Geometry data and mesh statistics.
\r\n\t1. Emphasizing the unique power of the molecular docking method in new drug discovery;
\r\n\t2. Demonstration of how the molecular docking technique has led to the discovery of new molecules in cancer therapy, proteasome, and STAT3 inhibition, and the treatment of Alzheimer's disease;
\r\n\t3. Underlining the importance of molecular docking-based modeling methods in the various branches of biotechnology
\r\n\tWe hope that this book will be a common point where researchers working in the fields of life sciences and drug development will eventually meet.
",isbn:"978-1-80356-468-5",printIsbn:"978-1-80356-467-8",pdfIsbn:"978-1-80356-469-2",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"8c918a1973786c7059752b28601f1329",bookSignature:"Dr. Erman Salih Istifli",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11451.jpg",keywords:"Protein-Ligand Interaction, Lead Discovery, Molecular Recognition, Enzyme-Ligand Interaction, Mutant Enzymes, Alanine Screening, Proteasome Inhibitors, Signal Transducers, Transcription Activators (STATs), DNA Recognition Motifs, Neoplastic Cells, Amyloid-Beta Proteins",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"March 3rd 2022",dateEndSecondStepPublish:"May 4th 2022",dateEndThirdStepPublish:"July 3rd 2022",dateEndFourthStepPublish:"September 21st 2022",dateEndFifthStepPublish:"November 20th 2022",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"2 months",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:4,editedByType:null,kuFlag:!1,biosketch:"A multidisciplinary researcher working in the fields of cytogenetics, molecular genetics, and bioinformatics-based molecular modeling (currently on the structural biology of COVID-19 and the treatment of Alzheimer’s disease). Dr. Istifli previously joined the molecular cytogenetics group at the Max Planck Institute for Molecular Genetics in Berlin, Germany where he contributed experimentally to the identification of four candidate genes (GRIA2, GLRB, NPY1R, and NPY5R).",coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"179007",title:"Dr.",name:"Erman Salih",middleName:null,surname:"Istifli",slug:"erman-salih-istifli",fullName:"Erman Salih Istifli",profilePictureURL:"https://mts.intechopen.com/storage/users/179007/images/system/179007.JPG",biography:"Dr. Erman Salih İstifli received his Ph.D. from Biology Department of Cukurova University, Insitute of Science and Letter. In his doctoral study, Dr. İstifli focused on the elucidation of the genotoxic and cytotoxic effects of a commonly used anticancer agent (antifolate) on human lymphocytes. During his period of doctoral research, he joined the molecular cytogenetics group at the Max Planck Institute for Molecular Genetics in Berlin, Germany, and he focused there on investigating the molecular cytogenetic causes of some human rare diseases. During these studies, he contributed experimentally to the identification of four candidate genes (GRIA2, GLRB, NPY1R, and NPY5R) responsible for intelligence and obesity. He was assigned as an expert and rapporteur on eight candidate projects in the Marie-Sklodowska Curie-Actions Innovative Training Networks in 2016. In 2017, he completed the online theoretical and practical course 'Introduction to Biology - The Secret of Life', run by the Massachusetts Institute of Technology (MIT) on the edX platform. In April 2019, within the framework of Erasmus+ staff mobility program, he gave seminars on 'DNA microarrays and their use in genotoxicity' at Tirana University in Tirana, Albania. He is a published author of several articles in journals covered by the SCI and SCI-E, and has manuscripts in other refereed scientific journals. He currently serves as a referee in several journals covered by the SCI and SCI-E. His studies mainly fall into the field of genetic toxicology. He continues his current research on the structural biology of COVID-19 as well as identification of novel plant-based hit compounds in the treatment of Alzheimer’s disease.",institutionString:"Çukurova University",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"1",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"Cukurova University",institutionURL:null,country:{name:"Turkey"}}}],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:"280415",firstName:"Josip",lastName:"Knapic",middleName:null,title:"Mr.",imageUrl:"https://mts.intechopen.com/storage/users/280415/images/8050_n.jpg",email:"josip@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, copy-editing 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:"8068",title:"Cytotoxicity",subtitle:"Definition, Identification, and Cytotoxic Compounds",isOpenForSubmission:!1,hash:"20a09223d92829b5478b5f241f6a03ce",slug:"cytotoxicity-definition-identification-and-cytotoxic-compounds",bookSignature:"Erman Salih Istifli and Hasan Basri Ila",coverURL:"https://cdn.intechopen.com/books/images_new/8068.jpg",editedByType:"Edited by",editors:[{id:"179007",title:"Dr.",name:"Erman Salih",surname:"Istifli",slug:"erman-salih-istifli",fullName:"Erman Salih Istifli"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"6969",title:"Lymphocytes",subtitle:null,isOpenForSubmission:!1,hash:"1aa8ac01c934ebdeedd5d7813036beef",slug:"lymphocytes",bookSignature:"Erman Salih Istifli and Hasan Basri İla",coverURL:"https://cdn.intechopen.com/books/images_new/6969.jpg",editedByType:"Edited by",editors:[{id:"179007",title:"Dr.",name:"Erman Salih",surname:"Istifli",slug:"erman-salih-istifli",fullName:"Erman Salih Istifli"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{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. 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OFGs are intrinsic devices that allow modulate the properties of light propagation within the fiber. Grating structures are comparatively simple and in its most basic form, consist on a periodic modulation of the properties of an optical fiber (usually the refraction index of the core). Its application as a sensing element is advantageous because of the intrinsic characteristics of the fiber sensors, such as remote sensing, electromagnetic immunity, weight and compactness, and capability for real time sensing and low cost [1].
Among OFGs, long period fiber gratings (LPFGs) are one of the most important fiber-based sensors. They were first presented by Vengsarkar and co-workers in 1996 [1] as band-rejection filters. Since then, LPFG technology has been receiving continuously growing attention from scientific community. Due to their spectral characteristics, LPFGs have found many applications in both optical communications and sensing systems. In the optical communications field, they have been demonstrated as gain equalizers [1], dispersion compensators [2], optical switches [3], components in wavelength division multiplexing (WDM) systems [4], band rejection filters and mode converters [5]. For optical sensing applications, LPFGs have been implemented as a temperature [6], strain [7] and refractive index sensor [8-10]. As element sensor a LPFG exhibits high sensitivity to the refractive index (RI) of the material surrounding the cladding surface. Other strengths are their low insertion losses, low back-reflection, polarization independence, relatively simple fabrication, and remote sensing easily multiplexed.
These gratings devices operate in transmission mode and are manufactured with periods typically in the range from 100 µm to 1000 µm [6]. Their large modulation period promotes the coupling of the light from the fundamental core mode to co-propagating cladding modes in a single-mode fiber [1]. The light coupled to the cladding decays quickly due to the absorption and scattering by the coating over the cladding.
A commonly-used optical fiber typically consists of a core and a cladding. In Figure 1 it is schematized the coupling mode that occurs in a LPFGs inscribed in single-mode fiber (SMF). As a result, the transmission spectrum of a LPFG has a series of resonant loss peaks (attenuation bands) centered at discrete wavelengths. A typical (theoretical) example is shown in Figure 2.
Schematic diagram of a mode coupling in a long period grating [
Theoretical example of the spectrum of a 500 μm-LPFG inscribed in a Corning SMF-28 fiber.
The resonant wavelength at which coupling takes place satisfies the phase matching condition
in which
Both resonant wavelength and attenuation amplitude of LPFGs are sensitive to a several physical parameters: temperature, strain, external refractive index, fiber dimensions, grating pitch, etc. These physical parameters affect the coupling between the core and cladding modes, which could lead to both amplitude and wavelength shift of the attenuation bands in the transmission spectrum [13]. The measurement of these spectral parameters in response to the environment surrounding the grating region is the basis of sensing with these devices.
In particular, LPFGs exhibits high sensitivity to changes in the RI of the medium surrounding the fiber due to the dependence of the phase matching condition upon the effective refractive index of the cladding modes. This characteristic makes these structures very attractive for sensing applications and several configurations, as well as applications, of LPFG devices for the measurement of physical and chemical quantities have been studied [6-13].
As mentioned before, LPFGs are created by inducing a periodic refractive index modulation (typically 10-4 [14-19]) in the core of an optical fiber with period lengths of several hundred micrometers. This can be made by permanent modification of the refractive index of the optical fiber’s core or by physical deformation of the fiber.
Since the first demonstration of these devices by writing the grating with ultraviolet (UV) laser light through an amplitude mask in 1996 [1], several methods have been developed to create and improve the quality of the LPFGs. The conventional UV writing method is based on the exposure of photosensitive optical fibers to UV light through an amplitude mask, phase mask or by interferometry [8-9]. In germanium-doped (Ge-doped) silica fibers, UV light changes the refractive index of the core fiber, being this effect related with the formation of Ge-associated defects [20]. However, this method has some inherent limitations. It requires complex and time-consuming processes, including annealing and hydrogen loading for making the fibers photosensitive, and different amplitude masks when different dimensions are required. Also, the masks need replacement after prolonged usage and the required laser equipment is expensive.
There are, however, many non-photochemical methods available for gratings inscription. These include ion beam implantation [21], applying mechanical pressure [22], electric-arc discharge [23, 24] and irradiation by femtosecond laser pulses [25] or CO2 laser beam [26, 27]. Among these methods, the latter is particularly flexible, as it can be applied to different types of fibers and the writing process can be computer-controlled to fabricate complicated gratings profiles without using amplitude masks. Furthermore, the use of infrared radiation as showed that the resulting interaction mechanisms are more efficient and allow creating devices with particular characteristics.
Taking this in consideration, this chapter addresses the application of CO2 laser radiation in writing LPFGs and the physical principles involved in the process. A special emphasis will be given to the modulation of the refractive index resultant from the interaction between the mid-infrared (MIR) radiation (emitted by these lasers) and a conventional Ge-doped SMF.
In section 2 it will be described the fabrication process for applying the MIR radiation, starting with a review on the use CO2 lasers in the creation of LPFGs. Experimental work is presented as well as the physical principles that may be responsible to induce the periodic refractive index modulation in the fiber‘s core.
Section 3 will address the subject of simulating the thermal mechanical processes involved in the process. Analytical and numerical models will be analysed and compared. In particular, a 3D finite element method (FEM) model will be presented, including the temperature dependence of the fiber’s main parameters.
In section 4, it is presented a practical example of writing LPFGs on a Ge-doped fiber using a CO2 laser. A comparison between calculated data and experimental data is made, and future work towards a full understanding of the physical processes is foreseen.
The use of CO2 lasers to write LPFGs has emerged as an important alternative. Compared with other LPFG fabrication methods, this irradiation technique provides many advantages, including high thermal stability, more flexibility, lower insertion loss, lower cost. This section addresses the application of the CO2 laser irradiation in creation of LPFG and the physical principles involved in this process.
The first results of the application of the 10.6 µm wavelength radiation emitted by CO2 lasers for the fabrication of LPFG in a conventional fiber were published in 1998 [26-28]. Since then, different experimental methodologies have been described. The most common is the point-to-point technique using a static asymmetrical irradiation with a CO2 laser emitting in a specific mode (continuous wave, CW, or pulsed) and a lens focusing the beam on the fiber. Akiyama [28] used continuous wave emission, while Davis [26] applied laser pulses with powers of about 0.5W.
In Figure 3 it is presented a schematic representation of a typical LPFG fabrication system based on the point-to-point technique employing a CO2 laser. The optical fiber with its buffer stripped is placed on a motorized translation stage. In order to keep the fiber straight during the writing process, a small weight is applied at the end of the fiber and the laser beam is focused on the fiber. In this technique the periodicity of the LPFG writing is accomplished by moving the fiber along its axial direction via a computer controlled translation stage, which also controls the CO2 laser beam emission. A broadband source and an optical spectrum analyzer (OSA) are employed to monitor the evolution of the spectrum during the laser irradiation. This method has the advantage of requiring a simpler setup, although the irradiation occurs on just one of the sides of the fiber. Also, the translation stage movement can generate vibrations that may be transmitted to the fiber, affecting the quality and repeatability of the LPFG. This problem can be solved using a system where the beam delivery system is moving instead of the fiber [29] or if the fiber is maintained static and a two-dimensional galvanometric mirrors system scans the beam over its surface [29-30]. Some authors reported hybrid methods, combining point-by-point and scanning [31,32]. In this chapter we will consider the method presented by Alves
Schematic diagram of a typical LPFG fabrication system based on the point-to-point technique using a CO2 laser.
Since the silica glass has strong absorption around the wavelength of the CO2 laser radiation, the beam intensity is gradually attenuated along the incident direction, resulting in asymmetric RI modulation. Such distribution could cause coupling of the core mode to both the symmetric cladding modes and the asymmetric cladding modes [33]. As a result, high fiber grating birefringence and high polarization-dependent loss can become inevitable [30].
In order to solve the birefringence problem, different methods have been proposed. Single–side and symmetric exposures to the laser radiation were compared by Oh
Gratings inscription was also achieved through the use physical deformations (or geometrical deformation). Wang
Besides conventional single-mode fibers (SMFs), CO2 laser have been used to write LPFGs in other types of fiber, such as boron doped SMF [40,41], and photonic crystal fibers (PCFs) [42,44].
There have been many studies focused on the understanding of the physical mechanisms involved in the CO2 laser writing process for different kinds of fibers. Most of the existing works consider that the main mechanisms responsible for creating a refractive-index change in the CO2 laser irradiation-induced LPFGs are residual stress relaxation processes [26,29,35,40-44]. In these processes, heat created by the absorption of laser energy in the material play an important role and, as will be explained next, modelling the writing process requires considering both thermal and mechanical processes.
