Multilayer sequence for 1.06 μm to 2.12 μm frequency conversion.
\\n\\n
IntechOpen Book Series will also publish a program of research-driven Thematic Edited Volumes that focus on specific areas and allow for a more in-depth overview of a particular subject.
\\n\\nIntechOpen Book Series will be launching regularly to offer our authors and editors exciting opportunities to publish their research Open Access. We will begin by relaunching some of our existing Book Series in this innovative book format, and will expand in 2022 into rapidly growing research fields that are driving and advancing society.
\\n\\nLaunching 2021
\\n\\nArtificial Intelligence, ISSN 2633-1403
\\n\\nVeterinary Medicine and Science, ISSN 2632-0517
\\n\\nBiochemistry, ISSN 2632-0983
\\n\\nBiomedical Engineering, ISSN 2631-5343
\\n\\nInfectious Diseases, ISSN 2631-6188
\\n\\nPhysiology (Coming Soon)
\\n\\nDentistry (Coming Soon)
\\n\\nWe invite you to explore our IntechOpen Book Series, find the right publishing program for you and reach your desired audience in record time.
\\n\\nNote: Edited in October 2021
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\n\nDesigned to cover fast-moving research fields in rapidly expanding areas, our Book Series feature a Topic structure allowing us to present the most relevant sub-disciplines. Book Series are headed by Series Editors, and a team of Topic Editors supported by international Editorial Board members. Topics are always open for submissions, with an Annual Volume published each calendar year.
\n\nAfter a robust peer-review process, accepted works are published quickly, thanks to Online First, ensuring research is made available to the scientific community without delay.
\n\nOur innovative Book Series format brings you:
\n\nIntechOpen Book Series will also publish a program of research-driven Thematic Edited Volumes that focus on specific areas and allow for a more in-depth overview of a particular subject.
\n\nIntechOpen Book Series will be launching regularly to offer our authors and editors exciting opportunities to publish their research Open Access. We will begin by relaunching some of our existing Book Series in this innovative book format, and will expand in 2022 into rapidly growing research fields that are driving and advancing society.
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\n\nBiochemistry, ISSN 2632-0983
\n\nBiomedical Engineering, ISSN 2631-5343
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\n\nDentistry (Coming Soon)
\n\nWe invite you to explore our IntechOpen Book Series, find the right publishing program for you and reach your desired audience in record time.
\n\nNote: Edited in October 2021
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This may have an impact on both the users’ trust as well as the reputation of the system’s stakeholders. Designing and implementing security enhanced systems is of vital importance.\nTherefore, this book aims to present a number of innovative security enhanced applications. It is titled “Security Enhanced Applications for Information Systems” and includes 11 chapters. This book is a quality guide for teaching purposes as well as for young researchers since it presents leading innovative contributions on security enhanced applications on various Information Systems. It involves cases based on the standalone, network and Cloud environments.",isbn:null,printIsbn:"978-953-51-0643-2",pdfIsbn:"978-953-51-5631-4",doi:"10.5772/2345",price:119,priceEur:129,priceUsd:155,slug:"security-enhanced-applications-for-information-systems",numberOfPages:236,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"f65768a1b9a07b41f17747d9c77def66",bookSignature:"Christos Kalloniatis",publishedDate:"May 30th 2012",coverURL:"https://cdn.intechopen.com/books/images_new/1923.jpg",numberOfDownloads:30372,numberOfWosCitations:4,numberOfCrossrefCitations:3,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:11,numberOfDimensionsCitationsByBook:0,hasAltmetrics:0,numberOfTotalCitations:18,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"May 19th 2011",dateEndSecondStepPublish:"June 16th 2011",dateEndThirdStepPublish:"October 21st 2011",dateEndFourthStepPublish:"November 20th 2011",dateEndFifthStepPublish:"March 19th 2012",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"219671",title:"Associate Prof.",name:"Christos",middleName:null,surname:"Kalloniatis",slug:"christos-kalloniatis",fullName:"Christos Kalloniatis",profilePictureURL:"https://mts.intechopen.com/storage/users/219671/images/system/219671.jpg",biography:"Dr. Christos Kalloniatis obtained a Ph.D. in Privacy Requirements Engineering from the Department of Cultural Technology and Communication, University of the Aegean, Greece, a master’s degree in Computer Science from the University of Essex, England, and a bachelor’s degree in Computer Science from the Department of Informatics, Technological Institute of Athens (now the University of West Attica). He is an associate professor and head of the Department of Cultural Technology and Communication, University of the Aegean, and director of the Privacy Engineering and Social Informatics (PrivaSI) research laboratory. He is a former member of the board of the Hellenic Authority for Communication Security and Privacy. His main research interests are the elicitation, analysis, and modelling of security and privacy requirements in traditional and cloud-based systems, the analysis and modelling of forensic-enabled systems and services, privacy-enhancing technologies, and the design of information system security and privacy in cultural informatics. He has published several refereed papers in international scientific journals and conferences and has served as a visiting professor in many European institutions. Prior to his academic career, he served at various places in the Greek public sector including the North Aegean Region and Ministry of Interior, Decentralisation and e-Governance. 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Renna, Rodrigo Garcia, Jesica Ramirez and Roberto M.\nMiatello",dateSubmitted:"May 26th 2016",dateReviewed:"January 16th 2017",datePrePublished:null,datePublished:"April 5th 2017",book:{id:"5682",title:"Physiologic and Pathologic Angiogenesis",subtitle:"Signaling Mechanisms and Targeted Therapy",fullTitle:"Physiologic and Pathologic Angiogenesis - Signaling Mechanisms and Targeted Therapy",slug:"physiologic-and-pathologic-angiogenesis-signaling-mechanisms-and-targeted-therapy",publishedDate:"April 5th 2017",bookSignature:"Dan Simionescu and Agneta Simionescu",coverURL:"https://cdn.intechopen.com/books/images_new/5682.jpg",licenceType:"CC BY 3.0",editedByType:"Edited by",editors:[{id:"66196",title:"Dr.",name:"Dan",middleName:"T.",surname:"Simionescu",slug:"dan-simionescu",fullName:"Dan Simionescu"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:[{id:"192616",title:"Dr.",name:"Nicolás",middleName:null,surname:"Renna",fullName:"Nicolás Renna",slug:"nicolas-renna",email:"nicolasfede@gmail.com",position:null,institution:{name:"National University of Cuyo",institutionURL:null,country:{name:"Argentina"}}},{id:"202536",title:"Dr.",name:"Rodrigo",middleName:"Damián",surname:"García",fullName:"Rodrigo García",slug:"rodrigo-garcia",email:"rodridg@hotmail.com",position:null,institution:null},{id:"202537",title:"Dr.",name:"Jesica",middleName:null,surname:"Ramirez",fullName:"Jesica Ramirez",slug:"jesica-ramirez",email:"jesicamagali@hotmail.com",position:null,institution:null},{id:"202539",title:"Dr.",name:"Roberto M.",middleName:null,surname:"Miatello",fullName:"Roberto M. 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The area of error detection and correction consists of techniques that enable reliable delivery of digital data over unreliable communication channels. Error detection techniques allow detecting such errors, while error correction enables reconstruction of the original data in many cases. These techniques have various applications in a variety of fields including computer science and telecommunication. These techniques also enrich the areas of information theory and coding theory with various other real life applications. This comprehensive book is planned to explore state of the art chapters in the latest developments, methods, approaches and applications of error detection and correction in a wide variety of fields and endeavors. This volume would be compiled with a view to provide researchers, academicians, and readers knowledge on backgrounds and methods with an in-depth discussion of the latest advances. The book will be consisted of various chapters from academicians, practicians and researchers from different scentific disciplines.
",isbn:null,printIsbn:null,pdfIsbn:null,doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!1,isSalesforceBook:!1,isNomenclature:!1,hash:"74e7a39acecc3a4086808dd7f02ebcfc",bookSignature:"Prof. Muhammad Sarfraz",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/7374.jpg",keywords:"Error Detection, Error Control, Error Correction, Error Control, Decoding, Information Theory, Quantification, Signal Processing, Coding Theory, Cryptography, Noiseless Coding, Interactive Computation",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:0,numberOfDimensionsCitations:0,numberOfTotalCitations:0,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"August 27th 2018",dateEndSecondStepPublish:"January 30th 2019",dateEndThirdStepPublish:"March 31st 2019",dateEndFourthStepPublish:"June 19th 2019",dateEndFifthStepPublish:"August 18th 2019",dateConfirmationOfParticipation:null,remainingDaysToSecondStep:"4 years",secondStepPassed:!0,areRegistrationsClosed:!0,currentStepOfPublishingProcess:5,editedByType:null,kuFlag:!1,biosketch:null,coeditorOneBiosketch:null,coeditorTwoBiosketch:null,coeditorThreeBiosketch:null,coeditorFourBiosketch:null,coeditorFiveBiosketch:null,editors:[{id:"215610",title:"Prof.",name:"Muhammad",middleName:null,surname:"Sarfraz",slug:"muhammad-sarfraz",fullName:"Muhammad Sarfraz",profilePictureURL:"https://mts.intechopen.com/storage/users/215610/images/system/215610.jpeg",biography:"Muhammad Sarfraz is a professor in the Department of Information Science, Kuwait University. His research interests include computer graphics, computer vision, image processing, machine learning, pattern recognition, soft computing, data science, intelligent systems, information technology, and information systems. Prof. Sarfraz has been a keynote/invited speaker on various platforms around the globe. He has advised various students for their MSc and Ph.D. theses. He has published more than 400 publications as books, journal articles, and conference papers. He is a member of various professional societies and a chair and member of the International Advisory Committees and Organizing Committees of various international conferences. 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From chapter submission and review, to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. 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In this context, the Aluminum Gallium Arsenide (AlGaAs) system is an ideal candidate for the nonlinear photonic design, because of its numerous advantages: high second order susceptibility, wide transparency window, good thermal conductivity and monolithic integration.
In order to design efficient frequency converters, the key issue is to keep a constant phase relation between the three interacting waves. In general, this is not a trivial task because of the phase-velocity mismatch induced by the material chromatic dispersion [6]. While few phase-matching strategies have been investigated, an original modal phase-matching scheme based on Bragg reflector waveguides has been recently addressed, reviving the interest for spontaneous parametric down-conversion (SPDC) in AlGaAs-based waveguides [7,8].
In this chapter we will focus on AlGaAs-based nonlinear waveguides in which phase-matching is achieved through form birefringence, artificially induced in optical heterostructures by selective oxidation of Al-rich layers into Aluminum Oxide (referred to as AlOx thereafter). Despite recent technological improvement and promising performances for frequency conversion in the near [9] and mid-infrared regions [10], neither the OPO nor the TTPS has been demonstrated yet on chip, because of technological issues, mainly excessive propagation losses and absence of appropriate built-in cavity. In the second section we present the scientific context of this work, focusing on AlGaAs integrated nonlinear devices exploiting the so-called form birefringence phase-matching scheme. Section three is devoted to the design procedure and the optimization of the fabrication process of two types of partially oxidized waveguides, while their experimental performances are summarized in section four. A comprehensive study of the different loss mechanisms involved is presented in section five, and the design and fabrication of built-in cavity mirrors is described in the sixth section.
\n\t\tNear and mid-infrared radiation corresponds to the region of the electromagnetic spectrum with wavelengths spanning between 1 and 20 μm. It contains two telecom windows (around 1.3 and 1.5 μm) as well as strong characteristics roto-vibrational lines of many molecules (pollutants, toxins, etc.) and two atmospheric transmission windows (3-5 μm and 8-13 μm), which makes it essential for civilian and military applications such as spectroscopy, material processing, molecular sensing, thermal imaging and defense.
