Engine specifications.
\\n\\n
Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
\\n"}]',published:!0,mainMedia:{caption:"Highly Cited",originalUrl:"/media/original/117"}},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 191 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 261 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
Note: Edited in March 2021
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In wind engineering, researchers investigate the effects of wind on natural and built environments and study the possible damage, inconvenience, or benefits that may result from wind or air flow. As a discipline, it draws on meteorology, fluid dynamics, mechanics, geographic information systems, and a number of specialist engineering disciplines, including aerodynamics and structural dynamics. Atmospheric boundary-layer (ABL) simulations at a relatively high resolution (spectral content and turbulence) are essential for accurate estimation of loading on structures and machines, as well as the extracted power from wind. The physics involved in the processes of ABL and the flow interaction are indispensable for the understanding of wind-induced loads. Several tools are available for wind engineering investigations that include: atmospheric models, wind tunnels, open-jet testing, and computational fluid dynamics (CFD). We solicit high quality original research or review papers focused on state-of-the-art techniques and methods employed in flow, aerodynamic, and aeroelastic measurements in wind engineering of civil infrastructure, vehicles, planes, wind turbines, etc. Potential topics include, but are not limited to: aeronautical wind tunnels, boundary layer wind tunnels, open-jet facilities, computational and/or theoretical methods for wind load assessment; aerodynamic forces on vehicles; wind forces and pressures on low-rise buildings, high-rise buildings, bridges, power transmission towers, solar energy harvesters, wind turbines; non-synoptic wind processes, tornadoes, down-burst, etc.; aeroelasticity and fluid-structure interaction; Reynolds number effects; atmospheric turbulence; and aerodynamic optimization for improved sustainability with resilience benefits.
",isbn:null,printIsbn:"979-953-307-X-X",pdfIsbn:null,doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"2ab447ea1b7777b0095823e888cce41c",bookSignature:"Prof. Aly-Mousaad Aly",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/9263.jpg",keywords:"aeronautical wind tunnels, boundary layer wind tunnels, cryogenic wind tunnels, force balance, bluff body, wind turbines, vehicles, cladding, peak pressures, drag, lift, hurricanes",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"April 17th 2019",dateEndSecondStepPublish:"September 18th 2019",dateEndThirdStepPublish:"November 17th 2019",dateEndFourthStepPublish:"February 5th 2020",dateEndFifthStepPublish:"April 5th 2020",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"3 years",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:5,editedByType:null,kuFlag:!1,biosketch:null,coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"207384",title:null,name:"Aly-Mousaad",middleName:null,surname:"Aly",slug:"aly-mousaad-aly",fullName:"Aly-Mousaad Aly",profilePictureURL:"https://mts.intechopen.com/storage/users/207384/images/system/207384.png",biography:"Dr. Aly-Mousaad Aly is an associate professor at Louisiana State University (LSU). His research aims at creating fundamental knowledge in wind engineering, dynamics, and control to build more resilient, economic, and recoverable infrastructure to enhance safety and reduce the huge cost of rebuilding after windstorms and earthquakes. He is the director of the LSU Windstorm Impact, Science, and Engineering (WISE) research and education program (wise.lsu.edu). His research enables advanced wind testing, which yields loads that mimic those at full scale. His research advanced the implementation of smart dampers in super-tall structures and a novel probabilistic theory that enables the analytical modeling of semi-active damping.",institutionString:"Louisiana State University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"0",institution:{name:"Louisiana State University",institutionURL:null,country:{name:"United States of America"}}}],coeditorOne:null,coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"11",title:"Engineering",slug:"engineering"}],chapters:null,productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},personalPublishingAssistant:{id:"297737",firstName:"Mateo",lastName:"Pulko",middleName:null,title:"Mr.",imageUrl:"https://mts.intechopen.com/storage/users/297737/images/8492_n.png",email:"mateo.p@intechopen.com",biography:"As an Author Service Manager my responsibilities include monitoring and facilitating all publishing activities for authors and editors. From chapter submission and review, to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. Whether that be identifying an exceptional author and proposing an editorship collaboration, or contacting researchers who would like the opportunity to work with IntechOpen, I establish and help manage author and editor acquisition and contact."}},relatedBooks:[{type:"book",id:"10198",title:"Response Surface Methodology in Engineering Science",subtitle:null,isOpenForSubmission:!1,hash:"1942bec30d40572f519327ca7a6d7aae",slug:"response-surface-methodology-in-engineering-science",bookSignature:"Palanikumar Kayaroganam",coverURL:"https://cdn.intechopen.com/books/images_new/10198.jpg",editedByType:"Edited by",editors:[{id:"321730",title:"Prof.",name:"Palanikumar",surname:"Kayaroganam",slug:"palanikumar-kayaroganam",fullName:"Palanikumar Kayaroganam"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1591",title:"Infrared Spectroscopy",subtitle:"Materials Science, Engineering and Technology",isOpenForSubmission:!1,hash:"99b4b7b71a8caeb693ed762b40b017f4",slug:"infrared-spectroscopy-materials-science-engineering-and-technology",bookSignature:"Theophile Theophanides",coverURL:"https://cdn.intechopen.com/books/images_new/1591.jpg",editedByType:"Edited by",editors:[{id:"37194",title:"Dr.",name:"Theophile",surname:"Theophanides",slug:"theophile-theophanides",fullName:"Theophile Theophanides"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3161",title:"Frontiers in Guided Wave Optics and Optoelectronics",subtitle:null,isOpenForSubmission:!1,hash:"deb44e9c99f82bbce1083abea743146c",slug:"frontiers-in-guided-wave-optics-and-optoelectronics",bookSignature:"Bishnu Pal",coverURL:"https://cdn.intechopen.com/books/images_new/3161.jpg",editedByType:"Edited by",editors:[{id:"4782",title:"Prof.",name:"Bishnu",surname:"Pal",slug:"bishnu-pal",fullName:"Bishnu Pal"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"3092",title:"Anopheles mosquitoes",subtitle:"New insights into malaria vectors",isOpenForSubmission:!1,hash:"c9e622485316d5e296288bf24d2b0d64",slug:"anopheles-mosquitoes-new-insights-into-malaria-vectors",bookSignature:"Sylvie Manguin",coverURL:"https://cdn.intechopen.com/books/images_new/3092.jpg",editedByType:"Edited by",editors:[{id:"50017",title:"Prof.",name:"Sylvie",surname:"Manguin",slug:"sylvie-manguin",fullName:"Sylvie Manguin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"371",title:"Abiotic Stress in Plants",subtitle:"Mechanisms and Adaptations",isOpenForSubmission:!1,hash:"588466f487e307619849d72389178a74",slug:"abiotic-stress-in-plants-mechanisms-and-adaptations",bookSignature:"Arun Shanker and B. Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"314",title:"Regenerative Medicine and Tissue Engineering",subtitle:"Cells and Biomaterials",isOpenForSubmission:!1,hash:"bb67e80e480c86bb8315458012d65686",slug:"regenerative-medicine-and-tissue-engineering-cells-and-biomaterials",bookSignature:"Daniel Eberli",coverURL:"https://cdn.intechopen.com/books/images_new/314.jpg",editedByType:"Edited by",editors:[{id:"6495",title:"Dr.",name:"Daniel",surname:"Eberli",slug:"daniel-eberli",fullName:"Daniel Eberli"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"57",title:"Physics and Applications of Graphene",subtitle:"Experiments",isOpenForSubmission:!1,hash:"0e6622a71cf4f02f45bfdd5691e1189a",slug:"physics-and-applications-of-graphene-experiments",bookSignature:"Sergey Mikhailov",coverURL:"https://cdn.intechopen.com/books/images_new/57.jpg",editedByType:"Edited by",editors:[{id:"16042",title:"Dr.",name:"Sergey",surname:"Mikhailov",slug:"sergey-mikhailov",fullName:"Sergey Mikhailov"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1373",title:"Ionic Liquids",subtitle:"Applications and Perspectives",isOpenForSubmission:!1,hash:"5e9ae5ae9167cde4b344e499a792c41c",slug:"ionic-liquids-applications-and-perspectives",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/1373.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"2270",title:"Fourier Transform",subtitle:"Materials Analysis",isOpenForSubmission:!1,hash:"5e094b066da527193e878e160b4772af",slug:"fourier-transform-materials-analysis",bookSignature:"Salih Mohammed Salih",coverURL:"https://cdn.intechopen.com/books/images_new/2270.jpg",editedByType:"Edited by",editors:[{id:"111691",title:"Dr.Ing.",name:"Salih",surname:"Salih",slug:"salih-salih",fullName:"Salih Salih"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"64732",title:"Compressed Bio Gas (CBG) in Diesel Engine",doi:"10.5772/intechopen.82206",slug:"compressed-bio-gas-cbg-in-diesel-engine",body:'\nThis chapter is intended to give an overview of the CBG-fueled diesel engine performance and emission characteristics. The optimum design parameters of the CBG-diesel dual-fueled engine were studied using CFD techniques and experimental work. Also the motivation for IC engine research is presented, and the combustion process for the SI and CI engine was shortly overviewed. In addition to that, new alternative combustion concepts for CI engines were discussed, and the research background and objective of the present work were presented. CBG fuel air mixture is compressed in a PPCI mode in achieving its simultaneous ignition by pilot diesel fuel inside the combustion chamber to get the best performance and emission results.