As mentioned before, the main effect behind LPFG fabrication using CO2 lasers is heating, where the refraction index change is achieved by irradiating a fiber submitted to a tensile stress. The high absorption of the glass material to the MIR radiation emitted by these lasers leads to an excess of energy due to the excitation of the lattice which is transformed into heat, increasing the material’s temperature from its surface to its bulk by heat conduction. This effect depends on the irradiation time and on the thermal diffusivity of the material, it is localized and periodically induced in the fiber’s length, being responsible for the creation of the gratings.
Considering the temperature,
where
being
If enough energy is applied, differences in the thermal expansion coefficients and viscosity of core and cladding lead to residual thermal stresses and draw-induced residual stresses, and refractive index change results from frozen-in viscoelasticity [46]. The analysis of these effects is complex and highly dependent on the physical characteristics of the different materials composing the optical fiber. For simplifying the subject, we will consider silica-based single mode fibers since they are at the base of most LPFGs manufactured using CO2 lasers. Also, from the different irradiation methodologies explained in the previous section, we will consider the coordinate referential illustrated in Figure 4. The main interfaces between regions of interest in the fiber, illustrated in Figure 4(b), are represented by a point in the upper surface (relative to laser incidence), two points in the cladding/core interface and one point in the bottom interface. In order to simplify the plots regarding calculated data in section 4, and since early work demonstrated low variation in temperature between the cladding/core interfaces [47-49], we use the core’s middle point instead.
(a) Schematic of coordinates used in this work and (b) optical fiber cross-section indicating the considered referential, the interfaces between the different regions, and points of interest: A – irradiated surface, B – core/cladding interface (upper), C – core/cladding interface (lower), D – bottom surface and E – middle point. The origin of the reference system is in the middle of the laser line.
When considering an homogeneous isotropic material, the condition of mass conservation, and introducing the thermal diffusivity
For a laser beam incident on a surface and propagating in the
where
Accordingly with the irradiation geometry schematized in Figure 4, and considering that the laser beam has an elliptical Gaussian distribution at the surface being irradiated, then [50]:
where
If one neglects radiative and convective losses and considers temperature dependent material properties, then it is possible to obtain analytical expressions to the temperature. Typically [47,50,51], the heat equation is solved numerically using the Green’s function method and the temperature can be obtained [49]:
with
From (8) an on-axis approximation can be used [51] and the temperature rise can be approximated through simple analytical expressions:
for the steady state condition (t >> rx2 ry2 / 4k) and
under transient conditions. Although Yang
Residual elastic stresses are considered those that are frozen into the fiber [52] and have an important impact on the production of LPFG since they affect the refractive index of an optical fiber. When using the considered MIR radiation, two categories of residual elastic stresses must be considered: thermal and draw-induced stresses.
Residual thermal stresses appear as the optical fiber is cooled down from high temperatures and regions with different thermal expansion coefficients contract differently in time. Dopants introduced increase the differences in viscosity and thermal expansion coefficients.
A solution for the resulting residual thermal stresses of an initially unstressed axisymmetric cylinder heated at a given temperature,
being
Residual stress effects on the refractive indices of fibers were reported for the first time by Hibido
and
being
Similarly to these stresses, frozen-in inelastic strains were also found if a fiber is rapidly cooled to room temperature while under tension (as in the considered case) [46,52]. Using the equivalent elastooptic relations [52], the isotropic perturbation on the refractive,
In the later expression,
Besides stress-related refractive index change, localized heating can induce micro-deformation of the fiber and changes in the glass structure. The latter is likely to occur in the core for which the fictive temperature (the glass structure doesn’t change below the fictive temperature) is lower [56,57]. As reported for a Ge-doped core (e.g. the fictive temperature ranges from 1150 K to 1500 K.
To illustrate the application of the theory and also correlate it with experimental data, we will consider a common example of LPFG writing using NIR radiation: a standard single-mode fiber, SMF-28 [58], consisting of a core of 3.5 mol% Ge-doped SiO2, is irradiated by a CW 10.6 µm wavelength CO2 laser. For fused silica,
Also, in this case, equations (17) and (18) represent, respectively, the residual axial elastic stresses at the core (low-viscosity glass) and the cladding (high-viscosity glass) [46].
The particular conditions used in both simulation and experimental works, as well as the obtained results, will be detailed next.
The simulation of the writing process was made implementing a 3D FEM model using the COMSOL Multiphysics program. Whenever relevant, the material’s dependence with temperature was considered and the proper geometry and FEM parameters defined.
Besides COMSOL, two other programs were used: Matcad and a simulation tool developed in MatLab by Baptista [60] based on the three layer model developed by Erdogran [14,60]. The latter was used to apply the refractive index data obtained in the FEM model to simulate the transmission spectrum of a LPFG. Matcad was used to solve equations (8) and (11) and compare the temperature data with that obtained through the FEM model.
When light interacts with matter, one of the main parameters is the absorption coefficient, aT. As it can be deduced from the formulae of section 3, it plays a major role in the process of heating the fiber. Besides its dependence with the wavelength of the light, it varies with temperature. This variation is important and for the 10.59 µm CO2 laser wavelength (λ1), within 298 K–2,073 K temperature range can be obtained by [61]:
For the thermal conductivity, heat capacity, density and emissivity, the temperature dependence was modelled using native COMSOL functions for a Corning fused silica glass (7940) [48]. The doping effect on most of the parameters was disregarded mainly because the Ge concentration in the fiber’s core is very low [62]. However, for the Young’s modulus and Poisson’s ratio (Figure 5), the function behaviour was extrapolated [63]. Also, both the heat transfer coefficient and reflectivity were considered constant and equals to 418.68 W m−2 K−1 [45] and 0.15 [51], respectively.
Variation of (a) Young’s module and (b) Poisson’s ratio with temperature for both fused silica (from COMSOL materials library) cladding and Ge-doped fused silica (extrapolated) core glasses.
The physical problem was mathematically solved using the FEM model implemented using the COMSOL Multiphysics 3.5 program to create the transient heat conduction and (mechanical) stress-strain models under the conditions of this study. In order to introduce some of the complexity of stress-related issues regarding the processing of the optical fibers, the residual axial elastic stresses were implemented considering Equations (9) and (10) and the total resulting stress was obtained adding the thermally-induced residual stresses obtained with the program.
As illustrated in Figure 4, the implemented geometry consists of a set of (concentric) cylinders with radius of curvatures accordingly with the characteristics of the core and cladding of the fiber previously described. To avoid the influence of the external boundaries on the irradiated and analysed zones, the overall length for the geometry was set as 13 mm. However, to reduce the computational load and loosen the mesh dimensions in the volumes not affected heat source, the cylinders were implemented as three separate sets; the central one, where the laser incidence will be simulated, has a 1.7mm length. The outer set of cylinders are asymmetric since the second laser shot will be simulated just in the positive x-direction.
Table 1 presents the 3D geometry data and the mesh statistics and Figure 6 shows the implemented mesh, with particular focus on the central irradiation zone. Both outer boundary surfaces are defined as thermally isolated, being one of them fixed. The ambient temperature was considered to be 295 K and equal to the external temperature, Text in Equation (3).
\n\t\t\t | \n\t\t\t\t | \n\t\t\t\n\t\t\t | \n\t\t\t\t | \n\t\t|||
\n\t\t\t | \n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t||
Geometry | \n\t\t\t\n\t\t\t | \n\t\t\t | Left | \n\t\t\tRight | \n\t\t\tLeft | \n\t\t\tRight | \n\t\t
Length (mm) | \n\t\t\t1.7 | \n\t\t\t5.15 | \n\t\t\t6.15 | \n\t\t\t5.15 | \n\t\t\t6.15 | \n\t\t|
Radius (µm) | \n\t\t\t62.5 | \n\t\t\t4.1 | \n\t\t\t62.5 | \n\t\t\t4.1 | \n\t\t||
Mesh (tetrahedral) | \n\t\t\t\n\t\t\t | \n\t\t\t | \n\t\t\t | \n\t\t\t | \n\t\t\t | \n\t\t |
# elements | \n\t\t\t26,122 | \n\t\t\t1,795 | \n\t\t\t26,262 | \n\t\t\t26,825 | \n\t\t\t1,710 | \n\t\t\t1,795 | \n\t\t
min. quality | \n\t\t\t0.0495 | \n\t\t\t0.1659 | \n\t\t\t0.2287 | \n\t\t\t0.2284 | \n\t\t\t0.2004 | \n\t\t\t0.1956 | \n\t\t
volume ratio | \n\t\t\t8.47 × 10−4\n\t\t\t | \n\t\t\t0.1010 | \n\t\t\t0.0028 | \n\t\t\t0.0036 | \n\t\t\t0.4906 | \n\t\t\t0.3593 | \n\t\t
Geometry data and mesh statistics.
Image of the mesh implemented at the central zone of the FEM geometry. The coloured region corresponds to the central geometry with finer mesh (
The implemented irradiation methodology combines a translation stage to move the fiber synchronized with a one-dimensional scan over a cylindrical lens [32]. Figure 7 shows a schematic of the setup and Figure 8 a picture of its implementation. The light source is a Synrad 48-2 CO2 laser emitting a 3.5 mm diameter CW laser beam with a wavelength of 10.6 µm. Two mirrors direct the beam towards the focusing lens, a ULO Optics ZnSe cylindrical lens (50 mm focal length) which produces a 0.15 mm x 1.75 mm (measured using the knife-edge method [64]) elliptical spot on the fiber with its longer axis perpendicular to the fiber’s axis. One of the mirrors is a galvanometric mirror (Cambridge Technology 6860) which allows a scan over the lens (and, consequently, over the surface of the fiber).
A linear translation stage moves axially the fiber so the periodic refractive index change is accomplished. During the process, one of its ends is fixed and a weight (typically ~50 g ± 0.5 g) hangs on the other, thus creating a tension. Thus, this system acts like a XY writing system. The advantage of the translation stage is its long range with micrometric precision (10 cm with a repeatability of 1 µm). However, it has the disadvantage of having relative low speed when compared with a galvanometric system. Combining the two systems, we have the benefit of having a long X-axis range with a fast Y-axis range and, by moving the laser spot very fast over the fiber (Y-axis), lower interaction times can be achieved. Also, since the laser is not always over the fiber, it’s possible to have the laser emitting continuously, which prevents the transients during the laser start-up and allows easier control of its power. Uncertainties regarding the irradiation data are: power, ±0.5 W; duration, ±1 ms.
(a) Top and (b) lateral schematic views of the optical setup. BS – beam splitter; CL-cylindrical lens; GM – galvanometric mirror; M – mirror; OF – optical fiber; PM – power meter; TS – translation stage.
Picture of the setup implemented. The inset shows a detail view of the laser output area. BS – beam splitter; CL – cylindrical lens; GM – galvanometric mirror; L – laser; M – mirror; OF – optical fiber; PM – power meter; TS – translation stage.
To monitor the LPFG fabrication process, a broad band light source (Thorlabs S5FC1005S) and an OSA (Agilent 86140B) were used. The irradiated zones were analysed using an optical microscope (Zeiss AxioScope A1) with a maximum amplification of 1,000×. The LPFG period is limited by the laser spot size and by the translation stage minimum movement. In the considered setup, since the translation stage can have 1 µm steps, the laser spot size (150 µm) constitutes the major limitation.
An example of the temperature distribution resulting from considering 6 W laser power, irradiation duration of 0.6 s and 47 g weight (
Temperature distribution in the implemented 3D geometry for the laser irradiation of an optical fiber (
Figure 10 shows the equivalent plots of temperature with time for the irradiated front, core (middle) and the back surfaces (Figure 4), at x=y=0 m and x=500 µm, y=0 m. These plots show that the (spatial) proximity between shots raises the temperature even when they are not under direct irradiation. As the distance reduces (shorter LPFG periods), this secondary heating increases (Figure 11). This is particularly important when the second shot is applied because of the possibility of annealing, which could (totally or partially) relieve the previously induced internal stresses.
Similarly, as we analyse the temperature distribution at the fiber’s axial direction plotted in Figure 12(a) (for the same conditions of Figure 10), the superposition of thermally affected areas in both shots underlines one critical aspect when writing LPFGs: the influence of the grating’s period on the pitch width, and consequent “softening” of the spatial refractive index gradient. As it can be seen in Figure 12(b), as the period decreases, the interception’s x-coordinate values decreases and the temperature at that point increases.
The practical consequence of this behaviour it’s not clear at this time and further research is necessary, but these phenomena can be responsible by the reduction of the success rate in producing LPFGs with shorter periods found in other studies [65].
Plots of the temperature evolution during laser irradiation and cooling at (a) x=0 m and (b) x=Δx. (
Maximum temperature at
The importance of using the FEM simulation instead of the analytical equation (11) or the approximated integral equation (8) is observed in Figure 13 for the temperature at the core (middle). In fact, disregarding radiative and convective losses, adding to the important variation on the parameters values with temperature, deviates the solution by a significant amount (about 200 K at its maximum values, between each solution).
