Relevant bibliographies by topics / Optical Biosensors

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Optical Biosensors'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Optical Biosensors"

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Damborský, Pavel, Juraj Švitel, and Jaroslav Katrlík. "Optical biosensors." Essays in Biochemistry 60, no. 1 (June 30, 2016): 91–100. http://dx.doi.org/10.1042/ebc20150010.

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Optical biosensors represent the most common type of biosensor. Here we provide a brief classification, a description of underlying principles of operation and their bioanalytical applications. The main focus is placed on the most widely used optical biosensors which are surface plasmon resonance (SPR)-based biosensors including SPR imaging and localized SPR. In addition, other optical biosensor systems are described, such as evanescent wave fluorescence and bioluminescent optical fibre biosensors, as well as interferometric, ellipsometric and reflectometric interference spectroscopy and surface-enhanced Raman scattering biosensors. The optical biosensors discussed here allow the sensitive and selective detection of a wide range of analytes including viruses, toxins, drugs, antibodies, tumour biomarkers and tumour cells.
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Rho, Donggee, Caitlyn Breaux, and Seunghyun Kim. "Label-Free Optical Resonator-Based Biosensors." Sensors 20, no. 20 (October 19, 2020): 5901. http://dx.doi.org/10.3390/s20205901.

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The demand for biosensor technology has grown drastically over the last few decades, mainly in disease diagnosis, drug development, and environmental health and safety. Optical resonator-based biosensors have been widely exploited to achieve highly sensitive, rapid, and label-free detection of biological analytes. The advancements in microfluidic and micro/nanofabrication technologies allow them to be miniaturized and simultaneously detect various analytes in a small sample volume. By virtue of these advantages and advancements, the optical resonator-based biosensor is considered a promising platform not only for general medical diagnostics but also for point-of-care applications. This review aims to provide an overview of recent progresses in label-free optical resonator-based biosensors published mostly over the last 5 years. We categorized them into Fabry-Perot interferometer-based and whispering gallery mode-based biosensors. The principles behind each biosensor are concisely introduced, and recent progresses in configurations, materials, test setup, and light confinement methods are described. Finally, the current challenges and future research topics of the optical resonator-based biosensor are discussed.
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Lai, Meimei, and Gymama Slaughter. "Label-Free MicroRNA Optical Biosensors." Nanomaterials 9, no. 11 (November 6, 2019): 1573. http://dx.doi.org/10.3390/nano9111573.

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MicroRNAs (miRNAs) play crucial roles in regulating gene expression. Many studies show that miRNAs have been linked to almost all kinds of disease. In addition, miRNAs are well preserved in a variety of specimens, thereby making them ideal biomarkers for biosensing applications when compared to traditional protein biomarkers. Conventional biosensors for miRNA require fluorescent labeling, which is complicated, time-consuming, laborious, costly, and exhibits low sensitivity. The detection of miRNA remains a big challenge due to their intrinsic properties such as small sizes, low abundance, and high sequence similarity. A label-free biosensor can simplify the assay and enable the direct detection of miRNA. The optical approach for a label-free miRNA sensor is very promising and many assays have demonstrated ultra-sensitivity (aM) with a fast response time. Here, we review the most relevant label-free microRNA optical biosensors and the nanomaterials used to enhance the performance of the optical biosensors.
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Jiang, Pengfei, Yulin Wang, Lan Zhao, Chenyang Ji, Dongchu Chen, and Libo Nie. "Applications of Gold Nanoparticles in Non-Optical Biosensors." Nanomaterials 8, no. 12 (November 26, 2018): 977. http://dx.doi.org/10.3390/nano8120977.