The current state-of-the-art sources developed for these applications can be categorized in three main groups: solid-state and fiber lasers, semiconductor lasers, and parametric sources. Although the former include a wide variety of well-known and established emitters, they still remain macroscopic objects falling out of the scope of on-chip integration, and their tunability is severely limited by the discrete energy transitions of the active media [11]. On the contrary, since their first demonstration respectively 50 and almost 20 years ago [12,13], laser diodes and quantum cascade lasers (QCLs) have greatly benefited from the flexibility enabled by the engineering of energy band structure and from clean-room fabrication technologies. Yet, these two technological streams hardly overlap in the wavelength range around 3 μm. So far, room temperature operation has only been demonstrated for III-V antimonide laser diodes operating in continuous-wave (CW) regime up to 3.0 μm [14]; and for QCLs (either grown on InP substrate or in the III-V antimonide system) with emission wavelength extended down to 3.1 μm in pulsed regime, and to 3.6 μm CW [15,16]. However, because of its controllability and re-growth constraints, commercial producers tend to avoid the use of antimony. That is why antimonide laser diodes are not yet standard off-the-shelf products, whereas QCLs, thanks to a mature and possibly Sb-free technology, are now finding commercial applications and increasingly replace the outdated lead-salt laser diodes. Nevertheless, integrated semiconductor sources are still lacking around 3 μm, and apart from few QCL products (
Nonlinear optics, by means of difference frequency generation (DFG) and optical parametric oscillation, is a well-known alternative to cover the whole 1-10 μm span. The wide variety of spectral/temporal formats allowed by nonlinear χ(2) processes in transparent materials, endows parametric sources with a high level of flexibility. Moreover, SPDC is currently the most widely used process to generate quantum photon pairs, which have become one of the building blocks of quantum information. To date, room-temperature SPDC has been reported in passive AlGaAs waveguides designed to perform 0.775-to-1.55 μm down-conversion [7,8], while entanglement has been demonstrated in light emitting diodes only at cryogenic temperature [19]. Thus, the fabrication of an electrically-pumped version of such light source operating at room temperature in the telecom range also constitutes a high-potential and challenging goal.
\n\t\t\tFulfilling the phase-matching condition is crucial for efficient three-wave mixing. The classical approach to cancel out the phase-velocity mismatch between the interacting waves is to rely on the birefringence of the nonlinear medium. The limited choice of suitable materials led to quasi-phase matching (QPM), well established in ferroelectric crystals, with a great impact on the fabrication of infrared parametric sources. QPM consists in a periodic inversion of nonlinearity along the propagation direction, minimizing the phase-mismatch to allow the nonlinear interaction to build constructively. In this context, the development of bulk dielectric crystals like periodically-poled LiNbO3 (PPLN) has made them the workhorse materials of χ(2) optics. Besides, by implementing a guided-wave configuration in which the three optical modes are confined and can interact over several centimeters, normalized conversion efficiencies up to ~150 %W-1cm-2 have been demonstrated [20], yielding to the demonstration of compact and efficient photon pairs sources [21] and OPOs [22]. Nonetheless, such setups are composed of discrete optical components with critical alignment and do not lend themselves to optoelectronic integration. That is why direct-gap semiconductor compounds, provided that they have significant second-order nonlinearity, are an attractive platform for the coming years’ photonics, thanks to mature nano-fabrication technology. Indeed they promise on-chip integration of both efficient frequency converters and laser pumps. Gallium arsenide (GaAs), or more generally the AlGaAs system, is particularly interesting because it exhibits a huge second-order nonlinearity (d14~100 pm/V), a broad transparency window (from 0.9 to 17 μm), and a large variety of design and fabrication solutions [23]. Because AlGaAs is neither birefringent nor ferroelectric, phase matching is not a trivial task, especially if the frequencies involved lie close to the material bandgap, where the dispersion is strong. Similarly to lithium niobate, the demonstration of QPM in bulk orientation-patterned GaAs (OP-GaAs) [24] enabled the demonstration of efficient tunable infrared sources, including the first GaAs-based OPO in 2004 [25]. Regarding OP-GaAs waveguides, in addition to their complex fabrication process, their performances are limited by high optical losses due to scattering in the corrugated waveguide core, resulting in modest normalized conversion efficiencies of ~90 %W-1cm-2 [24]. Another approach, based on the engineering of modal dispersion, enabled the implementation of two additional phase-matching strategies:
\n\t\t\t\tmodal phase-matching, involving transverse modes of different order at the price of a worse nonlinear overlap integral [8]; and
form-birefringent phase matching.
The latter relies on optical heterostructures, in which thin low-index non-stoeichiometric AlOx layers are intertwined with AlGaAs layers, so to artificially induce the necessary birefringence to compensate for the chromatic dispersion [10]. For these two schemes, normalized conversion efficiencies of ~250 %W-1cm-2 and ~1000 %W-1cm-2 have been reported respectively, confirming that nonlinear integrated GaAs-based devices are a credible and promising alternative to standard LiNbO3.
\n\t\t\tSince AlGaAs is optically isotropic, the standard birefringent phase-matching scheme cannot be implemented. Nevertheless, in a guided-wave configuration, a small anisotropy appears as the TE00 and TM00 solutions of the Maxwell equations experience different boundary conditions, hence leading to a non-zero birefringence |n(TE00)-n(TM00)|. The latter can then be tailored for fundamental, orthogonally polarized eigen modes. However this quantity is in general much smaller than the dispersion, so that this technique remains unsuitable to phase match any nonlinear interaction.
In order to boost this effect and artificially induce a significant amount of birefringence, one can pattern the waveguide core at sub-wavelength scale, by repeatedly breaking the refractive index continuity with a two-material multilayer. The resulting metamaterial behaves as a macroscopic uniaxial crystal, whose birefringence is fully determined by the index contrast and the filling factors of the materials [27]. In particular, this so-called form birefringence phase-matching scheme has been developed in the AlGaAs platform during the late 90’s at Thomson CSF laboratory (today Alcatel Thales III-V Lab) [26]. Thanks to the wide variety of index profile designs enabled by the dependence of refractive index with the aluminum fraction, the phase-matching condition can be engineered at will.
The first phase-matched interaction of this type dates back to the seventies, with the doubling of a CO2 laser emitting at 10.6 μm [27]. In that case, given the weak material dispersion in the mid-infrared (few 10-2) an AlAs/GaAs heterostructure suffices to meet the phase-matching condition. However, since the material dispersion strongly increases when the frequencies of the interacting waves lie close to the bandgap of the material, nonlinear interactions between the visible and the mid-infrared are then prevented for the simple AlGaAs platform.
In 1990, the discovery of selective wet oxidation of Al-rich AlGaAs layers drastically broadened the potential of form-birefringent phase-matching, thanks to the density, homogeneity and stability of a new type of aluminum oxide [28]. This material exhibits nice optical properties, such as a wide transparency window and a low refractive index of ~1.6, and is electrically insulating. A few engineering domains rapidly took advantage of these physical properties: electronics, with field effect transistors [29]; optics, with broadband Bragg mirrors [30]; and optoelectronics, by combining optical and electrical confinement in vertical-cavity surface-emitting lasers (VCSELs) to improve their yield and ensure single-mode emission [31].
In the case dealt with in this chapter, the GaAs/AlOx system allows accessing birefringence of several 10-1,
To demonstrate the high potential of the form birefringence phase-matching scheme, we have implemented it into two multi-layered structures designed for the down-conversion of pumps with respective wavelength 1.06 μm and 0.775 μm. The first device is intended to perform as an OPO in the near and mid-infrared regions, while the second one is meant to operate as a TTPS.
For each structure, the design’s objective is to balance the combined material and waveguide dispersions with enough induced birefringence, taking into account the following criteria:
\n\t\t\t\tthe transverse dimensions of the waveguide should favor zero-order modes to maximize their nonlinear overlap integral and avoid injecting power into non phase-matched higher order modes,
the aluminum fraction in the guiding core should be low to optimally exploit the χ(2) nonlinearity of the material, which must also be transparent at every frequency involved in the three-wave mixing,
the aluminum fraction in the claddings should be high enough for a good confinement of the waves, but also guarantee the stability of the material, with no parasitic spontaneous oxidation,
the number of AlOx layers should be kept as small as possible as their second order susceptibility is zero and their quality is expected to be worse than crystalline lattice-matched AlGaAs.
Moreover, our choice is for type I phase-matching, rather than type II, as it requires a smaller amount of birefringence (and therefore of AlOx). According to this configuration and the non-zero elements of the second order susceptibility tensor of GaAs, quadratic interactions are only possible between a combination of two low frequency TE modes (
For technological reasons, the thickness of the Al-rich layers to be oxidized must be comprised between few nanometers and few microns. Indeed, the diffusion of oxidant species along very thin layers is impeded, and the overall mechanical stability of thick oxidized layers is critical. However, this mechanical instability can be mitigated by adding a small amount of gallium to the thin AlAs layers [33]. As a result, we have chosen to deal with ~30 nm layers of Al0.98Ga0.02As (basically AlAs). Note that all the thicknesses of the oxidized layers are fixed to be the same throughout the whole structure, so to optimally calibrate the oxidation process and benefit from the best experimental conditions.
While for the first “OPO structure”, the fulfillment of the phase-matching condition requires the insertion of only five AlOx layers in the GaAs core, the situation differs in two aspects for the “TTPS structure”:
\n\t\t\t\tthe guiding core material must be switched to Al0.25Ga0.75As to ensure its transparency at 0.775 μm, and
due to the higher dispersion generated by the proximity of the material bandgap, the number of AlOx layers must be significantly increased, leading to their insertion into the waveguide claddings as well.
In both cases, the thickness of the (Al)GaAs layers surrounded by oxide layers is set to tune the degeneracy wavelength. The two final designs are given in Tables 1 and 2, whereas the corresponding refractive index profiles and the intensity distributions of the phase-matched modes at degeneracy are shown in Figures 1 and 2.
\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t
Cap | \n\t\t\t\t\t\t\tGaAs | \n\t\t\t\t\t\t\t30 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t |
Cladding | \n\t\t\t\t\t\t\tAl0.7Ga0.3As | \n\t\t\t\t\t\t\t1000 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t |
Core | \n\t\t\t\t\t\t\tAl0.98Ga0.02As | \n\t\t\t\t\t\t\t37.5 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t |
GaAs | \n\t\t\t\t\t\t\t273 | \n\t\t\t\t\t\t\t× 4 | \n\t\t\t\t\t\t|
Al0.98Ga0.02As | \n\t\t\t\t\t\t\t37.5 | \n\t\t\t\t\t\t||
Cladding | \n\t\t\t\t\t\t\tAl0.7Ga0.3As | \n\t\t\t\t\t\t\t1000 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t |
Buffer | \n\t\t\t\t\t\t\tAl0.92Ga0.08As | \n\t\t\t\t\t\t\t1000 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t |
Substrate | \n\t\t\t\t\t\t\tGaAs | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t |
Multilayer sequence for 1.06 μm to 2.12 μm frequency conversion.
Refractive index profile (black line), phase-matched TE0 (red line), and TM0 (blue line) modes at 2.12 μm and 1.06 μm respectively, represented along the growth direction.
\n\t\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t
Cap | \n\t\t\t\t\t\t\tGaAs | \n\t\t\t\t\t\t\t30 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t |
Cladding | \n\t\t\t\t\t\t\tAl0.8Ga0.2As | \n\t\t\t\t\t\t\t166 | \n\t\t\t\t\t\t\t× 4 | \n\t\t\t\t\t\t
Al0.98Ga0.02As | \n\t\t\t\t\t\t\t37.5 | \n\t\t\t\t\t\t||
Core | \n\t\t\t\t\t\t\tAl0.25Ga0.75As | \n\t\t\t\t\t\t\t166 | \n\t\t\t\t\t\t\t× 8 | \n\t\t\t\t\t\t
Al0.98Ga0.02As | \n\t\t\t\t\t\t\t37.5 | \n\t\t\t\t\t\t||
Cladding | \n\t\t\t\t\t\t\tAl0.8Ga0.2As | \n\t\t\t\t\t\t\t166 | \n\t\t\t\t\t\t\t× 4 | \n\t\t\t\t\t\t
Al0.98Ga0.02As | \n\t\t\t\t\t\t\t37.5 | \n\t\t\t\t\t\t||
Buffer | \n\t\t\t\t\t\t\tAl0.8Ga0.2As | \n\t\t\t\t\t\t\t100 | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t |
Substrate | \n\t\t\t\t\t\t\tGaAs | \n\t\t\t\t\t\t\t- | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t |
Multilayer sequence for 0.775 μm to 1.55 μm frequency conversion.