As expected, as the laser power increases, the temperature also increases. From the data obtained using the FEM model and plotted in Figure 14, a 3rd order polynomial can be used to relate these two parameters. Considering
(with the laser power,
For the considered example, at
(a) Plots of the temperature distribution at the fiber’s axial direction simulated for
Plots of the temperature evolution during laser irradiation and cooling obtained using
Maximum temperature calculated for different laser powers, at
\n\t\t\t | \n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t\t\n\t\t\t\t | \n\t\t
Front surface | \n\t\t\t1.21 | \n\t\t\t-26.64 | \n\t\t\t256.4 | \n\t\t\t295 | \n\t\t
Core, middle | \n\t\t\t1.06 | \n\t\t\t-22.91 | \n\t\t\t224.7 | \n\t\t\t302 | \n\t\t
Back surface | \n\t\t\t0.97 | \n\t\t\t-21.18 | \n\t\t\t212.8 | \n\t\t\t302 | \n\t\t
Coefficients for equation (22), depending on the analysis point being considered (Figure 4).
Another parameter to take in consideration is the draw force due to the weight applied on the fiber. Figure 16 shows the behaviour of the refractive index change with the applied force (and corresponding weight), considering
Calculated (maximum) refractive index change at the core and cladding for different applied laser powers. (
Calculated refractive index change (maximum change for core and cladding) for different applied draw tensions. (
A microscope photograph of an example of an irradiated fiber under the experimental conditions considered in this work is shown in Figure 17. The imaged zone comprises one 500 μm period of a 25 mm grating irradiated with 6 W, for a duration of 0.6 s (each pulse) and subjected to a weight of 47 g. It is also visible a (small) micrometric deformation of the fiber in each irradiated region. Figure 18 shows the spectral transmission of the written LPFG, comparing the experimental data with the simulated spectrum, obtained using the refractive index changes calculated by the FEM model and using the simulation tool developed by Baptista [59].
In spite the relative spectral transmission data agreement, the experimental work demonstrated that different operational parameters can influence the resulting LPFG. In particular, the way the weight is positioned and laser power fluctuations can easily change the final result. In general, the process involves monitoring the transmission spectrum and iterative action on the length of the LPFG so a well-defined resonance is obtained. In our setup, the feedback on the emitted laser power reduces the problem, but not completely.
Picture showing two irradiated zones from a 25 mm LPFG with 500 μm period written on a SMF-28 optical fiber. (
Experimentally obtained and simulated relative normalized spectral transmission under the same conditions considered in
Although theoretically we could simulate considering different laser powers and weights, experimentally it was observed that using lower laser powers (<5 W) no LPFGs were obtained. Also, using higher laser powers (>8 W) or higher weights (typically >60 g, F > 0.6 N) tapering occurs, a phenomena not included in our model.
The values obtained by the model are in agreement with those estimated by other authors for the refractive index modulations necessary for achieving a fiber optic grating. Temperatures calculated are similar to those obtained by other authors for arc-induced LPFG (e.g. in the range 1,100 K–1,400 K according to [56]) and the refractive index changes are within the overall range mentioned in other works [46,52,56]. Also, the behaviour of the refractive index change as the applied drawing force increases complies with recent experimental indications that the refractive index of the core decreases while the opposite occurs in the cladding, and that this change occurs primarily in the core [66,67].
Nevertheless, a complete model of the complex physical phenomena involved, in particular regarding the refractive index change dependence on stress, requires further research. It’s expected that future work will focus on experimental measurements of temperature, stresses and refractive index changes induced by the MIR laser radiation. Also, although published works can contribute in assessing the validity of the results, the influence of specific characteristics of the fibers is a well-recognized issue. In particular, the effect of pre-existing stresses (typically from the fiber manufacture or preparation), differences in the materials, or other unaccounted phenomena can influence the performance of the FEM model when compared with real data. Similarly, the impact of the several approximations considered (e.g., transverse stresses are neglected), unaccounted phenomena like eventual changes on the glass polarizability and using standard material data must be analysed in detail, as well as the influence of the experimental data uncertainties on the model.
In Summary, the CO2 laser irradiation technique is a highly efficient, low cost and versatile technique to write high-quality LPFGs in different types of optical fibers, such as conventional single mode fibers, polarization-maintaining fibers, and photonic crystal fibers. This technique offers a number of advantages over other fabrication techniques. It eliminates the need of using a mask as well as the need for pre-hydrogenation of the fiber and consequent post-thermal annealing to stabilize the gratings. The LPFGs induced by CO2 laser exhibits unique grating properties, such as high thermal stability.
Although simplifications can lead to analytical equations, FEM modelling allows more realistic simulations of the physical processes involved in the writing of LPFGs using MIR radiation. The 3D model presented simulates the writing of one period and allows the analysis of both thermal and stress data. All the main practical parameters are considered as inputs and thermal dependence of the material’s data is included.
The model performance was evaluated by considering a practical example of writing LPFGs on a Ge-doped fiber. Different analysis were presented and it was demonstrated that refractive index changes predicted by the FEM model led to transmission spectra with resonance peaks similar to those obtained experimentally. So, although additional work should be performed to further validate the analysis done (mainly regarding the characterization of stresses acting in the optical fiber and experimentally measuring refractive index changes), the FEM results are in accordance with literature and experimental data.
This work was partially supported by FEDER funding through the Programa Operacional Factores de Competitividade – COMPETE and by national funding by the FCT – Portuguese Fundação para a Ciência e Tecnologia through the project PTDC/FIS/119027/2010. The authors gratefully acknowledge José Luis Santos, Orlando Frazão, Pedro Jorge and Paulo Caldas from INESC-Porto for their advices and crucial contributions. A special thanks to David Castro Alves, Fernando Monteiro and António Oliveira for their support to the experimental activities described in this chapter.
Carotenoids are a class of natural pigments broadly distributed in nature and synthesized by plants, certain bacteria, fungi and algae. These molecules are classified in two main groups: carotenes, which are pure hydrocarbons (α−/β-carotenes and lycopene), and xanthophylls, which represent the oxygenated derivatives (lutein, zeaxanthin, astaxanthin, fucoxanthin and cryptoxanthin) [1]. These hydrocarbons are formed by eight five-carbon isoprenoid units with conjugated double bonds, responsible of multiple geometrical isomers (cis/trans), although carotenoids are mainly found in the most stable configuration, the all-trans one [2, 3]. These double bonds act as chromophores and are responsible for light absorption in the visual range of the spectrum [4], providing yellow, orange and red coloration [5]. Among the main biological properties described for carotenoids, they stand out for their antioxidant capacity and ability to quench singlet oxygen species [6]. Carotenoids have also been described to wield anti-inflammatory, antimicrobial and anti-hyperglycemic activities, to prevent cardiovascular and/or neurodegenerative diseases and to stimulate the immune system [7, 8]. These beneficial properties made them emerge as a promising alternative to synthetic additives, which have been related with negative side-effects. Besides, these pigments improve the nutritional value of foodstuff and can be used for food coloring. These reasons have boosted carotenoids’ market size, which is expected to reach $300 billion by 2024, due to the interest shown by food, animal feeding, pharmaceutical, nutraceutical and cosmetic industries [9].
Found primarily in microalgae species such as
Chemical structure of α-carotene and β-carotene.
Lycopene can be found in fruits and vegetables, especially in tomatoes (Figure 2), being the carotenoid with the highest antioxidant capacity. It has been seen that this pigment is involved in modulating many anti-inflammatory processes, and some authors have linked it with the prevention of bone diseases, such as osteoporosis [15]. Furthermore, lycopene also shown anticancer effects against several tumoral and normal cell lines, particularly prostate cancer cell lines (PrEC and PC-3), in
Chemical structure of lycopene.
Xanthophylls comprise oxidized derivatives of carotenoids, being broadly available in nature. These pigments are characterized for having yellow, orange or red coloration. Some of the most common xanthophylls present in nature include lutein, zeaxanthin, astaxanthin, β-cryptoxanthin and fucoxanthin (Figure 3) [6]. These compounds are polar molecules and, unlike non-polar carotenes, they get accumulated, contributing to skin pigmentation [1]. Antioxidant, neuroprotective, antiplasmodial or anticancer are some of the biological activities that pointed xanthophylls as a promising nutraceutical. These beneficial bioactivities may have preventive effects in an extensive variety of diseases such as oral, allergic, neurologic, ophthalmologic and immune affections [6]. Moreover, beneficial properties may be transferred to food. Hence, these characteristics have prompted the incorporation of xanthophylls as natural additives to obtain products with a better appearance according to the consumers’ standards [1, 19].
Chemical structure of a) lutein, b) zeaxanthin, c) astaxanthin, d) cryptoxanthin and e) fucoxanthin.
Lutein is a dihydroxy derivative of β-carotene with hydroxyl groups at both sides of the molecule (Figure 3a), converting it in a dipolar xanthophyll. This chemical configuration confers hydrophilic characteristics and improves its capacity to scavenge free radicals [6, 20]. The most common chemical configuration of lutein is acylated with different fatty acids [1], such as lauric (C12:0) or palmitic acid (C16:0), becoming mono- and diacylated derivatives [21]. Leafy vegetables and plants, flower petals and yellow and orange fruits are the most important sources of lutein. Its extraction is mainly carried out with organic solvents from flower petals that have been previously fermented and/or dried [1].
Zeaxanthin (Figure 3b) is a structural isomer of lutein with a darker yellow tone, closer to orange [20]. It is naturally found in leaves of green vegetables, flower petals, in some yellow and orange fruits, corn and even in microbial
Astaxanthin (Figure 3c) is a lipophilic carotenoid with a reddish-orange color [23]. This pigment is found in high concentrations in microalgae like
β-cryptoxanthin is a naturally occurring pigment mainly found in tropical fruit like papaya, highlighting its accumulation in citrus fruit such as oranges and tangerines [28]. This xanthophyll is closely related to β-carotene since, aside from being a vitamin A precursor, their structures are very similar, varying by just the addition of a hydroxyl group in one of the β-ionone rings in β-cryptoxanthin’s structure (Figure 3d), resulting in a bipolar conformation. These conformation makes its bioaccumulation easier, facilitating food coloring as well as being more nutritionally valuable, contributing to vitamin A production [29]. Moreover, β-cryptoxanthin intake has been associated with a reduced risk of inflammatory diseases, like polyarthritis or rheumatoid arthritis, by suppressing bone resorption and stimulated bone formation [30].
Fucoxanthin (Figure 3e) is mostly known for giving the characteristic brownish/olive-green color to brown algae (Phaeophyceae), as in species belonging to the genus
Generally, natural sources of carotenoids are divided into: i) fruits, vegetables and flowers; ii) microorganisms (microalgae, cyanobacteria, fungi, bacterial and yeasts); and iii) by-products (peels, seeds and skin).
There is a wide variety of fruits and vegetables recognized as natural sources of carotenoids in human diet. Besides, flowers, recently introduced in gastronomy, appeared to be a suitable source of carotenoids (Table 1). In general terms, the most relevant carotenoid found among these groups is β-carotene, although lutein, β-cryptoxanthin, lycopene and zeaxanthin are also highlighted as major carotenoids. Reviewed literature showed very different ranges of carotenoid concentrations depending on the analyzed tissue, variety, ripening stage, geographical origin, etc. [40, 41]. Nevertheless, Table 1 points to fruit as the most relevant source of carotenoids.
Source | Main Carotenoids | Carotenoid Content (mg/g) | Ref. | |
---|---|---|---|---|
Apricot | β-car, β-crypt, Lut, Zea | 0.07–0.08 (DW) | [42] | |
‘Gac’ oil | α−/β-Car, Lyc | 1.8–11 (FW) | [43, 44] | |
Goji | β-car, β-crypt, Zea | 0.04–0.51 (FW) | [45] | |
Kaki | β-car, β-crypt, Lut, Zea | 0.03–0.07 (DW) | [42] | |
Banana and plantain | α−/β-Car, Lut | 0.01–0.04 (DW) | [46, 47] | |
Mandarin juice | ζ−/ β-car, β-crypt | 0.01 (DW) | [41] | |
Mango | α−/β-Car, β-crypt, Lut, Zea | 3–129 (FW) | [40] | |
Orange | α−/ β−/ζ-car, β-crypt, Lut, Zea | 0.01–0.03 0.01–0.02 (DW) | [41, 48] | |
Papaya | β−/ζ-car, β-crypt, Lyc, Vio, Zea | 0.14–4.13 (FW) | [49, 50] | |
Peach | β-car, β-crypt, Lut, Zea | 0.04–0.09 (DW) | [42] | |
Broccoli | Lut, Neo | 8.5–11.6 (DW) | [51] | |
Carrot | α−/β-car, Lut, Lyc | 0.01–0.8 (DW)(TC’s) | [52, 53] | |
Kale | Zea | 1.6–2.5 (DW) | [54] | |
β-car | 0.10 (DW) | |||
Neo | 0.12 (DW) | |||
Lettuce | Lut | 0.1–0.13 (DW) | [55] | |
β-car | 2.2–2.9 (DW) | |||
Pea | Lut | 0.01–0.02 (DW) | [56] | |
β-car | 0.01–0.02 (DW) | |||
Pepper | β-car | 0.39–0.71 (DW) | [57] | |
Zea | 0.31–0.73 (DW) | |||
Spinach | Neo | 0.1–0.2 (FW) | [58] | |
Lut | 0.34–0.53 (FW) | |||
β-car | 0.2–0.32 (FW) | |||
Sweet corn | Lut | 0.02 (DW) | [59] | |
β-car | 0.01 (DW) | |||
Tomato | β-car | 0.01 (FW) | [60] | |
Lyc | 0.05–0.08 (FW) | |||
TCs | 0.04–0.2 (FW) | |||
Blue centaurea | β-car, Lut | 0.06 (DW) | [61] | |
Blue borage | β-car, Lut | 1.8 (DW) | ||
Camelia | β-car, Lut | 0.2 (DW) | ||
Xanthophylls | 0.001–0.003 (P) (DW) 0.04–0.07 (L) (DW) | [62] | ||
Marigold | Lut | 0.0002–0.006 (DW) | [63] | |
Nasturtium | Lut | 0.4–1.2 (DW) | [64] | |
Pansies | β-car, Lut, Zea | 0.2–1.1 (DW) | [61, 65] | |
Snapdragon | β-car, Lut, Zea | 0.03 (DW) | [65] |
Quantitative and qualitative analysis of carotenoids content in different species of fruits, vegetables, and flowers.
