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.
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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The theory of cryptography and coding theory has evolved to handle many such problems. The emphases of these topics are both on secure communication that uses encryption and decryption schemes as well as on user authentication for the purpose of non-repudiation. Subsequently, the topics of distributed and cloud computing have emerged. Existing results related to cryptography and network security had to be tuned to adapt to these new technologies. With the more recent advancement of mobile technologies and IOT (internet of things), these algorithms had to take into consideration the limited resources such as battery power, storage and processor capabilities. This has led to the development of lightweight cryptography for resource constrained devices. The topic of network security also had to face many challenges owing to variable interconnection topology instead of a fixed interconnection topology. For this reason, the system is susceptible to various attacks from eavesdroppers. This book addresses these issues that arise in present day computing environments and helps the reader to overcome these security threats.",isbn:"978-1-78984-346-0",printIsbn:"978-1-78984-345-3",pdfIsbn:"978-1-83881-628-5",doi:"10.5772/intechopen.71917",price:100,priceEur:109,priceUsd:129,slug:"recent-advances-in-cryptography-and-network-security",numberOfPages:68,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"1fcee77b5c7beb3810f335c1a7f063cf",bookSignature:"Pinaki Mitra",publishedDate:"October 31st 2018",coverURL:"https://cdn.intechopen.com/books/images_new/6664.jpg",numberOfDownloads:4488,numberOfWosCitations:9,numberOfCrossrefCitations:7,numberOfCrossrefCitationsByBook:1,numberOfDimensionsCitations:10,numberOfDimensionsCitationsByBook:1,hasAltmetrics:0,numberOfTotalCitations:26,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"October 31st 2017",dateEndSecondStepPublish:"November 21st 2017",dateEndThirdStepPublish:"January 20th 2018",dateEndFourthStepPublish:"April 10th 2018",dateEndFifthStepPublish:"June 9th 2018",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"89103",title:"Prof.",name:"Pinaki",middleName:null,surname:"Mitra",slug:"pinaki-mitra",fullName:"Pinaki Mitra",profilePictureURL:"https://mts.intechopen.com/storage/users/89103/images/system/89103.jpg",biography:"Pinaki Mitra is currently an associate professor at the Department\nof Computer Science and Engineering, IIT Guwahati. He obtained\nhis B. Tech in Computer Science and Engineering from Jadavpur\nUniversity, Kolkata in 1987, India; and his M. Tech in Computer\nScience and Engineering from the Indian Institute of Science\nBangalore, India in 1989. He obtained his Ph.D. from the Simon\nFraser University, Canada in 1994. He has worked on a project at\nthe Department of Computer Science and Engineering, Jadavpur University. Subsequently, he joined the National Institute of Management, Kolkata, and served as an\nassistant professor. He joined IIT Guwahati in December, 2004. His research interests\ninclude cryptography, network security, computer graphics, and multimedia.",institutionString:"Indian Institute of Technology",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"4",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"Indian Institute of Technology Guwahati",institutionURL:null,country:{name:"India"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"88",title:"Communications and Security",slug:"communications-and-security"}],chapters:[{id:"63531",title:"Introductory Chapter: Recent Advances in Cryptography and Network Security",doi:"10.5772/intechopen.81283",slug:"introductory-chapter-recent-advances-in-cryptography-and-network-security",totalDownloads:969,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:null,signatures:"Pinaki Mitra",downloadPdfUrl:"/chapter/pdf-download/63531",previewPdfUrl:"/chapter/pdf-preview/63531",authors:[{id:"89103",title:"Prof.",name:"Pinaki",surname:"Mitra",slug:"pinaki-mitra",fullName:"Pinaki Mitra"}],corrections:null},{id:"59809",title:"A New Approximation Method for Constant Weight Coding and Its Hardware Implementation",doi:"10.5772/intechopen.75041",slug:"a-new-approximation-method-for-constant-weight-coding-and-its-hardware-implementation",totalDownloads:825,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"In this chapter, a more memory-efficient method for encoding binary information into words of prescribed length and weight is presented. The solutions in existing work include complex float point arithmetic or extra memory overhead which make it demanding for resource-constrained computing platform. The solution we propose here solves the problems above yet achieves better coding efficiency. We also correct a crucial error in previous implementations of code-based cryptography by exploiting and tweaking the proposed encoder. For the time being, the design presented in this work is the most compact one for any code-based encryption schemes. We show, for instance, that our lightweight implementation of Niederreiter encrypting unit can encrypt approximately 1 million plaintexts per second on a Xilinx Virtex-6 FPGA, requiring 183 slices and 18 memory blocks.",signatures:"Jingwei Hu and Ray C.C. Cheung",downloadPdfUrl:"/chapter/pdf-download/59809",previewPdfUrl:"/chapter/pdf-preview/59809",authors:[{id:"232768",title:"Ph.D. Student",name:"Jingwei",surname:"Hu",slug:"jingwei-hu",fullName:"Jingwei Hu"},{id:"232887",title:"Dr.",name:"Ray",surname:"Cheung",slug:"ray-cheung",fullName:"Ray Cheung"}],corrections:null},{id:"60833",title:"Protocol for Multiple Black Hole Attack Avoidance in Mobile Ad Hoc Networks",doi:"10.5772/intechopen.73310",slug:"protocol-for-multiple-black-hole-attack-avoidance-in-mobile-ad-hoc-networks",totalDownloads:1314,totalCrossrefCites:3,totalDimensionsCites:3,hasAltmetrics:0,abstract:"Mobile ad hoc networks (MANETs) form a new wireless networking paradigm with unique characteristics that give them appreciated interest in a vast range of applications. However, many challenges are facing MANETs including security, routing, transmission range, and dynamically changing topology with high node mobility. Security is considered as the main obstacle for the widespread adoption of MANET applications. Black hole attack is a type of DoS attack that can disrupt the services of the network layer. It has the worst malicious impact on network performance as the number of malicious nodes increases. Several mechanisms and protocols have been proposed to detect and mitigate its effects using different strategies. However, many of these solutions impose more overhead and increase the average end-to-end delay. This chapter proposes an enhanced and modified protocol called “Enhanced RID-AODV,” based on a preceding mechanism: RID-AODV. The proposed enhancement is based on creating dynamic blacklists for each node in the network. Each node, according to criteria, depends on the number of mismatches of hash values of received packets as compared with some threshold values, and the sudden change in the round-trip time (RTT) can decide to add or remove other nodes to or from its blacklist. The threshold is a function of mobility (variable threshold) to cancel the effect of normal link failure. Enhanced RID-AODV was implemented in ns-2 simulator and compared with three previous solutions for mitigating multiple black hole attacks in terms of performance metrics. The results show an increase in throughput and packet delivery ratio and a decrease in end-to-end delay and overhead ratio.",signatures:"Rushdi A. 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In this paper, we investigate the current advances in the use of behavioral-based biometrics for user authentication. The application of behavioral-based biometric authentication basically contains three major modules, namely, data capture, feature extraction, and classifier. This application is focusing on extracting the behavioral features related to the user and using these features for authentication measure. The objective is to determine the classifier techniques that mostly are used for data analysis during authentication process. From the comparison, we anticipate to discover the gap for improving the performance of behavioral-based biometric authentication. 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Some mathematicians and philosophers of science say they are the gateway to mathematics’ deepest mysteries. Moreover, mathematical statistics denotes an accumulation of mathematical discussions connected with efforts to most efficiently collect and use numerical data subject to random or deterministic variations. Currently, the concept of probability and mathematical statistics has become one of the fundamental notions of modern science and the philosophy of nature. 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. 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1. Introduction
Microelectronics has become a powerful tool of electronic systems for biomedical applications. In recent years, integrated circuits are being fabricated with large densities and endowed with intelligence. The reliability of these systems has been increasing and the costs have been reducing. The interaction between medicine and technology, as it is the case of microelectronics and biosensor materials, allows the development of diagnosing devices capable of monitoring pathogens and diseases. The design of sensors, signal conditioners and processing units aim to place the whole system in the patient or, even more desirable, implanted, where it becomes a Lab-on-Chip and/or a Point-of-Care device (Colomer-Farrarons et al., 2009). Once an implanted device becomes part of a biological data acquisition system, it must meet important constraints, such as reduced size, low power consumption and the possibility of being powered by an RF link, thus operating as a passive RFID tag (Landt. J, 2005).
The low power restriction is extremely important to the patient safety in order to avoid local heating and consequently possible tissue damage. It also limits the power of RF transmitter that can, as well, induce dangerous electromagnetic fields – EMF (large current density in the body tissue surrounding the implant). The EMF risks can be extended to the implanted device itself such as malfunction (undesirable lack of action, erroneous action and hazardous action) and even, permanent damage.