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Due to their unique properties, such as good biocompatibility, excellent conductivity, effective catalysis, high density, and high surface-to-volume ratio, gold nanoparticles (AuNPs) are widely used in the field of bioassay. Mainly, AuNPs used in optical biosensors have been described in some reviews. In this review, we highlight recent advances in AuNP-based non-optical bioassays, including piezoelectric biosensor, electrochemical biosensor, and inductively coupled plasma mass spectrometry (ICP-MS) bio-detection. Some representative examples are presented to illustrate the effect of AuNPs in non-optical bioassay and the mechanisms of AuNPs in improving detection performances are described. Finally, the review summarizes the future prospects of AuNPs in non-optical biosensors.
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Angelopoulou, Michailia, Sotirios Kakabakos, and Panagiota Petrou. "Label-Free Biosensors Based onto Monolithically Integrated onto Silicon Optical Transducers." Chemosensors 6, no. 4 (November 12, 2018): 52. http://dx.doi.org/10.3390/chemosensors6040052.

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The article reviews the current status of label-free integrated optical biosensors focusing on the evolution over the years of their analytical performance. At first, a short introduction to the evanescent wave optics is provided followed by detailed description of the main categories of label-free optical biosensors, including sensors based on surface plasmon resonance (SPR), grating couplers, photonic crystals, ring resonators, and interferometric transducers. For each type of biosensor, the detection principle is first provided followed by description of the different transducer configurations so far developed and their performance as biosensors. Finally, a short discussion about the current limitations and future perspectives of integrated label-free optical biosensors is provided.
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Garzón, Vivian, Daniel Pinacho, Rosa-Helena Bustos, Gustavo Garzón, and Sandra Bustamante. "Optical Biosensors for Therapeutic Drug Monitoring." Biosensors 9, no. 4 (November 11, 2019): 132. http://dx.doi.org/10.3390/bios9040132.

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Therapeutic drug monitoring (TDM) is a fundamental tool when administering drugs that have a limited dosage or high toxicity, which could endanger the lives of patients. To carry out this monitoring, one can use different biological fluids, including blood, plasma, serum, and urine, among others. The help of specialized methodologies for TDM will allow for the pharmacodynamic and pharmacokinetic analysis of drugs and help adjust the dose before or during their administration. Techniques that are more versatile and label free for the rapid quantification of drugs employ biosensors, devices that consist of one element for biological recognition coupled to a signal transducer. Among biosensors are those of the optical biosensor type, which have been used for the quantification of different molecules of clinical interest, such as antibiotics, anticonvulsants, anti-cancer drugs, and heart failure. This review presents an overview of TDM at the global level considering various aspects and clinical applications. In addition, we review the contributions of optical biosensors to TDM.
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Borisov, Sergey M., and Otto S. Wolfbeis. "Optical Biosensors." Chemical Reviews 108, no. 2 (February 2008): 423–61. http://dx.doi.org/10.1021/cr068105t.

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Ramsden, Jeremy J. "Optical biosensors." Journal of Molecular Recognition 10, no. 3 (May 1997): 109–20. http://dx.doi.org/10.1002/(sici)1099-1352(199705/06)10:3<109::aid-jmr361>3.0.co;2-d.

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Ivanov, A. S., and A. E. Medvedev. "Optical surface plasmon resonance biosensors in molecular fishing." Biomeditsinskaya Khimiya 61, no. 2 (2015): 231–38. http://dx.doi.org/10.18097/pbmc20156102231.