Abbreviations: DW: dry weight, FW: fresh weight, L: leaves, P: petals. Carotenoids: α−/β−/γ−/ζ-car: α−/β−/γ−/ζ-carotene, β-crypto: β-cryptoxanthin, lyc: lycopene, lut: lutein, neo: neoxanthin, TCs: total carotenoids content, vio: violaxanthin, zea: zeaxanthin.
Carotenoids extracted from fruits, vegetables and flowers become too expensive due to high production costs associated with large production areas required. Besides, the supply of carotenoids extracted from plants becomes unstable, since it is dependent on unpredictable climatologic conditions [66]. Therefore, more sustainable and green approaches have been explored for a more efficient carotenoids’ collection, including the use of microorganism or the reutilization of agricultural by-products
Nowadays, the interest on microbial carotenoids has increased because of their low production area requirements when compared to plants. Besides, microbial cultures are nearly independent of climatic conditions, seasonality and soil composition. Current technological advances permit a tight control of culturing conditions, which improves the efficiency of microbial carotenoid production and reduces costs. Examples of efficient production of carotenoids using microalgae, bacteria, yeasts or fungi are displayed in Table 2, that demonstrates the huge variability of microorganisms capable of producing specific types of carotenoids being the most relevant β-carotene, lutein, astaxanthin, canthaxanthin and torulene (Table 2).
Species | Most abundant Carotenoids | Content (mg/g) | Ref. | |
---|---|---|---|---|
β-car | 0.001–0.0045 (DW) | [67] | ||
Ast | 2–20 (DW) | [68] | ||
Ast | 6–19 (DW) | [69] | ||
Canthaxanthin | N.D | [70] | ||
Lut | 0.01 (DW) | [71] | ||
β-car | 1.50 (DW) | |||
Decaprenoxanthin and derivatives mono−/diglucosides; Lyc | 0.3–0.4 (DW) | [72] | ||
β-Car | 0.01–3.1 (CDW) | [73] | ||
Zea | 0.01–0.9 (CDW) | |||
Carotenoids, glucoside derivatives | 0.4–0.5 (DW) | [72] | ||
Zea; β-Crypto; β-Car; β-Zeacarotene | 0.5–0.6 (DW) | |||
Zea; β-Crypto; β-Car; β-Zeacarotene | 0.7–0.8 (DW) | |||
Carotenoids and glucoside derivatives | 0.7 (DW) | [72] | ||
Carotenoids and glucoside derivatives | 0.5 (DW) | [72] | ||
Fungi | β-car | 30 (DW) | [68] | |
Lyc | >900 (DW) | |||
β-car | 0.275–0.698 (DW) | [74] | ||
β-car | 0.05–10 (DM) | [68] | ||
Yeasts | Ast | 0.000725–0.007642 (DW) | [75, 76] | |
β-car | 0.0172 (DW) | [77] | ||
Torulene | 5–14 (DW) | [78, 79] | ||
Torularhodin | 32.2 (DW) | |||
Torulene | 18.2 (DW) | [79, 80] | ||
Torularhodin | 9.3 (DW) | |||
Torulene | 0.0001 (DW) | [79] | ||
Torularhodin | 0.00001 (DW) | |||
Ast | 0.0026–0.001 (DW) | [112] |
Quantitative and qualitative analysis of carotenoids content in different species microorganisms such as microalgae, bacteria, yeasts, filamentous fungi and cyanobacteria.
Abbreviations: DW: dry weight; CDW: cold-water-dispersible; N.D: not determined. Carotenoids: ast: astaxanthin, β-car: β-carotene, β-crypto: β-cryptoxanthin, lut: lutein, lyc: lycopene, TCs: total carotenoids content; zea: zeaxanthin.
Food waste has been increased in the last years driven by an increasing population, expected to reach 10 billion people by 2050, and inefficient and unsustainable production systems [81]. These factors boosted waste production, which is usually composted or burnt, emitting high amounts of CO2 to the atmosphere. To counteract this situation, multiple strategies have been explored in the last decades, such as the revalorization of wastes as source of biomolecules. In fact, peels, seeds, husks, pomace or pulp are recognized as alternative sources of compounds with diverse biological properties [82].
Table 3 collects information about potential agricultural and food by-products as sustainable sources of carotenoids.
By-product | Most abundant Carotenoids | Content (μg/g) | Ref. |
---|---|---|---|
Tucumã peels | β-car | 68–88 (FW) | [83] |
Peach palm peel | 71–75 (FW) | ||
Mandarin epicarp | β-car | 1397–1417 (DW) | [84] |
Melon peels | β-car | 67–915 (DW) | [85] |
β-crypto | 3–49 (DW) | ||
Atlantic shrimp cooked shell | Ast | 57.3–284.5 (DW) | [86] |
Grape canes | Lut; β-car | 0.3–2.4 (DW) | [87] |
Peels and pulp of persimmon | β-crypto | 6500–167,000 (DW) | [88] |
β-car | 6900–45,000 (DW) | ||
Pressed palm fibers | α-car | 142–305 (DW) | [89] |
β-car | 317–713 (DW) | ||
Mango peel | α−/β-car; crypto | 5600 (β-car) (DW) | [90] |
Skin and seeds of tomatoes | Lyc | 3.8–166.4 (DW) | [91] |
β-car | 0.6–26.4 (DW) | ||
Lut | 0.8–10.8 (DW) | ||
Carrot by-products | β-car | 230 (FW) | [92] |
Carrot juice processing waste | β-car | 240 (DW) | [93] |
Tomato peels and seeds | Lyc | 410 (P);28 (S) (FW) | [94] |
β-car | 31 (P); 5.2 (S) (FW) |
Quantitative and qualitative analysis of carotenoids content in different by-products derived from agricultural and food industries.
Abbreviations: P: peel; S: seeds. Carotenoids: ast: astaxanthin, α−/β-car: α−/β-carotene, β-crypto: β-cryptoxanthin, lut: lutein, lyc: lycopene. FW – Fresh weight, DW – Dry weight.
In the last decades, macroalgae have been pointed out as a promising source of carotenoids. These photosynthetic organisms contain high amounts of pigments involved in light absorption for nourishment. However, they also have a secondary role related with damage protection from UV exposition. The main xanthophylls found in macroalgae include fucoxanthin, lutein, or zeaxanthin, being fucoxanthin the most abundant one, while β-carotene stands out from carotenes (Table 4). The main advantage of using macroalgae, is that invasive species can be used as an alternative source of carotenoids.
Species | Most abundant Carotenoids | Content (mg/g) | Ref. |
---|---|---|---|
Fuco | 2.0–3.5 (DW) | [95] | |
Fuco | 0.4–6.4 (DW) | [96] | |
Fuco | 0.42 (DW) | [97] | |
Fuco, Lut | 5.2 (DW) 0.3 (DW) | [98] | |
1.4 (DW) 0.1 (DW) | |||
Fuco | 18.6 (DW) | [99] | |
β-car, lut, zea | 0.0029 (TCs, FW) | [100] | |
Lut | 0.3 (FW) | [101] | |
Fuco | 0.0084 (TCs, DW) | [102] |
Quantitative and qualitative analysis of carotenoids content in different macroalgae species.
Abbreviations: DW: dry weight, FW: fresh weight, β-car: β-carotene, fuco: fucoxanthin lut: lutein, TCs: total carotenoids content, zea: zeaxanthin.
In the last century, pigment extraction has been performed using solid–liquid extraction with different organic solvents. Extracts were later purified via semipreparative high-performance liquid chromatography (HPLC) [103] or clean up and separation columns using organic solvents such as hexane or dichloromethane [104]. The use of non-polar solvents for carotenoid extraction like petroleum ether or hexane has been linked with toxicity, having a negative impact in the environment in the long term. In addition, in the current legislation regarding the use of these solvents for the production of food ingredients is not allowed. For this reason, in the latest years, novel “greener” extraction processes have been developed for pigment recovery, including supercritical fluid extraction (SFE), pressurized liquid extraction (PLE), ultrasonic assisted extraction (UAE) and microwave assisted extraction (MAE) (Table 5). Implementing these techniques improved, among other things, extraction times, yields and solvent usage [105].
Source | Carotenoids | Conditions | Recovery (μg/g) | Ref. |
---|---|---|---|---|
SFE | ||||
β-car | CO2, 60 °C, 300 bar | 15,000 (DW) | [113] | |
α−/β-car, β-crypto, lyc, lut, zea | CO2 + EtOH, 30 MPa | 392 (TCs) | [108] | |
Carotenoids | CO2 + EtOH, 25°C, 20 min, 20 MPa | 47,000–53,000 | [109] | |
Lut | CO2, 65°C, 55 MPa | 3000 (DW) | [114] | |
Ast, β-car, lut, neo, zea | CO2 + 10% EtO, 25°C, 20 min, 20 Mpa | 73; 60, 436, 671, 90 | [115] | |
Tomato, apricot, peach, pumpkin (Fl, Pe), pepper (Fl, wastes) | β-car, lut, lyc | CO2/EtOH, 59°C, 30 min, 350 bar | 88–100% β-car | [116] |
PLE | ||||
Carrot by-products | β-car | EtOH 99%, 60–180°C, 5 min, 50 bar, 1–5 cycles of 2 min | 120–230 (FW) (soft soggy carrots) 80–190 (FW) (orange carrots) | [92] |
β-crypto, β-car, lut, zea | MeOH: THF 2:8 (v:v), 40 °C, 5 min, 103 bar | Kaki: β-crypto ≤29, lut ≤ 13, zea ≤ 18 Apricot: ≤48 (β-car) | [42] | |
Fucoxanthin | 90% EtOH, 110°C, 5 min, 1500 psi | 420 | [97] | |
β-car, zea | 125°C, 20 min, 10.5 MPa | Zea ≤14,000 β-car ≤8000 | [117] | |
UAE | ||||
Dark red tomato | Lyc | EtAc: tomato paste 8:1 (V/W), 86°C, 29 min | 89,000 | [118] |
MAE | ||||
Carrot juice wastes | β-car | Flaxseed oil: wastes 8:1 g/g, 165 W, 9.4 min | 775,000 | [93] |
Novel extraction techniques to efficiently recover carotenoids from natural sources.
Abbreviations: DW: dry weight, EtOH: ethanol, EtAc: ethyl acetate, Fl: flesh, FW: fresh weight, L: leaves, MeOH: methanol, Pe: peels, THF: tetrahydrofuran. Carotenoids: ast: astaxanthin, α−/β-car: β-carotene, β-crypto: β-cryptoxanthin, lyc: lycopene, lut: lutein, neo: neoxanthin, TCs: total carotenoids, zea: zeaxanthin.
Supercritical fluid extraction (SFE) emerged in 80s decade as a promising alternative to conventional organic extractions [106]. This is a process where a compound is separated from its matrix making use of the unique properties of supercritical fluids as solvents, being CO2 the most commonly used. Supercritical fluid technology applies pressures and temperatures above the critical point of the extracting solvent, leading to a balanced state between liquid and gas phases. This balance confers low viscosity, high diffusivity, enhanced solubility and no surface tension, facilitating mass transfer [107]. However, this process involves a high cost, due to high temperatures and pressures requirements. Moreover, CO2 only dissolves non-polar molecules, although using a co solvent overcomes this issue, being ethanol the most employed [108, 109].
As well as in SFE, pressurized liquid extraction (PLE), also called accelerated solvent extraction (ASE), makes use of high temperature and pressure, although along with a liquid solvent to accelerate the extraction of specific analytes from solid matrices. In this system, pressure is high enough to keep the solvent liquid without hampering extraction performance. However, extraction time, temperature, solvent type and volume have influence on extraction performance, especially temperature and solvent type. Temperature range is mostly comprised from 40 to 180°C and it has been seen that the use of
Ultrasonic assisted extraction (UAE) also emerged as a novel technique, which employs using ultrasonic waves that propagate causing the implosion of bubbles, phenomenon known as cavitation. This perturbation leads to a diffusion of the solute from the porous matrix to the solvent. Nowadays, UAE is used for extracting various compounds including carotenoids from a wide diversity of matrices, such as macroalgae, microalgae and plants. This technique is environment-friendly, simple, cheap and efficient, reporting high yields when compared to conventional techniques, although the reproducibility of the samples is jeopardized by equipment’s aging [111].
Microwave assisted extraction (MAE) is a relatively new extraction technique that combines microwave and traditional solvent extraction. Since the late 1980s, MAE has become one of the most popular and cost-effective extraction methods [112]. This technique is based on the application of microwaves for heating both solvents and matrices, increasing the kinetic of the extraction. Compared to conventional and novel (SFE and PLE) techniques, MAE reduced extraction time and solvent usage, leading to higher extraction rates and reduced costs [93].