The focus of this chapter is to discuss the implementation of a CMOS voltage reference and the boundary conditions, including the use of a low cost CMOS process (0.35 TSMC for instance), low-voltage low-power operation and simple circuit topology.
2. Typical implanted device as a smart biological sensor
A typical CMOS front-end architecture for an in-vivo Biomedical Implanted Device – BID is shown in Figure 1. The system consists, basically, of the sensitive biological element, the transducer or detector element and its associate electronics and signal processing, and the RF link to establish a communication with the external unit. The combination of the implanted device, the local wireless link and a communication network results in a Wireless Biosensor Network (WBSN) (Guennoun, et al., 2008).
Figure 1.
Typical Implanted Biomedical Device acting as a RFID Tag.
Linear systems based on semiconductor devices demand a stable power supply voltage for proper operation. Fluctuations on the input line voltage, load current and temperature variations may cause the circuit to deviate from its optimum operation bias point and even loose its linearity. Therefore, the power supply topology must assure minimum impacts on the linearity under those variations (Crepaldi et al., 2010). The impact of temperature variations in implantable devices is minimized once the body temperature is kept stable at approximately 37°C by an efficient biological feedback system (Mackowiak et al., 1992). Even in the presence of a disease or during a surgery proceeding, the body temperature suffers from just a few Celsius degrees variation.
As can be seen on Figure 1, a Voltage Regulator is part of the power conditioning unit. It is responsible to provide a stable voltage to the sensors/transducers and their associated electronics.
The classic topologies designed to provide stable power supply voltage are the linear and the switched voltage regulators. Switched regulators present a complex topology, mainly due to its control systems, and generally require more power consumption and larger silicon area than linear ones. Additionally they generate more noise at the regulated output due to its inerently switching operation (Rincon-Mora & Allen, 1998).
The low-dropout (LDO) voltage regulator is one of the most popular power converter used in power management and it is extremelly suitable for implanted systems. This kind of regulator requires a voltage reference circuit with a good Process-Voltage-Temperature (PVT) tolerance, generally achieved by Bandgap references. There are alternative circuits capable of obtaining low-voltage and high-accuracy, nevertheless some of those approaches may require components not readily available in CMOS technology and may require additional fabrications steps. Bandgap references based on weak inversion operation are a promising trend in biomedical applications (Roknsharifi et al., 2001; Magnelli et al., 2011). Since the reference is intended to be used in an implanted device, the temperature range is narrow and therefore it is not taken into account. The reference voltage Power Supply Rejection Ratio (PSRR) and process dependence are the main concerns.
3. Voltage reference
Figure 2 shows the voltage reference suitable for umplented devices. Transistors M1 and M2 form the composite structure (Ferreira & Pimenta, 2006). This kind of arragement represents the key feature for low-voltage operation, and along with low current operation (in the range of nA), the circuit provides low power operation. The voltage reference is obtained at M2 drain and it corresponds to its VDS voltage. The current ID is be fixed at tenths of nA in order to reduce the total power consumption, as stated. Also, it is desirable to have the power supply reduced to a minimum, respecting, however, the corner process.
Figure 2.
Voltage Reference Basic Topology.
If the MOS transistors are biased in the sub-threshold region, the drain current is given by equation (1). This current is based on the channel diffusion current referred to voltage source. It is a consensus formulation among EKV, ACM and BSIM3v3 models. IS is the weak inversion characteristic current, T is the absolute temperature, n is the slope factor in weak inversion (typically 1.3), k is the Boltzmann constant, (W/L) is the transitor geometric aspect ratio, VTH is the threshold voltage and q is the charge of the electron.
IDS=IS(WL)exp(VGS−VTHnkTq)[1−exp(−VDSkTq)]E1
(1)
Considering transistor M2 operating in the saturation region, equation (1) can be simplified for VDS values that are larger than the thermal equivalent voltage (kT/q). At body temperature, approximately 310K, (kT/q) can be set to 26.7mV, so for an 80mV at VDS (3 times larger) the (1-exp) term in equation (1) can be neglected and the drain current is expressed as:
IDS=IS(WL)exp(VGS−VTHnkTq);VDS≥3kTq≈80mV@T=310KE2
(2)
The current IS is the same for transistors M1 and M2 since it is a function of process parameters. VREF is obtained by considering that M1 and M2 drain currents (IDS) are also equal.
By inspection of Figure 2 it is possible to establish a relationship between the drain source voltage of M2 and the gate voltages of M1 and M2, given as:
VDS2=VGS2−VGS1E4
(4)
By substituting (4) into (3), VDS2 is given as:
VDS2=nkTqln[(WL)M1(WL)M2]−VTH1+VTH2E5
(5)
Transistor M2 has a nominal threshold voltage (VTH0) but M1 suffer from body effect and, consequently, its threshold voltage should be adjusted by:
VTH1=VTH0+γ(2ΦF+VSB−2ΦF)E6
(6)
where γ is the body factor coefficient and 2ΦF (≈600mV) is the Fermi potential. Notice that VSB (bulk-source potential) is equal to M2 drain source voltage or, in other words, it is equal to VREF. The following approximation (Burington, 1973). can be used, if (VREF)2 << (2ΦF)2.
The resulting equation for the reference voltage is:
VREF=kTqln[(WL)M1(WL)M2]E10
(10)
As can be observed, the reference voltage does not depend on MOS transistors threshold voltages and its value is adjusted by the geometric aspect ratio between the M1 and M2. The threshold voltage is largely affected by process variations (corners). For instance, in TSMC 0.35µm technology, the 3σ deviation from typical conditions can be as large as 20%.
Furthermore, the operation in the subthreshold region (or weak inversion) provides promotes an additional feature for the circuit, which is the low-voltage and low-power topology (Bero & Nyathi, 2006; Nomani et al., 2010; Ueno et al., 2006).
3.1. VREF range values
The minimum VREF value is determined by the approximation that leads to eq. (2). The maximum value is determined by the approximation that leads to eq. (7) and Table I shows the relative error at different values of VREF.
For this project, it is adopted 100mV for VREF. This value is larger than 3(kT/q) and represents an error of less than 0.5%, as stated in Table 1. Besides, it is an “exact” value to be used in the voltage regulator to obtain other reference values.
3.2. VREF temperature impact
Although the proposed circuit is intended to be used in a temperature controlled environment, a temperature analysis is performed, and it shows a linear behavior. Although it is an important result, the implanted biomedical system could use any calibration method to compensate the process corners deviations. The temperature behavior of VREF can be found from eq. (11) at the different temperatures T0 and T.
It can be inferred from eq. 11 that the drain-source voltage of M1 presents a PTAT (Proportional to Absolute Temperature) behavior. Fig. 3 shows the simulation of circuit from Fig. 1 over the 35°C to 42°C temperature range, for a 500mV power supply voltage. That temperature range corresponds to limits between surgical procedures (lowered body temperature) or any pathology (fever). The simulation includes the three corners; typical, slow and fast. Additional circuitry, as shown in Fig. 1 (Processing Unit), can be added to provide an analog to digital conversion, where the gain and offset errors can be minimized.
Figure 3.
Simulation of VREF voltage @ VDD=0.5V for a clinical temperature range including the fast and slow process corners.
Including this temperature impact, the voltage reference can be stated as having a nominal value of 100mV (typical) with a worst case dispersion of +4% (fast corner) and -1,8% (slow corner). The respective temperature coefficients are 0.35mV/°C (slow corner) and 0.45mV/°C (fast corner).
4. The voltage reference circuit implemented with composite transistors
Fig. 4 shows the circuit used to generate the current ID. Transistor M5 is biased by the voltage reference, which it is assumed to be constant, and its drain current (IREF) is mirrored by M3-M4. The overall circuit implementation is done by using composite transistors as depicted in Fig. 5. The current ID is fixed at approximately 15nA. As can be observed, there is a feedback loop M2-M5 that does improve the PSRR of the circuit, as it will be demonstrated by simulation. The use of composite transistors is fundamental to reduce the mismatch between the mirrored currents.
As it is the case of self-biased circuits, it is necessary a startup circuit. It is implemented through transistor MSTART, and capacitors CSTART1 and CSTART2. On power up, an impulsive current will flow and the circuit will be lead to the desired operation point condition. All the transistors aspect ratios are optimized by a set of interactive simulations aiming the target values ID=15nA and VREF=100mV, for the typical process parameters.
Transistor M6 is included in the feedback loop to improve the power supply rejection ratio (PSSR) at higher frequencies, as it acts a low pass filter.
Mostly transistors aspect ratios are also refined by interactive simulations. Transistor M2 aspect ratio is assumed to be 50/1 where the channel length of 1μm is adopted to be approximately 3 times the minimum size of 0.35 TSMC process to reduce the short channel effects.