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An optical biosensor employing surface plasmon resonance is a highly efficient instrument applicable for direct real time registration of molecular interactions without additional use of any labels or coupled processes. As an independent approach it is especially effective in analysis of various ligand receptor interactions. SPR-biosensors are used for validation of studies on intermolecular interactions in complex biological systems (affinity profiling of various groups of proteins, etc.). Recently, potential application of the SPR-biosensor for molecular fishing (direct affinity binding of target molecules from complex biological mixtures on the optical biosensor surface followed by their elution for identification by LC-MS/MS) has been demonstrated. Using SPR-biosensors in such studies it is possible to solve the following tasks: (a) SPR-based selection of immobilization conditions required for the most effective affinity separation of a particular biological sample; (b) SPR-based molecular fishing for subsequent protein identification by mass spectrometry; (c) SPR-based validation of the interaction of identified proteins with immobilized ligand. This review considers practical application of the SPR technology in the context of recent studies performed in the Institute of Biomedical Chemistry on molecular fishing of real biological objects.
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Zinoviev, Kirill, Laura G. Carrascosa, José Sánchez del Río, Borja Sepúlveda, Carlos Domínguez, and Laura M. Lechuga. "Silicon Photonic Biosensors for Lab-on-a-Chip Applications." Advances in Optical Technologies 2008 (June 4, 2008): 1–6. http://dx.doi.org/10.1155/2008/383927.

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In the last two decades, we have witnessed a remarkable progress in the development of biosensor devices and their application in areas such as environmental monitoring, biotechnology, medical diagnostics, drug screening, food safety, and security, among others. The technology of optical biosensors has reached a high degree of maturity and several commercial products are on the market. But problems of stability, sensitivity, and size have prevented the general use of optical biosensors for real field applications. Integrated photonic biosensors based on silicon technology could solve such drawbacks, offering early diagnostic tools with better sensitivity, specificity, and reliability, which could improve the effectiveness of in-vivo and in-vitro diagnostics. Our last developments in silicon photonic biosensors will be showed, mainly related to the development of portable and highly sensitive integrated photonic sensing platforms.
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Dissertations / Theses on the topic "Optical Biosensors"

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Nightingale, Joshua Ryan. "Optical biosensors SPARROW biosensor and photonic crystal-based fluorescence enhancement /." Morgantown, W. Va. : [West Virginia University Libraries], 2008. https://eidr.wvu.edu/etd/documentdata.eTD?documentid=5818.

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Thesis (M.S.)--West Virginia University, 2008.
Title from document title page. Document formatted into pages; contains vi, 120 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 91-100).
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Cullen, David Charles. "Conductimetric & optical biosensors." Thesis, University of Cambridge, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.293445.

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Zourob, Mohammed M. "Development of optical waveguide biosensors." Thesis, University of Manchester, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.743091.

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Urmann, Katharina [Verfasser]. "Aptamer-based optical biosensors / Katharina Urmann." Hannover : Technische Informationsbibliothek (TIB), 2018. http://d-nb.info/1166271978/34.

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Mohd, Salleh Mohd Hazimin. "Polymer waveguide micro-resonators for optical biosensors." Thesis, University of Glasgow, 2011. http://theses.gla.ac.uk/2461/.

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This work describes the investigation of optical ring or disk micro-resonator as elements in label-free biosensing devices. The use of polymeric materials for micro-resonator structures recently has been gain major interest multi disciplinary research since it allows rapid and straightforward fabrication process. The aim of the work described here was to develop an optical biosensor which operates within the visible range of λ = 500 – 800 nm based on micro-resonator principle by exploiting the SU-8 polymer material. This thesis is focused on fabrication procedures using the electron beam lithography (EBL) technology, device characterization, biological element immobilization and sensing experiments. Through the use of EBL technology, a double-cascaded gapless disk resonator (DDR) structure has been fabricated in order to significantly increase (composite) free-spectral range (FSR) to 10.0 nm from the 1.3 nm achievable with a single gapless disk resonator. The DDR structures also overcome the fabrication complexity of obtaining 50 nm gap spacing for bus waveguide to micro-resonator coupling. In order to build the device into a biological sensing platform, a biological immobilization protocol has been optimized by evaluating the degree of surface functionalization using fluorescence microscopy and X-ray photoelectron spectroscopy (XPS). Following this, to deliver the solutions required for sensing experiments, the device is integrated with a microfluidic channel system. In experiments using sucrose solutions, linear relationship between resonance wavelength shift and refractive index of the solution was achieved with the sensitivity of 12 nm/RIU. Further experiments were performed that used specific biotin-streptavidin antibody and multiple protein binding. These showed that the device was capable of detecting immobilised biomolecules. For example, the resonance wavelength shifted by 0.43 nm following streptavidin binding. Effort also has been devoted to perform experiments on combining the spectral absorption and resonance wavelength shift analysis since this device has a capability to operate in visible wavelength region, thus exploiting strongly coloured dyes. Here, using Dylight 649® labelled streptavidin, absorption at λ = 655 nm could be detected and was accompanied by a resonance wavelength shift of 0.261 nm. From the experiments in this thesis, the DDR device that operated within the visible wavelength region has exhibited the capability of resonance wavelength shift for label-free detection and absorption spectra analysis for optical biosensing.
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Dar, T. "Numerical characterisation of label free optical biosensors." Thesis, City University London, 2015. http://openaccess.city.ac.uk/13075/.