Color is an important sensory attribute associated with safety and nutritional values of food, reason why, in the last years, consumer awareness regarding the use of synthetic food coloring has been increased. In order to develop a more natural food industry, natural pigment demand has raised, as is the case for carotenoids. These pigments are used for their coloring properties as well as for their antioxidant potential and biological functions. Carotenoids can be either applied directly into food matrices like beverages or pasta, among others [119, 120], or indirectly, into animal feeding to improve pigmentation of final products as in eggs or fish flesh [1, 29, 121]. Moreover, carotenoids have pointed out as promising ingredients in active packaging films. Their inclusion in protective films can improve the storing properties of the package, extending the shelf-life of the product, as well as transferring carotenoids’ nutritional values [122, 123]. Several applications of carotenoids in the food industry have been collected in Table 6.
Carotenoid | Origin | Application | Properties | Ref. |
---|---|---|---|---|
β-Carotene | Fruits & vegetables | Free and encapsulated | Yellow colorant and antioxidant | [120] |
Incorporated into polymer materials | Antioxidant, O2 and light barrier | [123] | ||
α-Carotene | Free and encapsulated | Yellow colorant, anti-carcinogenic and antioxidant | [120, 124] | |
α-Tocopherol | High fat vegetables | Incorporated into polymer materials | Antioxidant | [123] |
Astaxanthin | Marigold flower | Incorporated into packaging material | Fish feeding for antioxidation and flesh coloring | [125] |
Bixin | Annatto seeds | Incorporated into polymer materials | Antioxidant, O2 and light barrier | [123] |
Canthaxanthin | Mushrooms | Alginate-pectin microencapsulation | Red colorant and antioxidant | [126] |
Cryptoxanthin | Mandarin, papaya, orange | Free and encapsulated | Orange colorant and antioxidant | [120] |
Lutein | Green vegetables | Encapsulation in food | Eye protection against AMD development or cataracts. Anticancer | [124] |
Lycopene | Tomato, watermelon, pink grapefruit, guava | Free and encapsulated | Red colorant, eye UV-protection, antioxidant | [120, 123, 124] |
Incorporated into polymer materials | Antioxidant, O2 and light barrier | |||
Zeaxanthin | Mandarin, papaya, orange | Orange colorant | Eye protection against macular degeneration and cataracts | [120, 124] |
Carotenoids applications in food industry.
Since the late 1980s, carotenoids implementation into food has significantly increased. Among all, β-carotene is the most applied one, being used for coloring oils and butters, providing a yellowish color. In addition, it has been also used to fortify different food matrices for its provitamin A activity [127]. Apart from β-carotene, other carotenoids have been incorporated as free molecules into food matrices (Table 6). However, the direct application of these natural pigments is limited by their low stability, so micro- and nanoencapsulation technologies have been applied. Multiple encapsulation technologies including spray or freeze drying, emulsion, spray chilling, extrusion coating, liposome entrapment, coacervation and ionic gelation [128] have been applied to improve solubility, chemical stability and bioavailability of pigments, as well as for masking unpleasant organoleptic properties [129]. Most of these technologies have been applied to encapsulate carotenoids, generally on a nanometric scale (≤100 nm). The type of encapsulation materials used for food applications have to be food-graded biopolymers such carbohydrates or gums (Persian gum), proteins (gelatin or whey), and animal or vegetal lipids [22, 26, 130]. Emulsion is also a prominent encapsulation processes, which results in an improved bio accessibility and bioavailability [131]. Lutein emulsions, β-carotene oil-in-water emulsions or microcapsules containing lycopene are just some examples of microencapsulation found in the food industry to improve the stability, bio accessibility and bioavailability of these pigments [129, 132, 133]. Similarly, multiple studies support carotenoids’ nanoencapsulation [134, 135].
A different way to incorporate natural pigments in human food is through animal feeding. By doing so, pigments get incorporated in foodstuff such as in fish flesh or eggs, giving a characteristic pigmentation and an increased nutritional value that will be further transferred to humans or animals [121, 136]. One of the main industries where carotenoids have been implemented is aquaculture. Fish factories have been making use of pigments such as β-carotene as an important source of provitamin A, which has been shown to improve the antioxidant capacity and immune system of fish, enhancing growth and preventing lipid peroxidation [137]. In fact, in aquaculture, different biological sources of xanthophylls such as green microalgae, yeast, krill, or crab waste have been utilized as feeding supplements. This complementary pigmentation enhances the nutritional value of fish products by providing strong antioxidant activity and higher amounts of provitamin A [1]. Other industry where pigments are widely use is poultry. EU approved egg yolk and poultry tissues pigmentations with yellow and red carotenoids, including lutein, zeaxanthin, β-cryptoxanthin, violaxanthin and capsanthin [136].
Natural pigments can also be incorporated into packaging materials to improve food preservation. Carotenoids such as lycopene or β-carotene prevent color alterations due to oxidation processes and UV-induced damage, providing stability to packaging polymers [123]. Besides, pigment migration from active packaging into food matrices has been reported, transferring the beneficial properties. As could be seen in Table 6, several carotenoids such have been included in active packaging, achieving promising results.
Synthetic pigments have been frequently used as food additives to improve food appearance since colorful products have been associated with healthy and high-quality properties by consumers. However, tendency has slowly shifted towards a stronger presence of natural ingredients due to a raising concern about the negative side effects associated with synthetic molecules. In this context, carotenoids have come up as an attractive replacement of synthetic pigments, being found in multiple sources, like plants, algae, fungi, microorganisms and by-products. Moreover, carotenoids have been linked with diverse beneficial properties, such as antioxidant, prevention of degenerative diseases, cancer and stimulation of the immune system. For all these reasons, carotenoids have caught the attention of many industries, including food, nutraceutical and cosmetic industries.
In order to extract these pigments, novel technologies emerged to improve the extraction rates of traditional techniques, mostly based on maceration. Among these new strategies, SFE and PLE highlight. Equipment may result into an initial economic expense, but they offer satisfactory extraction rates while minimizing solvent usage and experimental times.
Regarding food industry, carotenoids have been widely used for their application into food matrices or as part of packaging materials. Their inclusion as food additives or feed supplements for animals is the most extended and explored application, improving the organoleptic properties and nutritional values, aiming for a higher commercial acceptance. Besides, carotenoids have also been used as ingredients for active packaging films to extend products’ shelf-life. Regardless the matrix of inclusion, natural carotenoids have been incorporated as free molecules or encapsulated. This last strategy prolongs the stability and bio accessibility of carotenoids, protecting core ingredients from chemical degradation.
Furthermore, due to their extensive bioactivities, carotenoids are very useful to formulate new cosmetic ingredients. Besides, its antioxidant properties that can benefit the skin and promote skin regeneration and healthy aging, carotenoids also mitigate the harmful effects of UV radiation, which makes them excellent candidates for their application in cosmetic formulations as preservatives with photoprotective, antioxidant and anti-aging properties.
The research leading to these results was funded by Xunta de Galicia supporting the Axudas Conecta Peme, the IN852A 2018/58 NeuroFood Project and the program EXCELENCIA-ED431F 2020/12; to Ibero-American Program on Science and Technology (CYTED—AQUA-CIBUS, P317RT0003) and to the Bio Based Industries Joint Undertaking (JU) under grant agreement No 888003 UP4HEALTH Project (H2020-BBI-JTI-2019). The JU receives support from the European Union’s Horizon 2020 research and innovation program and the Bio Based Industries Consortium. The project SYSTEMIC Knowledge hub on Nutrition and Food Security, has received funding from national research funding parties in Belgium (FWO), France (INRA), Germany (BLE), Italy (MIPAAF), Latvia (IZM), Norway (RCN), Portugal (FCT), and Spain (AEI) in a joint action of JPI HDHL, JPI-OCEANS and FACCE-JPI launched in 2019 under the ERA-NET ERA-HDHL (n° 696295).
The research leading to these results was supported by MICINN supporting the Ramón y Cajal grant for M.A. Prieto (RYC-2017-22891) and the FPU grant for Anxo Carreira Casais (FPU2016/06135); by Xunta de Galicia for supporting the post-doctoral grant of M. Fraga-Corral (ED481B-2019/096), the pre-doctoral grants of P. García-Oliveira (ED481A-2019/295), and by UP4HEALTH Project that supports the work of P. Otero and C. Lourenço-Lopes.
The authors declare no conflict of interest.
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Moreover, the cost of mass production should be minimized as much as possible. To meet part of that request, the antennas of these devices should have small size, lower weight, operating in multiple frequency bands and/or be broadband. There are many research methods to achieve this goal, one of which is using the fractal geometries for the shape of antenna elements. In recent years, there are many fractal shapes that have been proposed for such applications, and the designed antennas have significantly improved antenna features such as smaller size, operating in multi-frequency bands, with improved power gain and efficiency. In recent years, the new approach for modern antenna the metamaterials, MTM, is adopted, and sometimes that based on the fractal geometry is adopted.",book:{id:"5804",slug:"fractal-analysis-applications-in-physics-engineering-and-technology",title:"Fractal Analysis",fullTitle:"Fractal Analysis - Applications in Physics, Engineering and Technology"},signatures:"Wojciech Jan Krzysztofik",authors:[{id:"198646",title:"Prof.",name:"Wojciech",middleName:"Jan",surname:"Krzysztofik",slug:"wojciech-krzysztofik",fullName:"Wojciech Krzysztofik"}]},{id:"53920",doi:"10.5772/67216",title:"Integral-Equation Formulations of Plasmonic Problems in the Visible Spectrum and Beyond",slug:"integral-equation-formulations-of-plasmonic-problems-in-the-visible-spectrum-and-beyond",totalDownloads:1790,totalCrossrefCites:12,totalDimensionsCites:13,abstract:"Computational modeling of nano-plasmonic structures is essential to understand their electrodynamic responses before experimental efforts in measurement setups. Similar to the other ranges of the electromagnetic spectrum, there are alternative methods for the numerical analysis of nano-plasmonic problems, while the optics literature is dominated by differential equations that require discretizations of the host media with artificial truncations. These approaches often need serious assumptions, such as periodicity, infinity, or self-similarity, in order to reduce the computational load. On the other hand, surface integral equations based on integro-differential operators can bring important advantages for accurate and efficient modeling of nano-plasmonic problems with arbitrary geometries. Electrical properties of materials, which may be obtained either experimentally or via physical modeling, can easily be inserted into integral-equation formulations, leading to accurate predictions of electromagnetic responses of complex structures. This chapter presents the implementation of such accurate, efficient, and reliable solvers based on appropriate combinations of surface integral equations, discretizations, numerical integrations, fast algorithms, and iterative techniques. 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It is shown how to resolve the fractal structure of various complex systems from experimental scattering measurements, and how obtained data are related to specific features of the fractal models. We present and discuss various mass and surface fractal structures, including fractals generated from iterated function systems and cellular automata. 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In this chapter, only very limited techniques for solving ordinary differential and partial differential equations are discussed, as it is impossible to cover all the available techniques even in a book form. The readers are then suggested to pursue further studies on this issue if necessary. 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As a traditional example, a fractal dimension of a spatial fractal structure may be quantified via a box-counting fractal analysis that probes a manner in which the structure fills space. However, such spatial analyses generally are not well-suited for the analysis of so-called “time-series” fractals, which may exhibit exact or statistical self-affinity but which inherently lack well-defined spatial characteristics. In this chapter, we introduce and investigate a variety of fractal analysis techniques directed to time-series structures. We investigate the fidelity of such techniques by applying each technique to sets of computer-generated time-series data sets with well-defined fractal characteristics. Additionally, we investigate the inherent challenges in quantifying fractal characteristics (and indeed of verifying the presence of such fractal characteristics) in time-series traces modeled to resemble physical data sets.",book:{id:"7293",slug:"fractal-analysis",title:"Fractal Analysis",fullTitle:"Fractal Analysis"},signatures:"Ian Pilgrim and Richard P. Taylor",authors:[{id:"262574",title:"Ph.D.",name:"Ian",middleName:null,surname:"Pilgrim",slug:"ian-pilgrim",fullName:"Ian Pilgrim"},{id:"262816",title:"Prof.",name:"Richard",middleName:null,surname:"Taylor",slug:"richard-taylor",fullName:"Richard Taylor"}]},{id:"64807",title:"Fractal Antennas for Wearable Applications",slug:"fractal-antennas-for-wearable-applications",totalDownloads:1408,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"This chapter focuses on the design and fabrication of different types of flexible and inflexible wearable fractal for modern wireless applications with body-area-networks (BANs). A wearable antenna is intended to be a part of clothing used for modern wireless communication purposes. Fractal technology allowed us to design compact antennas and integrate multiple communication services into one device. The proposed antennas were simulated and measured by CST simulator version 2017 and Agilent N9918A VNA respectively. Furthermore, these antennas were fabricated using folded copper. The measured results agree well with the simulated results.",book:{id:"7293",slug:"fractal-analysis",title:"Fractal Analysis",fullTitle:"Fractal Analysis"},signatures:"Mohamed I. Ahmed and Mai F. Ahmed",authors:[{id:"261304",title:"Dr.",name:"Mohamed Ismail",middleName:null,surname:"Ahmed",slug:"mohamed-ismail-ahmed",fullName:"Mohamed Ismail Ahmed"},{id:"272048",title:"Dr.",name:"M. F.",middleName:null,surname:"Ahmed",slug:"m.