\nPart load, especially direct injection systems used to perform partially premixed charge, allows for optimized fuel consumption and a low level of emissions. During like this process, the engine has quite more homogeneous air fuel mixture and low in-cylinder temperature which caused lower NOx emissions. Also, the use of a pilot injection has become an effective way for reducing combustion noise.
\nIn PPCI, combustion concepts have been recently developed with the purpose to strive the problem of the high emission levels of conventional direct injection diesel engines. A good example is the PPCI combustion, a strategy in which early fuel injections are used, causing a burning process in which more air fuel is burned in premixed conditions, which affects combustion performance and exhaust emissions.
\nExperimental studies due to the extreme conditions inside a typical IC engine such as high combustion temperatures and pressures, precipitation of PM, other combustion products, etc. are sometimes limited in approaching exhaust emission problem. However, CFD software offers the opportunity to carry out and optimize repetitive parameter studies with clearly defined boundary conditions in order to investigate various configurations.
\nIn this book, effects of dual-fuel combustion characteristics were investigated on the combustion performance and the reduction of exhaust emissions for a CI engine fueled with CBG-diesel dual fuel. Different approaches for alternative diesel combustion systems are also investigated by CFD and optimization software. This combustion system is investigated in homogenous CBG fuel air mixture with early and late pilot diesel injection strategy.
\nThe intention of this investigation is to find out the effects of CBG-diesel dual-fuel combustion characteristics on the CI engine performance. The rate of heat release (ROHR) and other performance parameters were investigated in different modes of combustions. Moreover, combustion performance and indicated mean effective pressure (IMEP), exhaust gas temperature, and also the concentrations of PM, NOx, HC, CO, and CO2 exhaust emissions were also investigated under various engine operating conditions to compare the exhaust emission and engine performance of single-fuel and CBG-diesel fuel modes experimentally and numerically. Within this framework, the combustion processes and performance of a commercial four-cylinder, turbocharged compression ignition engine are analyzed and improved the exhaust emission values of the engine by proposing some modifications for advance mode of combustion system by using CFD and multi-objective optimization codes.
\nIn accordance with this purpose, first;
Overall thermodynamic cycle simulation for one cylinder,
In-cylinder fluid motion,
Including inlet, exhaust manifold and valves are analyzed in 3D.
Therefore,
To perform a detailed analysis in-cylinder cold flow,
Fuel spray atomization,
The combustion and emissions are investigated numerically and experimentally.
Second part of this work included optimization for an advance combustion mode needed for the following parameters:
Valve timing.
Compression ratio.
Pilot diesel fuel injection timing was optimized.
Lastly, selected cases which were optimized by CFD and multi-objective optimization code analyzed and compared with existing experimental single-fuel and CBG-diesel dual-fuel diesel engine combustion performance and exhaust emissions.
\nIn this project, methodology was designed to accomplish the objectives described in objective parameters.
\nThe first task was to carry out an overall and critical research of available literature in the dual-fuel diesel engine field. This review was done to fully understand the progress of dual-fuel combustion process in this particular field of research; also this is aided with the identification of issues/areas of further research.
\nThe survey considered published books, journals, and papers. It was broadened to consider information published on the Ohio State University database and on the Center for Automotive Research Laboratories.
\nFull geometry model: After the study of the commercial CFD software documentation, some applications were carried out to aid with the meshing of the geometry.
\nSimulation: A preliminary simulation in commercial CFD software was carried out in order to build confidence levels, since combustion of spray droplets involves complex models both of pilot diesel fuel and CBG fuel injectors. The main simulations were divided into four main configurations as follows:
Cold flow (no liquid fuel)
Air/liquid spray mixture
Combustion simulation using turbulence-controlled eddy breakup
Dual-fuel combustion simulation using non-premixed and partially premixed model
For each model, these five turbulence models were investigated (k-ε/high Reynolds, k-ε/RNG, k-ε/Chen, k-ε/Speziale/high Reynolds, and k-ε/Standart/High Reynolds models). The method adopted for this simulation generally follows the steps outlined in commercial CFD software studies.
\nThe analysis of the results was based on the post-processed data from all analyses carried out. In combustion modeling, two leading reactants CBG and diesel fuel are defined by using user-defined code. The predicted results by commercial CFD code were compared with each other. Detailed specifications of engine were summarized in Table 1. CBG fuel properties and operating conditions are given in Tables 2 and 3.
\nEngine parameters | \nValue | \n
---|---|
Type | \n4 Cylinder-four stroke | \n
Bore × stroke | \n76 × 80.5 mm | \n
Connecting rod length | \n131.2 mm | \n
Displacement | \n1461 cm3 | \n
Compression ratio | \n18.25:1 | \n
Max. lift (exhaust) | \n10.1 mm | \n
Max. lift (intake) | \n9.7 mm | \n
Operating speed | \n2000 rpm | \n
Maximum power | \n48 kW at 4000 rpm | \n
Maximum torque | \n160 Nm at 2000 rpm | \n
Engine specifications.
Properties | \nValue | \n
---|---|
Chemical formula | \nMixture | \n
CH4 | \n65–70% by volume | \n
CO2 | \n25–35% by volume | \n
H2 | \n1–2% by volume | \n
Self-ignition temperature | \n630–810°C | \n
Lower heating value | \n26 MJ/kg | \n
F/A ratio | \n0.058 | \n
Octane number | \n135 | \n
Density | \n0.79 kg/m3 | \n
Properties of CBG fuel.
RPM | \n2000 rev/min | \n
Test fuels | \nDiesel and CBG | \n
Single fuel | \nDiesel | \n
Dual fuel | \nDiesel + CBG | \n
Gas injection pressure | \n0.3 MPa | \n
Gas injection type | \nPort injection | \n
Injected gas mass | \n30 mg/cycle | \n
Pilot diesel injection pressure | \n13 MPa | \n
Start of injection | \n120, 18 0CA bTDC | \n
Operating conditions.
The engine that is modeled is a commercial four-cylinder 1.5 l light-duty diesel real engine. The geometrical specifications of the engine, as well as the engine’s original valve timings, are summarized before chapter. The computational grid is given in Figure 1. The mesh domain has about 700,000 elements at TDC. A finer grid could include the top-land crevice. In addition, a crevice model could be introduced in commercial CFD software, in order to simulate flow in the crevices and blow-by. Nevertheless, even though the low-temperature regions are not captured well, commercial CFD software can still provide reasonable predictions for the bulk temperature in the cylinder and the overall temperature and composition distributions.
\nExample of volume mesh.
In the CFD simulations before the experimental work, combustion chamber including intake and exhaust ports and valves was modeled in the development software. Mesh elements reached 1,700,000 at the BDC. In order to initialize the run, the pressure and the temperature in the cylinder at the start of the calculation were adjusted. Heat transfer and other physical models were selected according to real engine operating conditions. Complete combustion products were also defined using the user-defined code.
\nRecent researches show that it is possible to decrease the emissions considerably by modifying the geometrical sub-systems of the engine that affect the turbulence generation and spray formation. It is important to define the proper turbulence model in diesel CFD studies in terms of the exact representation of the combustion phenomenon. During these studies, a lot of turbulence models have also been analyzed to select the proper turbulence model for diesel combustion. In an attempt to improve the predictive ability of the standard k-ε models, a number of alternatives have been offered. Among them the RNG k-ε model [18, 19], anisotropic k-ε model of Speziale [15], Morel and Mansour version of the k-ε model [10], Chen’s k-ε model [3], and the k–ω model of Wilcox are well-known [17]. The RNG k-ε model turbulence has been used in order to predict the compressed turbulence in IC engines.