Refractive index profile (black line), phase-matched TE0 (red line), and TM0 (blue line) modes at 1.55 μm and 0.775 μm respectively, represented along the growth direction.
The main advantage of the form birefringence phase-matching scheme with respect to competing techniques is the inherently high nonlinear overlap integral between very lookalike fundamental modes. Thereby, nonlinear partially oxidized AlGaAs waveguides are expected to give interestingly high conversion efficiencies. However, their performances rely on the quality of their fabrication, for optical propagation losses heavily affect the phase-matching.
\n\t\t\t\t\t
Thanks to the well-developed clean-room techniques and equipments (
The first mid-infrared DFG results have been reported in RIE-etched double mesa waveguides consisting in a 3 μm wide ridge (for lateral confinement of the guided modes) on top of a 100 μm wide mesa (to access the buried AlAs layers), with high propagation losses of ~2 cm-1 in the near infrared, and a 3 %W-1cm-2 normalized conversion efficiency [35]. This high attenuation coefficient was assumed to stem from
\n\t\t\t\tthe poor quality of the etched sidewalls responsible for significant scattering losses and
long oxidation times (1h20min) during which the oxide quality was degraded.
After optimization of the design, dry etching has then been replaced with H2SO4:H2O2:H2O (3:1:1) chemical wet etching to obtain smoother sidewalls. The resulting losses of oxidized samples were reduced to ~1.5 cm-1, and a normalized conversion efficiency of 1000 %W-1cm-2 was estimated through SPDC around 2 μm [36]. Then, always in the same group, the waveguide geometry has been switched to single ridges (3μm × 3μm) to shorten the oxidation time to several minutes, hence low losses of ~0.7 cm-1 and a 1500 %W-1cm-2 normalized conversion efficiency [10]. However, the slight etchant selectivity led to peculiar saw-tooth transverse profiles with mediocre process uniformity. Finally, sample homogeneity has been improved by using the non selective CH3COOH:HBr:K2Cr2O7 etchant (1:1:1) [37].
Two scanning electron microscopy images of finalized samples are presented in Figure 3. Despite the poor control on the waveguide transverse profile, chemical etching is still relevant compared to dry etching techniques such as ICP-RIE, whose development in terms of sidewalls roughness and chemical state is not yet satisfactory for low-loss integrated frequency converters [38].
\n\t\t\t\t\t
The epitaxial structures reported in Tables 1 and 2 have been grown on semi-insulating (001) GaAs substrates by means of molecular beam epitaxy (MBE). This technique enables the growth of high purity layers with a sharp control of their compositions and thicknesses, with abrupt interfaces. The former accuracy is important to meet the phase-matching condition at the desired wavelength, whereas the latter is essential to keep the scattering losses to a minimum.
\n\t\t\t\tScanning Electron Microscopy pictures of etched and oxidized waveguide facets (Left: “OPO Structure”– Right: “TTPS Structure”).
A thin film of positive photoresist is spin coated on the wafer and binary ridge patterns are defined with standard photolithography technique. Waveguides are oriented along the [110] crystalline direction in order to exploit the maximum χ(2)\n\t\t\t\t\txyz element of the GaAs nonlinear susceptibility tensor and the {110} cleavage plane to define the waveguide facets. Typical 3μm × 3μm ridges, are then etched using the CH3COOH:HBr:K2Cr2O7 solution. The resulting waveguide sidewalls are extremely smooth (roughness RMS value of 2 nm), which prevents the scattering of guided modes and favors the diffusion of the oxidant species during the oxidation step. The whole process is quite reproducible and easily homogeneous over several millimeters.
Samples are then cleaved in mm-long devices and the Al-rich layers are selectively oxidized. Oxidation is held in a quartz tube where samples are heated up to high temperatures in the 400°C-500°C range, in a wet atmosphere. The latter is obtained using a 2L/min nitrogen flux flowing through a water bubbler stabilized at 70°C.
\n\t\t\tOptical propagation losses clearly originate from the oxidation process, for they are much lower before this fabrication step (respectively around 0.1 and 0.4 cm-1 in the near infrared for the best waveguides of the reported structures). Since the former demonstration of AlAs oxidation, such process has undergone a considerable progress in the last two decades, leading to reliable parameters for the kinetics of the reaction [34]. Thus, using the above mentioned processing technique and oxidation apparatus, this fabrication step has been carefully calibrated and optimized.
\n\t\t\t\t\t
The kinetics of the oxidation depends on several parameters: the thickness and composition of the Al-rich layers, the furnace temperature, the carrier gas flux, and the bubbler temperature [33]. We have chosen here to focus only upon temperature, the carrier gas flux and the bubbler temperature being fixed to have an excess of reactants in the wet atmosphere. Figure 4 represents, for our grown AlAs layers, the log-log representation of lateral oxidation depth versus process duration, for different temperatures ranging from 400°C to 500°C. The linear progression of the oxide front with time is pointed out by the unitary slope of the dashed lines fitting the data, meaning that the process is reaction limited. From the y-intercept we can estimate the indicated oxidation rates, varying from fractions of microns to several microns per minute. Since the reaction is thermally-activated, they follow an Arrhenius law r = r0.exp(-Ea/kBT), where r is the oxidation rate (in μm/min), r0 the reaction constant (in μm/min), Ea the activation energy (in eV), kB the Boltzmann constant, and T the process temperature (in Kelvin). According to Figure 4 we obtain Ea = 1.7eV in fair agreement with the literature [33].
\n\t\t\t\t(Left) Lateral oxidation depth of 37.5nm thick Al0.98Ga0.02As layers vs. Time, for several temperatures; (Right) Arrhenius plot of the oxidation rate.
\n\t\t\t\t\t
Knowing the width of our ridge waveguides, the previous calibration allows us to estimate the nominal process duration required to complete the oxidation (
the average loss level suffers from slow oxidation kinetics, and
the process must be stopped at the exact moment when all the AlAs has been converted into oxide.
As we can see from the graph, this last condition is particularly difficult to meet at high temperature where losses are highly sensitive to any imprecision on the oxidation time. Consequently the set of parameters {14 min., 420°C} has been chosen as the best reasonable trade-off.
\n\t\t\t\tNormalized losses vs. Oxidation time for three different process temperatures.
Nonlinear characterization of a frequency converter is achieved through three-wave mixing experiments for which the nonlinearity of the material couples fields of angular frequency ωi (i=1,2,3) such as ω1+ω2=ω3 [6]. Different setup configurations can be implemented depending on the modes injected at the guiding structure input, and several figures of merit can be inferred. Second harmonic generation (ω+ω→2ω) is the simplest to achieve, as the output power of the generated beam scales quadratically with the input power. It enables the estimation of normalized conversion efficiency ηnorm=P2ω/(Pω\n\t\t\t\t\t2L2). The inverse process (at least at degeneracy) that is SPDC (ω3→ω1+ω2) is more subtle to detect as the pump wave interacts with weak vacuum quantum fluctuations. It gives access to the device tuning curve and to the off-degeneracy conversion efficiency. Finally, seeded down-conversion (ω3-ω1→ω2) can alternatively be described as DFG or parametric amplification. Normalized parametric gain g/P1/2=ηnorm\n\t\t\t\t\t1/2 is crucial when it comes to optical parametric amplifiers (OPAs) and OPOs.
Since the first experimental demonstration of mid-infrared DFG in form birefringent waveguides in 1997 [35], the performances of such device have been significantly improved in terms of optical losses and conversion efficiency. Thereby, this phase-matching scheme has been successfully extended to visible and near infrared spectral ranges [9,10]. Concerning the first structure discussed here, designed for 1.06-to-2.12 μm parametric down-conversion, three-wave mixing experiments have been extensively carried out, and their results have already been published. A normalized conversion efficiency of ηnorm = 1500 %W-1cm-2, corresponding to a normalized parametric gain of 3.9 cm-1W-1/2 at degeneracy, was estimated by parametric fluorescence measurements, and confirmed by SHG [10]. Direct parametric amplification measurements have been performed, and a maximum single-pass parametric gain of 4.5% has been obtained with 30 mW in-coupled pump power [37]. This the highest value ever reported in semiconductor waveguide. Furthermore, tunability for signal and idler beams in the 1.7 – 2.7 μm range has been established. The only limitation to this span was shown to stem from the O-H absorption band around 3 μm, due to the presence of hydroxide AlO(OH) [32]. Nevertheless, this band can be recovered, extending the tunability between 1.3 and 4.2 μm, after dehydroxylation of the sample (
Shortly after the demonstration of SHG of a λ = 1.6 μm pump in AlGaAs/AlOx waveguides as early as 1998 [40], the interest in the telecom band faded because of propagation loss issues. During the following decade, up and down-conversion between 0.775 μm and the telecom band remained out of reach for the form birefringent phase-matching scheme as the fabrication and oxidation steps were not fully optimized. In the following, we present our latest results obtained in the most recent generation of partially oxidized AlGaAs waveguides. State-of-the-art conversion efficiency is estimated
In the experiment we report here, a CW single mode external cavity laser diode, largely tunable in the telecom band, was used to generate the pump beam at the fundamental frequency. The laser beam was TE-polarized then injected into a 500 μm long waveguide by end-fire coupling through a ×60 (0.85 N.A.) microscope objective. The internal fundamental harmonic input power was estimated using the in-coupling efficiency of 37% assessed by taking into account the objective transmission (75%), the 28% facet reflectivity calculated accurately by finite-difference time domain (FDTD) method, and the overlap integral between the laser beam and the guided mode (69%). The second harmonic radiation was collected at the output facet by a similar microscope objective, filtered by a TM polarizer to get rid of the pump beam then focused onto a silicon photodiode connected to a lock-in amplifier.
\n\t\t\t\tSecond harmonic power vs. Fundamental harmonic wavelength. The photodiode signal (black dots) is theoretically fitted (red dotted line), and the Lorentzian single-pass phase-matching curve is extracted (solid blue line).
A typical phase-matching spectrum is shown in Figure 6. It was obtained by monitoring the second harmonic output power while scanning the fundamental harmonic input wavelength at constant 9.3 mW power. The experimental data exhibit a smooth phase-matching resonance modulated by Fabry-Perot fringes and can be nicely fitted after [41]. This high frequency feature corresponds to the interference pattern arising from the multiple reflections of the pump beam on the waveguide facets. Once the cavity fringes are filtered, the single-pass phase-matching curve is extracted and fitted by a Lorentzian curve with a 2.9 nm full width at half maximum (FWHM). The phase-matching condition is met at 1544 nm instead of the designed nominal value of 1550 nm. This slight discrepancy is a combined effect of the small systematic deviation of our MBE reactor on the layer thicknesses (typically 1 to 2 percents), the shift of the phase-matching wavelength induced by the 2D transverse confinement whereas the design procedure is 1D, and the temperature dependence of the structure refractive indices [42]. The broadening of the envelope shape and its deviation from the ideal
The evolution of the second harmonic power with the fundamental harmonic power at degeneracy is given in log-log scale in Figure 7. The quadratic law is confirmed by the slope of the line fitting the experimental data, and a SHG efficiency of 2.8 %W-1 is estimated. The normalized conversion efficiency is found to be 1120 %W-1cm-2\n\t\t\t\t\t
Log-log representation of second harmonic power vs. Fundamental harmonic power. The slope of the linear fit highlights the expected quadratic behavior.