-f.-ahmed",fullName:"M. F. Ahmed"}]},{id:"67141",title:"A Review on Fractional Differential Equations and a Numerical Method to Solve Some Boundary Value Problems",slug:"a-review-on-fractional-differential-equations-and-a-numerical-method-to-solve-some-boundary-value-pr",totalDownloads:1904,totalCrossrefCites:2,totalDimensionsCites:4,abstract:"Fractional differential equations can describe the dynamics of several complex and nonlocal systems with memory. They arise in many scientific and engineering areas such as physics, chemistry, biology, biophysics, economics, control theory, signal and image processing, etc. Particularly, nonlinear systems describing different phenomena can be modeled with fractional derivatives. Chaotic behavior has also been reported in some fractional models. There exist theoretical results related to existence and uniqueness of solutions to initial and boundary value problems with fractional differential equations; for the nonlinear case, there are still few of them. In this work we will present a summary of the different definitions of fractional derivatives and show models where they appear, including simple nonlinear systems with chaos. Existing results on the solvability of classical fractional differential equations and numerical approaches are summarized. Finally, we propose a numerical scheme to approximate the solution to linear fractional initial value problems and boundary value problems.",book:{id:"7662",slug:"nonlinear-systems-theoretical-aspects-and-recent-applications",title:"Nonlinear Systems",fullTitle:"Nonlinear Systems -Theoretical Aspects and Recent Applications"},signatures:"María I. Troparevsky, Silvia A. Seminara and Marcela A. Fabio",authors:[{id:"296689",title:"Dr.",name:"Maria Ines",middleName:null,surname:"Troparevsky",slug:"maria-ines-troparevsky",fullName:"Maria Ines Troparevsky"},{id:"296690",title:"Prof.",name:"Silvia Alejandra",middleName:null,surname:"Seminara",slug:"silvia-alejandra-seminara",fullName:"Silvia Alejandra Seminara"},{id:"296691",title:"Prof.",name:"Marcela Antonieta",middleName:null,surname:"Fabio",slug:"marcela-antonieta-fabio",fullName:"Marcela Antonieta Fabio"}]},{id:"54899",title:"Fractals in Antennas and Metamaterials Applications",slug:"fractals-in-antennas-and-metamaterials-applications",totalDownloads:2341,totalCrossrefCites:12,totalDimensionsCites:14,abstract:"Recently, telecommunication systems have been requiring more advanced features in the design and operation. Among others a smaller size of devices, which can be integrated for multiple mobile communication systems, applied in one user’s device board, such as PDA or smart phone. Moreover, the cost of mass production should be minimized as much as possible. To meet part of that request, the antennas of these devices should have small size, lower weight, operating in multiple frequency bands and/or be broadband. There are many research methods to achieve this goal, one of which is using the fractal geometries for the shape of antenna elements. In recent years, there are many fractal shapes that have been proposed for such applications, and the designed antennas have significantly improved antenna features such as smaller size, operating in multi-frequency bands, with improved power gain and efficiency. In recent years, the new approach for modern antenna the metamaterials, MTM, is adopted, and sometimes that based on the fractal geometry is adopted.",book:{id:"5804",slug:"fractal-analysis-applications-in-physics-engineering-and-technology",title:"Fractal Analysis",fullTitle:"Fractal Analysis - Applications in Physics, Engineering and Technology"},signatures:"Wojciech Jan Krzysztofik",authors:[{id:"198646",title:"Prof.",name:"Wojciech",middleName:"Jan",surname:"Krzysztofik",slug:"wojciech-krzysztofik",fullName:"Wojciech Krzysztofik"}]}],onlineFirstChaptersFilter:{topicId:"966",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:0,limit:8,total:null},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:90,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:104,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:32,numberOfPublishedChapters:320,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:13,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:141,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:133,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:114,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:107,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:7,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:17,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}},{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:"7",title:"Biomedical Engineering",doi:"10.5772/intechopen.71985",issn:"2631-5343",scope:"Biomedical Engineering is one of the fastest-growing interdisciplinary branches of science and industry. The combination of electronics and computer science with biology and medicine has improved patient diagnosis, reduced rehabilitation time, and helped to facilitate a better quality of life. Nowadays, all medical imaging devices, medical instruments, or new laboratory techniques result from the cooperation of specialists in various fields. The series of Biomedical Engineering books covers such areas of knowledge as chemistry, physics, electronics, medicine, and biology. This series is intended for doctors, engineers, and scientists involved in biomedical engineering or those wanting to start working in this field.",coverUrl:"https://cdn.intechopen.com/series/covers/7.jpg",latestPublicationDate:"June 25th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:12,editor:{id:"50150",title:"Prof.",name:"Robert",middleName:null,surname:"Koprowski",slug:"robert-koprowski",fullName:"Robert Koprowski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYTYNQA4/Profile_Picture_1630478535317",biography:"Robert Koprowski, MD (1997), PhD (2003), Habilitation (2015), is an employee of the University of Silesia, Poland, Institute of Computer Science, Department of Biomedical Computer Systems. For 20 years, he has studied the analysis and processing of biomedical images, emphasizing the full automation of measurement for a large inter-individual variability of patients. Dr. Koprowski has authored more than a hundred research papers with dozens in impact factor (IF) journals and has authored or co-authored six books. Additionally, he is the author of several national and international patents in the field of biomedical devices and imaging. Since 2011, he has been a reviewer of grants and projects (including EU projects) in biomedical engineering.",institutionString:null,institution:{name:"University of Silesia",institutionURL:null,country:{name:"Poland"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:3,paginationItems:[{id:"7",title:"Bioinformatics and Medical Informatics",coverUrl:"https://cdn.intechopen.com/series_topics/covers/7.jpg",isOpenForSubmission:!0,annualVolume:11403,editor:{id:"351533",title:"Dr.",name:"Slawomir",middleName:null,surname:"Wilczynski",slug:"slawomir-wilczynski",fullName:"Slawomir Wilczynski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000035U1loQAC/Profile_Picture_1630074514792",biography:"Professor Sławomir Wilczyński, Head of the Chair of Department of Basic Biomedical Sciences, Faculty of Pharmaceutical Sciences, Medical University of Silesia in Katowice, Poland. His research interests are focused on modern imaging methods used in medicine and pharmacy, including in particular hyperspectral imaging, dynamic thermovision analysis, high-resolution ultrasound, as well as other techniques such as EPR, NMR and hemispheric directional reflectance. Author of over 100 scientific works, patents and industrial designs. Expert of the Polish National Center for Research and Development, Member of the Investment Committee in the Bridge Alfa NCBiR program, expert of the Polish Ministry of Funds and Regional Policy, Polish Medical Research Agency. Editor-in-chief of the journal in the field of aesthetic medicine and dermatology - Aesthetica.",institutionString:null,institution:{name:"Medical University of Silesia",institutionURL:null,country:{name:"Poland"}}},editorTwo:null,editorThree:null},{id:"8",title:"Bioinspired Technology and Biomechanics",coverUrl:"https://cdn.intechopen.com/series_topics/covers/8.jpg",isOpenForSubmission:!0,annualVolume:11404,editor:{id:"144937",title:"Prof.",name:"Adriano",middleName:"De Oliveira",surname:"Andrade",slug:"adriano-andrade",fullName:"Adriano Andrade",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRC8QQAW/Profile_Picture_1625219101815",biography:"Dr. Adriano de Oliveira Andrade graduated in Electrical Engineering at the Federal University of Goiás (Brazil) in 1997. He received his MSc and PhD in Biomedical Engineering respectively from the Federal University of Uberlândia (UFU, Brazil) in 2000 and from the University of Reading (UK) in 2005. He completed a one-year Post-Doctoral Fellowship awarded by the DFAIT (Foreign Affairs and International Trade Canada) at the Institute of Biomedical Engineering of the University of New Brunswick (Canada) in 2010. Currently, he is Professor in the Faculty of Electrical Engineering (UFU). He has authored and co-authored more than 200 peer-reviewed publications in Biomedical Engineering. He has been a researcher of The National Council for Scientific and Technological Development (CNPq-Brazil) since 2009. He has served as an ad-hoc consultant for CNPq, CAPES (Coordination for the Improvement of Higher Education Personnel), FINEP (Brazilian Innovation Agency), and other funding bodies on several occasions. He was the Secretary of the Brazilian Society of Biomedical Engineering (SBEB) from 2015 to 2016, President of SBEB (2017-2018) and Vice-President of SBEB (2019-2020). He was the head of the undergraduate program in Biomedical Engineering of the Federal University of Uberlândia (2015 - June/2019) and the head of the Centre for Innovation and Technology Assessment in Health (NIATS/UFU) since 2010. He is the head of the Postgraduate Program in Biomedical Engineering (UFU, July/2019 - to date). He was the secretary of the Parkinson's Disease Association of Uberlândia (2018-2019). Dr. Andrade's primary area of research is focused towards getting information from the neuromuscular system to understand its strategies of organization, adaptation and controlling in the context of motor neuron diseases. His research interests include Biomedical Signal Processing and Modelling, Assistive Technology, Rehabilitation Engineering, Neuroengineering and Parkinson's Disease.",institutionString:null,institution:{name:"Federal University of Uberlândia",institutionURL:null,country:{name:"Brazil"}}},editorTwo:null,editorThree:null},{id:"9",title:"Biotechnology - Biosensors, Biomaterials and Tissue Engineering",coverUrl:"https://cdn.intechopen.com/series_topics/covers/9.jpg",isOpenForSubmission:!0,annualVolume:11405,editor:{id:"126286",title:"Dr.",name:"Luis",middleName:"Jesús",surname:"Villarreal-Gómez",slug:"luis-villarreal-gomez",fullName:"Luis Villarreal-Gómez",profilePictureURL:"https://mts.intechopen.com/storage/users/126286/images/system/126286.jpg",biography:"Dr. Luis Villarreal is a research professor from the Facultad de Ciencias de la Ingeniería y Tecnología, Universidad Autónoma de Baja California, Tijuana, Baja California, México. Dr. Villarreal is the editor in chief and founder of the Revista de Ciencias Tecnológicas (RECIT) (https://recit.uabc.mx/) and is a member of several editorial and reviewer boards for numerous international journals. He has published more than thirty international papers and reviewed more than ninety-two manuscripts. His research interests include biomaterials, nanomaterials, bioengineering, biosensors, drug delivery systems, and tissue engineering.",institutionString:null,institution:{name:"Autonomous University of Baja California",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:45,paginationItems:[{id:"82135",title:"Carotenoids in Cassava (Manihot esculenta Crantz)",doi:"10.5772/intechopen.105210",signatures:"Lovina I. Udoh, Josephine U. Agogbua, Eberechi R. Keyagha and Itorobong I. 