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There is a significant need for the development and use of numerical methods to simulate advance and complex optical biosensor structures. Finite Element Method (FEM) has been established as one of the most powerful and versatile numerical method and has been implemented in this thesis to characterize, analyse and optimise label-free optical biosensors for the detection of micron size biological objects like bacteria such as E.coli and nanometre size biomolecules such as antibody, nucleic acids and proteins. These sensors are all suitable for deep-probe sensing as large evanescent field can be excited in the sensing medium with substantial penetration depth achieved by techniques like Surface Plasmon Resonance (SPR) and sensor architectures based on nanowires and slot waveguides. This thesis presents three different architectures of label-free optical biosensors. First, a fiber optic surface plasmon resonance (SPR) biosensor for the detection of E.Coli is optically modeled by using the finite-element approach in conjunction with the perturbation technique which is computationally more efficient and can be used for waveguides with low or medium loss values. The same sensing architecture is used when surrounding index is varied from 1.30 -1.44 to cover most of the biological elements that are used in the biosensing applications. Second one is based on evanescent-wave guiding properties of nanowire waveguides a theoretical investigation of silica nanowires employing a wire assembled Mach-Zehnder structure to detect the presence of E.Coli is studied second. Finally, a slot-waveguide based micro-ring resonator is investigated for the detection of DNA Hybridization using H-field FEM based full-vector formulation. It is found that all of the numerical methods provide good agreement with the experimental sensitivities and detection limits.
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Pathak, Shantanu. "Resonant optical waveguide biosensor characterization." Morgantown, W. Va. : [West Virginia University Libraries], 2004. https://etd.wvu.edu/etd/controller.jsp?moduleName=documentdata&jsp%5FetdId=3792.

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Thesis (M.S.)--West Virginia University, 2004.
Title from document title page. Document formatted into pages; contains viii, 109 p. : ill. (some col.). Includes abstract. Includes bibliographical references (p. 107-109).
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Scullion, Mark Gerard. "Slotted photonic crystal biosensors." Thesis, University of St Andrews, 2013. http://hdl.handle.net/10023/3405.

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Optical biosensors are increasingly being considered for lab-on-a-chip applications due to their benefits such as small size, biocompatibility, passive behaviour and lack of the need for fluorescent labels. The light guiding mechanisms used by many of them result in poor overlap of the optical field with the target molecules, reducing the maximum sensitivity achievable. This thesis presents a new platform for optical biosensors, namely slotted photonic crystals, which engender higher sensitivities due to their ability to confine, spatially and temporally, the peak of optical mode within the analyte itself. Loss measurements showed values comparable to standard photonic crystals, confirming their ability to be used in real devices. A novel resonant coupler was designed, simulated, and experimentally tested, and was found to perform better than other solutions within the literature. Combining with cavities, microfluidics and biological functionalization allowed proof-of-principle demonstrations of protein binding to be carried out. High sensitivities were observed in smaller structures than most competing devices in the literature. Initial tests with cellular material for real applications was also performed, and shown to be of promise. In addition, groundwork to make an integrated device that includes the spectrometer function was also carried out showing that slotted photonic crystals themselves can be used for on-chip wavelength specific filtering and spectroscopy, whilst gas-free microvalves for automation were also developed. This body of work presents slotted photonic crystals as a realistic platform for complete on-chip biosensing; addressing key design, performance and application issues, whilst also opening up exciting new ideas for future study.
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Carlsson, Jenny. "Interaction Studies in Complex Fluids with Optical Biosensors." Doctoral thesis, Linköpings universitet, Tillämpad Fysik, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-14694.