Figure 4.
ID current generation by mirroring concept.
Figure 5.
Proposed Reference circuit.
5. Simulation results
This section presents a set of electrical simulations that validate the main concepts of the voltage reference.
5.1. Minimum power supply
As stated early, it is important to keep the whole system operating in the low power condition. Fig. 6 shows the simulation used to investigate the minimum power supply that maintains the circuit proper function. The temperature was kept constant at 37ºC. The three curves are result of typical, slow, and fast PMOS and NMOS parameters of 0.35 TSMC process.
As it can be observed, the supply voltage can be as low as 500mV. Table 2 lists the reference voltage values for some supply voltages and the relative deviation from the nominal (typical) value. The 500mV power supply indicates a worst case deviation of 1.69% at the process corners. This simulation shows an important result since it is in accordance with equation (10), thus indicating an independence of the voltage reference regarding the process corners. Additionally, the use of transistors operating in weak inversion allows power supply voltage reduction to values that characterize low voltage operation.
Figure 6.
Simulation to Evaluate the Minimum Power Supply Voltage.
VREF @ T=37ºC (mV)
VDD [V]
Slow
Typical
Fast
Deviation (worst case)
0.5
100.31
99.99
101.68
+1.69%
0.6
100.38
100.09
102.04
+1.95%
0.7
100.39
100.11
102.10
+1.99%
0.8
100.40
100.13
102.15
+2.01%
Table 2.
VREF as a Function of VDD for typical values and process corners.
5.2. Matching between IREF and ID
The PMOS composite pairs improve the matching between currents IREF and ID. The simulation results on Fig. 7 show the relative error (ER in %) between currents IREF and ID for the typical and corners process. At a 500mV supply voltage, the worst case is approximately 0.155%. The current matching between IREF and ID is achieved by the PMOS current mirror due to the higher impedance of the composite structure. This output impedance, for both PMOS pairs, can be stated as:
r(M3A)O=ngm(M3A)rO(M3A)rO(M3)E12
(12)
Another point of interest is the fact that the matching between the currents is significant (lower dispersion) from 500mV of power supply, confirming the use of this minimum value.
Figure 7.
Simulation to Evaluate Mismatch Between IREF and ID.
5.3. Geometric aspect ratio for transistors M1 and M2
Eq. (10) presents the geometric aspect ratios of transistors M1 and M2, (W/L)1 and (W/L)2, respectively. Therefore, it is possible to evaluate this ideal relationship to achieve the desired target value for the reference voltage. As mentioned previously, it was adopted the minimum channel length L as 1µm to minimize short channel effects.
Consequently it is also necessary to adopt a geometric aspect ratio of transistor M2. The (W/L)2 relationship must be large enough to maintain the ID current along all the process corners. A simulation of M2 shows that a 50/1 geometric aspect is enough. Therefore, a simulation process is used to investigate the ideal W/L relationship for M1. Fig. 8 shows the simulation of equation (10) considering the VREF as a function of geometric aspect ratios (W/L)1 and (W/L)2. Table 3 resumes the values for the 100mV target value.
Figure 8.
Simulation used to Evaluate the Geometric Aspect Ratio of Transistor M1
VREF=100mV@ T=37ºC and (W/L)M2=50/1
Slow
Typical
Fast
ln[(WL)M1(WL)M2]
3.6951
3.7069
3.6448
(WL)M1[μm]
2012.5
2036.4
1913.7
Equation (10) considering (kT/q)=26.73mV@T=37ºC
ln[(WL)M1(WL)M2]=3.7453 and (WL)M1=2107 [μm]
Table 3.
Simulated and Calculated Geometric Aspect Ratio for Transistor M1.
It was adopted, in this work, (W/L)1 =2036/1 as the typical value. Although there is a dispersion of about 9% between the calculated and simulated (W/L) values for the worst case corner (fast), the impact on the reference voltage is minimized by the logarithmic dependence.
5.4. Monte Carlo analysis
A set of 5000 runs were performed to evaluate the statistical parameters related to VREF. Figs. 9 and Fig. 10 show the simulation result for the reference voltage VREF and the total power dissipation PD. Table 4 presents the main values.
Figure 9.
Monte Carlo Analysis – VREF percentage samples.
Figure 10.
Monte Carlo Analysis – PD percentage samples.
VREF[mV]
PD [nW]
Mean
99.9
16.9
σ
0.503
14.6
3σ
1.512
43.9
Table 4.
Monte Carlo Analysis @ VDD=500mV and T=37°C.
Table 4 shows that the VREF can be expressed as 99.9±1.512mV (±1.5%) for a 3σ dispersion. This is an important result considering that the process inherently dispersion on Vt is approximately ±20% (3σ). A total power dissipation in the range of tenths of nW characterizes a low-power operation. The minus signal in the simulation results is due to the simulation algorithm.
5.5. Start-Up circuit
As it is the case of a self-polarized circuit, it is necessary a start-up approach to move the circuit operation to the desired condition. In other words, the start-up circuit must lead the main circuit to the desired operating point. This is realized by introducing the additional components MSTART, CSTART1 and CSTART2. Fig. 11 shows the simulation of MSTART current and CSTART1 voltage as a response to a voltage ramp applied to VDD. As the current vanishes to zero, CSTART1 charges toward VDD and the power dissipated in MSTART tends to zero. The fast and small impulsive current IDS(MSTART) is sufficient to start the whole reference circuit.
Figure 11.
Current though MSTART and CSTART1 voltage.
Figure 12.
PSRR simulation with and without transistor M6.
5.6. Power Supply Rejection Ratio (PSRR)
The voltage reference must exhibit a high PSRR, especially at high frequencies since the implanted device will be activated by a Radio Frequency link. The PMOS transistor placed between M2 and M5 acts as a low-pass filter. Fig. 12 shows the PSRR simulation. As it can be observed from the PSRR simulation presented in Fig 12, the PSRR can be 65dB in the MHz frequency range.
6. Layout
The proposed circuit was implemented in standard 0.35μm TSMC CMOS process through MOSIS educational program. Table 5 shows the aspect ratios of the all transistors. In this table the factor M represents a multiplier; i. e. the respective transistor is, actually, a parallel association. For instance, transistor M4A is a parallel association of 3 identical transistors with a geometric aspect ratio of 1000/2.
Transistor
W/L [μm]
M
M1
50/1
1
M2
2036/1
1
M3
150/2
1
M3A
1000/2
3
M4
150/2
1
M4A
1000/2
3
M5
2500/1
5
M6
2500/120
1
Table 5.
All Transistors Geometric Aspect Ratio.
The capacitors are poly-insulator-poly – PIP structures and the layouts of the NMOS and PMOS transistors were implemented using multifinger common centroid configuration. Besides better matching, this layout technique is less sensitive to process variation (Hastings, 2001; Qiang et al., 2011). The source-bulk connection of the PMOS transistors is possible since the TSMC is an n-well process, and therefore all the PMOS transistors are fabricated in different wells.
Mainly for the design of analog integrated circuits, the layout of two matched components is realized in such a way that they can be divided into identical sections, placed symmetrically in a matrix array.
The common centroid layout using matched components arranged in a matrix array, in identical and symmetrical sections, is essential to reduce or even eliminate the systematic mismatching. The distances between the centroids components are null and so are the mismatching caused by mechanical and temperature stress. For instance, in order to improve the differential pair match in operational amplifiers, these transistors are placed in a cross coupled array. Fig. 13 (a) shows two matched devices, each composed of two segments arranged in an array of two rows and two columns (cross-coupled pair). Resistors are rarely laid out as cross-coupled pairs because the resulting arrays usually have unwieldy aspect ratios. If the matched devices are large enough to segment into more than two pieces, then the cross-coupled pair can be further subdivided as show Fig. 13 (b).
Figure 13.
Examples of two dimensional common-centroid arrays.
It is recommended that matched components are fabricated near each other, minimizing the mechanical stress. The mechanical stress difference between two matched components is proportional to the abrasive gradient and their distance. For calculations purposes, the location of the component is determined as the average contribution of each section of the component. The resultant location is called centroid of the component. It is important that any symmetric axis crosses the centroid of the device or component
To design components with a centroid layout some rules must be observed:
Coincidence: The matched devices centroids must be superimposed or as close as possible;
Symmetry: The component matrix must be symmetrical along the X and Y axes. Ideally, the symmetry must be a consequence of the placement positions of the components and not for the symmetry of each component individually;
Dispersion: The matrix must exhibit the greatest dispersion level, i.e., each component must be placed with high symmetry along the matrix;
Compression: The matrix should be as compact as possible, ideally close to a square shape.