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Serves as a peer reviewer for biomedical journals. Military Reserve Officer serving with the 100 Support Command, 100 Troop Command, 40 Infantry Division, CA National Guard.",institutionString:null,institution:{name:"Loma Linda University",institutionURL:null,country:{name:"United States of America"}}}]},{type:"book",id:"6925",title:"Endoplasmic Reticulum",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/6925.jpg",slug:"endoplasmic-reticulum",publishedDate:"April 17th 2019",editedByType:"Edited by",bookSignature:"Angel Català",hash:"a9e90d2dbdbc46128dfe7dac9f87c6b4",volumeInSeries:2,fullTitle:"Endoplasmic Reticulum",editors:[{id:"196544",title:"Prof.",name:"Angel",middleName:null,surname:"Catala",slug:"angel-catala",fullName:"Angel Catala",profilePictureURL:"https://mts.intechopen.com/storage/users/196544/images/system/196544.jpg",biography:"Angel Catalá studied chemistry at Universidad Nacional de La Plata, Argentina, where he received a Ph.D. in Chemistry (Biological Branch) in 1965. From 1964 to 1974, he worked as an Assistant in Biochemistry at the School of Medicine at the same university. From 1974 to 1976, he was a fellow of the National Institutes of Health (NIH) at the University of Connecticut, Health Center, USA. From 1985 to 2004, he served as a Full Professor of Biochemistry at the Universidad Nacional de La Plata. He is a member of the National Research Council (CONICET), Argentina, and the Argentine Society for Biochemistry and Molecular Biology (SAIB). His laboratory has been interested for many years in the lipid peroxidation of biological membranes from various tissues and different species. Dr. Catalá has directed twelve doctoral theses, published more than 100 papers in peer-reviewed journals, several chapters in books, and edited twelve books. He received awards at the 40th International Conference Biochemistry of Lipids 1999 in Dijon, France. He is the winner of the Bimbo Pan-American Nutrition, Food Science and Technology Award 2006 and 2012, South America, Human Nutrition, Professional Category. In 2006, he won the Bernardo Houssay award in pharmacology, in recognition of his meritorious works of research. Dr. Catalá belongs to the editorial board of several journals including Journal of Lipids; International Review of Biophysical Chemistry; Frontiers in Membrane Physiology and Biophysics; World Journal of Experimental Medicine and Biochemistry Research International; World Journal of Biological Chemistry, Diabetes, and the Pancreas; International Journal of Chronic Diseases & Therapy; and International Journal of Nutrition. He is the co-editor of The Open Biology Journal and associate editor for Oxidative Medicine and Cellular Longevity.",institutionString:"Universidad Nacional de La Plata",institution:{name:"National University of La Plata",institutionURL:null,country:{name:"Argentina"}}}]},{type:"book",id:"6924",title:"Adenosine Triphosphate in Health and Disease",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/6924.jpg",slug:"adenosine-triphosphate-in-health-and-disease",publishedDate:"April 24th 2019",editedByType:"Edited by",bookSignature:"Gyula Mozsik",hash:"04106c232a3c68fec07ba7cf00d2522d",volumeInSeries:3,fullTitle:"Adenosine Triphosphate in Health and Disease",editors:[{id:"58390",title:"Dr.",name:"Gyula",middleName:null,surname:"Mozsik",slug:"gyula-mozsik",fullName:"Gyula Mozsik",profilePictureURL:"https://mts.intechopen.com/storage/users/58390/images/system/58390.png",biography:"Gyula Mózsik MD, Ph.D., ScD (med), is an emeritus professor of Medicine at the First Department of Medicine, Univesity of Pécs, Hungary. He was head of this department from 1993 to 2003. His specializations are medicine, gastroenterology, clinical pharmacology, clinical nutrition, and dietetics. His research fields are biochemical pharmacological examinations in the human gastrointestinal (GI) mucosa, mechanisms of retinoids, drugs, capsaicin-sensitive afferent nerves, and innovative pharmacological, pharmaceutical, and nutritional (dietary) research in humans. He has published about 360 peer-reviewed papers, 197 book chapters, 692 abstracts, 19 monographs, and has edited 37 books. He has given about 1120 regular and review lectures. He has organized thirty-eight national and international congresses and symposia. He is the founder of the International Conference on Ulcer Research (ICUR); International Union of Pharmacology, Gastrointestinal Section (IUPHAR-GI); Brain-Gut Society symposiums, and gastrointestinal cytoprotective symposiums. He received the Andre Robert Award from IUPHAR-GI in 2014. Fifteen of his students have been appointed as full professors in Egypt, Cuba, and Hungary.",institutionString:"University of Pécs",institution:{name:"University of Pecs",institutionURL:null,country:{name:"Hungary"}}}]},{type:"book",id:"8008",title:"Antioxidants",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/8008.jpg",slug:"antioxidants",publishedDate:"November 6th 2019",editedByType:"Edited by",bookSignature:"Emad Shalaby",hash:"76361b4061e830906267933c1c670027",volumeInSeries:5,fullTitle:"Antioxidants",editors:[{id:"63600",title:"Prof.",name:"Emad",middleName:null,surname:"Shalaby",slug:"emad-shalaby",fullName:"Emad Shalaby",profilePictureURL:"https://mts.intechopen.com/storage/users/63600/images/system/63600.png",biography:"Dr. Emad Shalaby is a professor of biochemistry on the Biochemistry Department Faculty of Agriculture, Cairo University. He\nreceived a short-term scholarship to carry out his post-doctoral\nstudies abroad, from Japan International Cooperation Agency\n(JICA), in coordination with the Egyptian government. Dr.\nShalaby speaks fluent English and his native Arabic. He has 77\ninternationally published research papers, has attended 15 international conferences, and has contributed to 18 international books and chapters.\nDr. Shalaby works as a reviewer on over one hundred international journals and is\non the editorial board of more than twenty-five international journals. 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After almost 32 years of teaching at the University of Trás-os-Montes and Alto Douro, she recently moved to the University of Évora, Department of Veterinary Medicine, where she teaches in the field of Animal Reproduction and Clinics. Her primary research areas include the molecular markers of the endometrial cycle and the embryo–maternal interaction, including oxidative stress and the reproductive physiology and disorders of sexual development, besides the molecular determinants of male and female fertility. She often supervises students preparing their master's or doctoral theses. She is also a frequent referee for various journals.",institutionString:null,institution:{name:"University of Évora",country:{name:"Portugal"}}},{id:"283019",title:"Dr.",name:"Oudessa",middleName:null,surname:"Kerro Dego",slug:"oudessa-kerro-dego",fullName:"Oudessa Kerro Dego",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/283019/images/system/283019.png",biography:"Dr. Kerro Dego is a veterinary microbiologist with training in veterinary medicine, microbiology, and anatomic pathology. Dr. Kerro Dego is an assistant professor of dairy health in the department of animal science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. He received his D.V.M. (1997), M.S. (2002), and Ph.D. (2008) degrees in Veterinary Medicine, Animal Pathology and Veterinary Microbiology from College of Veterinary Medicine, Addis Ababa University, Ethiopia; College of Veterinary Medicine, Utrecht University, the Netherlands and Western College of Veterinary Medicine, University of Saskatchewan, Canada respectively. He did his Postdoctoral training in microbial pathogenesis (2009 - 2015) in the Department of Animal Science, the University of Tennessee, Institute of Agriculture, Knoxville, Tennessee. Dr. Kerro Dego’s research focuses on the prevention and control of infectious diseases of farm animals, particularly mastitis, improving dairy food safety, and mitigation of antimicrobial resistance. Dr. Kerro Dego has extensive experience in studying the pathogenesis of bacterial infections, identification of virulence factors, and vaccine development and efficacy testing against major bacterial mastitis pathogens. Dr. Kerro Dego conducted numerous controlled experimental and field vaccine efficacy studies, vaccination, and evaluation of immunological responses in several species of animals, including rodents (mice) and large animals (bovine and ovine).",institutionString:"University of Tennessee at Knoxville",institution:{name:"University of Tennessee at Knoxville",country:{name:"United States of America"}}},{id:"251314",title:"Dr.",name:"Juan Carlos",middleName:null,surname:"Gardón",slug:"juan-carlos-gardon",fullName:"Juan Carlos Gardón",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/251314/images/system/251314.jpeg",biography:"Juan Carlos Gardón Poggi received University degree from the Faculty of Agrarian Science in Argentina, in 1983. Also he received Masters Degree and PhD from Córdoba University, Spain. He is currently a Professor at the Catholic University of Valencia San Vicente Mártir, at the Department of Medicine and Animal Surgery. He teaches diverse courses in the field of Animal Reproduction and he is the Director of the Veterinary Farm. He also participates in academic postgraduate activities at the Veterinary Faculty of Murcia University, Spain. His research areas include animal physiology, physiology and biotechnology of reproduction either in males or females, the study of gametes under in vitro conditions and the use of ultrasound as a complement to physiological studies and development of applied biotechnologies. Routinely, he supervises students preparing their doctoral, master thesis or final degree projects.",institutionString:"Catholic University of Valencia San Vicente Mártir, Spain",institution:{name:"Valencia Catholic University Saint Vincent Martyr",country:{name:"Spain"}}},{id:"125292",title:"Dr.",name:"Katy",middleName:null,surname:"Satué Ambrojo",slug:"katy-satue-ambrojo",fullName:"Katy Satué Ambrojo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/125292/images/system/125292.jpeg",biography:"Katy Satué Ambrojo received her Veterinary Medicine degree, Master degree in Equine Technology and doctorate in Veterinary Medicine from the Faculty of Veterinary, CEU-Cardenal Herrera University in Valencia, Spain. She is a Full Professor at the Department of Medicine and Animal Surgery at the same University. She developed her research activity in the field of Endocrinology, Hematology, Biochemistry and Immunology of horses. She is a scientific reviewer of several international journals : American Journal of Obstetrics and Gynecology, Comparative Clinical Pathology, Veterinary Clinical Pathology, Journal of Equine Veterinary Science, Reproduction in Domestic Animals, Research Veterinary Science, Brazilian Journal of Medical and Biological Research, Livestock Production Science and Theriogenology. Since 2014, she has been the Head of the Clinical Analysis Laboratory of the Hospital Clínico Veterinario from the Faculty of Veterinary, CEU-Cardenal Herrera University.",institutionString:"CEU-Cardenal Herrera University",institution:{name:"CEU Cardinal Herrera University",country:{name:"Spain"}}},{id:"309529",title:"Dr.",name:"Albert",middleName:null,surname:"Rizvanov",slug:"albert-rizvanov",fullName:"Albert Rizvanov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/309529/images/9189_n.jpg",biography:'Albert A. Rizvanov is a Professor and Director of the Center for Precision and Regenerative Medicine at the Institute of Fundamental Medicine and Biology, Kazan Federal University (KFU), Russia. He is the Head of the Center of Excellence “Regenerative Medicine” and Vice-Director of Strategic Academic Unit \\"Translational 7P Medicine\\". Albert completed his Ph.D. at the University of Nevada, Reno, USA and Dr.Sci. at KFU. He is a corresponding member of the Tatarstan Academy of Sciences, Russian Federation. Albert is an author of more than 300 peer-reviewed journal articles and 22 patents. He has supervised 11 Ph.D. and 2 Dr.Sci. dissertations. Albert is the Head of the Dissertation Committee on Biochemistry, Microbiology, and Genetics at KFU.\nORCID https://orcid.org/0000-0002-9427-5739\nWebsite https://kpfu.ru/Albert.Rizvanov?p_lang=2',institutionString:"Kazan Federal University",institution:{name:"Kazan Federal University",country:{name:"Russia"}}},{id:"210551",title:"Dr.",name:"Arbab",middleName:null,surname:"Sikandar",slug:"arbab-sikandar",fullName:"Arbab Sikandar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/210551/images/system/210551.jpg",biography:"Dr. Arbab Sikandar, PhD, M. Phil, DVM was born on April 05, 1981. He is currently working at the College of Veterinary & Animal Sciences as an Assistant Professor. He previously worked as a lecturer at the same University. \nHe is a Member/Secretory of Ethics committee (No. CVAS-9377 dated 18-04-18), Member of the QEC committee CVAS, Jhang (Regr/Gen/69/873, dated 26-10-2017), Member, Board of studies of Department of Basic Sciences (No. CVAS. 2851 Dated. 12-04-13, and No. CVAS, 9024 dated 20/11/17), Member of Academic Committee, CVAS, Jhang (No. CVAS/2004, Dated, 25-08-12), Member of the technical committee (No. CVAS/ 4085, dated 20,03, 2010 till 2016).\n\nDr. Arbab Sikandar contributed in five days hands-on-training on Histopathology at the Department of Pathology, UVAS from 12-16 June 2017. He received a Certificate of appreciation for contributions for Popularization of Science and Technology in the Society on 17-11-15. He was the resource person in the lecture series- ‘scientific writing’ at the Department of Anatomy and Histology, UVAS, Lahore on 29th October 2015. He won a full fellowship as a principal candidate for the year 2015 in the field of Agriculture, EICA, Egypt with ref. to the Notification No. 12(11) ACS/Egypt/2014 from 10 July 2015 to 25th September 2015.; he received a grant of Rs. 55000/- as research incentives from Director, Advanced Studies and Research, UVAS, Lahore upon publications of research papers in IF Journals (DR/215, dated 19-5-2014.. He obtained his PhD by winning a HEC Pakistan indigenous Scholarship, ‘Ph.D. fellowship for 5000 scholars – Phase II’ (2av1-147), 17-6/HEC/HRD/IS-II/12, November 15, 2012. \n\nDr. Sikandar is a member of numerous societies: Registered Veterinary Medical Practitioner (life member) and Registered Veterinary Medical Faculty of Pakistan Veterinary Medical Council. The Registration code of PVMC is RVMP/4298 and RVMF/ 0102.; Life member of the University of Veterinary and Animal Sciences, Lahore, Alumni Association with S# 664, dated: 6-4-12. ; Member 'Vets Care Organization Pakistan” with Reference No. VCO-605-149, dated 05-04-06. :Member 'Vet Crescent” (Society of Animal Health and Production), UVAS, Lahore.",institutionString:"University of Veterinary & Animal Science",institution:{name:"University of Veterinary and Animal Sciences",country:{name:"Pakistan"}}},{id:"311663",title:"Dr.",name:"Prasanna",middleName:null,surname:"Pal",slug:"prasanna-pal",fullName:"Prasanna Pal",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/311663/images/13261_n.jpg",biography:null,institutionString:null,institution:{name:"National Dairy Research Institute",country:{name:"India"}}},{id:"202192",title:"Dr.",name:"Catrin",middleName:null,surname:"Rutland",slug:"catrin-rutland",fullName:"Catrin Rutland",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/202192/images/system/202192.png",biography:"Catrin Rutland is an Associate Professor of Anatomy and Developmental Genetics at the University of Nottingham, UK. She obtained a BSc from the University of Derby, England, a master’s degree from Technische Universität München, Germany, and a Ph.D. from the University of Nottingham. She undertook a post-doctoral research fellowship in the School of Medicine before accepting tenure in Veterinary Medicine and Science. Dr. Rutland also obtained an MMedSci (Medical Education) and a Postgraduate Certificate in Higher Education (PGCHE). She is the author of more than sixty peer-reviewed journal articles, twelve books/book chapters, and more than 100 research abstracts in cardiovascular biology and oncology. She is a board member of the European Association of Veterinary Anatomists, Fellow of the Anatomical Society, and Senior Fellow of the Higher Education Academy. Dr. Rutland has also written popular science books for the public. https://orcid.org/0000-0002-2009-4898. www.nottingham.ac.uk/vet/people/catrin.rutland",institutionString:null,institution:{name:"University