fullTitle:"Keratin",editors:[{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",slug:"miroslav-blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}}]},{type:"book",id:"7978",title:"Vitamin A",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7978.jpg",slug:"vitamin-a",publishedDate:"May 15th 2019",editedByType:"Edited by",bookSignature:"Leila Queiroz Zepka, Veridiana Vera de Rosso and Eduardo Jacob-Lopes",hash:"dad04a658ab9e3d851d23705980a688b",volumeInSeries:3,fullTitle:"Vitamin A",editors:[{id:"261969",title:"Dr.",name:"Leila",middleName:null,surname:"Queiroz Zepka",slug:"leila-queiroz-zepka",fullName:"Leila Queiroz Zepka",profilePictureURL:"https://mts.intechopen.com/storage/users/261969/images/system/261969.png",biography:"Prof. Dr. Leila Queiroz Zepka is currently an associate professor in the Department of Food Technology and Science, Federal University of Santa Maria, Brazil. 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Her research interests include microalgal biotechnology with an emphasis on microalgae-based products.",institutionString:"Universidade Federal de Santa Maria",institution:{name:"Universidade Federal de Santa Maria",institutionURL:null,country:{name:"Brazil"}}}]},{type:"book",id:"7953",title:"Bioluminescence",subtitle:"Analytical Applications and Basic Biology",coverURL:"https://cdn.intechopen.com/books/images_new/7953.jpg",slug:"bioluminescence-analytical-applications-and-basic-biology",publishedDate:"September 25th 2019",editedByType:"Edited by",bookSignature:"Hirobumi Suzuki",hash:"3a8efa00b71abea11bf01973dc589979",volumeInSeries:4,fullTitle:"Bioluminescence - Analytical Applications and Basic Biology",editors:[{id:"185746",title:"Dr.",name:"Hirobumi",middleName:null,surname:"Suzuki",slug:"hirobumi-suzuki",fullName:"Hirobumi Suzuki",profilePictureURL:"https://mts.intechopen.com/storage/users/185746/images/system/185746.png",biography:"Dr. Hirobumi Suzuki received his Ph.D. in 1997 from Tokyo Metropolitan University, Japan, where he studied firefly phylogeny and the evolution of mating systems. He is especially interested in the genetic differentiation pattern and speciation process that correlate to the flashing pattern and mating behavior of some fireflies in Japan. He then worked for Olympus Corporation, a Japanese manufacturer of optics and imaging products, where he was involved in the development of luminescence technology and produced a bioluminescence microscope that is currently being used for gene expression analysis in chronobiology, neurobiology, and developmental biology. 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Dr. Şentürk serves as the editorial board member of several international journals.",institutionString:"Ağrı İbrahim Çeçen University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"Ağrı İbrahim Çeçen University",institutionURL:null,country:{name:"Turkey"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}],selectedSeries:{id:"11",title:"Biochemistry"},selectedSubseries:{id:"18",title:"Proteomics",coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",slug:"paolo-iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",biography:"Paolo Iadarola graduated with a degree in Chemistry from the University of Pavia (Italy) in July 1972. He then worked as an Assistant Professor at the Faculty of Science of the same University until 1984. In 1985, Prof. Iadarola became Associate Professor at the Department of Biology and Biotechnologies of the University of Pavia and retired in October 2017. Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. He is a Consultant Reviewer for several journals, including the Journal of Chromatography A, Journal of Chromatography B, Plos ONE, Proteomes, International Journal of Molecular Science, Biotech, Electrophoresis, and others. He is also Associate Editor of Biotech.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",slug:"simona-viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",biography:"Simona Viglio is an Associate Professor of Biochemistry at the Department of Molecular Medicine at the University of Pavia. She has been working since 1995 on the determination of proteolytic enzymes involved in the degradation process of connective tissue matrix and on the identification of biological markers of lung diseases. She gained considerable experience in developing and validating new methodologies whose applications allowed her to determine both the amount of biomarkers (Desmosine and Isodesmosine) in the urine of patients affected by COPD, and the activity of proteolytic enzymes (HNE, Cathepsin G, Pseudomonas aeruginosa elastase) in the sputa of these patients. Simona Viglio was also involved in research dealing with the supplementation of amino acids in patients with brain injury and chronic