A better matching between integrated components reflects in the overall performance of the designed circuit or system. Depending on the matching accuracy, it is possible to consider the following cases:
Minimum: In the range of ± 1% (representing 6 to 7 bits of resolution). Used for general components in an analog circuit. For instance, current mirrors and biasing circuits;
Moderate: In the range of ± 0.1% (representing 9 to 10 bits of resolution). Used in bandgap references, operational amplifiers and input stage of voltage comparators. This range is the most appropriate for analog designs.
Severe: In the range of ± 0.01% (representing 13 to 14 bits of resolution). Used in high precision analog to digital converters (ADCs) and digital to analog converters (DACs). Analog designs using capacitors relations reach this resolution easier than those that use resistors relations.
In the case of a MOS transistor, the process and electrical parameters that have must be taken into account into matching purposes are listed in Table 6.
Process Parameters
Electrical Parameters
Flat band voltage
Drain current
Mobility
Gate-Source voltage
Substrate Dopant Concentration
Transconductance
Chanel length variation
Output resistance
Chanel width variation
Short channel effect
Narrow channel effect
Gate oxide thickness
Source/Drain sheet resistance
Table 6.
Process and Electrical Parameters for Component Matching.
7. Conclusions
This chapter presented a low-voltage low-power voltage reference for biomedical applications in which the operating temperature is kept almost constant. Besides a simple topology, the proposed circuit has the advantage of low power dissipation, thus avoiding patient tissue damages. The topology offers a low dependence on process corners and high PSRR. Simulation results point to a reference voltage of 100mV with ±1.5% dispersion (3σ) considering typical and corners parameters. The maximum total dissipated power is about 60.8nW (max) and the PSRR is better than 45dB for a frequency range between 1Hz and 100MHz.
Table 7 shows a comparison of this work with other previously reported in the literature.
This Work
(Lukaszewicz et.al, 2011)
(Li et al., 2007)
Technology
CMOS 0.35µm
CMOS 65nm
CMOS 0.5µm
VDD [V]
0.5
2.6 – 3.63
4 - 6
ID [µA]
0.12
47
-
VREF [mV]
100
-
-
IREF [µA]
-
6.45
1.612
Area [mm2]
0.43
-
0.026
PSRR [dB]
65@10MHz
103@10MHz
45
Process Sensitivity [%]
±1.5
±3
±5.2
Table 7.
Comparison with previous work.
\n',keywords:null,chapterPDFUrl:"https://cdn.intechopen.com/pdfs/38771.pdf",chapterXML:"https://mts.intechopen.com/source/xml/38771.xml",downloadPdfUrl:"/chapter/pdf-download/38771",previewPdfUrl:"/chapter/pdf-preview/38771",totalDownloads:3463,totalViews:105,totalCrossrefCites:0,totalDimensionsCites:0,totalAltmetricsMentions:0,impactScore:0,impactScorePercentile:16,impactScoreQuartile:1,hasAltmetrics:0,dateSubmitted:"December 5th 2011",dateReviewed:"March 2nd 2012",datePrePublished:null,datePublished:"September 6th 2012",dateFinished:"September 4th 2012",readingETA:"0",abstract:null,reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/38771",risUrl:"/chapter/ris/38771",book:{id:"2215",slug:"biomedical-engineering-technical-applications-in-medicine"},signatures:"Paulo Cesar Crepaldi, Tales Cleber Pimenta, Robson Luiz Moreno and Leonardo Breseghello Zoccal",authors:[{id:"28692",title:"Prof.",name:"Tales",middleName:null,surname:"Pimenta",fullName:"Tales Pimenta",slug:"tales-pimenta",email:"tales@unifei.edu.br",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/28692/images/6480_n.jpg",institution:null},{id:"38288",title:"Prof.",name:"Paulo",middleName:"Cesar",surname:"Crepaldi",fullName:"Paulo Crepaldi",slug:"paulo-crepaldi",email:"crepaldi@unifei.edu.br",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/38288/images/6479_n.jpg",institution:{name:"Federal University of Itajubá",institutionURL:null,country:{name:"Brazil"}}},{id:"38289",title:"Prof.",name:"Robson",middleName:"Luiz",surname:"Moreno",fullName:"Robson Moreno",slug:"robson-moreno",email:"moreno@unifei.edu.br",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Federal University of Itajubá",institutionURL:null,country:{name:"Brazil"}}},{id:"77855",title:"Prof.",name:"Leonardo",middleName:null,surname:"Zoccal",fullName:"Leonardo Zoccal",slug:"leonardo-zoccal",email:"lbzoccal@unifei.edu.br",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Federal University of Itajubá",institutionURL:null,country:{name:"Brazil"}}}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Typical implanted device as a smart biological sensor",level:"1"},{id:"sec_3",title:"3. Voltage reference",level:"1"},{id:"sec_3_2",title:"3.1. VREF range values",level:"2"},{id:"sec_4_2",title:"3.2. VREF temperature impact",level:"2"},{id:"sec_6",title:"4. The voltage reference circuit implemented with composite transistors",level:"1"},{id:"sec_7",title:"5. Simulation results",level:"1"},{id:"sec_7_2",title:"5.1. Minimum power supply",level:"2"},{id:"sec_8_2",title:"5.2. Matching between IREF and ID",level:"2"},{id:"sec_9_2",title:"5.3. Geometric aspect ratio for transistors M1 and M2",level:"2"},{id:"sec_10_2",title:"5.4. Monte Carlo analysis",level:"2"},{id:"sec_11_2",title:"5.5. Start-Up circuit",level:"2"},{id:"sec_12_2",title:"5.6. Power Supply Rejection Ratio (PSRR)",level:"2"},{id:"sec_14",title:"6. Layout",level:"1"},{id:"sec_15",title:"7. Conclusions",level:"1"}],chapterReferences:[{id:"B1",body:'BeroB.NyathiJ.\n\t\t\t\t\t2006 Bulk CMOS Device Optimization for High-Speed and Ultra-Low Power Operations. 49th IEEE International Midwest Symposium on Circuits and Systems, 2006. MWSCAS’06. 6-9 Aug. 2006, 221225 .'},{id:"B2",body:'BuringtonR. S.\n\t\t\t\t\t1973 Handbook of Mathematical Tables and Formulas. McGraw-Hill Book Company, 5th Edition, 1973.'},{id:"B3",body:'Colomer-FarraronsJ.Miribel-CatalaP.RodriguezI.SamitierJ.\n\t\t\t\t\t2009 CMOS front-end architecture for In-Vivo biomedical implantable devices. Industrial Electronics, 2009. IECON’09. 35th Annual Conference of IEEE Publication, 3-5 Nov, 2009, 44014408 .'},{id:"B4",body:'CrepaldiP. C.PimentaT. C.MorenoR. L.RodriguezE. C.\n\t\t\t\t\t2010 A Linear Voltage Regulator for an Implanted Device Monitoring System. Analog Integrated Circuits and Signal Processing, 65\n\t\t\t\t\t1 March 2010, 131140 .\n\t\t\t'},{id:"B5",body:'FerreiraL. H. C.PimentaT. 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1. Introduction
The process of deposition of oxide layer on the surface of metals is called corrosion. It usually occurs when metal is exposed to moisture or water and gases such as dioxygen, dihydrogen, dichloride, hydrogen sulfide. It is a spontaneous chemical reaction with a slow rate. It usually occurs over days or weeks, and as a result of corrosion, the refined metal is turned into a more stable form such as oxide, hydroxide, or sulfide. The net worth of the corrosion prevention industry was estimated to be around $2.5 trillion (USD) in 2018 and is expected to cross $3.0 trillion (USD) by 2022, as per the National Association of Corrosion Engineers [1, 2]. The electrochemical phenomenon of degradation of material over course of time due to exposure toward the environment is called corrosion. Common types of corrosion for rusting of steel and internal polymeric pipeline are wet corrosion and dry corrosion [3]. In today’s world, corrosion is no longer merely a chemical degradation of metals, but also of semiconductive materials, insulating materials, and polymeric materials after exposure to the environment. It is a surface phenomenon, where at the material surface formed oxide or hydroxide or sulfide layer [4].