\nIn this investigation, combustion is modeled via a new combustion model (ECFM-3Z) developed at IFP and 1D thermodynamic model. Wiebe function for 1D approximation and ECFM for 3D CFD solution were used to carry out combustion modeling. ECFM-3Z is the member of the coherent flame model (CFM) family, and it is extended to nonhomogeneous turbulent premixed and unpremixed (diffusion) regions. In dual-fuel mode, extra definitions analyze the conventional diesel combustion and partially premixed compression ignition (PPCI) cases. In a diesel combustion, NOx formation is an important challenge instead of other emissions such as smoke which is gas and carbon mixtures. Conglomeration of carbon particles calls as PM, and dust airborne particles call as a particulate matter (PM). They are produced during incomplete combustion process. Real engine geometry was remodeled to find out dual-fuel flow structure inside the combustion chamber. In dual-fuel engine cases, air and CBG fuel mixture was ingested into the combustion chamber, and it was ignited with pilot diesel fuel at the end of compression stroke. First injector was located on the intake port as a main fuel CBG using cylindrical coordinate system as shown in Figure 2. Second injector for pilot diesel fuel was retained on the cylinder head. Injector hole diameter, cone angle, hole number, start of CBG fuel injection, and duration were entered on the CFD code.
\nCBG-fueled diesel engine mesh structure.
Because of the shifting of combustion event to earlier side, this causes the increase of negative operating conditions for a conventional diesel engine. These trends are regarded as typical problems of injection strategies and injection rates that lower the thermal efficiency and increase the incomplete combustion products such as the HC and CO emissions [6, 7, 8, 9, 11, 12, 13, 14, 16, 20].
\nThe effects of the engine load and dual-fuel combustion mode on the NOx emissions with different engine configurations were shown in Figure 3. NOx emissions showed a strong dependence on the type of combustion at constant injection timing. The peaks of the NOx emissions occurred on the single-fuel cases at the same operating conditions. When the CBG fuel was increased, the NOx formations reached undetectable levels. This is due to the prolonged the ignition delays and premixed fuel/air mixture. In the dual-fuel modes, lower NOx formations were obtained compared to that of the conventional cases. The modified dual-fuel combustion chamber parameters are listed in Table 4.
\n3D NOx emission contours for SF case3 at TDC in +Y direction.
Engine type | \nSingle-cylinder direct injection diesel engine | \n|
Engine speed | \n2000 RPM | \n|
Valves per cylinder | \n2 | \n|
Bore | \n86 mm | \n|
Stroke | \n76 mm | \n|
Injection system | \nCommon-rail | \n|
Number of nozzle holes | \n4 | \n|
Nozzle diameter | \n0.170 mm | \n|
Valve overlapping | \n39 CAD and 19 CAD | \n|
Compression ratio | \n17.6 | \n\n |
Start of injection | \n18 CAD bTDC | \n\n |
Specification of modified dual-fuel combustion chamber.
1D, 3D, and multi-objective optimization codes were employed for single-diesel fuel (dodecane) and dual-fuel (CBG-diesel) cases. Case1, case2, case3, case4, and case5 were investigated at 20, 40, 60, 80, and 100% engine loads, respectively for both single fuel and dual fuel. Soot emissions and combustion characteristics of engine can be seen in Figures 4 and 5. The combustion pressures and rates of heat release (ROHR) for the single-fuel mode with diesel fuel in a constant engine speed of 2000 (rev/min) were provided in Figure 6. The figures showed similar patterns for combustion pressure and ROHR at different engine loads. The combustion pressures and ROHRs increased for both fuels, since engine load increased at constant engine speed. At low engine load (20%), the peak pressure and also heat release were slightly lower than other cases as depicted in Figure 6a. The lower diesel fuel consumption (2.14 kg/h) resulted in the decrease on the combustion performance. In the 60% load, shown in Figure 6a, the pressure is Pmax = 8.4 MPa, and peak heat release was obtained compared to CBG-diesel case, Pmax = 8.3 MPa. Simultaneously, a greater indicated mean effective pressure (IMEP) was resulted for the conventional diesel-injected fuel mass reached 5.3 kg/h. In Figure 7, NOx and soot emissions are given in detail.
\nSoot emission contours for SF case3 at TDC.
Combustion characteristics at different engine loads. (a) Single-fuel (dodecane) cases and (b) dual-fuel (CBG-dodecane) cases.
Effect of fuel types on rate of heat release inside cylinder at 60% engine load.
NOx and soot emissions for single- and dual-fuel cases versus CA. (a) NOx emissions and (b) soot emissions.
In terms of the ignition delay, conventional diesel combustion has shorter time due to the air fuel mixture process. Ignition ability in a diesel engine is mainly relying on caffeine and physical fuel properties such as structure of fuel composition, density, bulk module, cetane number, oxygen content, and aromatic content of the fuel. Meanwhile, the oxygen amount of the air fuel mixture plays an important role in short ignition delays. Engine parameters such as SOI need to adjust for different operating conditions. Additionally, the diesel fuel used in the works has a long carbon chain, and it has important role for the short ignition delay. CO2, HC, and CO concentrations were shown in Figure 8a–c for single- and dual-fuel cases at various engine loads [5].
\nExhaust emissions for single- and dual-fuel cases with different engine loads. (a) Unburned HC; (b) CO; (c) CO2.
In final simulation, compression ratio of simulated engine was reduced from 18.25:1 to 17.6:1 by widened engine bore diameter to keep more heat inside the cylinder due to the lower heating value of CBG fuel. According to optimization results, larger and smaller valves overlapped engines more suitable for CBG-diesel dual-fuel combustion. Because of the surface to volume ratio effect on combustion temperature, heavy-duty dual-fueled CI engines have better results on combustion performance and unburned HC emissions than light-duty dual-fueled CI engines. Real engine geometry cases have low thermal efficiency due to the valve overlap characteristics of conventional diesel engines. Valve overlap process facilitates scavenging between the intake and exhaust valves. However, in dual-fuel combustion, valve overlapping caused an increase in unburned HC emissions due to leaving of unburned CBG-diesel air fuel mixture from cylinder. At the same time, low valve overlap for dual-fuel CI engine caused incomplete combustion inside the combustion chamber due to the insufficient scavenging process. Valve overlap values also were optimized in final CFD simulation. Because of compression ratio effects on temperature and pressure during the compression phase, the engine compression ratio has an influence on the autoignition phase of the combustion: a reduction prolongs the air/fuel mixing process before combustion. In optimization study, compression ratio was limited in 19:1 due to the knock phenomenon during the compression stroke of CBG-air mixture. Higher compression ratio resulted in lower power due to the autoignition of air fuel mixture. Different works [1, 2, 4] studied on experimental single-cylinder engines showed this significant advantage. Another optimization parameter is SOI for modified dual-fuel engine geometry. In dual fuel-modified engine geometry cases, SOI was reduced to about 18° CA bTDC by optimization study due to the late ignition delay of CBG-air fuel mixture. Single-fuel cases have low ignition delay compared to that of the CBG-diesel dual-fuel combustion as seen in ignition delay figure. In single-fuel cases, diesel fuel has higher cetane number, and this allowed faster combustion than dual-fuel engine cases. Optimized dual-fuel engine cases resulted in better combustion performance by changing SOI, compression ratio, modified engine size, and valve overlap values.
\nThe peaks of pressure and temperature values occurred in DF case6 and DF case7 cases which have lower valve overlap, 19° CA. Therefore, these two cases have indicated that the high temperature reaction (HTR) occurs at around 1200–1300 K. Calculated peak gas temperature for reduced valve overlap cases as shown in Figure 9a was 1790 K such as conventional single-fuel diesel combustion; also these cases have lower CO formation and slightly higher NOx formation but quite under acceptable emission standards.
\nEffects of valve timing on the dualfuel combustion performance. (a) In-cylinder calculated temperature; (b) In-cylinder calculated pressure; (c)NOx emissions; (d) CO emissions; (e) soot emissions; and (f) total fuel mass.
As the valve overlap reduced, the peaks of heat release in-cylinder pressure and temperature rapidly increased, and the initiating timings of the reaction were also fastened. In real engine geometry cases, the ignition delay was very long, and ignition had begun very late after pilot started at 12° bTDC. After SOI started at 18° bTDC and valve overlap reduced to 19° CA in optimization study, this led to significant development in engine performance and better combustion control during combustion for CBG-diesel dual-fuel cases. In addition to engine performance development, CO emissions were decreased to very low levels by means of exact combustion. NOx emissions resulted in higher DF case6 and DF case7 than other DF cases, but these NOx emission values are very low in regard to international emission standards. Similarly, PM emissions resulted in better optimized DF case6 and DF case7 than other DF cases and kept in a reduction trend. Furthermore, it can be said that CBG fuel was burned effectively in regard to other cases (Figure 9f) especially for DF case7 which has 19o CA valve overlap value. Besides valve overlap value, optimization results showed that larger CI engines which have big surface to volume ratio have better combustion performance according to light-duty CI engines. It can be concluded that CBG-diesel dual-fuel process with these optimization parameters is more proper for heavy-duty CI engines (Figure 10).