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In this thesis interactions in complex fluids, such as serum and meat juice, were analysed with optical biosensor techniques. Panels of lectins immobilised on gold surfaces were used for investigation of differences in protein glycosylation pattern in sera and meat juices between various species. The present panel was also used for investigation of global glycosylation changes of serum proteins in type 1 diabetes patients. Biorecognition was evaluated with null ellipsometry and scanning ellipsometry combined with multivariate data analysis techniques (MVDA). Principal component analysis (PCA) showed that the lectin panel enabled discrimination between sera from the different species as well as for the different meat juices. The results also indicate that there is a measurable global alteration in glycosylation pattern of serum proteins in type 1 diabetic patients compared to healthy subjects. Using an artificial neuronal net (ANN), it was also possible to correctly categorise unknown serum samples into their respective class or group. The analytical potential of combining information from lectin panels with multivariate data analysis was thereby demonstrated. Also, a sensitive and specific method based on surface plasmon resonance (SPR) for detection of insulin autoantibodies (IAA) in serum samples from individuals at high risk of developing type 1 diabetes (T1D) has been developed. When measuring trace molecules, such as autoantibodies, in undiluted sera with label-free techniques like SPR, non-specific adsorption of matrix proteins to the sensor surface is often a problem, since it causes a signal that masks the analyte response. The developed method is an indirect competitive immunoassay designed to overcome these problems. Today, IAA is mainly measured in radio immunoassays (RIAs), which are time consuming and require radioactively labelled antigen. With our SPR-based immunoassay the overall assay time is reduced by a factor of >100 (from 4 days to 50 min), while sensitivity is maintained at a level comparable to that offered by RIA. Finally, the assay was used in a screening study of newly diagnosed type 1 diabetes patients and non-diabetic subjects.
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Schrenkhammer, Petra. "New optical biosensors for uric acid and glucose." kostenfrei, 2008. http://www.opus-bayern.de/uni-regensburg/volltexte/2008/993/.

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Books on the topic "Optical Biosensors"

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service), ScienceDirect (Online, ed. Optical biosensors: Today or tomorrow. 2nd ed. Amsterdam: Elsevier, 2008.

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Lakhtakia, A., and Mohammed Zourob. Optical guided-wave chemical and biosensors. Heidelberg: Springer, 2010.

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Zourob, Mohammed, and Akhlesh Lakhtakia, eds. Optical Guided-wave Chemical and Biosensors II. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-02827-4.

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Zourob, Mohammed, and Akhlesh Lakhtakia, eds. Optical Guided-wave Chemical and Biosensors I. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88242-8.

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Kimmel, Jyrki. Modeling of optical waveguide biosensor structures. Espoo: Technical Research Centre of Finland, 1992.

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Narayanaswamy, R. Optical sensors: Industrial, environmental, and diagnostic applications. Berlin: Springer, 2004.

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European Conference on Optical Chemical Sensors and Biosensors (1st 1992 Graz, Austria). Optical chemical sensors and biosensors: Proceedings of the 1st European Conference on Optical Chemical Sensors and Biosensors, EUROPT(R)ODE 1, Graz, Austria, April 12-15, 1992. Edited by Wolfbeis Otto S. Lausanne: Elsevier Sequoia, 1993.