Mild steel is a low-priced material with properties that are suitable for most general engineering applications. That’s why it is high in demand, but it contains very poor corrosion resistance. Corrosion produces very harmful effects on commercial industries such as paper mills, oil, and gas construction, and electronics used in a multitude of processes. When materials and structures are attacked by corrosion, they lose many of their useful properties. Some useful tools and machinery made from metal can become useless because of corrosion, many disaster situations such as chemical plant leaks, bridges can collapse and oil or gas pipelines can break and can produce a dangerous effect on the life of human beings. They also produce economical losses. Acid pickling is used for removing the impurities, scale, and sludge deposits on the metal surface. Acid pickling contains strong acid due to this, that process may cause a great economic loss. In the presence of inhibitors, the rate of acidic attack decreases on the metallic surface and it prevents metallic corrosion [5]. Decades of years many organic inhibitors, for example, phosphate esters, quaternary ammonium salts, amidoethyl imidazolines, as well as an inorganic inhibitor, for example, sulfate of Mg, Mn, Ni, and Zn are being used. Corrosion of steel has been inhibited by them. These types of inhibitors are generally costly and toxic and they might be harmful to the living organisms that is why the study of eco-friendly and non-toxic green inhibitors is important to prevent steel from corrosion nowadays. Natural corrosion inhibitors are biodegradable, non-toxic eco-friendly, and low cost. Phytochemical substances obtained from plants that reduce corrosion reaction rates are termed inhibitors. The plant extract is organic in its nature, and it contains secondary-metabolized compounds such as alkaloids, amino acids, pigment, and flavonoids etc behave like inhibitors.
These types of natural products contain N, O, S, and multiple bonds so that their lone pair electrons or pi-electrons are adsorbed on the metal surface and form a protective layer to prevent metal from corrosion.
The experimental outcomes come from weight-loss study and electrochemical impedance spectroscopy studies and to support a better understanding of the adsorption of phytochemicals, computational studies were needed to operate. The quantum chemical calculations have been performed as a part of computational studies. It is well known that plant extract contains more than one phytochemical constituent. In this computational evaluation, we chose the phytochemicals present in the plant extract. The selected molecules or phytochemicals have been operated using density functional theory (DFT) using Gaussian 09 program. To decide the intensity and interaction properties of phytochemicals molecules on the metal surface Fe (110), Monte Carlo (MC), and molecular dynamics (MD) have been carried out.
2. Corrosion
Corrosion is a surface process where the oxide layer is formed on the surface of the metal. There is various types of corrosion such as oxidation corrosion, corrosion by other gases such as Cl2, SO2, H2S, NOx, liquid metal corrosion, differential metal corrosion, differential aeration corrosion, crevice corrosion, and pitting corrosion. If we discuss pitting corrosion as an example, it is due to the formation of small holes or pits on the metal surface. Pitting corrosion is highly destructive as pits are very small to be observed and usually covered with corrosion products. The pitting corrosion is the result of depassivation of a small area on the metal surface, which acts as an anode, while the rest of the undefined and large surface acts as a cathode. It is preceded by a spontaneous galvanic reaction with very limited diffusion of ions (Figure 1) [6].
Figure 1.
Corrosion in water pipeline.
2.1 Electrochemical aspects of corrosion
Most of the metals that we humans commonly use are unstable in the atmosphere as they were obtained from respective ores by artificial reduction through a chemical process. Thus, such metals undergo a reaction very easily to get converted into a stable form. The chemical reactions that do not require any external medium or reagent like energy or catalyst to proceed but occur on their own are called as spontaneous reactions. For spontaneous reactions, the formed products are more stable than reactants. The value for change in Gibb’s free energy is always negative, and change in enthalpy is also negative, while the change in entropy is positive for such reactions.
The reactions in which oxidation and reduction both occur simultaneously are called as redox reactions. Corrosion also involves a redox reaction in which one specie or metal or part of the metal is oxidized and it acts as an anode, while the other specie or metal or part of the metal is reduced and acts as a cathode. At anode loss of electrons takes place and loss of mass occurs, while at cathode gain of electron takes place and deposition of corrosion products occurs.
The most primitive corrosion is where anodic oxidation reactions involve a pure iron when it is exposed to a strong acid such as hydrochloric acid. The reaction occurs with the formation of bubble violently. It is given as follows:
Fe+2H++Cl2−→Fe+2+Cl2−+H2↑E1
Fe+2HCl→FeCl2+H2↑E2
Another example is the exposure of iron toward moisture or water (Figure 2).
Figure 2.
Anode and cathode formation.
Fe→Fe2++2e−E3
O2+H2O+4e−→4OH−E4
Fe2++2OH−→FeOH2E5
Fe3++3OH−→FeOH3E6
Some other reactions involve in the formation of anode and cathode that leads to corrosion are given below.
Examples of anode reactions:
Zns→Zn+2aq+2eE7
Als→Al+3aq+3eE8
Fe+2s→Fe+3aq+eE9
An examples of cathode reaction:
H+aq+e→1/2H2gE10
Corrosion reactions are often electrochemical in nature. The reaction is time-consuming and may take few weeks to months to occur, it is a time and temperature-dependent reaction.
If corrosion reactions occur in aqueous media, then they are similar to that of Leclanche cell. As shown in Figure 3, a zinc container act as an anode, it gets oxidized. Graphite rod coated with carbon and MnO2 paste acts as a cathode, it gets reduced, whereas both anode and cathode are joined by means of NH4Cl and ZnCl2 paste that serves the role of electrolyte. The greater the flow of electrons, the greater is the corrosion of the zinc electrode [7, 8].
Figure 3.
Dry cell components.
2.2 Local cell formations
2.2.1 Dissimilar electrode cells
When two dissimilar metals come in direct contact with each other and an electrolytic substance is present between them, then dissimilar electrode cells are formed. It is basically a Galvanic cell, for example, we have a Daniel cell in which zinc and copper are in contact. In daily life, a copper pipe connected to a steel pipe provides an example of this type of corrosion cell. This cell is also referred to as galvanic coupling cell, the less noble metal becomes the anode whereas others act as a cathode (Figure 4).
Figure 4.
Daniel cell.
2.2.2 Concentration cells
When two similar electrodes dipped in solutions of different compositions come in contact, then concentration cells are formed. The electrode dipped in dilute solution acts as an anode, while the electrode that is in contact with concentrated solution acts as a cathode (Figure 5).
Figure 5.
Concentrated cell.
2.2.3 Differential aeration cells
When two similar electrodes exposed to different aeration conditions come in contact with one another, then differential aeration cells are formed. The electrode exposed to lesser aeration conditions will act as an anode, while the electrode exposed to higher aeration conditions will act as a cathode. This type of corrosion is very common and is responsible for the significant economic loss (Figure 6) [9, 10].
Figure 6.
Differential aeration cell.
3. Natural corrosion inhibitors
Natural corrosion inhibitors reduced or controlled the rate of corrosion by the addition of a natural product in cleaning or pickling solution. It reduces the rate of corrosion either by inhibiting oxidation at the anode or inhibiting reduction at the cathode, or both. It forms a protective layer at the metal surface, either by physical (means electrostatic attraction between natural product and metal surface) adsorption or chemisorption (means coordination bonds between natural product and metal surface).
Studies of natural corrosion inhibitors are one of the methods for protecting metal from corrosion. So here I am discussing a specific plant C. microphyllus as a natural corrosion inhibitor.
3.1 Experimental studies
3.1.1 Preparation of materials
The C. microphyllus is a hairy herb from the Convolvuaceae family, which is also known as Shankhpushpi and wind weed. The leaves are linear to oblong, small, and subsessile. About 1–3 flowers are produced, which are stalked. It is easily available all over the world. C. microphyllus contains alkaloids kaempferol, and p-hydroxycinnamic acid as its main phytochemical constituent [11, 12]. Figure 7 shows the image of C. microphyllus aerial parts and its main phytochemicals.
Figure 7.
(a) C. microphyllus and their main chemical components, (b) Kaempferol, and (c) p-hydroxycinnamic acid.
The soxhlet apparatus is used for plant extraction. Fresh C. microphyllus aerial parts were collected from our surrounding and then put them in a shaded area for few days, and after drying them properly, they were grinded to convert into powder material. Now, the powder was packed in a soxhlet apparatus and refluxed for 72 hours; then, the diluted extract was collected in the round bottom flask and transformed into a gel like extract by distillation. In the next step, the gel extract is kept in the desiccators packed with silica for few days so that the extract converts into solid extract without moisture. After that, it is preserved in other desiccators for experimental studies.
In this work, for weight loss measurement and electrochemical impedance studies a piece of 1 cm2 dimension is taken as a sample. These samples were mechanically polished with emery paper of different grades and subsequently cleaned with acetone, once again clean distilled water before inserting them into the pickling or cleaning solution. Here for study of C. microphyllus diluted solution of conc. H2SO4 having a molarity of 0.5 is used as a corrosive medium (Figures 8 and 9).
Figure 8.
Soxhlet apparatus.
Figure 9.
Desiccators.