\nEffect of single and dual fuel combustion mode on the ignition delay.
In this chapter, the engine performance and emission results were studied and compared for the conventional diesel and CBG-diesel dual-fuel operations. CBG and diesel fuels were defined as leading reactants by writing user-defined code. In this work, conventional diesel combustion and dual-fuel pilot diesel combustion were examined. Obtained differences in the results between SF and DF are the result of fuel mixture ratios in the calculation, and this affects the efficiency of the engine. Combustion time is calculated by the software according to chemical compounds and gradients. Fuel ratio can be seen in Table 5. International emission standards were taken into consideration in the studies for the wide automotive market, and further studies can be evaluated the next regulations. Although CO2 is an inert gas in the mixture of air fuel, it is expected that CO2 ratio affects the emissions. However this is due to the mixture of biogas formation. Higher cetane number of diesel and the faster injection timing shortened the ignition delay, and this reduction is related to a decrease in fuel-rich zone throughout the combustion process.
\nCase # | \nCBG rate (kg/h) | \nDiesel fuel (kg/h) | \nEngine load (%) | \nSOI CA | \n
---|---|---|---|---|
SF case1 | \n— | \n2.12 | \n20 | \n−12 | \n
SF case2 | \n— | \n3.13 | \n40 | \n−12 | \n
SF case3 | \n— | \n5.22 | \n60 | \n−12 | \n
SF case4 | \n— | \n8.54 | \n80 | \n−12 | \n
SF case5 | \n— | \n11.44 | \n100 | \n−12 | \n
DF case1 | \n2.27 | \n1.62 | \n20 | \n−12 | \n
DF case2 | \n2.33 | \n2.63 | \n40 | \n−12 | \n
DF case3 | \n2.61 | \n4.37 | \n60 | \n−12 | \n
DF case4 | \n2.76 | \n6.48 | \n80 | \n−12 | \n
DF case5 | \n3.25 | \n7.88 | \n100 | \n−12 | \n
Case studies.
Due to the volumetric efficiency, in the dual-fuel case concentrations, CO emissions were considerably higher than others under all test conditions. In the dual-fuel cases, CBG gas fuel is replaced by air which causes more CO emissions. The concentrations of CO2 emissions for dual-fuel cases are obtained under those regarding single-fuel diesel combustion modes. In terms of the ignition delays, conventional diesel combustion exhibited better performance with respect to CBG-diesel cases because of the overall specific heat capacity and oxygen rate. Also, exhaust gas temperature has lower value in dual-fuel cases. BSFC and PM results have better value in the CBG-diesel dual-fuel cases. More oxygen rate in single-fuel cases allowed more CO emissions to oxidize into CO2 and resulted in higher concentrations of CO2 emissions.
\nIron has an essential physiologic role, as it is involved in oxygen transportation and energy formation. The body cannot synthesize iron and must acquire it. Though the human body recycles and reutilizes iron, it also loses some iron daily; these lost pools require replacement. However recycling the iron from senescent erythrocytes meets most of the body’s iron needs by macrophages; only 5–10% of iron requirements come from food [1].
Iron differs from other minerals because iron balance in the human body is regulated by absorption only and there is no physiologic mechanism for excretion [2].
Haem iron derived from animal sources is better absorbed than non-haem iron derived from plant sources, whole cereals, whole pulses, and vegetables, particularly green leafy vegetables, contribute to a significant intake of dietary iron [3].
Dietary iron bioavailability depends primarily on the availability of iron for absorption in the GI tract, determined by the physicochemical form of iron in the lumen of the GI tract, largely dictated by the composition of meals, and secondarily by an individual’s absorptive efficiency, which depends on physiological requirements for iron and homeostatic mechanisms designed to maintain null balance. Bioavailability factors have been derived based on the balance of enhancers and inhibitors of iron absorption in diet [4].
Various strategies can be adopted to enhance bioavalibility and to combat iron deficiency which includes dietary diversification, food fortification, weekly iron and folic acid supplementation among others [1].
Iron is found naturally in many foods and is added to some fortified food products; recommended amounts of iron can be obtained by eating a variety of foods, including non-vegetarian food viz. lean meat, seafood, and poultry etc. in addition to the iron-fortified breakfast cereals and breads, white beans, lentils, spinach, kidney beans, and peas, nuts and some dried fruits [5].
Food diversification approach designed to increase micronutrient intake through diet represents the most desirable and sustainable method for preventing iron deficiency [3].
Reference intakes are used for a wide range of activities, such as planning diets, formulating complementary foods, setting levels of food fortification, implementing biofortification programs, and food labeling [4].
Dietary iron has two primary forms: haem and non-haem [1, 2, 6]. Haem iron has a higher bioavailability and is absorbed easier without the need for absorption-enhancing cofactors (Figure 1) [1, 2].
Types of iron.
Haem iron is estimated to contribute 10–15% of total iron intake in meat-eating populations, but, because of its higher and more uniform absorption (estimated at 15–35%), it could contribute 40% of total absorbed iron during iron deficiency to about 10 percent during iron repletion [7].
Non-haem iron, which is the most important dietary source in vegetarians, shows lower bioavailability [1, 2]; All non-haem food iron that enters the common iron pool in the digestive tract, however, it is important to note that not all fortification iron enters the common pool [2]; 17% of dietary non-haem iron gets absorbed [1].
Studies shows that, iron bioavailability is estimated to be 14–18% for mixed diet consumers and 5–12% for vegetarian diet consumers. Thereby, less than one-fifth of the dietary iron gets absorbed by the body [1].
Iron absorption in humans is dependent on physiological requirements, but may be restricted by the quantity and availability of iron in the diet [8]. Body absorbs iron from plant sources better when eaten with meat, poultry, seafood, and foods that contain vitamin C, like citrus fruits, strawberries, sweet peppers, tomatoes, and broccoli [5].
The diets of omnivores contain relatively small quantities of haem iron derived from meat and fish, which is always well absorbed [7, 8]. The remainder of the soluble iron forms a common non-haem iron pool and absorption is very variable, depending on meal composition, but its absorption is strongly controlled by iron stores [8].
High nutrition benefits of coarse cereals point to the need for an increase in their consumption and even higher production (Figure 1a).
a. Sources of non-heme iron. b. Sources of heme iron.
Top five pulses with respect to iron content are horse gram dal, soybean, moth beans, lentil (whole), and Bengal gram (whole). Horse gram dal, soybean, and moth beans provide as much as twice the iron in comparison to green gram dal and red gram dal. Arhar and moong, though lowest in iron content.
Bajra, ragi, rice flakes (poha) wheat flour, and jowar provide a higher amount of iron than maize and rice. Rice has the lowest iron content.
Green leafy vegetables are considered to be rich sources of iron and calcium. For example, beet greens, pumpkin leaves, colocasia leaves, and radish leaves having very high-iron content is usually not consumed by people and rather discarded as waste. There are others such as curry (8.7 mg/100 g), mint (8.6 mg), parsley (5.5 mg), coriander (5.5 mg), and drumstick (4.6 mg) though high in iron content, are consumed either less frequently or in small quantities. Greens like spinach, mustard leaves, and bathua leaves though popular are those with the least iron content [3].
Some of the nuts and oilseeds such as gingelly seeds (14.9 mg), mustard seeds (13.5 mg), cashew nuts (5.9 mg) and almond (4.5 mg), are fairly rich sources of dietary iron. Most of the fruits and vegetables, except lotus stem (3.3 mg iron/100 g), are a poor source of iron.
Jaggery, though rich in iron (4.6 mg iron per 100 g), is usually consumed in small amounts. Promoting traditional Indian snacks like gur chana or tilbugga prepared from jaggery and Bengal gram or gingelly seeds can contribute to significantly higher intake of jaggery and thus iron [5, 7].
Among poultry, chicken liver is the richest source of iron (9.9 mg/100 g) followed by duck meat (4.3 mg/100 g) (Figure 2b).
Animal meat, particularly liver and spleen, is very rich source of iron.
Boiled egg yolk is rich in iron as compared to egg white.
Fish on the contrary are not a very good source of iron [3].