heart failure. She is presently engaged in the development of 2-DE and LC-MS techniques for the study of proteomics in biological fluids. The aim of this research is the identification of potential biomarkers of lung diseases. She is an author of about 90 publications (According to Scopus: H-Index: 23; According to WOS: H-Index: 20) on peer-reviewed journals, a member of the “Società Italiana di Biochimica e Biologia Molecolare,“ and a Consultant Reviewer for International Journal of Molecular Science, Journal of Chromatography A, COPD, Plos ONE and Nutritional Neuroscience.",institutionString:null,position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null,series:{id:"11",title:"Biochemistry"}}},seriesLanding:{item:{id:"11",title:"Biochemistry",doi:"10.5772/intechopen.72877",issn:"2632-0983",scope:"Biochemistry, the study of chemical transformations occurring within living organisms, impacts all areas of life sciences, from molecular crystallography and genetics to ecology, medicine, and population biology. Biochemistry examines macromolecules - proteins, nucleic acids, carbohydrates, and lipids – and their building blocks, structures, functions, and interactions. Much of biochemistry is devoted to enzymes, proteins that catalyze chemical reactions, enzyme structures, mechanisms of action and their roles within cells. Biochemistry also studies small signaling molecules, coenzymes, inhibitors, vitamins, and hormones, which play roles in life processes. Biochemical experimentation, besides coopting classical chemistry methods, e.g., chromatography, adopted new techniques, e.g., X-ray diffraction, electron microscopy, NMR, radioisotopes, and developed sophisticated microbial genetic tools, e.g., auxotroph mutants and their revertants, fermentation, etc. More recently, biochemistry embraced the ‘big data’ omics systems. Initial biochemical studies have been exclusively analytic: dissecting, purifying, and examining individual components of a biological system; in the apt words of Efraim Racker (1913 –1991), “Don’t waste clean thinking on dirty enzymes.” Today, however, biochemistry is becoming more agglomerative and comprehensive, setting out to integrate and describe entirely particular biological systems. The ‘big data’ metabolomics can define the complement of small molecules, e.g., in a soil or biofilm sample; proteomics can distinguish all the comprising proteins, e.g., serum; metagenomics can identify all the genes in a complex environment, e.g., the bovine rumen. This Biochemistry Series will address the current research on biomolecules and the emerging trends with great promise.",coverUrl:"https://cdn.intechopen.com/series/covers/11.jpg",latestPublicationDate:"June 29th, 2022",hasOnlineFirst:!0,numberOfOpenTopics:4,numberOfPublishedChapters:318,numberOfPublishedBooks:32,editor:{id:"31610",title:"Dr.",name:"Miroslav",middleName:null,surname:"Blumenberg",fullName:"Miroslav Blumenberg",profilePictureURL:"https://mts.intechopen.com/storage/users/31610/images/system/31610.jpg",biography:"Miroslav Blumenberg, Ph.D., was born in Subotica and received his BSc in Belgrade, Yugoslavia. He completed his Ph.D. at MIT in Organic Chemistry; he followed up his Ph.D. with two postdoctoral study periods at Stanford University. Since 1983, he has been a faculty member of the RO Perelman Department of Dermatology, NYU School of Medicine, where he is codirector of a training grant in cutaneous biology. Dr. Blumenberg’s research is focused on the epidermis, expression of keratin genes, transcription profiling, keratinocyte differentiation, inflammatory diseases and cancers, and most recently the effects of the microbiome on the skin. He has published more than 100 peer-reviewed research articles and graduated numerous Ph.D. and postdoctoral students.",institutionString:null,institution:{name:"New York University Langone Medical Center",institutionURL:null,country:{name:"United States of America"}}},subseries:[{id:"14",title:"Cell and Molecular Biology",keywords:"Omics (Transcriptomics; Proteomics; Metabolomics), Molecular Biology, Cell Biology, Signal Transduction and Regulation, Cell Growth and Differentiation, Apoptosis, Necroptosis, Ferroptosis, Autophagy, Cell Cycle, Macromolecules and Complexes, Gene Expression",scope:"The Cell and Molecular Biology topic within the IntechOpen Biochemistry Series aims to rapidly publish contributions on all aspects of cell and molecular biology, including aspects related to biochemical and genetic research (not only in humans but all living beings). We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics include, but are not limited to: Advanced techniques of cellular and molecular biology (Molecular methodologies, imaging techniques, and bioinformatics); Biological activities