3.1.2 Weight loss studies
The best method for this measurement is the ASTM standard G 31–72 [13]. In this method, all measurements are carried out at room temperature in the thermostat. Here minimum three times repeating the same measurement for the average value. The weight loss values, surface coverage (θ), inhibition efficiency (η%), and corrosion rate (CR) are shown in Table 1 at different concentrations of C. microphyllus extract for mild steel. At different concentrations of C. microphyllus extract, the value of weight loss, surface coverage (θ), inhibition efficiency (η%), and corrosion rate (CR) for mild steel were calculated by equations that are as follows:
Inhibitor concentration (mg/L)
CR (mmy−1)
Efficiency (IE %)
Surface coverage Θ
0
11.33 ± 0.12
—
—
100
3.67 ± 0.17
67.55
0.6755
200
3.08 ± 0.28
72.74
0.7274
300
2.42 ± 0.37
78.59
0.7859
400
1.89 ± 0.21
83.27
0.8327
500
1.55 ± 0.31
86.31
0.8631
600
1.35 ± 0.13
88.08
0.8808
Table 1.
Corrosion rate and efficiency of mild steel in 0.5 M H2SO4 absence and presence of C. microphyllus for 24 hours at room temperature.
CR=K×WA×t×ρE11
IE%=CR−0CRiCR0×100E12
θ=CR−0CRiCR0E13
where,
CR = corrosion rate (mmy−1)
W = weight loss of iron alloy (g)
K = 8.76 × 104 (constant)
ρ = 7.86 g cm−3 (density of Fe)
t = immersion time (h)
A = area of the iron alloy coupon
θ shows surface coverage values.
CRi shows the corrosion rate with inhibitor.
CR0shows the corrosion rate of the iron alloy without the inhibitor.
From the above data, it is clear that the concentration of C. microphyllus extract is inversely proportional to the rate of corrosion, which is used as an inhibitor. Adsorption of active phytochemicals of C. microphyllus extract occurs on the surface of mild steel, which reduces the surface area available for corrosion that is why the rate of corrosion decreases. The highest inhibition efficiency 88.08% is obtained at 600 mg/L.
3.1.3 Electrochemical measurements
An electrochemical workstation is used for the electrochemical measurement. The workstation is made up of three electrodes: (a) the working electrode of metal which works like anode (b) saturated calomal electrode as the reference electrode work like cathode, and (c) platinum electrode as the counter electrode for collect current. In this measurement, metal or alloy was immersed in cleaning or pickling solutions and different concentrations of C. microphyllus aerial part extract were added immersed for a specific time. At room temperature, the values of the open circuit potential (OCP) were noted with respect to the reference electrode. The scanning frequency from 100 kHz to 0.01 Hz is used for recording the Nyquist plot. A 5 mV signal amplitude perturbation at OCP was considered in EIS measurement. The authentic values were taken after three-time repeat measurement.
In Figure 10 shown Nyquist plot explained that 600 mg/L C. microphyllus extract provided larger radius semicircles. The diameter of the capacitive loop was enlarged by increasing C. microphyllus extract concentration, highest at 600 mg/L explaining also the highest inhibition effect. The radiuses of the semicircles in the case of using the C. microphyllus extract were larger than the blank. Because of same shapes of semicircles, it means the mechanism is not change. Calculated EIS results from the following equation provided the percentage inhibition efficiency of bio-inhibitor in the electrolytes [14]:
Figure 10.
Nyquist plot of mild steel in 0.5 M H2SO4 solution in the absence and presence of C. microphyllus extract.
IE%=Rct−Rct0Rct×100E14
where, Rct and Rct0 represent the charge transfer resistance in inhibitor and blank, respectively [15].
From Table 2, it is clear that maximum inhibition efficiency of 89.87% was obtained at 600 mg/L of C. microphyllus extract, where the highest Rct value was 155.13 [15]. In Table 3, value of the double-layer capacitor (Cdl) gradually decreasing means protective layer gradually form at the metal surface [16].
Concentration of inhibitor (mg/L)
Rct (Ω cm2)
fmax (Hz)
Rs (Ω cm2)
Cdl (μF cm−2)
N
Efficiency (IE %)
Θ
0
15.71
37.60
1.22
269.49
0.57
—
—
100
49.98
12.88
0.65
247.43
0.67
68.56
0.6856
200
72.58
9.46
1.63
232.19
0.68
78.35
0.7835
300
76.40
9.46
2.26
220.21
0.73
79.43
0.7943
400
104.60
7.22
0.78
211.34
0.82
84.98
0.8498
500
117.09
6.64
1.18
205.05
0.88
86.58
0.8658
600
155.13
6.64
1.68
155.15
0.91
89.87
0.8987
Table 2.
EIS parameters of mild steel in 0.5 M H2SO4 without and at different concentrations of C. microphyllus at 298 K.
Adsorbate
EHOMO
ELUMO
ΔEL-H
A
I
χ
H
∆N
Hydroxycinnamic acid
−6.226
−1.996
4.230
1.996
6.226
4.111
2.115
0.1676
Kaempferol
−6.005
−2.000
4.005
2.000
6.005
4.002
2.002
0.2042
Table 3.
The HOMO and LUMO energies (eV), ELUMO-EHOMO energy gap (ΔEL-H), electron affinity (A), ionization potential (I), electronegativity (χ), hardness (η), and a fraction of electrons transferred (∆N) for extract compounds.
3.2 Computational studies
3.2.1 DFT optimization
For the evaluation of electronic features of C. microphyllus extract molecules (including hydroxylcinnamic acid and kaempferol shown in Figure 11), the structures were initially optimized by density functional theory (DFT) using Gaussian 09 program. Optimization was done via widely used functional of B3LYP, which was combined with 6-311G** basis function. By a combination of SCRF theory and PCM formula, these calculations were continued in the liquid phase. After optimization, the following properties were analyzed: graphics, energies, and gap of molecular orbitals of highest occupied and lowest unoccupied (HOMO, LUMO, EHOMO, ELUMO, and ELUMO-EHOMO = ΔEL-H) and partial charges [17].
Figure 11.
The B3LYP/6-311G** optimized geometry, HOMO, and LUMO of kaempferol and hydroxycinnamic acid compounds.
Electronic level calculations (i.e., DFT) were performed so as to obtain insights into the reactive sites of hydroxylcinnamic acid and kaempferol molecules. The optimized hydroxylcinnamic acid and kaempferol geometries resulted from chemical DFT calculations are plotted in Figure 11. For these energy-minimized geometries, the analysis of frontier orbitals was done as these orbitals play a crucial role in donor-acceptor interactions of inhibiting extract molecules. The HOMO and LUMO pictures of hydroxylcinnamic acid and kaempferol are provided in Figure 11. As displayed, the phenyl ring, carbonyl/hydroxyl O atoms, and ethylene bond of hydroxylcinnamic acid appeared in the role of HOMO implying their strong electron supplying affinity toward a potential electron acceptor, for instance metal atoms containing unoccupied orbitals. According to the LUMO plot, all carbon and oxygen atoms of hydroxylcinnamic acid contributed to LUMO distribution, which is a signification of their tendency for getting electrons provided by filled orbitals of metal atoms. In the case of the kaempferol compound, it is seen that the HOMO placed over the entire aromatic heterocyclic skeleton and on the other hand the carbon as well as oxygen atoms behaved as reactive LUMO locations. As a consequence, the kaempferol component is able to involve in electronic interactions (i.e., donor-acceptor) with the metal surface through the donation of electrons (lone pair in hydroxyl/carbonyl O and π electrons of heterocycles) and receiving of electrons from filled iron orbitals by its C and O atoms. The eigenvalues of HOMO/LUMO and the energetic gap of frontier orbitals were examined, and the quantitative results are tabulated in Table 3 for hydroxylcinnamic acid and kaempferol. From this table, it is evident that the kaempferol species have higher EHOMO and lower ELUMO in comparison with the other compound (i.e., hydroxylcinnamic acid). These results suggest the stronger electron donation and receiving capacity of kaempferol. In addition, the optimized kaempferol molecule owned a lower energetic gap (ΔEL-H), an observation reflecting better electron sharing and subsequent stronger corrosion inhibition manner of this compound of C. microphyllus extract. This trend of DFT calculated electronic parameters and simulated adsorption energies discloses the stronger kaempferol interactions and adsorption on the steel surface leading to its more effective corrosion prevention influence as compared with the inhibiting molecule of hydroxylcinnamic acid [18, 19].