Iron is present in a variety of foods, so eating a varied and healthful diet is important. Since Vitamin C enhances the absorption of iron, eating iron rich foods along with a source of vitamin C (citrus fruits and juices, etc.) can help replenish your body’s iron stores. Nevertheless, iron may be absorbed into foods that have been cooked in iron cookware [9].
Common sources of Iron are depicted in Table 1.
Iron contamination: For cooking, sometimes an iron skillet is a utensil used for cooking vegetables and other food to increase iron content in that food. Such a source of contaminated iron is sometimes practiced in some regions of the world [1].
Victuals | Portion size (approx.) | Amount of iron |
---|---|---|
Beef liver | 85 g | 5.2 mg |
Beef-ground | 85 g | 2.2 mg |
Canned clams | 85 g | 23.8 mg |
Chicken breast | 85 g | 1.1 mg |
Chicken liver | 85 g | 10.8 mg |
Fish, tuna canned | 85 g | 1.3 mg |
Lamb | 85 g | 3.0 mg |
Large egg | 1 | 1.0 mg |
Oysters | 85 g | 13.2 mg |
Pork | 85 g | 2.7 mg |
Sirloin streak | 250 g | 1.6 mg |
Shrimp | 85 g | 2.6 mg |
Salmon | 100 g | 1.28 mg |
Tofu | 100 g | 8 mg |
Turkey, dark meat | 85 g | 2.0 mg |
Turkey,light meat | 85 g | 1.1 mg |
Greens/veggies: | ||
Beets, canned | 64 g | 1.5 mg |
Brussel sprouts | 64 g | 2.0 mg |
Collards or beet | 64 g | 1.2 mg |
Dried thyme | 5 g | 1.2 mg |
Greens | 125 g | 2.2 mg |
Mushrooms | 64 g | 1.4 mg |
Peas, frozen | 64 g | 1.2 mg |
Potato, baked with skin on | Medium size | 1.9 mg |
Swiss chard | 64 g | 2.0 mg |
Spinach cooked/raw | 64 g/128 g | 3.0 mg |
Sweet potato, baked with skin on | Medium size | 1.1 mg |
Sauerkraut, canned | 64 g | 1.7 mg |
Tomato Sauce | 64 g | 1.3 mg |
Nuts | ||
Almonds or pistachios | 32 g | 1.3 mg |
Walnuts | 85 g | 1.0 mg |
Dried peaches | 64 g | 1.6 mg |
Dried raisins | 64 g | 1.4 mg |
Dried plums | 64 g | 1.3 mg |
Dried apricots | 64 g | 1.2 mg |
Pine or cashews | 85 g | 1.6 mg |
Prune juice | 125 g | 3.2 mg |
Strawberries | 1 pint | 1.5 mg |
Beans: | ||
White | 100 g | 5.8 g |
(Black, pinto) | 64 g | 1.6–1.8 mg |
(Kidney, lima) | 64 g | 2.6–3.9 mg |
Soybeans | 64 g | 4.4 mg |
Tofu, firm | 64 g | 3.4 mg |
Chickpeas | 100 g | 2.4 mg |
Double beans (cooked) | 125 g | 4.5 mg |
Tomato (sun dried) | 125 g | 4.9 mg |
Soy milk | 300 ml | 2.7 mg |
Quinoa | 125 g | 2.8 mg |
Kale | 125 g | 1.1 mg |
Grains: | ||
Lentils | 64 g | 3.5 mg |
Pumpkin seeds | 28 g | 4.2 mg |
Cereal | 64 g | 2–12 mg |
Cream of wheat | 64 g | 5.2 mg |
Oat meal | 64 g | 1.7 mg |
Oatmeal Instant fortified with iron | 64 g | 5.0 mg |
Common Sources of Vitamin C are depicted in Table 2.
Fruits | Vegetables |
---|---|
Amla, Cashew fruit, Guava, Lakuch, Korukkapalli, Papaya, Lime, sweet (Malta) Musambi, Lemon, Muskmelon Orange Pineapple Ripe tomato Zizypus | Amaranthus Agathi Brussels Carrot Coriander Cabbage Drumstick, Fetid cassia, Knol-khol radish, Turnip, Parsley *Sprouts are richer source of ascorbic acid. |
Sources of vitamin C [7].
The bioavailability of dietary iron is the proportion of iron that is actually available for absorption and utilization by the body (Figure 3) [11]. In humans, haem iron is well absorbed and its absorption varies little with the composition of the meal. Absorption is inversely related to the quantity of iron stores in the body [6].
Iron bioavailability.
Iron status of subject: absorption ranges from 15 to 25 percent in normal subjects and 25–35 percent in iron-deficient subjects.
Amount of dietary haem iron, especially from meat
Content of calcium in meal (e.g. milk, cheese)
Food preparation (time, temperature): Baking and prolonged frying have been shown to reduce haem iron absorption by about 40 percent.
Iron status of subject: The absorption of non-haem iron ranges from 2 to 20 percent. Severely iron-deficient individuals absorb non-haem iron at higher rates than those with normal iron levels. Absorption was shown to be the highest (5–13 percent) in pregnant anemic women.
Concomitant diet: The specific rate of absorption of non-haem iron is highly dependent on the effect of concomitantly ingested dietary components (reducing substances such as ascorbic acid keep iron in the reduced ferrous form) and the amount of body iron stores.
Food preparation (time, temperature): Cooking of cereals and pulses was shown to cause a loss of 22–24 percent of their iron, however, baking chapatti on an iron plate raised the iron content by 19 percent.
Fermentation can degrade the phytate and increase the bioavailability of iron in bread made from whole wheat flour.
Household processes such as germination, malting of grains/pulses and fermentation should be used to over come phytates and enhance the ascorbic acid and B-vitamins.
Amount of potentially available non-haem iron (adjustment for fortification iron and contamination iron).
Many different dietary components either enhance or inhibit dietary iron absorption when they are simultaneously present in the diet [1]. The bioavailability of food and dietary iron is influenced by certain factors, some of which are briefly described below [6].
Iron Absorption Enhancers foods are those, when you eat them together with a natural source of iron or an iron supplement, they help aid body’s ability to effectively absorb the iron into body system [1]. There’s no point in ingesting iron if the body cannot absorb it [10].
Meat/fish/poultry—these are also sources of the most potent form of iron (haem iron)
Acidic fruits—oranges/orange juice /cantaloupe/strawberries/grape fruit etc.
Vegetables—broccoli/brussels, sprouts/tomatoes/tomato Juice/potatoes/green and red peppers etc. [6, 10]
Fermented vegetables (e.g. sauerkraut), fermented soy sauces, etc. [6]
MFP Factor: It is a peptide present in meat, fish, and poultry. It enhances the absorption of non-haem iron present in the same meal. The detailed underlying mechanism is still not known. However, evidence suggests that cysteine-containing peptides present in the meat act by inhibiting luminal inhibitors and eventually form luminal carriers for iron transportation.
Studies consistently showed an enhanced effect on vegetarian iron absorption by 2-3-fold by adding animal proteins.
Ascorbic Acid (Vit C): This effect is mainly due to its iron-chelating and reducing abilities, converting ferric iron to ferrous iron, which has higher solubility and better absorption by 75–98 percent. The addition of ascorbic acid to cereals and pulses enhanced the available iron. [6] Vitamin C also has been shown to have an inhibitory effect on iron absorption inhibitors such as phytate, polyphenols, and calcium. Studies have convincingly shown the dose-dependent enhancing effect of natively present or added vitamin C on iron absorption [1].
The comprehensive review has shown that a food source containing 50 mg of ascorbic acid consumed with the main meal providing most of the daily intake of iron enhances iron bioavailability significantly.
Examples
Meat, fish, poultry
The addition of 90–100 g of meat, fish or poultry to the daily diet, significantly improves the bioavailability of iron. Meat and fish taken even in small amounts markedly improve the bioavailability of non-haem iron.
A non-vegetarian diet containing 3 oz. (approximately 85 g) of meat provides the same increase in non-haem iron absorption as 75 mg of ascorbic acid
Eggs are rich in iron content, but its bioavailability is poor. However, as a source of iron, eggs should be eaten along with a fruit or any other source containing 100 mg of ascorbic acid, or between meals [6].
Vitamin C
In cereal-based diets, absorption was the best for rice and vegetable combinations, which may result from ascorbic acid present in the vegetables. Children who consumed GLV once a week or more frequently had higher iron levels than non-consumers.
Daily intake of guava fruit with the two major meals by young anemic women shows significant increase in iron.
In regional meals, the addition of citrus fruit juices or a portion of potato, cauliflower or cabbage increases iron availability markedly [6].