DFG was achieved on the same sample in order to investigate its performance out of degeneracy. In our case, this three-wave mixing process required a TM-polarized pump mode at visible wavelength λP, interacting with a TE-polarized infrared seed at wavelength λS, so to generate a TE-polarized difference frequency beam whose wavelength λDF is set by energy conservation 1/λDF = 1/λP - 1/λS. The pump and seed beams were provided respectively by a linearly polarized CW Ti:Sapphire laser tunable around 775 nm, and an external cavity laser diode tunable between 1490 and 1600 nm. Both beams were combined using a 50/50 beam splitter then collinearly coupled in, and out of, a waveguide by two ×40 (0.65 N.A.) microscope objectives. Its collimated output was either visualized on a camera or passed through a spectrometer before being filtered by a TE polarizer then detected using a strained InGaAs photodiode and a lock-in amplifier.
Typical spectra are shown in Figure 8, where the central peaks are unambiguously attributed to the second order of the residual pump beam diffracted by the monochromator grating. They were obtained for three different pump wavelengths below degeneracy (λP = 773.2 nm), after adjustment of the seed wavelength to optimize the difference frequency power. All the (λP, λS, λDF) sets verify energy conservation at phase-matching and are reported in Figure 9 along with the simulated tuning curve, with a good agreement. The spread of the dark line corresponds to the spectral acceptance of the DFG around phase-matching and its width accounts for the losses experienced by the three fields. Regarding the tunability of the device, we can see that a shift of the pump wavelength as small as 5.2 nm requires a spectral separation for the seed and difference frequency waves of 570 nm. This is due to the strong dispersion in the vicinity of material bandgap [44], and it turns out to be a great advantage regarding the fabrication of integrated source tunable in the near infrared for instance.
\n\t\t\t\tNormalized DFG spectra obtained for three different pump wavelengths (the seed peaks are clipped due to the lock-in finite dynamic range).
The combined study of SHG and DFG allowed us to fully characterize our form birefringent partially oxidized AlGaAs waveguides in terms of tunability and parametric gain. While this device strongly benefited from technologic improvements in terms of design, etching and oxidation, its performances compare favorably with respect to other alternative phase-matching approaches, but they are still limited by optical losses, which prevented so far the observation of SPDC. However, the reported figures are strongly motivating in view of the fabrication of a telecom source of quantum light. Indeed, for a 2 mm long waveguide, we theoretically estimate a parametric fluorescence efficiency of ηPF ~ 1.7×10-8 pairs/pump photon, whereas a significant reduction of optical losses to ~1 cm-1 would lead to ηPF ~ 3×10-7 pairs/pump photon,
Tuning curve: experimental data (colored dots) and theoretical prediction (grayscale).
To date, the performances of partially oxidized AlGaAs waveguides are mitigated by high propagation losses (~1 cm-1 in the infrared). As a comparison, typical PPLN waveguide losses are in the range of few 0.01 cm-1, enabling the fabrication of several cm-long devices. Since optical propagation losses play a major role in all guided-wave phase-matching schemes proposed so far in the AlGaAs platform, their reduction is a critical issue.
Promising results have already been obtained by decreasing the losses after optimization of the waveguides design and the oxidation parameters, but today, a better understanding of the propagation losses origins is necessary if we want to lower them even more. Indeed, many aspects of the oxidation process are still not clearly established, including the exact formation mechanisms and the fine chemical and structural properties of the oxide. Therefore a transmission electron microscopy characterization of oxidized layers has been carried out [45] to assess the quality of the material at microscopic scale.
\n\t\t\t\t\t
The fabrication of cross-section samples has been carried out with an ion slicer used to perform the thinning of a waveguide oxidized guiding core. Based on high resolution transmission electron microscopy pictures combined with power spectrum analysis and energy filtered transmission electron microscopy images, it has been shown that:
\n\t\t\t\tGaAs surrounding AlOx becomes amorphous in the close vicinity of the oxidized layers (~20 nm from the interface) and remains mono-crystalline beyond.
Residual oxidation of the neighboring GaAs and Al0.7Ga0.3As layers occurs through the interfaces, over 3 to 9 nm. The richer in aluminum the deeper an AlGaAs layer gets oxidized.
The oxidation of Al0.98Ga0.02As results in a 12% contraction of the layers thicknesses.
AlOx layers are composed of γ−Al2O3 polycrystalline grains, with size between 10 and 20 nm, embedded in an amorphous AlOx matrix.
\n\t\t\t\t\t
Additionally, the internal interfaces were investigated by high-angle annular dark-field (HAADF) scanning transmission electron microscopy. Figure 10 shows two images of the same waveguide core area acquired before and after oxidation. Oxidation is obviously responsible for the deterioration of the multilayer morphology, as rough interfaces are clearly visible afterwards, especially at the bottom interface. The acquisition of several of such pictures contiguous over about 700 nm allowed us to reconstruct the respective roughness profiles. Gaussian fits of their autocorrelation functions have been performed in order to reliably extract their stochastic parameters: the RMS amplitude σ and the coherence length Lc. The results are summarized in Table 3 for the different types of interfaces.
\n\t\t\t\tHAADF images of an Al0.98Ga0.02As layer (in dark) embedded in GaAs (Top) and Al0.7Ga0.3As (Bottom), before (Left) and after oxidation (Right).
\n\t\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t0.37 | \n\t\t\t\t\t\t\t0.37 | \n\t\t\t\t\t\t\t0.53 | \n\t\t\t\t\t\t\t0.69 | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t0.08 | \n\t\t\t\t\t\t\t0.08 | \n\t\t\t\t\t\t\t0.08 | \n\t\t\t\t\t\t\t0.06 | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t4 | \n\t\t\t\t\t\t\t4 | \n\t\t\t\t\t\t\t53 | \n\t\t\t\t\t\t\t30 | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t0 | \n\t\t\t\t\t\t\t0 | \n\t\t\t\t\t\t\t14 | \n\t\t\t\t\t\t\t7 | \n\t\t\t\t\t\t
Measured RMS amplitudes and coherence lengths for two types of interface, before and after oxidation.
For such step index waveguides with high index contrasts, optical modes are highly sensitive to any irregularities. We remind that the devices presented here are passive, and consequently the semiconductor alloys are chosen to be transparent for the wavelengths involved in the nonlinear process. Hence, assuming a good confinement by design,
Since the index contrast between AlOx and γ-Al2O3 is negligible, the polycrystalline grains are not expected to contribute significantly to scattering losses. Based on the previous observations, our work hypothesis was then to ascribe the optical propagation losses of the guided modes to scattering by the rough AlGaAs/AlOx boundaries.
\n\t\t\tThe study of scattering losses in semiconductor waveguides is of great practical interest in the field of integrated optics, and since Marcuse’s early work [46] a large amount of research has been done in this area. Most of the recent roughness studies in dielectric waveguides are now based on the convenient Lacey and Payne model [47,48], which offers the advantage to provide a semi-analytical expression for TE-mode losses, quite simply expressed in terms of fundamental waveguide parameters and statistics of the surface roughness.
\n\t\t\t\t(Left) Schematics of rough interfaces in a slab waveguide. (Right) Schematics of the adaptation to our multilayer selectively oxidized waveguide.
The Lacey and Payne model deals with a three-layer slab core/cladding waveguide with rough interfaces as shown in Figure 11. It provides the scattering contribution to the propagation losses via the direct computation of the radiated far field, with the equivalent-current method [49]. Within this approach, it is possible to derive an expression for the exponential radiation loss coefficient due to scattering by the roughness, in a symmetric single mode waveguide of thickness 2d:
\n\t\t\t\tWhere φ(d) is the modal field evaluated at the waveguide core/cladding interface, normalized following:
\n\t\t\t\tn1 and n2 are the core and cladding refractive indices respectively, k0 is the free-space wave vector, β is the modal propagation constant associated to the effective index neff, r and t are the respective reflection and transmission Fresnel coefficients and θ is the photon scattering angle with respect to the interface. The surface roughness of the waveguide walls is described by the spectral density function, which is obtained from the autocorrelation function R(u) of the surface roughness via the Wiener-Khinchine theorem:
\n\t\t\t\tThis model requires two input parameters: the mean square deviation from a flat surface σ2 and the correlation length Lc. The parameter σ2 is related to the autocorrelation function by R(0)=σ2, and the coherence length Lc of the interface profile corresponds to the half-width at half maximum of the Gaussian fit of the interface profile autocorrelation function.
To adapt this model to our multilayer structures, we ideally separate the waveguide in several microstructures. In Figure 11 we also show a scheme of one of our device, for which the interfaces are bunched in groups of two, in order to mark off regions with refractive index n1 higher than the two adjacent ones n2. The core of each of these six microstructures, sandwiched between AlOx layers and bounded by rough interfaces, is identified and numbered from 1 to 6. Its refractive index is the one of the appropriate alloy (GaAs or Al0.7Ga0.3As).
In order to infer a rough estimate of the optical losses for the fundamental optical TE0 mode, we compute αi (i=1,6) the losses of each microstructure, then we simply convert the equation (2) under the assumption that each contribution adds up incoherently with the others:
\n\t\t\t\tAt this point, we should stress that our adaptation is very simplistic and its derivation is only qualitative.
\n\t\t\tAmong the several different ways to measure optical losses, the Fabry-Perot fringes measurement is the most suitable technique for low-loss waveguides [50]. Unlike the cut-back method, it has the advantage of not being destructive, and contrary to transmission measurement, it is independent of coupling and collection efficiencies estimations. In this frame, we can picture the waveguide as a resonator in which guided modes are reflected by the cleaved facets and travel in both directions. By scanning the wavelength of the input wave, we observe a multiple wave interference pattern at the output, namely the Airy function of the cavity. The contrast and finesse of the resonances are straightforwardly linked to the number of waves participating to the total interference, therefore to the reflection (estimated by FDTD simulations) and propagation losses experienced by the traveling modes.
In order to test our hypothesis and investigate the optical loss mechanisms, we carried out a study on their spectral dependence. The results are reported in Figure 12, for both the structures presented previously. According to our phase-matching scheme, the data around λP represent the TM00 losses, whereas the data at wavelength close to degeneracy represent the TE00 losses.
The data were obtained by using external cavity diode lasers tunable in the telecom band from 1.3 to 1.6 μm, and a slightly tunable DFB laser around 2.12 μm. However we resorted to transmission measurements of a CW Ti:Sapphire laser around 1 μm and below, where losses were found to be too high to be reliably inferred from Fabry-Perot fringes.
\n\t\t\t\tPropagation losses vs. Wavelength, fitted by decaying exponential (red curves) for short wavelengths, and inverse-power law (blue curves) for long wavelengths. The left (resp. right) figure corresponds to the OPO (resp. TTPS) structure.
Two different regimes are apparent: for wavelengths below ~1.1 μm, data are well fitted by decaying exponential curves (red lines), whereas their decays follow inverse power laws above ~1.1 μm.
For the longest wavelengths involved, losses are fairly low (around 1 cm-1 and less) and can be ascribed to the interfaces roughness that appears during oxidation. Indeed, the reasonable agreement between the experimental data (black dots) and the prediction band derived from our simple semi-analytical model (blue bands) confirms that, in this spectral range, losses are dominated by the scattering contribution in a Rayleigh-like regime. Note that this result is consistent with previous work achieved on an older generation of similar waveguides [51], in which losses were probed by scattered light measurements, and they were also found to decrease between 1.3 and 2.1 μm.