The electrophilic/nucleophilic interactions of studied molecules are summarized in Figure 12. From the given pictures, it is obvious that the electrophilic nature of hydroxylcinnamic acid is graphically distributed on benzene ring and double bond of carbon atoms (with a rich source of π electrons) and heteroatom of O (owing lone pair electrons). These electrons could be donated to an appropriate acceptor of electrons like metal atoms that are composed of empty orbitals. Moreover, similar to LUMO distribution, almost all carbon atoms along with three O heteroatoms are the most reactive sites for nucleophilic behavior clarifying electron getting affinity of these atomic sites. Also, the electrophilic interactions of equilibrated kaempferol compound could likely happen via its electron-rich places including heterocycles and the oxygen atoms of surrounding oxygenated fragments. On the other side, the O and C atoms of the whole backbone could accept electrons when attacked by a nucleophile [20, 21].
Figure 12.
The simulated Fukui indices of kaempferol and hydroxycinnamic acid compounds.
3.2.2 Molecular simulations
The hydroxylcinnamic acid and kaempferol adsorption and their interactions with the substrate (i.e., steel) were examined applying molecular simulations. These atomic simulations include Monte Carlo (MC) and molecular dynamics (MD). For the representation of steel substrate in these simulations, the frequently applied iron surface Fe (110) was used. The thickness, vacuum region, and periodic replication of this surface were set as 1.5 nm, 4 nm, and (14 × 14), respectively. To examine the adsorption preference of extract components, which are output from DFT calculations, on the iron substrate the MC-based simulation was carried out by adsorption Locator module (Materials Studio software). The MC simulations convergency was controlled with a level of fine. The last cell with the lowest potential energy generated by MC was the starting simulation box of the next modeling, that is, MD. For performing this simulation in solution phase-like experiments, water molecules were also added to the MC-generated cell. Thereafter, an optimization of 20,000 steps and NVT MD simulation of 1 ns were successively performed via COMPASS force field and Forcite module. The time step and temperature of NVT were set as 1 fs and 298 K. The electrostatic interactions of hydroxyl cinnamic acid and kaempferol were modeled by the Ewald scheme along with their charges calculated by DFT. The interactions of van der Waals form were evaluated by the atom-based cutoff. All metal atoms of the substrate were kept fixed [22, 23].
3.2.3 Molecular simulation
Simulations at molecular scale namely MC and MD were conducted for the analysis of the ability of C. microphyllus extract molecules adsorption above the metal surface (Fe (110)). The equilibrated cells of hydroxyl cinnamic acid and kaempferol generated by MC-based molecular simulations are displayed in Figure 13. The depicted MC snapshots clearly demonstrate that the C. microphyllus extract species have the ability of approaching and adsorption to iron surfaces. It is observed from the presented top views that hydroxylcinnamic acid and kaempferol adsorption on the surface happened through preferred flat orientation. The aromatic backbones of these adsorbed C. microphyllus extract molecules aligned parallel relative to the outmost iron atoms. The adsorption of hydroxylcinnamic acid and kaempferol took place with energies of −96.65 and − 165.51 kcal/mol, respectively. The adsorption energies of hydroxyl cinnamic acid and kaempferol with negative values further declare their adsorption over the steel substrate. The molecular adsorption was more evaluated through conducting liquid-phase dynamics (MD) simulations. The resulting snapshots of such simulations for hydroxyl cinnamic acid and kaempferol compounds are depicted in Figure 13. The obtained side views of ultimate simulation snapshots indicate that the chosen C. microphyllus extract compounds equilibrated in the vicinity of the crystalline surface (i.e., Fe (110)) under the wet conditions of the interface. This observation points to the fact that hydroxyl cinnamic acid and kaempferol as organic constituents of the green extract could bind to the surface of iron even in the presence of water molecules. Such surface adsorption affinity was quantified by corresponding adsorption energy values. The energies related to hydroxyl cinnamic acid and kaempferol adsorption were estimated as −137.53 and −208.02 kcal/mol, respectively. The negative MD-calculated adsorption energies further reflect the adsorption propensity of extract components on the metallic adsorbent. In summary, the MC and MD snapshots together with predicted adsorption energies propose that the C. microphyllus extract compounds of hydroxyl cinnamic acid and kaempferol are capable of adsorbing on the steel substrate. The surface adsorption enables the organic extract molecules to form corrosion-preventing films over the surface, which is in support of experimental results [24, 25].
Figure 13.
The final snapshots of kaempferol and hydroxycinnamic acid compounds over Fe (110) surface obtained from MC and MD simulations.
4. Conclusion
This chapter covers the corrosion problem and due to corrosion worldwide loss. This chapter discusses the importance of mild steel and discusses corrosion as a spontaneous electrochemical process. This chapter also explains of formation of different type of cells, due to different types of conditions, then start electrochemical corrosion process at the anode. In this chapter, I have discussed new developments as an example of natural corrosion inhibitor C. microphyllus, here I have discussed preparing inhibitors and explain experimental methods such as weight loss and electrochemical study for calculating their corrosion inhibition efficiency. After that, I have discussed computational studies of their main phytochemicals with help of DFT, molecular simulations, and molecular simulation to understand their relative adsorption properties.
Conflict of interest
The authors declare no conflict of interest.
\n',keywords:"adsorption, spontaneous reaction, natural inhibitors, electrochemical study, computational study",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/78983.pdf",chapterXML:"https://mts.intechopen.com/source/xml/78983.xml",downloadPdfUrl:"/chapter/pdf-download/78983",previewPdfUrl:"/chapter/pdf-preview/78983",totalDownloads:122,totalViews:0,totalCrossrefCites:0,dateSubmitted:"February 15th 2021",dateReviewed:"September 17th 2021",datePrePublished:"October 16th 2021",datePublished:null,dateFinished:"October 15th 2021",readingETA:"0",abstract:"Worldwide, corrosion causes the value of the gross domestic product to decrease in industrialized countries by 4.26% and causes significant losses to industries including infrastructure. As a result, corrosion prevention and research related to it are extremely important. Some researchers are working to develop plant-based natural corrosion inhibitors, and experimental and computational studies are being conducted widely to prevent corrosion through cheap and environmental friendly coatings. A case study of Convolvulus microphyllus (C. microphyllus) extract was examined as eco-friendly for bio-corrosion inhibitor of mild steel in 0.5 M H2SO4 by using conventional weight loss, electrochemical polarization measurements, and electrochemical impedance spectroscopy (EIS) techniques. The compounds responsible for decreasing the rate of corrosion are kaempferol and phydroxycinnamic acid present in the extract. This inhibitor slows down the corrosion rate. Out of many observations, the best result 89.87% corrosion resistance efficiency was obtained at 600 mg/L of C. microphyllus as extract for mild steel in 0.5 M H2SO4 by applying electrochemical and weight loss measurements. The presence of a heteroatom in the main component of C. microphyllus as extract is believed to be an excellent inhibitor. Theoretical research revealed an entirely important report about comparative inhibition effect of different phytochemicals.