If 25 mg of ascorbic acid as lemonade is consumed at two meals a day, it doubles the absorption of iron from a meal and improves the iron status [6].
The enhancing effect of ascorbic acid is dose-dependent, but little extra benefit is derived by increasing the intake of ascorbic acid beyond 100 mg in a meal. The influence of ascorbic acid is greatest on meals with low iron bioavailability, such as vegetarian meals [6]. It also improves the availability of iron from fortified foods.
The following are Iron Absorption Inhibitors. i.e. when you have them together with a source of iron, they will either inhibit (limit) or prevent your body from absorbing the iron, you ingested, these foods should be avoided when taking iron rich foods in diet. This also includes any supplementations.
Coffee and tea [6, 10] cocoa, certain spices, certain vegetables and most red wines. (Iron-binding phenolic compounds) [6]
Vegetables—spinach*/chard/beet greens/rhubarb/sweet potatoes whole grains and bran [6, 10].
Bread made from high-extraction flour, breakfast cereals, oats, rice [especially unpolished rice], pasta products, cocoa, nuts, soybeans and peas
Calcium (e.g. milk, cheese) [6].
Isolated soy ingredients—products made with soy flour and isolated soy protein concentrate [6, 10].
Phytates: they are known inhibitors of non-haem iron absorption [10]. Food sources high in phytates include soybean, black beans, lentils, mung beans, and split beans. Unrefined rice and grains also contain phytate [1]. Phytates can decrease non-haem iron absorption by 51–82 percent, and are found in higher concentrations in unrefined, non- or under-milled cereals than in refined, milled cereals [6].
Polyphenols: they are commonly found in tea as tannic acid and also in red wine and oregano. They inhibit non-haem iron by binding within the intestine [1, 6, 10].
Calcium: calcium has been found to have an inhibitory effect on both haem and non-haem iron absorption. Its exact mechanism is unclear [1, 6]. The first 40 mg of calcium in a meal showed no inhibiting effect, whereas 300–600 mg of calcium inhibited iron absorption by 60 percent, which is the maximum inhibition of iron. Studies showed that about 30–50 percent more iron was absorbed when no milk or cheese was served with the main meal, which provided most of the dietary iron [6].
Examples
Approximately 250 ml of black tea can inhibit non-haem iron absorption by approximately 50 percent even when drunk 1 hour after consuming the meal; however, it has no effect when consumed between meals. This inhibition is strongly dose-related, which can be reduced to some extent by serving tea with lemon or adding sufficient milk (100 ml) to the cup of tea [6].
Iron absorption is affected less by coffee than tea.
To overcome the inhibitory effects, tea or coffee should not be consumed with the main iron-containing meals [6].
Milk is better to be avoided with the main meals that contribute most of the daily iron intake, however it can be taken at breakfast, in the evening or at bedtime. Milk intake may be increased to as much as 400 ml per day provided it is distributed as suggested.
The high iron availability of breast milk, which averages 50 percent (compared to 10–20 percent in cow’s milk), is reduced when breast milk is taken together with cow’s milk or weaning foods. Hence weaning foods are recommended to be given separately from the breast milk [6].
Spinach is a good source of iron, too, but it is best to cook the spinach first—it unlocks much of the iron potential for it.
Practical solutions for the competition of calcium with iron is to increase iron intake, increase its bioavailability or avoid taking calcium and iron-rich foods at the same time [6].
The presence of carotene in rice-, wheat- and corn-based diets improved iron absorption from one to more than threefold suggesting that both ascorbic acid and carotene prevented the inhibitory effect of phytates on iron absorption [6].
Dietary factors that influence iron absorption, i.e. enhancers and inhibitors, have been shown repeatedly to influence iron absorption in single-meal isotope studies, whereas in multimeal studies with a varied dietary factor, the effect of single components have been, as expected, more modest [2].
The iron status of the individual and other host factors, such as obesity [2] and medical problems like malabsorptive disorder, Celiac disease, Crohn’s disease and those with history of gastric bypass surgery interferes with iron absorption, play a key role in iron bioavailability, and iron status generally has a greater effect than diet composition. Hence to develop a range of iron bioavailability factors based not only on diet composition but also on subject characteristics, such as iron status and prevalence of obesity is the need of the time [1].
The bioavailability of iron differs in various food sources depending on the types of dietary iron and the presence or absence of iron absorption enhancers or inhibitors among others (Figure 4) [2, 11].
Strategies to improve iron bioavailability.
Food fortification is the addition of micronutrients at the point of manufacture to enhance the nutritional content of the food items, such as meal ingredients or condiments [12].
Fortification is a medium-to-long-term approach that requires a suitable food vehicle and organized processing facilities. About 34 current evidence indicates that food fortification is an effective and cost-effective strategy for reducing the prevalence of iron deficiency. [8, 13, 14] providing extremely good value, with its benefits far outweighing the costs [13] in populations that consume diets containing suboptimal quantities of bioavailable iron [9] and WHO/FAO recommends that the level of fortification is based on the estimated daily iron intake deficit adjusted for bioavailability [8].
Since iron-deficiency anemia is a main indicator of micronutrient deficiencies, one of the safest strategies available to reduce the risk of iron deficiency is fortification with low doses of iron homogeneously diluted in a larger mass of food remains. These considerations are important in the context of the United Nations Sustainable Development Goals, alongside the several servings of iron per day. Unlike supplementation, iron fortification at the point of manufacture enables the delivery of small doses of the micronutrient in a food vehicle. It is slower to raise body iron levels compared with iron supplementation or iron therapy, but it might be safer [8].
Iron fortification can be done through staple food items such as rice, oils, and wheat; condiments such as fish sauce, soy sauce, lentils (Figure 5) [15], salt and sugar; and lastly through processed commercial food items, including infant complementary foods, dairy products, and noodles.
Lentil iron fortification.
Compared to supplements, the use of fortified complementary foods has been shown to be safer and more effective, since the limitations associated with supplementation includes the need to purchase iron supplements and the need for a higher degree of treatment compliance [13]. The high compliance to fortification is due to the ease of substitution of unfortified staples with fortified foods 34.
Iron salts recommended by WHO for fortification include ferrous sulphate, ferrous fumarate, ferric pyrophosphate, and electrolytic iron powder [2, 13].
The WHO drew up Guidelines for food fortification which included fortification with iron [14]. In a recent directive, the WHO and partner organizations, while providing guidance on national fortification of wheat and maize flours, have endorsed NaFeEDTA to be the only Fe fortificant suitable for use in high-extraction flours [16].
Wheat is currently the primary staple food for nearly one-third of the world’s population. NaFeEDTA protects iron from the phytic acid present in foods by binding more strongly to ferric Fe at the pH of the gastric juice in the stomach and then exchanging the ferric Fe for other metals in the duodenum as the pH rises [12]. It is 2- to 4-fold more bioavailable than ferrous sulfate, particularly in meals with a high-phytate content, thereby making it ideal for use in whole wheat flour [16].
Many research studies were undertaken globally on food fortification with iron; with wheat flour fortification the evidence for reducing iron deficiency among women in reproductive age (WRA) is consistent but on reducing anemia is limited [14].
The three reviews wherein multiple vehicles and various iron sources including electrolytic iron have been used concluded that consumption of iron fortified foods results in:
Improvement in weighted mean difference (WMD) in Hb of 0.42 g/dL, increase in serum ferritin of 1.37 μg/L and reduced risk of being anemic and iron deficient in children;
Improvement in standardized mean difference (SMD) in Hb of 0.55 and 0.64 g/dL, serum ferritin of 0.91 and 0.41 μg/L and reduced risk of being anemic RR 0.55 and 0.68 in children <15 8 years and WRA, respectively;
Improvement in WMD in Hb of 0.51 g/dL in children <10 years [14].
Efficacy of NaFeEDTA, as a fortificant has also been demonstrated in food vehicles such as curry powder, sugar, fish sauce, and maize flour [11, 13, 14, 16].
Salt: The National Institute of Nutrition had developed a technology for fortification of salt with iron and extensively tested its safety and efficacy. Fortification standards were formulated to provide 1 mg of iron (and 15 μg of iodine) per gram of salt which provides about 30–60% of RDA of 17 mg of an adult man consuming 5–10 g salt per day (FSSAI) [14].
Fortification of salt with iron is preferred because it requires only a relatively small volume of the food stuff to be fortified, unlike fortification of cereals. Currently iodisation of salt is nearly universal and using this platform it will be possible to scale up production, distribution and marketing of DFS. Double fortified salt-Iron fortified Iodized salt (providing about 10 mg of iron/day).