at the molecular level; Biological processes of cell functions, cell division, senescence, maintenance, and cell death; Biomolecules interactions; Cancer; Cell biology; Chemical biology; Computational biology; Cytochemistry; Developmental biology; Disease mechanisms and therapeutics; DNA, and RNA metabolism; Gene functions, genetics, and genomics; Genetics; Immunology; Medical microbiology; Molecular biology; Molecular genetics; Molecular processes of cell and organelle dynamics; Neuroscience; Protein biosynthesis, degradation, and functions; Regulation of molecular interactions in a cell; Signalling networks and system biology; Structural biology; Virology and microbiology.",annualVolume:11410,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/14.jpg",editor:{id:"165627",title:"Dr.",name:"Rosa María",middleName:null,surname:"Martínez-Espinosa",fullName:"Rosa María Martínez-Espinosa",profilePictureURL:"https://mts.intechopen.com/storage/users/165627/images/system/165627.jpeg",institutionString:null,institution:{name:"University of Alicante",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"79367",title:"Dr.",name:"Ana Isabel",middleName:null,surname:"Flores",fullName:"Ana Isabel Flores",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRpIOQA0/Profile_Picture_1632418099564",institutionString:null,institution:{name:"Hospital Universitario 12 De Octubre",institutionURL:null,country:{name:"Spain"}}},{id:"328234",title:"Ph.D.",name:"Christian",middleName:null,surname:"Palavecino",fullName:"Christian Palavecino",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000030DhEhQAK/Profile_Picture_1628835318625",institutionString:null,institution:{name:"Central University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"186585",title:"Dr.",name:"Francisco Javier",middleName:null,surname:"Martin-Romero",fullName:"Francisco Javier Martin-Romero",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSB3HQAW/Profile_Picture_1631258137641",institutionString:null,institution:{name:"University of Extremadura",institutionURL:null,country:{name:"Spain"}}}]},{id:"15",title:"Chemical Biology",keywords:"Phenolic Compounds, Essential Oils, Modification of Biomolecules, Glycobiology, Combinatorial Chemistry, Therapeutic peptides, Enzyme Inhibitors",scope:"Chemical biology spans the fields of chemistry and biology involving the application of biological and chemical molecules and techniques. In recent years, the application of chemistry to biological molecules has gained significant interest in medicinal and pharmacological studies. This topic will be devoted to understanding the interplay between biomolecules and chemical compounds, their structure and function, and their potential applications in related fields. Being a part of the biochemistry discipline, the ideas and concepts that have emerged from Chemical Biology have affected other related areas. This topic will closely deal with all emerging trends in this discipline.",annualVolume:11411,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/15.jpg",editor:{id:"441442",title:"Dr.",name:"Şükrü",middleName:null,surname:"Beydemir",fullName:"Şükrü Beydemir",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003GsUoIQAV/Profile_Picture_1634557147521",institutionString:null,institution:{name:"Anadolu University",institutionURL:null,country:{name:"Turkey"}}},editorTwo:{id:"13652",title:"Prof.",name:"Deniz",middleName:null,surname:"Ekinci",fullName:"Deniz Ekinci",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYLT1QAO/Profile_Picture_1634557223079",institutionString:null,institution:{name:"Ondokuz Mayıs University",institutionURL:null,country:{name:"Turkey"}}},editorThree:null,editorialBoard:[{id:"219081",title:"Dr.",name:"Abdulsamed",middleName:null,surname:"Kükürt",fullName:"Abdulsamed Kükürt",profilePictureURL:"https://mts.intechopen.com/storage/users/219081/images/system/219081.png",institutionString:null,institution:{name:"Kafkas University",institutionURL:null,country:{name:"Turkey"}}},{id:"241413",title:"Dr.",name:"Azhar",middleName:null,surname:"Rasul",fullName:"Azhar Rasul",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRT1oQAG/Profile_Picture_1635251978933",institutionString:null,institution:{name:"Government College University, Faisalabad",institutionURL:null,country:{name:"Pakistan"}}},{id:"178316",title:"Ph.D.",name:"Sergey",middleName:null,surname:"Sedykh",fullName:"Sergey Sedykh",profilePictureURL:"https://mts.intechopen.com/storage/users/178316/images/system/178316.jfif",institutionString:null,institution:{name:"Novosibirsk State University",institutionURL:null,country:{name:"Russia"}}}]},{id:"17",title:"Metabolism",keywords:"Biomolecules Metabolism, Energy Metabolism, Metabolic Pathways, Key Metabolic Enzymes, Metabolic Adaptation",scope:"Metabolism