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/78983",risUrl:"/chapter/ris/78983",signatures:"Dwarika Prasad",book:{id:"10669",type:"book",title:"Corrosion: Fundamentals and Protection Mechanisms",subtitle:null,fullTitle:"Corrosion: Fundamentals and Protection Mechanisms",slug:null,publishedDate:null,bookSignature:"Dr. Fahmina Zafar, Dr. Anujit Ghosal and Dr. Eram Sharmin",coverURL:"https://cdn.intechopen.com/books/images_new/10669.jpg",licenceType:"CC BY 3.0",editedByType:null,isbn:"978-1-83968-606-1",printIsbn:"978-1-83968-605-4",pdfIsbn:"978-1-83968-607-8",isAvailableForWebshopOrdering:!0,editors:[{id:"89672",title:"Dr.",name:"Fahmina",middleName:null,surname:"Zafar",slug:"fahmina-zafar",fullName:"Fahmina Zafar"}],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. Corrosion",level:"1"},{id:"sec_2_2",title:"2.1 Electrochemical aspects of corrosion",level:"2"},{id:"sec_3_2",title:"2.2 Local cell formations",level:"2"},{id:"sec_3_3",title:"2.2.1 Dissimilar electrode cells",level:"3"},{id:"sec_4_3",title:"2.2.2 Concentration cells",level:"3"},{id:"sec_5_3",title:"2.2.3 Differential aeration cells",level:"3"},{id:"sec_8",title:"3. Natural corrosion inhibitors",level:"1"},{id:"sec_8_2",title:"3.1 Experimental studies",level:"2"},{id:"sec_8_3",title:"3.1.1 Preparation of materials",level:"3"},{id:"sec_9_3",title:"Table 1.",level:"3"},{id:"sec_10_3",title:"Table 2.",level:"3"},{id:"sec_12_2",title:"3.2 Computational studies",level:"2"},{id:"sec_12_3",title:"3.2.1 DFT optimization",level:"3"},{id:"sec_13_3",title:"3.2.2 Molecular simulations",level:"3"},{id:"sec_14_3",title:"3.2.3 Molecular simulation",level:"3"},{id:"sec_17",title:"4. Conclusion",level:"1"},{id:"sec_21",title:"Conflict of interest",level:"1"}],chapterReferences:[{id:"B1",body:'Goyal M, Kumar S, Bahadur I, Verma C, Ebenso EE. Organic corrosion inhibitors for industrial cleaning of ferrous and non-ferrous metals in acidic solutions: A review. Journal of Molecular Liquids. 2018;256:565-573'},{id:"B2",body:'Verma C, Olasunkanmi LO, Ebenso EE, Quraishi MA. Substituents effect on corrosion inhibition performance of organic compounds in aggressive ionic solutions: A review. Journal of Molecular Liquids. 2018;251:100-118'},{id:"B3",body:'Marcus P. Corrosion Mechanisms in Theory and Practice. 3rd ed. Boca Raton, Florida: Taylor & Francis; 2011:2. DOI: 10.1201/b11020'},{id:"B4",body:'Scully JC. The Fundamentals of Corrosion. 2nd ed. USSR/Russia: International Nuclear Information System; 1978:2'},{id:"B5",body:'Haldhar R, Prasad D, Saxena A. Myristica fragrans extract as an eco-friendly corrosion inhibitor for mild steel in 0.5 M H2SO4. Journal of Environmental Chemical Engineering. 2018;6:2290-2301'},{id:"B6",body:'Fontana MG, Mitra MS. The Eight Forms of Corrosion & the Corrective Measures. India: CSIR-National Metallurgical Laboratory Jamshedpur; 1953:2-3'},{id:"B7",body:'Coleman J. Dry cell dynamics: The bobbin. Transactions of the Electrochemical Society. 1946;90:545'},{id:"B8",body:'Revie RW. Corrosion and Corrosion Control: An Introduction to Corrosion Science and Engineering. Hoboken New Jersey, United States: Wiley; 2008:4'},{id:"B9",body:'Sato N. Basics of Corrosion Chemistry, Green Corrosion Chemistry. Hoboken, New Jersey United States: Wiley; 2011:6. DOI: 10.1002/9783527641789'},{id:"B10",body:'Schweitzer PA. Fundamentals of Corrosion. Boca Raton, Florida: Taylor & Francis; 2009:6. DOI: 10.1201/9781420067712'},{id:"B11",body:'Wagner H, Schwarting G. Struktur der microphyllinsaure aus dem harz von, Convolvulus microphyllus. Phytochemistry. 1977;16:715-717'},{id:"B12",body:'Amin H, Sharma R, Vyas M, Prajapati PK, Dhiman K. Shankhapushpi (Convolvulus pluricaulis choise): Validation of the Ayurvedic therapeutic claims through contemporary studies. International Journal of Green Pharmacy. 2014;8:193-200'},{id:"B13",body:'Ji G, Anjum S, Sundaram S, Prakash R. Musa paradisica peel extract as green corrosion inhibitor for iron alloyin HCl solution. Corrosion Science. 2015;90:107-117'},{id:"B14",body:'El-Etre AY, Abdallah M, El-Tantawy ZE. Corrosion inhibition of some metals using Lawsonia extract. Corrosion Science. 2005;47:385-395'},{id:"B15",body:'Joseph OO, Fayomi OSI, Joseph OO, Adenigba OA. Effect of Lecaniodiscus cupaniodes extract in corrosion inhibition of normalized and annealed mild steels in 0.5 M HCl. Energy Procedia. 2017;119:845-851'},{id:"B16",body:'Haldhar R, Prasad D, Bhardwaj N. Extraction and experimental studies of Citrus aurantifolia as an economical and green corrosion inhibitor for iron alloy in acidic media. Journal of Adhesion Science and Technology. 2019;33:1169-1183'},{id:"B17",body:'Ramezanzadeh M, Bahlakeh G, Sanaei Z, Ramezanzadeh B. Corrosion inhibition of mild steel in 1 M HCl solution by ethanolic extract of eco-friendly Mangifera indica (mango) leaves: Electrochemical, molecular dynamics, Monte Carlo and ab initio study. Applied Surface Science. 2019;463:1058-1077'},{id:"B18",body:'Asadi N, Ramezanzadeh M, Bahlakeh G, Ramezanzadeh B. Utilizing Lemon Balm extract as an effective green corrosion inhibitor for mild steel in 1M HCl solution: A detailed experimental, molecular dynamics, Monte Carlo and quantum mechanics study. Journal of the Taiwan Institute of Chemical Engineers. 2019;95:252-272'},{id:"B19",body:'Alibakhshi E, Ramezanzadeh M, Bahlakeh G, Ramezanzadeh B, Mahdavian M, Motamedi M. Glycyrrhiza glabra leaves extract as a green corrosion inhibitor for mild steel in 1 M hydrochloric acid solution: Experimental, molecular dynamics, Monte Carlo and quantum mechanics study. Journal of Molecular Liquids. 2018;255:185-198'},{id:"B20",body:'Sanaei Z, Ramezanzadeh M, Bahlakeh G, Ramezanzadeh B. Use of Rosa canina fruit extract as a green corrosion inhibitor for mild steel in 1M HCl solution: A complementary experimental, molecular dynamics and quantum mechanics investigation. Journal of Industrial and Engineering Chemistry. 2019;69:18-31'},{id:"B21",body:'Ramezanzadeh M, Sanaei Z, Bahlakeh G, Ramezanzadeh B. Highly effective inhibition of mild steel corrosion in 3.5% NaCl solution by green Nettle leaves extract and synergistic effect of eco-friendly cerium nitrate additive: Experimental, MD simulation and QM investigations. Journal of Molecular Liquids. 2018;256:67-83'},{id:"B22",body:'Bahlakeh G, Ramezanzadeh B, Dehghani A, Ramezanzadeh M. Novel cost-effective and high-performance green inhibitor based on aqueous Peganum harmala seed extract for mild steel corrosion in HCl solution: Detailed experimental and electronic/atomic level computational explorations. Journal of Molecular Liquids. 2019;283:174-195'},{id:"B23",body:'Alibakhshi E, Ramezanzadeh M, Haddadi SA, Bahlakeh G, Ramezanzadeh B, Mahdavian M. Persian Liquorice extract as a highly efficient sustainable corrosion inhibitor for mild steel in sodium chloride solution. Journal of Cleaner Production. 2019;210:660-672'},{id:"B24",body:'Dehghani A, Bahlakeh G, Ramezanzadeh B, Ramezanzadeh M. Detailed macro−/micro-scale exploration of the excellent active corrosion inhibition of a novel environmentally friendly green inhibitor for carbon steel in acidic environments. Journal of the Taiwan Institute of Chemical Engineers. 2019;100:239-261'},{id:"B25",body:'Ramezanzadeh M, Bahlakeh G, Sanaei Z, Ramezanzadeh B. Studying the Urtica dioica leaves extract inhibition effect on the mild steel corrosion in 1 M HCl solution: Complementary experimental, ab initio quantum mechanics, Monte Carlo and molecular dynamics studies. Journal of Molecular Liquids. 2018;272:120-136'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Dwarika Prasad",address:"dwarika.maithani@gmail.com",affiliation:'
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Open Access publishing helps remove barriers and allows everyone to access valuable information, but article and book processing charges also exclude talented authors and editors who can’t afford to pay. The goal of our Women in Science program is to charge zero APCs, so none of our authors or editors have to pay for publication.
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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,numberOfPublishedBooks:32,editor:{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"}}},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. 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,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,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. Waisundara",profilePictureURL:"https://mts.intechopen.com/storage/users/194281/images/system/194281.jpg",biography:"Dr. Viduranga Waisundara obtained her Ph.D. in Food Science\nand Technology from the Department of Chemistry, National\nUniversity of Singapore, in 2010. She was a lecturer at Temasek Polytechnic, Singapore from July 2009 to March 2013.\nShe relocated to her motherland of Sri Lanka and spearheaded the Functional Food Product Development Project at the\nNational Institute of Fundamental Studies from April 2013 to\nOctober 2016. She was a senior lecturer on a temporary basis at the Department of\nFood Technology, Faculty of Technology, Rajarata University of Sri Lanka. She is\ncurrently Deputy Principal of the Australian College of Business and Technology –\nKandy Campus, Sri Lanka. 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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. 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She has more than fifteen years of teaching and research experience. She has published more than 550 scientific publications/communications, including 15 books, 50 book chapters, 100 original research papers, 380 research communications in national and international conferences, and 12 patents. She is a member of the editorial board of five journals and acts as a reviewer for several national and international journals. 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/38771",hash:"",query:{},params:{id:"38771"},fullPath:"/chapters/38771",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)}()