of Nottingham",country:{name:"United Kingdom"}}},{id:"283315",title:"Prof.",name:"Samir",middleName:null,surname:"El-Gendy",slug:"samir-el-gendy",fullName:"Samir El-Gendy",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRduYQAS/Profile_Picture_1606215849748",biography:"Samir El-Gendy is a Professor of anatomy and embryology at the faculty of veterinary medicine, Alexandria University, Egypt. Samir obtained his PhD in veterinary science in 2007 from the faculty of veterinary medicine, Alexandria University and has been a professor since 2017. Samir is an author on 24 articles at Scopus and 12 articles within local journals and 2 books/book chapters. His research focuses on applied anatomy, imaging techniques and computed tomography. Samir worked as a member of different local projects on E-learning and he is a board member of the African Association of Veterinary Anatomists and of anatomy societies and as an associated author at local and international journals. Orcid: https://orcid.org/0000-0002-6180-389X",institutionString:null,institution:{name:"Alexandria University",country:{name:"Egypt"}}},{id:"246149",title:"Dr.",name:"Valentina",middleName:null,surname:"Kubale",slug:"valentina-kubale",fullName:"Valentina Kubale",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/246149/images/system/246149.jpg",biography:"Valentina Kubale is Associate Professor of Veterinary Medicine at the Veterinary Faculty, University of Ljubljana, Slovenia. Since graduating from the Veterinary faculty she obtained her PhD in 2007, performed collaboration with the Department of Pharmacology, University of Copenhagen, Denmark. She continued as a post-doctoral fellow at the University of Copenhagen with a Lundbeck foundation fellowship. She is the editor of three books and author/coauthor of 23 articles in peer-reviewed scientific journals, 16 book chapters, and 68 communications at scientific congresses. Since 2008 she has been the Editor Assistant for the Slovenian Veterinary Research journal. She is a member of Slovenian Biochemical Society, The Endocrine Society, European Association of Veterinary Anatomists and Society for Laboratory Animals, where she is board member.",institutionString:"University of Ljubljana",institution:{name:"University of Ljubljana",country:{name:"Slovenia"}}},{id:"258334",title:"Dr.",name:"Carlos Eduardo",middleName:null,surname:"Fonseca-Alves",slug:"carlos-eduardo-fonseca-alves",fullName:"Carlos Eduardo Fonseca-Alves",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/258334/images/system/258334.jpg",biography:"Dr. Fonseca-Alves earned his DVM from Federal University of Goias – UFG in 2008. He completed an internship in small animal internal medicine at UPIS university in 2011, earned his MSc in 2013 and PhD in 2015 both in Veterinary Medicine at Sao Paulo State University – UNESP. Dr. Fonseca-Alves currently serves as an Assistant Professor at Paulista University – UNIP teaching small animal internal medicine.",institutionString:null,institution:{name:"Universidade Paulista",country:{name:"Brazil"}}},{id:"245306",title:"Dr.",name:"María Luz",middleName:null,surname:"Garcia Pardo",slug:"maria-luz-garcia-pardo",fullName:"María Luz Garcia Pardo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/245306/images/system/245306.png",biography:"María de la Luz García Pardo is an agricultural engineer from Universitat Politècnica de València, Spain. She has a Ph.D. in Animal Genetics. Currently, she is a lecturer at the Agrofood Technology Department of Miguel Hernández University, Spain. Her research is focused on genetics and reproduction in rabbits. The major goal of her research is the genetics of litter size through novel methods such as selection by the environmental sensibility of litter size, with forays into the field of animal welfare by analysing the impact on the susceptibility to diseases and stress of the does. Details of her publications can be found at https://orcid.org/0000-0001-9504-8290.",institutionString:null,institution:{name:"Miguel Hernandez University",country:{name:"Spain"}}},{id:"350704",title:"M.Sc.",name:"Camila",middleName:"Silva Costa",surname:"Ferreira",slug:"camila-ferreira",fullName:"Camila Ferreira",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/350704/images/17280_n.jpg",biography:"Graduated in Veterinary Medicine at the Fluminense Federal University, specialist in Equine Reproduction at the Brazilian Veterinary Institute (IBVET) and Master in Clinical Veterinary Medicine and Animal Reproduction at the Fluminense Federal University. She has experience in analyzing zootechnical indices in dairy cattle and organizing events related to Veterinary Medicine through extension grants. I have experience in the field of diagnostic imaging and animal reproduction in veterinary medicine through monitoring and scientific initiation scholarships. I worked at the Equus Central Reproduction Equine located in Santo Antônio de Jesus – BA in the 2016/2017 breeding season. I am currently a doctoral student with a scholarship from CAPES of the Postgraduate Program in Veterinary Medicine (Pathology and Clinical Sciences) at the Federal Rural University of Rio de Janeiro (UFRRJ) with a research project with an emphasis on equine endometritis.",institutionString:null,institution:null},{id:"41319",title:"Prof.",name:"Lung-Kwang",middleName:null,surname:"Pan",slug:"lung-kwang-pan",fullName:"Lung-Kwang Pan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/41319/images/84_n.jpg",biography:null,institutionString:null,institution:null},{id:"201721",title:"Dr.",name:"Beatrice",middleName:null,surname:"Funiciello",slug:"beatrice-funiciello",fullName:"Beatrice Funiciello",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/201721/images/11089_n.jpg",biography:"Graduated from the University of Milan in 2011, my post-graduate education included CertAVP modules mainly on equines (dermatology and internal medicine) and a few on small animal (dermatology and anaesthesia) at the University of Liverpool. After a general CertAVP (2015) I gained the designated Certificate in Veterinary Dermatology (2017) after taking the synoptic examination and then applied for the RCVS ADvanced Practitioner status. After that, I completed the Postgraduate Diploma in Veterinary Professional Studies at the University of Liverpool (2018). My main area of work is cross-species veterinary dermatology.",institutionString:null,institution:null},{id:"291226",title:"Dr.",name:"Monica",middleName:null,surname:"Cassel",slug:"monica-cassel",fullName:"Monica Cassel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/291226/images/8232_n.jpg",biography:'Degree in Biological Sciences at the Federal University of Mato Grosso with scholarship for Scientific Initiation by FAPEMAT (2008/1) and CNPq (2008/2-2009/2): Project \\"Histological evidence of reproductive activity in lizards of the Manso region, Chapada dos Guimarães, Mato Grosso, Brazil\\". Master\\\'s degree in Ecology and Biodiversity Conservation at Federal University of Mato Grosso with a scholarship by CAPES/REUNI program: Project \\"Reproductive biology of Melanorivulus punctatus\\". PhD\\\'s degree in Science (Cell and Tissue Biology Area) \n at University of Sao Paulo with scholarship granted by FAPESP; Project \\"Development of morphofunctional changes in ovary of Astyanax altiparanae Garutti & Britski, 2000 (Teleostei, Characidae)\\". She has experience in Reproduction of vertebrates and Morphology, with emphasis in Cellular Biology and Histology. She is currently a teacher in the medium / technical level courses at IFMT-Alta Floresta, as well as in the Bachelor\\\'s degree in Animal Science and in the Bachelor\\\'s degree in Business.',institutionString:null,institution:null},{id:"442807",title:"Dr.",name:"Busani",middleName:null,surname:"Moyo",slug:"busani-moyo",fullName:"Busani Moyo",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Gwanda State University",country:{name:"Zimbabwe"}}},{id:"439435",title:"Dr.",name:"Feda S.",middleName:null,surname:"Aljaser",slug:"feda-s.-aljaser",fullName:"Feda S. Aljaser",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"King Saud University",country:{name:"Saudi Arabia"}}},{id:"423023",title:"Dr.",name:"Yosra",middleName:null,surname:"Soltan",slug:"yosra-soltan",fullName:"Yosra Soltan",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Alexandria University",country:{name:"Egypt"}}},{id:"349788",title:"Dr.",name:"Florencia Nery",middleName:null,surname:"Sompie",slug:"florencia-nery-sompie",fullName:"Florencia Nery Sompie",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Sam Ratulangi University",country:{name:"Indonesia"}}},{id:"428600",title:"MSc.",name:"Adriana",middleName:null,surname:"García-Alarcón",slug:"adriana-garcia-alarcon",fullName:"Adriana García-Alarcón",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Autonomous University of Mexico",country:{name:"Mexico"}}},{id:"428599",title:"MSc.",name:"Gabino",middleName:null,surname:"De La Rosa-Cruz",slug:"gabino-de-la-rosa-cruz",fullName:"Gabino De La Rosa-Cruz",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Autonomous University of Mexico",country:{name:"Mexico"}}},{id:"428601",title:"MSc.",name:"Juan Carlos",middleName:null,surname:"Campuzano-Caballero",slug:"juan-carlos-campuzano-caballero",fullName:"Juan Carlos Campuzano-Caballero",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"National Autonomous University of Mexico",country:{name:"Mexico"}}}]}},subseries:{item:{id:"20",type:"subseries",title:"Animal Nutrition",keywords:"Sustainable Animal Diets, Carbon Footprint, Meta Analyses",scope:"An essential part of animal production is nutrition. Animals need to receive a properly balanced diet. One of the new challenges we are now faced with is sustainable animal diets (STAND) that involve the 3 P’s (People, Planet, and Profitability). We must develop animal feed that does not compete with human food, use antibiotics, and explore new growth promoters options, such as plant extracts or compounds that promote feed efficiency (e.g., monensin, oils, enzymes, probiotics). These new feed options must also be environmentally friendly, reducing the Carbon footprint, CH4, N, and P emissions to the environment, with an adequate formulation of nutrients.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/20.jpg",hasOnlineFirst:!0,hasPublishedBooks:!0,annualVolume:11416,editor:{id:"175967",title:"Dr.",name:"Manuel",middleName:null,surname:"Gonzalez Ronquillo",slug:"manuel-gonzalez-ronquillo",fullName:"Manuel Gonzalez Ronquillo",profilePictureURL:"https://mts.intechopen.com/storage/users/175967/images/system/175967.png",biography:"Dr. Manuel González Ronquillo obtained his doctorate degree from the University of Zaragoza, Spain, in 2001. He is a research professor at the Faculty of Veterinary Medicine and Animal Husbandry, Autonomous University of the State of Mexico. He is also a level-2 researcher. He received a Fulbright-Garcia Robles fellowship for a postdoctoral stay at the US Dairy Forage Research Center, Madison, Wisconsin, USA in 2008–2009. He received grants from Alianza del Pacifico for a stay at the University of Magallanes, Chile, in 2014, and from Consejo Nacional de Ciencia y Tecnología (CONACyT) to work in the Food and Agriculture Organization’s Animal Production and Health Division (AGA), Rome, Italy, in 2014–2015. He has collaborated with researchers from different countries and published ninety-eight journal articles. He teaches various degree courses in zootechnics, sheep production, and agricultural sciences and natural resources.\n\nDr. Ronquillo’s research focuses on the evaluation of sustainable animal diets (StAnD), using native resources of the region, decreasing carbon footprint, and applying meta-analysis and mathematical models for a better understanding of animal production.",institutionString:null,institution:{name:"Universidad Autónoma del Estado de México",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null,series:{id:"13",title:"Veterinary Medicine and Science",doi:"10.5772/intechopen.73681",issn:"2632-0517"},editorialBoard:[{id:"175762",title:"Dr.",name:"Alfredo J.",middleName:null,surname:"Escribano",slug:"alfredo-j.-escribano",fullName:"Alfredo J. Escribano",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRGnzQAG/Profile_Picture_1633076636544",institutionString:"Consultant and Independent Researcher in Industry Sector, Spain",institution:null},{id:"310962",title:"Dr.",name:"Amlan",middleName:"Kumar",surname:"Patra",slug:"amlan-patra",fullName:"Amlan Patra",profilePictureURL:"https://mts.intechopen.com/storage/users/310962/images/system/310962.jpg",institutionString:null,institution:{name:"West Bengal University of Animal and Fishery Sciences",institutionURL:null,country:{name:"India"}}},{id:"216995",title:"Prof.",name:"Figen",middleName:null,surname:"Kırkpınar",slug:"figen-kirkpinar",fullName:"Figen Kırkpınar",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRMzxQAG/Profile_Picture_1625722918145",institutionString:null,institution:{name:"Ege University",institutionURL:null,country:{name:"Turkey"}}}]},onlineFirstChapters:{paginationCount:1,paginationItems:[{id:"81321",title:"Velocity Planning via Model-Based Reinforcement Learning: Demonstrating Results on PILCO for One-Dimensional Linear Motion with Bounded Acceleration",doi:"10.5772/intechopen.103690",signatures:"Hsuan-Cheng Liao, Han-Jung Chou and Jing-Sin Liu",slug:"velocity-planning-via-model-based-reinforcement-learning-demonstrating-results-on-pilco-for-one-dime",totalDownloads:3,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Applied Intelligence - Annual Volume 2022",coverURL:"https://cdn.intechopen.com/books/images_new/11418.jpg",subseries:{id:"22",title:"Applied Intelligence"}}}]},publishedBooks:{paginationCount:4,paginationItems:[{type:"book",id:"9869",title:"Self-Driving Vehicles and Enabling Technologies",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/9869.jpg",slug:"self-driving-vehicles-and-enabling-technologies",publishedDate:"September 22nd 2021",editedByType:"Edited by",bookSignature:"Marian Găiceanu",hash:"fd451ca2e4785ef098e04b7d695a18d9",volumeInSeries:6,fullTitle:"Self-Driving Vehicles and Enabling Technologies",editors:[{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',institutionURL:null,country:{name:"Romania"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"9958",title:"Artificial Intelligence",subtitle:"Latest Advances, New Paradigms and Novel Applications",coverURL:"https://cdn.intechopen.com/books/images_new/9958.jpg",slug:"artificial-intelligence-latest-advances-new-paradigms-and-novel-applications",publishedDate:"September 1st 2021",editedByType:"Edited by",bookSignature:"Eneko Osaba, Esther Villar, Jesús L. 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