is frequently defined in biochemistry textbooks as the overall process that allows living systems to acquire and use the free energy they need for their vital functions or the chemical processes that occur within a living organism to maintain life. Behind these definitions are hidden all the aspects of normal and pathological functioning of all processes that the topic ‘Metabolism’ will cover within the Biochemistry Series. Thus all studies on metabolism will be considered for publication.",annualVolume:11413,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/17.jpg",editor:{id:"138626",title:"Dr.",name:"Yannis",middleName:null,surname:"Karamanos",fullName:"Yannis Karamanos",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002g6Jv2QAE/Profile_Picture_1629356660984",institutionString:null,institution:{name:"Artois University",institutionURL:null,country:{name:"France"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"243049",title:"Dr.",name:"Anca",middleName:null,surname:"Pantea Stoian",fullName:"Anca Pantea Stoian",profilePictureURL:"https://mts.intechopen.com/storage/users/243049/images/system/243049.jpg",institutionString:null,institution:{name:"Carol Davila University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"203824",title:"Dr.",name:"Attilio",middleName:null,surname:"Rigotti",fullName:"Attilio Rigotti",profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institutionString:null,institution:{name:"Pontifical Catholic University of Chile",institutionURL:null,country:{name:"Chile"}}},{id:"300470",title:"Dr.",name:"Yanfei (Jacob)",middleName:null,surname:"Qi",fullName:"Yanfei (Jacob) Qi",profilePictureURL:"https://mts.intechopen.com/storage/users/300470/images/system/300470.jpg",institutionString:null,institution:{name:"Centenary Institute of Cancer Medicine and Cell Biology",institutionURL:null,country:{name:"Australia"}}}]},{id:"18",title:"Proteomics",keywords:"Mono- and Two-Dimensional Gel Electrophoresis (1-and 2-DE), Liquid Chromatography (LC), Mass Spectrometry/Tandem Mass Spectrometry (MS; MS/MS), Proteins",scope:"With the recognition that the human genome cannot provide answers to the etiology of a disorder, changes in the proteins expressed by a genome became a focus in research. Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. Currently, proteomics relies mainly on mass spectrometry (MS) combined with electrophoretic (1 or 2-DE-MS) and/or chromatographic techniques (LC-MS/MS). MS is an excellent tool that has gained popularity in proteomics because of its ability to gather a complex body of information such as cataloging protein expression, identifying protein modification sites, and defining protein interactions. The Proteomics topic aims to attract contributions on all aspects of MS-based proteomics that, by pushing the boundaries of MS capabilities, may address biological problems that have not been resolved yet.",annualVolume:11414,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/18.jpg",editor:{id:"200689",title:"Prof.",name:"Paolo",middleName:null,surname:"Iadarola",fullName:"Paolo Iadarola",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bSCl8QAG/Profile_Picture_1623568118342",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorTwo:{id:"201414",title:"Dr.",name:"Simona",middleName:null,surname:"Viglio",fullName:"Simona Viglio",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRKDHQA4/Profile_Picture_1630402531487",institutionString:null,institution:{name:"University of Pavia",institutionURL:null,country:{name:"Italy"}}},editorThree:null,editorialBoard:[{id:"72288",title:"Dr.",name:"Arli Aditya",middleName:null,surname:"Parikesit",fullName:"Arli Aditya Parikesit",profilePictureURL:"https://mts.intechopen.com/storage/users/72288/images/system/72288.jpg",institutionString:null,institution:{name:"Indonesia International Institute for Life Sciences",institutionURL:null,country:{name:"Indonesia"}}},{id:"40928",title:"Dr.",name:"Cesar",middleName:null,surname:"Lopez-Camarillo",fullName:"Cesar Lopez-Camarillo",profilePictureURL:"https://mts.intechopen.com/storage/users/40928/images/3884_n.png",institutionString:null,institution:{name:"Universidad Autónoma de la Ciudad de México",institutionURL:null,country:{name:"Mexico"}}},{id:"81926",title:"Dr.",name:"Shymaa",middleName:null,surname:"Enany",fullName:"Shymaa Enany",profilePictureURL:"https://mts.intechopen.com/storage/users/81926/images/system/81926.png",institutionString:"Suez Canal University",institution:{name:"Suez Canal University",institutionURL:null,country:{name:"Egypt"}}}]}]}},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"chapter.detail",path:"/chapters/68763",hash:"",query:{},params:{id:"68763"},fullPath:"/chapters/68763",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()