For shorter wavelengths, our previous assumption is inadequate and a new loss mechanism must be considered. The very high losses and their exponential decay with wavelength suggest an Urbach’s tail absorption, highlighting the fact that not only surface imperfections but also volume defects at the oxide interfaces play a critical role. As was already noticed several years ago [40], these additional losses are likely to be ascribed to arsenic antisites formed during oxidation at the oxide-semiconductor interface [52]. Trapped reaction products (
These levels of pump losses are currently the limiting factor for the efficiency of our AlGaAs integrated devices. Nevertheless, as shown by existing research on quantum-well luminescence close to oxidized layers [52] hydrogenation can be effectively used to remove absorbing species trapped at the oxide interfaces. Thermal annealing cycles are also expected to improve the crystallinity of spoiled materials. Moreover, a study on the spatial distribution of the mechanical strains arising from the volume shrinkage of oxidized thin AlAs layers showed that a critical overstrained zone appears at the merging point of the two counter-propagative oxidation fronts [53]. In our case, this could be an additional source of concern since the maximum intensity of the optical modes is at the confluence of the oxidation fronts. In order to circumvent such over-oxidation issue, new innovative designs are being tested (
Despite the fact that propagation losses have prevented the use of form birefringent phase-matching scheme at its full potential, we are able to design and fabricate reasonably low-loss integrated waveguides. At the moment, aluminum oxide remains very promising for our photonic applications but its quality is not yet compatible with the most demanding nonlinear devices. Various investigations of its fine properties allowed us to better understand the loss mechanisms involved, and they gave us clues for their minimization. Improvement of the oxide quality is necessary for further significant progress, and will only occur after a specific technological development of the oxidation process, starting with the solutions evoked above which are currently under exploration.
\n\t\t\tA standard way to enhance nonlinear optical interactions consists in the insertion of the χ(2) parametric gain medium into an optical resonator. The large amount of energy resulting from the light confinement inside the cavity enables to trigger nonlinear processes with lower input powers and larger efficiency. To this purpose, we have been focusing on the fabrication of an integrated resonant cavity. Indeed, regarding the realization of an OPO, the modest single-pass parametric gain in our waveguides makes the quality of the cavity mirrors critically important towards the reach of the oscillation threshold. One should stress that, in a 2 mm-long cavity, the mirror losses αM=-ln(R1R2)/2L becomes of the order of the typical 1 cm-1 propagation losses as soon as their reflectivity reaches 82%.
As a trade-off between the pump power threshold and the spectral stability and tunability of the oscillator, we opted for a symmetric doubly resonant configuration (DROPO) with single pass of the pump, in which case the steady-state pump threshold at degeneracy PP\n\t\t\t\t\tth reads [54]:
\n\t\t\t\tWith ηnorm the waveguide normalized conversion efficiency, αP the pump losses, αS,I the signal and idler losses, L the waveguide length and RS,I the modal reflectivity at signal and idler wavelength. Consequently, for a 2 mm-long device, by plugging in our typical values of parametric gain and losses we can see that mirrors with reflectivity as high as 98.3% are required to have a threshold power of 100 mW, which is the maximum power that we can safely couple into the waveguide. The fabrication of such a demanding integrated cavity is all the more challenging that the adhesion of coating is made tricky, due to AlAs layers shrinkage during oxidation [55] producing non-ideal facets with possible irregular surface and mechanical stress. The high quality of the sample surface and waveguide sidewalls must also be preserved since the slightest deterioration would lead to additional scattering losses.
The solution we adopted to place our nonlinear waveguide in a DROPO resonator is the fabrication of integrated SiO2/TiO2 Bragg mirrors. The choice of these two materials has been dictated by the need to keep the thickness of the dielectric stack to a minimum thanks to their high-index contrast. The multilayer structures corresponding to the chosen cavity configuration are designed using commercial software [56] by implementing 1D transfer matrix algorithm along with optimization routines. They are then deposited by Ion beam Assisted Deposition (IAD) onto the cleaved facets of a sample, whose surface is protected from dielectric material overspray with a photoresist film lifted afterwards.
\n\t\t\t\t\tFigure 13a shows an experimental FTIR spectrum of a 6 bi-layers dielectric stack deposited on silicon substrate along with data acquired by focusing lasers with different wavelengths below a waveguide facet. The fair agreement between the experimental sets of data acquired on both the silicon and the sample substrates shows that the adhesion of the coating is satisfactory. The cleanliness of the sample surface can be appreciated on the scanning electron microscopy pictures provided in Figures 13b-c, where the dotted line highlights the edge of the waveguide.
\n\t\t\t\ta) Experimental FTIR reflectivity spectrum of a cavity mirror, measured on a silicon substrate (dashed blue line) and below waveguide facet (red squares). b) and c) Bird’s views of a mirror deposited on a waveguide facet.
In order to quantitatively evaluate the coating optical quality, the modal reflectivity of the deposited mirrors was inferred from the study of the Fabry-Perot fringes. The Airy functions, presented in Figure 14 were acquired with a DFB laser diode slightly tunable around 2.12 μm injected in a waveguide respectively without and with one coating. From the modification of the cavity finesse, increasing from 1.7 to 3.9, we can deduce a modal reflectivity of ~85% at this wavelength. The significant discrepancy from the designed nominal value of 98.5% can be explained by the simplicity of the design procedure that only considers plane waves perpendicularly impinging on an infinite surface mirror. Indeed, the effects of the guided-mode numerical aperture and the finite transverse dimensions of the mirror are not taken into account.
Finally, SPDC experiment has been achieved in those integrated cavities. The TM-polarized pump beam of a CW Ti:Sapphire laser, tunable around 1 μm, was injected through a ×60 (0.85 N.A.) microscope objective into a 2-mm long waveguide with both facets coated. The device output was collected and collimated by an identical objective. Then it was passed through a germanium window to filter out the pump beam. Finally, the TE-polarized parametric fluorescence signal around 2 μm was focused on a strained InGaAs photodiode and detected with a lock-in amplifier. In Figure 15 we have plotted the external signal power measured after the exit mirror as a function of the external pump powerfocused onto the entrance mirror, while the pump wavelength was set at degeneracy. The nonlinear trend at high pump powers may be evidence that the nonlinear process tends to go beyond the low-gain regime. However, given the estimation of modal reflectivity, the oscillation threshold is currently out of reach. But beyond the demonstration of an integrated OPO, the scope of these technological results is very broad and could concern various types of integrated AlGaAs-based nonlinear devices.
\n\t\t\t\tFabry-Perot fringes of bare waveguide (orange) and semi-cavity (green) acquired around 2.12 μm.
Generated output signal power vs. Input pump power (external values).The linear fit at low power (red solid line) points out the superlinear trend at high power.
In this chapter we have shown that the field of semiconductor sources would largely benefit from the development of integrated AlGaAs nonlinear devices. Indeed, the demonstrations of an integrated OPO or a TTPS, for example, would have a great impact on applications such as optical spectroscopy and quantum telecommunications. The work presented in this chapter is part of the sustained research activity led on these two fronts.
Different technological solutions have been realized to fulfill the phase-matching condition necessary for efficient AlGaAs-based frequency converters. Thus it is interesting to compare their respective characteristics and performances.
It should first be noted that our “OPO structure”, designed for guided-wave parametric down-conversion of a 1.06 μm CW pump, cannot be straightforwardly be compared to any other AlGaAs device. Indeed, the closest existing research, which is on OP-GaAs OPOs, is not focusing at the moment on monolithic integration but rather on applications such as metrology or gas spectroscopy. Furthermore, because these setups have been operated in pulsed regime at first, the pump wavelength is fixed above 1.8 μm to avoid two-photon absorption in GaAs. Consequently, these crystals are optically pumped around 2 μm, and their degeneracy is typically between 4 and 5 μm.
The “TTPS structure” however is topical, as confirmed by the continuous track record of design and experimental results on 0.775-to-1.55 μm frequency conversion in semiconductor devices. An overview of the current state-of-the-art is given by Table 4, in which we reported the loss values, generated power, normalized conversion efficiency and spectral acceptance of type I CW SHG experiment for several phase-matching schemes. The figures in bold (resp. in italics) correspond to the best (resp. second best) value of each column.
This provides us with a synoptic vision of the strength and weakness of respectively modal phase-matching [57], QPM [24] and form birefringence phase-matching [9,38]. It is then quite clear that, regarding conversion efficiency, form birefringence phase-matching compare favorably with respect to modal phase-matching and QPM. Moreover, low infrared losses and high generated powers are enabled by optimized design and fabrication processes. The very high losses in the visible are caused by the presence of AlOx layers, and they are the current limiting factor of this phase-matching strategy. The resulting broadening of the χ(2) process spectral acceptance may in turn be an issue for experimental protocols requiring spectrally narrow and pure sources of telecom twin-photons.
\n\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t | \n\t\t\t\t\t\t
\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t7.8 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t0.023 | \n\t\t\t\t\t\t6.8 × 10-3\n\t\t\t\t\t\t | \n\t\t\t\t\t\t\n\t\t\t\t\t\t\t | \n\t\t\t\t\t
\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t92 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t\t | \n\t\t\t\t\t
\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t5.3 | \n\t\t\t\t\t\t70 | \n\t\t\t\t\t\t10-4\n\t\t\t\t\t\t | \n\t\t\t\t\t\t\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t10 | \n\t\t\t\t\t
\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t140 | \n\t\t\t\t\t\t\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t\n\t\t\t\t\t\t\t | \n\t\t\t\t\t\t3 | \n\t\t\t\t\t
Summarize of the characteristics and performances of devices implementing different phase-matching schemes.
In conclusion, we have shown that, although the choice of AlGaAs/AlOx nonlinear waveguides is relevant to fabricate highly efficient integrated frequency converters, losses remain the main bottleneck and prevent further breakthrough. Nevertheless, progress has been made by investigating the different loss mechanisms, and a specific technological development of the AlAs oxidation process is expected to reduce further optical losses. Finally, we have demonstrated the feasibility of monolithic integrated Fabry-Perot cavity, by depositing highly reflective dielectric mirrors on the waveguide facets.
\n\t\tThe authors warmly acknowledge Alessio Andronico for help in the simulations, and Guilhem Almuneau for experimental help.
\n\t\tPolycyclic aromatic hydrocarbons (PAHs) comprise a large variety of organic compounds whose main characteristic is that they are formed by the fusion of benzene rings [1]. PAHs are originated mainly from incomplete pyrolysis of organic materials. Pyrolysis is the process in which organic compounds such as fuels undergo a change in the molecular structure at high temperature without sufficient oxygen concentration. These reactions are mainly dependent on temperature and concentration and are generally endothermic [2].
During combustion at high temperatures and relatively low amounts of oxygen, part of the combustible material is fragmented into small molecular masses, usually to free radicals by pyrolysis (approximately 500–800°C), which recombine to give rise to the PAHs by pyrosynthesis by decreasing the temperature. Once PAH of low molecular weight is formed, (e.g., naphthalene, 128) the pyrosynthesis process continues with “zigzag additions,” which generates high molecular weight PAH [3].
PAHs are categorized as low molecular weight (LMW) and high molecular weight (HMW) based on molecular structure. The LMW PAHs include two and three rings structure while HMW PAHs comprise four and more rings structure. The carcinogenicity of PAHs increased with increasing molecular weight [4].
PAHs are ubiquitous pollutants in the atmosphere. The behavior of PAHs in the atmosphere depends on complex physicochemical reactions, interactions with other pollutants, photochemical transformations, and dry and wet deposition. PAHs in the ambient air exist in vapor phase or adsorb into airborne particulate matter depending on the atmospheric conditions (ambient temperature, relative humidity, etc.), the nature (i.e., origin and properties) of the aerosol, and the properties of the individual PAH [5]. The physicochemical properties of PAHs make them highly mobile in the environment, allowing them to distribute across air, soil, and water bodies where their presence is ubiquitous. PAHs are widely distributed in the atmosphere. The PAHs entering the atmosphere can be transported over long distances before deposition through atmospheric precipitation onto soils, vegetation or water [5].
The adsorption of PAHs onto particulate phases can also be affected by the humidity. Moreover, PAH adsorption also depends on the types of suspended particulates (e.g., soot, dust, fly ash, pyrogenic metal oxides, pollens, etc.) and the amounts of dust in the air influence PAH concentrations in the particulate phase [5].