The studies on impact of fortified salt with three types of technologies (FeSO4, 13 encapsulated ferrous fumarate and ferric pyrophosphate) showed;
improvement in SMD of Hb of 0.44 g/dL and ferritin 0.62 μg/L,
anemia risk reduction ratio of 0.16 and IDA 0.20 [14].
Since haem iron is readily bioavailable, there have been some instances of the use of meat-derived products in packaged food as fortificants [12].
Iron fortification is not a standalone strategy to correct iron deficiency. There is a need to improve dietary diversification especially consumption of vitamin C rich fruits along with meals so that iron bioavailability is improved [14]. Point-of-use fortification employs micronutrient powders in the form of packed, single-dose sachets that can be added to prepared food to improve its nutrient value [12].
Food fortification offers many health benefits.
Iron fortification in children led to improvement in iron and hemoglobin status.
Hemoglobin levels significantly increased by 6.2 g/L and the risk of anemia was 50% lower in children receiving fortified milk or infant cereals [13]. Use of fortified milk and cereal-based products are more effective in reducing anemia in young children in developing countries, compared to the use of non-fortified products.
Cereal flour fortification with Fe is the most cost-effective and sustainable way to improve its status in deficient populations [16].
Food-fortification practices vary nationally and the need to adjust the dietary iron bioavailability factor for fortification iron will depend on the proportion of fortification iron in the total iron intake and the iron compounds used [13].
Iron compounds used for the fortification of foods will only be partially available for absorption. Once iron is dissolved, its absorption from fortificants and food contaminants is influenced by the same dietary factors [7].
Bioavailability of fortification iron varies widely with the iron compound used, and foods sensitive to color and flavor changes are usually fortified with water-insoluble iron compounds of low bioavailability [2].
Biofortification involves the targeted breeding of staple food crops in order to increase their intrinsic content of micronutrients, including iron. By combining traditional breeding with modern techniques, biofortification blends the traits of high-yield crop varieties with high iron varieties (Figure 6) [12, 17].
Biofortification.
The levels of iron for wheat and rice fortification is similar and permit additions ranging from a minimum of 33% to a maximum of 100% of RDA of 17 mg [14].
The use of biofortified crops address micronutrient deficiencies by enriching the staple food items that constitute the main portion of the diet. Iron biofortification is applicable to cereals like wheat, rice, and millet [12, 14] and to pulses like beans, peas, and lentils [12].
Therefore, even very small amounts of micronutrients could have a positive impact over time. Secondly, if biofortified crops also possess excellent agronomic characteristics, a self-sustaining public health intervention will result because farmers will favor such crops.
Iron-biofortified millet contains higher concentrations of iron. Iron levels in this type of millet reaches 90 ppm, whereas levels in nonbiofortified millet are around 20 ppm. Several studies indicate that regular intake of biofortified millet can be efficacious against iron deficiency [12].
A pearl millet variety was studied among 12–16 year adolescent girls consuming 200–300 g of pearl millet during lunch and dinner for 4 months revealed the following:
There was no difference in Hb
Ferritin increased significantly and
Positive impact on cognitive function [14].
Biofortified pulses, containing 100 ppm or more, have the highest concentrations of iron. Several studies have examined the bioavailability or efficacy of iron in biofortified beans consumed in developing countries; though phytic acid is present in beans, a high proportion of the iron is contained in phytoferritin. Iron from ferritins has been shown to be highly bioavailable [12].
The overall intake of iron from iron rich foods together with Vitamin C needs to be increased to obtain the optimum level of recommended dietary allowance of iron. This increase should be merged with efforts to cartel appropriate foods in the diet to enhance the bioavailability of iron and reduce inhibitory factors. Even without the haem iron found in fish or poultry, vegetarians are not at greater risk from iron deficiency than non-vegetarians. Cereals and millets, pulses and legumes, Green Leafy Vegetables, nuts and oilseed are good sources of iron.
The food combinations should be designed on the basis of foods that are normally consumed, accustomed, locally available and low-cost; comprising enhancing factors and limiting inhibitors to the extent possible and providing an overall balanced diet to provide all the major nutrients required by the body. In addition, combinations and proportions of foods on the basis of the factors influencing dietary iron absorption, a balanced diet has to be calculated.
Dietary consumption of iron and ascorbic acid could be increased by encouraging the production, processing, marketing and consumption of foods rich in these nutrients. Vitamin C-rich foods must be consumed at the same meal that contributes the major part of daily dietary iron.
Nutrition education could be a means for further promotion of dietary iron.
“The authors declare no conflict of interest.”
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\n\nWhen choosing a publication, Horizon 2020 grant recipients are encouraged to provide open access to various types of scientific publications including monographs, edited books and conference proceedings.
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New legislative initiatives to restrict the use of the existing commercial chemical pesticides have been an incentive for developing and registering new bio-pesticides. In this book chapter, we discuss up to-date pre-harvest biological control agents against mycotoxigenic fungi and their respective toxins. We will focus on the different modes of action of the most frequently studied biological control agents. Furthermore, a comprehensive overview on their ability to suppress mycotoxin biosynthesis will be discussed.",book:{id:"6733",slug:"mycotoxins-impact-and-management-strategies",title:"Mycotoxins",fullTitle:"Mycotoxins - Impact and Management Strategies"},signatures:"Mohamed F. 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Other factors such as poverty, and climate change further complicates the mycotoxin situation on the continent. Economic impact due to mycotoxin contamination in Africa is thus alarming. The effects of mycotoxins can in fact be felt in the overall health of humans and animals, sustainable development, food security and safety, damage to the African agricultural export brand, negatively impacting Africa’s self-sustainability and increased dependence on foreign aid, not excluding high cost of research, mitigation and regulation of the prevalence of these toxins in African countries. This book chapter presents an exhaustive appraisal of the socio-economic impact of mycotoxins on Africa. Our observations herein are expected to stimulate policy makers, as well as, all stakeholders along the food supply chain to identify critical areas of collaboration and strengthen alliances in order to ameliorate the effects of these toxicants on the continent of Africa, and the world at large.",book:{id:"6733",slug:"mycotoxins-impact-and-management-strategies",title:"Mycotoxins",fullTitle:"Mycotoxins - Impact and Management Strategies"},signatures:"Sefater Gbashi, Ntakadzeni Edwin Madala, Sarah De Saeger, Marthe De Boevre, Ifeoluwa Adekoya, Oluwafemi Ayodeji Adebo and Patrick Berka Njobeh",authors:null},{id:"44078",doi:"10.5772/55664",title:"Fungal and Mycotoxin Contamination of Nigerian Foods and Feeds",slug:"fungal-and-mycotoxin-contamination-of-nigerian-foods-and-feeds",totalDownloads:7875,totalCrossrefCites:13,totalDimensionsCites:21,abstract:null,book:{id:"3115",slug:"mycotoxin-and-food-safety-in-developing-countries",title:"Mycotoxin and Food Safety in Developing Countries",fullTitle:"Mycotoxin and Food Safety in Developing Countries"},signatures:"Olusegun Atanda, Hussaini Anthony Makun, Isaac M. Ogara, Mojisola Edema, Kingsley O. Idahor, Margaret E. Eshiett and Bosede F. Oluwabamiwo",authors:[{id:"59728",title:"Dr.",name:"Hussaini",middleName:"Anthony",surname:"Makun",slug:"hussaini-makun",fullName:"Hussaini Makun"},{id:"62810",title:"Dr.",name:"Shamsideen",middleName:null,surname:"Aroyeun",slug:"shamsideen-aroyeun",fullName:"Shamsideen Aroyeun"},{id:"75619",title:"Dr.",name:"Mojisola",middleName:null,surname:"Edema",slug:"mojisola-edema",fullName:"Mojisola Edema"},{id:"152005",title:"Dr.",name:"Chibundu",middleName:"N",surname:"Ezekiel",slug:"chibundu-ezekiel",fullName:"Chibundu