PAHs are known to be toxic and carcinogenic [6]. They are metabolized in the body through oxidation by P450 enzymes and may produce carcinogenic metabolites. These metabolites have been shown to induce lung and skin tumors in animals [7]. People can be exposed through polluted air from urban or industrial environments, tobacco smoke, and diet [6]. The carcinogenicity of the PAHs usually increases with increased number of aromatic rings and higher molecular weight, while low molecular weight PAHs are more acute toxic [7]. Many hundreds of PAHs exist in the environment, but the US Environmental Protection Agency (USEPA) has listed 16 as “Consent Decree” priority pollutants chosen because, because of the likelier risk to be exposed to them, the high amount of information about them, and that they are believed to be more harmful [7] (Table 1).
Some characteristics and carcinogenic classification for PAHs.
The partition of PAHs between gas and particulate phases in the atmosphere fundamentally depends on the vapor pressure, temperature, atmospheric pressure, and the concentration [8, 9]. PAHs having two rings exist in the gas phase, PAHs having three and four rings are in both phases and PAHs having five rings or more exist in the particle phase [10].
The standard methods to measure PAHs in ambient air are active samplers, and these equipment use a pump to draw the air into the sampler, through the filter and the following adsorbent.
The samplers have a sampling module which often consists of two compartments: a filter and a solid adsorbent to collect the particle associated and the gas phase pollutants, respectively. The filter, often teflon, glass or quartz fiber, is placed in the inlet of the sampler [11, 12, 13, 14, 15]. The solid adsorbent normally consists of a polyurethane foam (PUF) plug or a sorbent tube with XAD-2 or Tenax depending on the target pollutants and the capacity required; the adsorbent also retains pollutants that volatilize from the particles on the filter during sampling.
The other alternative is passive samplers, in contrast to active samplers, not in need of a pump and electricity to collect pollutants. Instead, the collection is based on a free flow of pollutants from the air to the collecting medium. Most of the existing passive samplers are designed for gas sampling of semi-volatile organic compounds and based on high capacity sampling against a linear sampling rate for long durations such as weeks or months. Polyurethane (SPMDs), XAD-resin based samplers and membrane samplers are such examples [16, 17, 18].
In conclusion, sampling equipment can be active or passive, must be compatible and consistent with the analysis method and the monitoring objectives.
Given the complexity of environmental matrices, specialized analytical procedures are required for the determination of PAHs. The analytical procedures must include different stages for extraction of compounds from complex samples, purification and detection techniques for multicomponent mixtures that consist of compounds with a wide range of molecular weights, volatilities and polarities.
The extraction of PAHs from airborne particulates is mainly done through methods based on the use of solvents [19]. Being soxleth and ultrasound techniques the most commonly used for extracting soluble organic matter [20]. Subsequently, other solvent-based methods have been developed, accelerated solvent extraction and microwave extraction, both methods have the characteristics that use less solvent and extraction time [21, 22]. Finally, solid phase microextraction (SPME) was adapted for the extraction of PAHs associated with airborne particles, specifically for those of low molecular weight (less than four rings). The main characteristic of this method is that it uses very small amounts of solvents compared to the other extraction techniques mentioned [23]. Table 2 shows a summary of the main techniques for the extraction of organic compounds from environmental matrices, some characteristics and applications.
Techniques | Characteristics | Analytes | References |
---|---|---|---|
Soxhlet | It has been so far applied for organic compound extraction from solid matrices due to its high extraction efficiency | PAHs, polybrominated diphenyl ethers (PBDEs), polychlorinated biphenyls (PCBs), among others | [29, 30, 31] |
Ultrasound assisted extraction (UAE) | Ultrasound energy has also been widely used for the leaching of organic and inorganic compounds from solid matrices | Pharmaceutical Endocrine disruptor compounds (EDCs), perfluorochemicals (PFCs), antibiotics, tetrabromobisphenol-A (TBBPA) PAHs, phthalate esters (PEs), PCBs, nonylphenols (NPs), nonylphenol ethoxylates (NPEOs) and pharmaceuticals and personal care products | [32, 33, 34, 35] |
Pressurized liquid extraction (PLE) | Pressure is applied to allow the use of extraction solvents or mixtures at temperatures higher than their normal boiling point. The increase on the extraction temperature can promote higher analyte solubility by increasing both solubility and mass transfer rate | Perfluorinated acids (PFAs), perfluorosulfonates (PFSs) and perfluoroctanesulfonamide PAHs | [36, 37] |
Microwave-assisted extraction (MAE) | Microwave-assisted extraction (MAE) uses microwave energy to heat the sample-solvent mixture. This technique reduces the extraction times and the extractant amount for the extraction of organic compounds from solid matrices | PAHs in airborne particles, 17-estradiol (E2), estriol (E3), 17-ethinyl estradiol (EE2) | [38, 39] |
Supercritical fluid extraction (SFE) | Supercritical fluid extraction is an alternative extraction method with the advantages of reduced solvent consumption and extraction time compared with the classical extraction techniques. Carbon dioxide is commonly used as fluid and methanol is added as organic modifier when polar compounds are extracted | PAHs in marine sediment | [40, 41] |
Solid Phase Microextraction (SPME) | It is used specifically for the extraction of low molecular weight organic compounds, from liquid, air and solid matrix | PAHs or polybrominated biphenyls (PBBs) | [42] |
Classification of the main extraction techniques, characteristics and applications.
PAHs extracts from airborne particulate matter represent a very complex matrix in trace amounts, which contain saturated hydrocarbons, nitrogen, oxygen, and sulfur heterocompounds, among others, what difficult the identification of the PAHs identification in environmental samples [24, 25, 26]. After liquid extraction, a cleanup procedure is recommended to eliminate some interferences that can affect the PAHs detection in the chromatographic analysis. The most common cleanup procedures are as follows: liquid-liquid extraction (LLE) and solid phase extraction (SPE) with silica gel and/or C18 cartridges [27, 28].
Traditionally, the analysis of PAHs in environmental samples has been carried out by gas chromatography (GC), rather than liquid chromatography (LC), and this is due to its greater selectivity, resolution and sensitivity. GC-MS is one of the most powerful analytical tools available for the chemical analysis of complex mixtures. The use of mass spectrometry enhances the capabilities of gas chromatography; the specific information provided in the mass spectrum makes the mass spectrometer a highly selective detector that can be used for qualitative analysis and structural determination.
Mass spectrometry is undoubtedly one of the most widely used for the analysis and characterization of chemical compounds due to its high sensitivity and resolution capacity. Then, when it is coupled to the chromatographic techniques, it is particularly useful in the identification and quantification of organic substances of interest, which are in trace concentrations in environmental samples, it is highly valued mainly for its high sensitivity, that is, it is feasible to quantify those substances contained in a sample quantity of the order of mg.
One of the main disadvantages of mass spectrometry is the conditions used for the generation of stable ionized species and their adequate detection. This process can be a limitation to clearly observe the molecular ion and, therefore, perform a detailed analysis of the chemical structure. In the literature, a significant number of ionization methods have been reported, which depend on the physicochemical properties of the system in question. However, ionization is not the only limitation in mass technique; there are previous problems such as the distinction of different structures when analyzing complex mixtures. Therefore, the use of chromatography as a separation technique is essential for environmental samples such as those obtained in the ambient air, while after the ionization is the analyzer that is where the ionized species are separated and detected, they are also of great importance for analysis.
The criteria considered the most relevant in mass spectrometry are as follows: sensitivity, resolution, stability and selectivity; that depending on the level we need to reach each one of these, there are several types of coupled mass spectrometry equipment arrangements, so their choice depends mainly on the different chemical systems and the scope of the analysis. In the case of air samples such as gases and respirable suspended particles, the unambiguous quantification and identification of the analyte are the main objectives; therefore, the standardization and prior validation of the method used are essential, so it is necessary to carry out several preliminary tests with specific equipment arrangements in order to achieve reliable results.
The mass spectrometer is among the most sensitive chromatographic detectors, having a detection limit below the picogram level, through the use of selected ion monitoring (SIM) mode. PAHs are easily resolved using standard GC columns without a requirement for derivatization. Most separations can be achieved in less than 30 min using capillary columns such as 30 m × 0.25 mm i.d. and 0.25 μm film thickness, 5% phenyl polysiloxane type phases. The use of a narrow bore, thin film column allows an increase in chromatographic resolving power, coupled with a reduction in analysis time.
GC-MS method has been used to all or some subset of the US Environmental Protection Agency (US-EPA) 16 priority PAHs. Single quadrupole GC-MS has offered the opportunity to increase selectivity for these analytes over that of classical detectors, such as UV and fluorescence detectors in high pressure liquid chromatography (HPLC) and electron capture detector (ECD) and flame ionization detector (FID) detectors in GC. This has allowed for limited optimization of sample preparation procedures to increase time to result [43, 44].
Quadrupole mass analyzers are widely used in many areas of environmental analysis. Although popularly referred to as quadrupole mass spectrometers, the mass-resolving properties of such devices are really much more similar to those of a tunable variable hand pass mass filter. Only ions within a narrow mass region (generally <1 amu) are allowed to pass through the device.
Quadrupole mass analyzers have several advantages such as no requirement for very high vacuum (>10–7 Torr) and their relatively fast and simple operation for high-throughput analysis. Disadvantages include low transmittance, a low m/z cutoff, and low (generally unit) resolution. Electron impact (EI) is well established and is the most common method of ionization in gas chromatography (GC) [45]. The molecules exiting the gas chromatograph are bombarded by an electron beam (70 eV), which removes an electron from the molecule resulting in a charged ion.
EI mode produces single charged molecular ions and fragment ions, which are used for structure elucidation.
The generated mass spectrum plots the signal intensity at a given m/z ratio (Figure 1).
Mass spectrum for methanol obtained by electronic impact [
Mass spectrometric methods are particularly suited for analysis of PAHs, because these compounds are semi-volatile and occur as complex mixtures; electron ionization (EI) and chemical ionization (CI) with quadrupole or magnetic sector mass spectrometers have been effectively used to determine PAHs. Although distinguishing between the isomeric forms of PAHs using EI is difficult because the isomers tend to produce common intermediates that give identical losses upon high-energy ionization or collisional activation [46].
For example, when trying to distinguish between compounds with the same or similar molecular weight, the GC-MS coupling is difficult, given its low resolution, Figures 2 and 3 show the separation of chrysene and triphenylene and mass spectrum respectively. The quantification of chrysene is often biased due to its coelution with triphenylene (the compounds with m/z 228 also contain fragments of m/z 226). Another case is the separation of the isomers of benzo(b, k, j)fluoranthene (252 m/z).
Examples for PAHs separations with similar molecular weight [
Mass spectrum for chrysene and triphenylene [
As seen in the previous examples, the mass spectrum with a single quadrupole is limited to distinguish among compounds that have structural isomers, since it only considers a single identification criterion, in fact they show a similar mass to charge fragmentation patterns (Figure 4). Recently, the coupling gas chromatography coupled to triple quadrupole mass spectrometry (GC-QqQ) was developed. Comparing triple quadrupole analyzer (QqQ) with single quadrupole analyzer, the product ion is more specific than the ion in the simple MS spectrum because the tandem configuration offers the only alternative of selecting the precursor ion of each compound by the first quadrupole and filtering it into the collision cell, with the consequent elimination of the remaining fragments and consequently the decrease in noise (Figure 5). Then that mass to charge pattern obtained by the second spectrometer, which is derived from the collision of the parent fragment, this usually has a unique pattern mass to charge daughter that provides invaluable structural information of the substance, which decreases the probability of false positives and facilitates the unequivocal identification of the target compound. It is clear that the coupling substantially solves the difficulties of simple couplings and can significantly improve the reliability of the determination by offering lower noise levels and additional identification criteria. Several reports show the utility of different arrays of mass spectrometers coupled to gas and liquid chromatographs used for the PAHs and their derivatives analysis. Among the most used is the triple quadrupole GC–MS/MS system, which provides detection and quantification levels equivalent to parts per trillion.
Triple quadrupole mass analyzer (QqQ) [
Chromatogram 14 PAHs by GC-QqQ (own authorship).
For instance, the unequivocal identification of B(
Mass to charge (m/z) transitions (a) and (b).
Scheme of the gas chromatography bidimensional (GC × GC): peaks eluting from the first dimension column enter the second dimension column through the modulator [
For these characteristics, recently the GC-QqQ has been proposed for the quantification of the PAHs and its derivatives. Its characteristics have proved to be useful for example in the determination of nitro-PAHs in PM10 particles obtained with low sample volume (16.7 lpm). This implies a lower mass of the compound per gram of particle collected per day, and without an exhaustive treatment and sample purification need as those that are followed for particles obtained from high volume samplers (1.3 m3/h). An analytical method was recently developed for the simultaneous determination of 14 nitro-PAHs (2-nitrofluorene, 9-nitroanthracene, 9-nitrophenanthrene, 3-nitrophenanthrene, 2-nitroanthracene, 3-nitrofluoranthene, 1-nitropyrene, 2,7-dinitrofluorene, 7-nitrobenzo [a]anthracene, 6-nitrochrysene, 1,3-dinitropyrene, 1,8-dinitropyrene, 1,6-dinitropyrene, and 6-nitrobenzo[a]pyrene) in PM10 by GC-QqQ in multiple reaction monitoring (MRM) mode. The method performance evaluation showed that the technique is quite reliable, since it provides high repeatability with relative standard deviation <10% and with detection limits between 0.25 and 10 ng/mL. This was also facilitated its application to only half of the filter containing the sample, in this way the remaining part served to complement the chemical characterization of the sample [50]. In the MRM mode, as the name implies, in the first quadrupole (Q1) one or multiple precursor ions of the analyzed substance were are filtered, which react by fragmenting in the collision cell (Q2), until arriving at the second quadrupole (Q3), where the ions product of the quantification and qualification are filtered. The results of this type of analysis are highly specific and sensitive because they provide unique structural information of the molecule that leads to its identification and unambiguous distinction between other substances contained in the sample [50].
Gas chromatography with tandem mass spectrometry has also been successfully applied for the determination of precursor PAHs. Although they are found in environmental levels between one and two orders of magnitude higher than their derivatives, they are trace concentrations substances, which are similarly affected by the different interferences that may come in the samples and by the matrix effect in the extracts. Therefore, the organic extract must be purified before its analysis by GC-MS [51]. However, it was shown that when samples obtained with high volume equipment are analyzed, the extraction is sufficient, and the purification of the extract can be dispensed with before its analysis by GC-MS/MS [52].
Another coupling proposed for the analysis of the nitro-PAHs and oxy-PAHs derivatives is the ultrahigh pressure liquid chromatography-atmospheric pressure chemical ionization-tandem mass spectrometer (UHPLC-(+)-APCI-MS/MS). In addition to the stated advantage of the tandem arrangement, this alternative technique aims to contribute to reducing the thermal degradation that has been consistently reported for those oxy-PAHs classified as quinones in the injection port of the GC. Thus, facilitating their simultaneous analysis with the nitro-PAHs, and taking advantage of the improvements in the sensitivity and selectivity in the determination in organic and aqueous extracts obtained from PM2.5 and PM10 particles. It has also been found that chemical ionization at atmospheric pressure (APCI), and photoionization at atmospheric pressure provides high ionization efficiency for oxy-PAHs, while electrospray ionization efficiency is usually lower [53]. In a pioneering study, it was shown that liquid chromatography atmospheric pressure chemical ionization-tandem mass spectrometer (LC-APCI-MS/MS) is feasible for the determination of oxy-PAHs and can contribute to the simplification of sample preparation by reducing it to an extraction and evaporation step [54]. Consistently, in a study of the simultaneous analysis of 5 nitro-PAHs—1-nitropyrene (1-NPYR), 2-nitrofluorene (2-NFLU), 3-nitrofluoranthene (3-NFLUANTH), 9-nitroanthracene (9-NANTH), 1,5-dinitronaphthalene (1,5-DNNAPHT)—, 3 oxy-PAHs-2-fluorenecarboxaldehyde (2-FLUCHO), and 5,12-naphthacenequinone (5,12-NAPHTONA), it showed that the LC/MS arrangement provides a high degree of sensitivity and selectivity for the determination of these substances. In fact, it was demonstrated that it allowed the feasibility of its application to real samples. However, it was only possible to reliably report environmental levels of four of eight of these substances, at atmospheric concentrations between 0.01 and 240.62 ng/m3, equivalent to 0.3 and 30 mg/g, respectively [56] (Table 3).
Location | Compounds | Equipment | Ionization mode | References |
---|---|---|---|---|
Industrial area of Taranto, Italy | Nitro-PAHs in airborne, PM10 | GC/MS triple quadrupole | EI+ | [48] |
Seoul, Korea | PAHs in PM2.5 airborne particles | GC-GC-TOFMS | ESI+, APPI+ | [55] |
Buenos Aires, Argentina | Oxy-PAHs and nitro-PAHs airborne, PM2.5 and PM10 | UHPL-MS/MS triple quadrupole | APCI+ | [53] |
Zaragoza, Spain | PAH associated to the airborne particulate matter, PM10 | GC/MS triple quadrupole | EI+ | [51] |
Application of the GC/MS coupling for the analysis of PAH and its derivatives.
The widespread use of capillary columns in the 1980s improved significantly the separation power of complex mixtures. This positioned gas chromatography as the technique of choice whenever analyzing volatile substances. However, it soon became clear that in some fields, the separation capacity offered by a single chromatographic column was not sufficient. For example, in the case of the oil industry, environmental applications or aroma analysis, whose separations are highly complex, often result in a chromatogram with a large portion of unresolved components [57]. Mass spectrometry can be used to resolve some of the complexity, but large concentration differences and structural isomers can complicate the spectral interpretation and data analysis. Some chromatographic resolution can be improved with an efficient, long, narrow bore, thin-film capillary column, but increased analysis time and decreased sample loading. This situation has been improved with the implementation of multidimensional gas chromatography (GC × GC). Multidimensional gas chromatography increases resolution by using two separate columns with two different stationary phases. One form of GC × GC is heart-cutting. After a preliminary evaluation of the sample, a portion of the unresolved GC effluent is reoriented to a different column before detection. Heart-cutting is a simple way to obtain a better separation of a complex mixture but just a portion of the one-dimensional separation can be improved with the second-dimension column. A high-frequency modulator is utilized by the comprehensive two-dimensional gas chromatography (GC × GC) for diverting the whole one-dimensional effluent onto a second-dimension column [58, 59] (Figure 7).
For instance, phenanthrene and anthracene are two important PAHs that can be used in order to assess whether material is petrogenic or pyrogenic in origin. Selecting mass 178 which is the molecular mass of the PAHs in question using the software allows isolated assessment (Figure 8).
Example of the application of the GC × GC for the separation and identification of structural isomers [
As seen in the GC × GC, saving time in sample preparation, instrumental analysis, has the ability to analyze an extensive range of complex samples with the simultaneous target and nontarget detection, which makes it a powerful technique for the elucidation of complex matrices; however, it is expensive.
PAHs are one of the families of organic compounds associated with the airborne particles that have generated the most concern. Currently, there is evidence of the multiple impacts that these compounds have on human health and the environment. The exposure time to which humans are exposed, the concentration levels of PAHs in the air, as well as the phase in which they occur; that is to say gas or particle, and the size of the particles with which they are associated. All these parameters must be measured and determined by the appropriate methods of sampling, extraction, and analysis. In the last 20 years, analytical methodologies and equipment development have experienced significant advances; all this has allowed the advance of more selective and less destructive extraction procedures; in the same way, the purification methods of complex samples have been improved, but perhaps where greater progress has been made, has been in the instrumental analysis by coupling online extraction procedures, use of different detectors and the implementation of specialized software.
The main feature in the evolution of sampling systems has been the reduction of artifacts, through the use of adequate adsorption materials, as well as the mechanisms of PAHs uptake for both the gaseous and particulate phases. Regarding the extraction process, the greatest progress has been made in the reduction in the amount of solvents, compared with the traditional system (Soxleth). To reduce the multiple interferences of the extracts obtained from the airborne particles and to increase the sensitivity in the detection of the PAHs, several purification schemes have been implemented based mainly on the use of solid phase extraction cartridges. Finally, the chromatographic techniques are those that have experienced the greatest advances, starting with the GC–MS coupling. However, this configuration does not allow to distinguish between compounds that have structural isomers. What caused the coupling of several quadrupoles (QqQ) in the same equipment, thus increasing the resolution. Finally, the inclusion of two-dimensional chromatography GC
There is no doubt the advance in the technology used for the analysis of PAHs in airborne particle matter in recent years. However, these new technologies require a high initial investment, in addition to highly qualified personnel, for this reason, before making the decision to acquire any of these new technologies, many aspects must be analyzed, for example if the equipment is going to be used for routine analysis, if the analytes to be studied can be extracted and detected with a simpler system, etc.
The authors wish to thank PRODEP (Program for the Development of Teachers), for the support in the financing of this publication.
The authors declare no conflict of interest.
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\\n"}]'},components:[{type:"htmlEditorComponent",content:'Copyright is the term used to describe the rights related to the publication and distribution of original Works. Most importantly from a publisher's perspective, copyright governs how Authors, publishers and the general public can use, publish, and distribute publications.
\n\nIntechOpen only publishes manuscripts for which it has publishing rights. This is governed by a publication agreement between the Author and IntechOpen. This agreement is accepted by the Author when the manuscript is submitted and deals with both the rights of the publisher and Author, as well as any obligations concerning a particular manuscript. However, in accepting this agreement, Authors continue to retain significant rights to use and share their publications.