Ezekiel"},{id:"152110",title:"MSc.",name:"Bosede Folasade",middleName:null,surname:"Oluwabamiwo",slug:"bosede-folasade-oluwabamiwo",fullName:"Bosede Folasade Oluwabamiwo"},{id:"153376",title:"Dr.",name:"Olusegun",middleName:null,surname:"Atanda",slug:"olusegun-atanda",fullName:"Olusegun Atanda"},{id:"153378",title:"Mr.",name:"Kingsley",middleName:null,surname:"Omogiade Idahor",slug:"kingsley-omogiade-idahor",fullName:"Kingsley Omogiade Idahor"},{id:"153379",title:"Dr.",name:"Margaret",middleName:"Efiong",surname:"Eshiett",slug:"margaret-eshiett",fullName:"Margaret Eshiett"},{id:"153380",title:"Mr.",name:"Isaac",middleName:null,surname:"Ogara",slug:"isaac-ogara",fullName:"Isaac Ogara"}]},{id:"44083",doi:"10.5772/54423",title:"Regulation and Enforcement of Legislation on Food Safety in Nigeria",slug:"regulation-and-enforcement-of-legislation-on-food-safety-in-nigeria",totalDownloads:16352,totalCrossrefCites:10,totalDimensionsCites:14,abstract:null,book:{id:"3115",slug:"mycotoxin-and-food-safety-in-developing-countries",title:"Mycotoxin and Food Safety in Developing Countries",fullTitle:"Mycotoxin and Food Safety in Developing Countries"},signatures:"Jane Omojokun",authors:[{id:"152076",title:"Mrs.",name:"Jane",middleName:null,surname:"Omojokun",slug:"jane-omojokun",fullName:"Jane Omojokun"}]}],mostDownloadedChaptersLast30Days:[{id:"69028",title:"Aflatoxin B1: Chemistry, Environmental and Diet Sources and Potential Exposure in Human in Kenya",slug:"aflatoxin-b1-chemistry-environmental-and-diet-sources-and-potential-exposure-in-human-in-kenya",totalDownloads:1360,totalCrossrefCites:0,totalDimensionsCites:6,abstract:"Cancer incidences and mortality in Kenya are increasing according to recent reports and now number among the top five causes of mortality in the country. The risk factors responsible for this increase in cancer incidences are assumed to be genetic and/or environmental in nature. The environmental factors include exposure to carcinogenic contaminants such aflatoxins (AFs). However, the exact causes of the increase in cancer incidences and prevalence in many developing countries are not fully known. Aflatoxins are known contaminants produced by the common fungi Aspergillus flavus and the closely related Aspergillus parasiticus which grow as moulds in human foods. Aflatoxin B1 (AFB1) is most common in food and is 1000 times more potent when compared with benzo(a)pyrene, the most potent carcinogenic polycyclic aromatic hydrocarbon (PAH). Aflatoxins have therefore drawn a lot of interest in research from food safety and human health point of view. In this chapter, the chemistry, synthesis, identification, toxicology and potential human health risks of AFB1 in Kenya are discussed.",book:{id:"8094",slug:"aflatoxin-b1-occurrence-detection-and-toxicological-effects",title:"Aflatoxin B1 Occurrence, Detection and Toxicological Effects",fullTitle:"Aflatoxin B1 Occurrence, Detection and Toxicological Effects"},signatures:"Joseph Owuor Lalah, Solomon Omwoma and Dora A.O. Orony",authors:[{id:"301744",title:"Dr.",name:"Joseph",middleName:null,surname:"Lalah",slug:"joseph-lalah",fullName:"Joseph Lalah"}]},{id:"44101",title:"Nigerian Indigenous Fermented Foods: Processes and Prospects",slug:"nigerian-indigenous-fermented-foods-processes-and-prospects",totalDownloads:15673,totalCrossrefCites:7,totalDimensionsCites:11,abstract:null,book:{id:"3115",slug:"mycotoxin-and-food-safety-in-developing-countries",title:"Mycotoxin and Food Safety in Developing Countries",fullTitle:"Mycotoxin and Food Safety in Developing Countries"},signatures:"Egwim Evans, Amanabo Musa, Yahaya Abubakar and Bello Mainuna",authors:[{id:"156271",title:"Dr.",name:"Evans",middleName:null,surname:"Egwim",slug:"evans-egwim",fullName:"Evans Egwim"}]},{id:"61941",title:"Preharvest Management Strategies and Their Impact on Mycotoxigenic Fungi and Associated Mycotoxins",slug:"preharvest-management-strategies-and-their-impact-on-mycotoxigenic-fungi-and-associated-mycotoxins",totalDownloads:1563,totalCrossrefCites:4,totalDimensionsCites:9,abstract:"Mycotoxigenic fungi that contaminate grain crops can lead to reduced grain quality, crop yield reduction and mycotoxicosis among humans and livestock. Preharvest management of fungi and mycotoxin contamination is considered among the most important mitigating strategies. Approaches include the breeding of resistant cultivars, use of microorganisms chemical control, production practises and the management of plant stressors. Resistant plants provide an effective and environmentally sound strategy to control mycotoxigenic fungi and mycotoxins; and have been documented. Their incorporation into commercial cultivars is, however, slow and complex. Therefore, emphasis should be placed on determining the resistance of cultivars and landraces currently used by producers. Chemical control has been successfully used for wheat; yet little to no research has been done on other important crops. Biological control strategies have focussed on Aspergillus flavus that produces aflatoxins and infects commercially important crops like maize and groundnuts. Commercial biological control products have been developed and field-tested in several African countries with promising results. The impacts of production practises are unclear under variable environmental conditions; but subsequent disease manifestation and mycotoxin contamination can be reduced. Each preharvest approaches contribute to managing mycotoxigenic fungi and their mycotoxins but integrating approaches may provide more effective management of fungal and mycotoxin contamination in crops.",book:{id:"6733",slug:"mycotoxins-impact-and-management-strategies",title:"Mycotoxins",fullTitle:"Mycotoxins - Impact and Management Strategies"},signatures:"Lindy J. Rose, Sheila Okoth, Bradley C. Flett, Belinda Janse van Rensburg and Altus Viljoen",authors:null},{id:"63672",title:"Aflatoxins: Their Toxic Effect on Poultry and Recent Advances in Their Treatment",slug:"aflatoxins-their-toxic-effect-on-poultry-and-recent-advances-in-their-treatment",totalDownloads:1521,totalCrossrefCites:2,totalDimensionsCites:4,abstract:"About 25% of total agriculture products are contaminated with aflatoxins (AFs) and other mycotoxins in the world especially in Africa, Asia and Latin America, completely losing about 2–3% of food values and thus causing economic losses to farmers. The mycotoxin contaminations of food supply chain impact on human and animal health primarily, whereas production is the second major concern especially in developing countries. Aflatoxins (colorless to pale yellow colored crystals) are the most studied (>5000 research articles) group of mycotoxins. AFs impose major problems regarding health, growth, FCR (feed conversion ratio), etc. in the subtropical zone. In the agricultural commodities, the prevention of fungal contamination during plant growth, harvesting and storage seems to be the most effective and rational precautionary measures to avoid mycotoxins. Activated charcoal; aluminosilicates; polymers, such as polyvinyl pyrrolidones and cholestyramine; and yeast, yeast-based products, and humic acid have been studied extensively with promising but variable results. A live yeast, named Saccharomyces cerevisiae (S. cerevisiae), has also been observed to lighten the adverse effects of aflatoxicosis in poultry. These beneficial effects were later attributed to glucomannan, being derived from the cell wall of S. cerevisiae.",book:{id:"6733",slug:"mycotoxins-impact-and-management-strategies",title:"Mycotoxins",fullTitle:"Mycotoxins - Impact and Management Strategies"},signatures:"Yasir Allah Ditta, Saima Mahad and Umar Bacha",authors:null},{id:"44100",title:"Antioxidant Properties of Selected African Vegetables, Fruits and Mushrooms: A Review",slug:"antioxidant-properties-of-selected-african-vegetables-fruits-and-mushrooms-a-review",totalDownloads:7701,totalCrossrefCites:8,totalDimensionsCites:13,abstract:null,book:{id:"3115",slug:"mycotoxin-and-food-safety-in-developing-countries",title:"Mycotoxin and Food Safety in Developing Countries",fullTitle:"Mycotoxin and Food Safety in Developing Countries"},signatures:"R.U. Hamzah, A.A. Jigam, H.A. Makun and E.C. Egwim",authors:[{id:"156271",title:"Dr.",name:"Evans",middleName:null,surname:"Egwim",slug:"evans-egwim",fullName:"Evans Egwim"},{id:"59728",title:"Dr.",name:"Hussaini",middleName:"Anthony",surname:"Makun",slug:"hussaini-makun",fullName:"Hussaini Makun"},{id:"159472",title:"Mrs.",name:"Rabiat",middleName:"Unekwu",surname:"Hamzah",slug:"rabiat-hamzah",fullName:"Rabiat Hamzah"},{id:"159935",title:"Dr.",name:"Ali A.",middleName:null,surname:"Jigam",slug:"ali-a.-jigam",fullName:"Ali A. 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The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"June 11th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:9,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. 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