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On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. 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Delac received his B.Sc.E.E. degree in 2003 and is currentlypursuing a Ph.D. degree at the University of Zagreb, Faculty of Electrical Engineering andComputing. His current research interests are digital image analysis, pattern recognition andbiometrics.",institutionString:null,institution:{name:"University of Zagreb",country:{name:"Croatia"}}},{id:"557",title:"Dr.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/557/images/1927_n.jpg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. From 1985 to 1986, he was a Research Fellow in the Research Institute for Electronic Equipment, ZZU AD, Plovdiv, Bulgaria. In 1986, he joined the Department of Control Systems, Technical University of Sofia at the Plovdiv campus, where he is presently a Full Professor. He has held long-term visiting Professor/Scholar positions at various institutions in South Korea, Turkey, Mexico, Greece, Belgium, UK, and Germany. And he has coauthored one book and authored or coauthored more than 80 research papers in conference proceedings and journals. 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We reviewed the PoF concept, its main elements, technologies, and applications focusing in access networks and in smart grid developments made by the author’s research group.",book:{id:"5914",slug:"optical-fiber-and-wireless-communications",title:"Optical Fiber and Wireless Communications",fullTitle:"Optical Fiber and Wireless Communications"},signatures:"Joao Batista Rosolem",authors:[{id:"202012",title:"Dr.",name:"Joao",middleName:"Batista",surname:"Batista Rosolem",slug:"joao-batista-rosolem",fullName:"Joao Batista Rosolem"}]},{id:"12860",doi:"10.5772/13309",title:"Energy Issues and Energy Aware Routing in Wireless Ad Hoc Networks",slug:"energy-issues-and-energy-aware-routing-in-wireless-ad-hoc-networks",totalDownloads:4612,totalCrossrefCites:14,totalDimensionsCites:19,abstract:null,book:{id:"15",slug:"mobile-ad-hoc-networks-protocol-design",title:"Mobile Ad-Hoc Networks",fullTitle:"Mobile Ad-Hoc Networks: Protocol Design"},signatures:"Marco Fotino and Floriano De Rango",authors:[{id:"3066",title:"Dr.",name:"Floriano",middleName:null,surname:"De Rango",slug:"floriano-de-rango",fullName:"Floriano De Rango"},{id:"14362",title:"PhD.",name:"Marco",middleName:null,surname:"Fotino",slug:"marco-fotino",fullName:"Marco Fotino"}]},{id:"8496",doi:"10.5772/8009",title:"A Case Study of an RFID-based System for Pilgrims Identification and Tracking",slug:"a-case-study-of-an-rfid-based-system-for-pilgrims-identification-and-tracking",totalDownloads:5733,totalCrossrefCites:13,totalDimensionsCites:15,abstract:null,book:{id:"3341",slug:"sustainable-radio-frequency-identification-solutions",title:"Sustainable Radio Frequency Identification Solutions",fullTitle:"Sustainable Radio Frequency Identification Solutions"},signatures:"Mohamed Mohandes",authors:null}],mostDownloadedChaptersLast30Days:[{id:"52822",title:"Non-Orthogonal Multiple Access (NOMA) for 5G Networks",slug:"non-orthogonal-multiple-access-noma-for-5g-networks",totalDownloads:14896,totalCrossrefCites:31,totalDimensionsCites:41,abstract:"In this chapter, we explore the concept of non-orthogonal multiple access (NOMA) scheme for the future radio access for 5G. We first provide the fundamentals of the technique for both downlink and uplink channels and then discuss optimizing the network capacity under fairness constraints. We further discuss the impacts of imperfect receivers on the performance of NOMA networks. Finally, we discuss the spectral efficiency (SE) of the networks that employ NOMA with its relations with energy efficiency (EE). We demonstrate that the networks with NOMA outperform other multiple access schemes in terms of sum capacity, EE and SE.",book:{id:"5480",slug:"towards-5g-wireless-networks-a-physical-layer-perspective",title:"Towards 5G Wireless Networks",fullTitle:"Towards 5G Wireless Networks - A Physical Layer Perspective"},signatures:"Refik Caglar Kizilirmak",authors:[{id:"188668",title:"Dr.",name:"Refik Caglar",middleName:null,surname:"Kizilirmak",slug:"refik-caglar-kizilirmak",fullName:"Refik Caglar Kizilirmak"}]},{id:"63215",title:"Smart Antenna Systems Model Simulation Design for 5G Wireless Network Systems",slug:"smart-antenna-systems-model-simulation-design-for-5g-wireless-network-systems",totalDownloads:2308,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"The most recent antenna array technologies such as smart antenna systems (SAS) and massive multiple input multiple output (MIMO) systems are giving a strong increasing impact relative to 5G wireless communication systems due to benefits that they could introduce in terms of performance improvements with respect to omnidirectional antennas. Although a considerable number of theoretical proposals already exist in this field, the most common used network simulators do not implement the latest wireless network standards and, consequently, they do not offer the possibility to emulate scenarios in which SAS or massive MIMO systems are employed. This aspect heavily affects the quality of the network performance analysis with regard to the next generation wireless communication systems. To overcome this issue, it is possible, for example, to extend the default features offered by one of the most used network simulators such as Omnet++ which provides a very complete suite of network protocols and patterns that can be adapted in order to support the latest antenna array systems. The main goal of the present chapter is to illustrate the improvements accomplished in this field allowing to enhance the basic functionalities of the Omnet++ simulator by implementing the most modern antenna array technologies.",book:{id:"6844",slug:"array-pattern-optimization",title:"Array Pattern Optimization",fullTitle:"Array Pattern Optimization"},signatures:"Vincenzo Inzillo, Floriano De Rango, Luigi Zampogna and Alfonso A. Quintana",authors:null},{id:"52919",title:"Waveform Design Considerations for 5G Wireless Networks",slug:"waveform-design-considerations-for-5g-wireless-networks",totalDownloads:3458,totalCrossrefCites:1,totalDimensionsCites:2,abstract:"In this chapter, we first introduce new requirements of 5G wireless network and its differences from past generations. The question “Why do we need new waveforms?” is answered in these respects. In the following sections, time‐frequency (TF) lattice structure, pulse shaping, and multicarrier schemes are discussed in detail. TF lattice structures give information about TF localization of the pulse shape of employed filters. The structures are examined for multicarrier, single‐carrier, time‐division, and frequency‐division multiplexing schemes, comparatively. Dispersion on time and frequency response of these filters may cause interference among symbols and carriers. Thus, effects of different pulse shapes, their corresponding transceiver structures, and trade‐offs are given. Finally, performance evaluations of the selected waveform structures for 5G wireless communication systems are discussed.",book:{id:"5480",slug:"towards-5g-wireless-networks-a-physical-layer-perspective",title:"Towards 5G Wireless Networks",fullTitle:"Towards 5G Wireless Networks - A Physical Layer Perspective"},signatures:"Evren Çatak and Lütfiye Durak‐Ata",authors:[{id:"19414",title:"Prof.",name:"Lutfiye",middleName:null,surname:"Durak-Ata",slug:"lutfiye-durak-ata",fullName:"Lutfiye Durak-Ata"},{id:"189749",title:"M.Sc.",name:"Evren",middleName:null,surname:"Çatak",slug:"evren-catak",fullName:"Evren Çatak"}]},{id:"54645",title:"Power‐Over‐Fiber Applications for Telecommunications and for Electric Utilities",slug:"power-over-fiber-applications-for-telecommunications-and-for-electric-utilities",totalDownloads:2636,totalCrossrefCites:12,totalDimensionsCites:21,abstract:"Beyond telecommunications, optical fibers can also transport optical energy to powering electric or electronic devices remotely. This technique is called power over fiber (PoF). Besides the advantages of optical fiber (immunity to electromagnetic interferences and electrical insulation), the employment of a PoF scheme can eliminate the energy supplied by metallic cable and batteries located at remote sites, improving the reliability and the security of the system. Smart grid is a green field where PoF can be applied. Experts see smart grid as the output to a new technological level seeks to incorporate extensively technologies for sensing, monitoring, information technology, and telecommunications for the best performance electrical network. On the other hand, in telecommunications, PoF can be used in applications, such as remote antennas and extenders for passive optical networks (PONs). PoF can make them virtually passives. We reviewed the PoF concept, its main elements, technologies, and applications focusing in access networks and in smart grid developments made by the author’s research group.",book:{id:"5914",slug:"optical-fiber-and-wireless-communications",title:"Optical Fiber and Wireless Communications",fullTitle:"Optical Fiber and Wireless Communications"},signatures:"Joao Batista Rosolem",authors:[{id:"202012",title:"Dr.",name:"Joao",middleName:"Batista",surname:"Batista Rosolem",slug:"joao-batista-rosolem",fullName:"Joao Batista Rosolem"}]},{id:"75267",title:"Wireless Power Charging in Electrical Vehicles",slug:"wireless-power-charging-in-electrical-vehicles",totalDownloads:694,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"Wireless Power Transfer (WPT) technology can transfer electrical energy from a transmitter to a receiver wirelessly. Due to its many advantages, WPT technology is a more adequate and suitable solution for many industrial applications compared to the power transfer by wires. Using WPT technology will reduce the annoyance of wires, improve the power transfer mechanisms. Recently, the WPT gain enormous attention to charging the on-board batteries of the Electric Vehicle (EV). Several well-known car manufacturing companies start efforts to adopt WPT technology and enhance its features. Therefore, WPT can be achieved through the affordable inductive coupling between two coils named a transmitter and a receiver coil. In EV charging applications, transmitter coils are located underneath the road, and receiver coils are installed in the EV. The inductive WPT of resonant type is generally applied to medium-high power transfer applications like EV charging because it achieves better energy efficiency. In this chapter, various WPT technologies are discussed and tested in EV wireless charging applications. Furthermore, extensive information is given to developing an advanced WPT technology that can transfer maximum power by achieving maximum efficiency.",book:{id:"10514",slug:"wireless-power-transfer-recent-development-applications-and-new-perspectives",title:"Wireless Power Transfer",fullTitle:"Wireless Power Transfer – Recent Development, Applications and New Perspectives"},signatures:"Nassim Iqteit, Khalid Yahya and Sajjad Ahmad Khan",authors:[{id:"270815",title:"Dr.",name:"Khalid",middleName:"O. 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He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. 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His later study in cooperation with experts in nephrology and immunology resulted in the designation of the new diagnostic method of UTI, patented in 2017. He is currently working at the Department of Microbiology, Medical University of Gdańsk (GUMed), Poland. Since many years, he is a member of steering committee of Gdańsk branch of Polish Society of Microbiologists, a member of ESCMID. 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Her research interest is in antibiotic resistance, host-pathogen interaction, and therapeutics development for staphylococcal pathogens, mainly Staphylococcus aureus, which causes hospital-acquired infections. Currently, her research is mostly focused on the study of oral pathogens, particularly Staphylococcus spp.",institutionString:"Medical University of Gdańsk, Poland",institution:null},editorThree:null},{id:"4",title:"Fungal Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/4.jpg",isOpenForSubmission:!0,editor:{id:"174134",title:"Dr.",name:"Yuping",middleName:null,surname:"Ran",slug:"yuping-ran",fullName:"Yuping Ran",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bS9d6QAC/Profile_Picture_1630330675373",biography:"Dr. Yuping Ran, Professor, Department of Dermatology, West China Hospital, Sichuan University, Chengdu, China. Completed the Course Medical Mycology, the Centraalbureau voor Schimmelcultures (CBS), Fungal Biodiversity Centre, Netherlands (2006). International Union of Microbiological Societies (IUMS) Fellow, and International Emerging Infectious Diseases (IEID) Fellow, Centers for Diseases Control and Prevention (CDC), Atlanta, USA. Diploma of Dermatological Scientist, Japanese Society for Investigative Dermatology. Ph.D. of Juntendo University, Japan. Bachelor’s and Master’s degree, Medicine, West China University of Medical Sciences. Chair of Sichuan Medical Association Dermatology Committee. General Secretary of The 19th Annual Meeting of Chinese Society of Dermatology and the Asia Pacific Society for Medical Mycology (2013). In charge of the Annual Medical Mycology Course over 20-years authorized by National Continue Medical Education Committee of China. Member of the board of directors of the Asia-Pacific Society for Medical Mycology (APSMM). Associate editor of Mycopathologia. Vice-chief of the editorial board of Chinses Journal of Mycology, China. Board Member and Chair of Mycology Group of Chinese Society of Dermatology.",institutionString:null,institution:{name:"Sichuan University",institutionURL:null,country:{name:"China"}}},editorTwo:null,editorThree:null},{id:"5",title:"Parasitic Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/5.jpg",isOpenForSubmission:!0,editor:{id:"67907",title:"Dr.",name:"Amidou",middleName:null,surname:"Samie",slug:"amidou-samie",fullName:"Amidou Samie",profilePictureURL:"https://mts.intechopen.com/storage/users/67907/images/system/67907.jpg",biography:"Dr. Amidou Samie is an Associate Professor of Microbiology at the University of Venda, in South Africa, where he graduated for his PhD in May 2008. He joined the Department of Microbiology the same year and has been giving lectures on topics covering parasitology, immunology, molecular biology and industrial microbiology. He is currently a rated researcher by the National Research Foundation of South Africa at category C2. He has published widely in the field of infectious diseases and has overseen several MSc’s and PhDs. His research activities mostly cover topics on infectious diseases from epidemiology to control. His particular interest lies in the study of intestinal protozoan parasites and opportunistic infections among HIV patients as well as the potential impact of childhood diarrhoea on growth and child development. He also conducts research on water-borne diseases and water quality and is involved in the evaluation of point-of-use water treatment technologies using silver and copper nanoparticles in collaboration with the University of Virginia, USA. He also studies the use of medicinal plants for the control of infectious diseases as well as antimicrobial drug resistance.",institutionString:null,institution:{name:"University of Venda",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},{id:"6",title:"Viral Infectious Diseases",coverUrl:"https://cdn.intechopen.com/series_topics/covers/6.jpg",isOpenForSubmission:!0,editor:{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",biography:"Professor Dr. Shailendra K. Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. 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