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Yin, Kun. Design of Novel Biosensors for Optical Sensing and Their Applications in Environmental Analysis. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-6488-4.

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Alan, Harmer, ed. Chemical and biochemical sensing with optical fibers and waveguides. Boston: Artech House, 1996.

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Italian Conference on Sensors and Microsystems (14th 2009 Pavia, Italy). Sensors and microsystems: AISEM 2009 proceedings. Edited by Malcovati P. (Piero). Dordrecht: Springer Verlag, 2010.

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Book chapters on the topic "Optical Biosensors"

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Zhao, Wenhao, Lei Huang, Ke Liu, Jiuchuan Guo, and Jinhong Guo. "Optical Biosensors." In Handbook of Biochips, 1–16. New York, NY: Springer New York, 2020. http://dx.doi.org/10.1007/978-1-4614-6623-9_51-1.

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Yoda, Minami, Jean-Luc Garden, Olivier Bourgeois, Aeraj Haque, Aloke Kumar, Hans Deyhle, Simone Hieber, et al. "Nano-optical Biosensors." In Encyclopedia of Nanotechnology, 1644. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-90-481-9751-4_100523.

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Gerken, Martina, and Richard De La Rue. "Photonic Crystal Biosensors." In Biomedical Optical Sensors, 109–53. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-48387-6_5.

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Yoon, Jeong-Yeol. "Spectrophotometry and Optical Biosensor." In Introduction to Biosensors, 121–39. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-6022-1_8.

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Yoon, Jeong-Yeol. "Fluorescence and Optical Fiber." In Introduction to Biosensors, 141–60. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-6022-1_9.

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Shtenberg, Giorgi, and Ester Segal. "Porous Silicon Optical Biosensors." In Handbook of Porous Silicon, 857–68. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05744-6_87.

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Keiser, Gerd. "Optical Probes and Biosensors." In Graduate Texts in Physics, 197–232. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-0945-7_7.

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Shtenberg, Giorgi, and Ester Segal. "Porous Silicon Optical Biosensors." In Handbook of Porous Silicon, 1263–73. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71381-6_87.

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Shtenberg, Giorgi, and Ester Segal. "Porous Silicon Optical Biosensors." In Handbook of Porous Silicon, 1–11. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-04508-5_87-1.

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Lechuga, L. M., F. Prieto, and B. Sepúlveda. "Interferometric Biosensors for Environmental Pollution Detection." In Optical Sensors, 227–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-662-09111-1_10.

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Conference papers on the topic "Optical Biosensors"

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Wang, Congzhou, Jeremiah J. Morrissey, Evan D. Kharasch, and Srikanth Singamaneni. "Plasmonic Biosensors in Resource-limited Settings." In Optical Sensors. Washington, D.C.: OSA, 2017. http://dx.doi.org/10.1364/sensors.2017.setu1e.6.

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Singamaneni, Srikanth. "Plasmonic Biosensors with Ultrastable Biorecognition Elements." In Optical Sensors. Washington, D.C.: OSA, 2017. http://dx.doi.org/10.1364/sensors.2017.setu3d.3.

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Chilkoti, Ashutosh. "Designing Interfaces for Optical Biosensors." In Frontiers in Optics. Washington, D.C.: OSA, 2009. http://dx.doi.org/10.1364/fio.2009.ftuy3.

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Miu, Mihaela, Irina Kleps, Lorenzo Pavesi, Florea Craciunoiu, Teodora Ignat, Adrian Dinescu, and Monica Simion. "Nanostructured Silicon for Optical Biosensors." In 2007 International Semiconductor Conference (CAS 2007). IEEE, 2007. http://dx.doi.org/10.1109/smicnd.2007.4519731.

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Tamiya, Eiichi. "Optical biosensors for environmental monitoring." In SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, edited by Tuan Vo-Dinh. SPIE, 1996. http://dx.doi.org/10.1117/12.259785.

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Zamora, Vanessa, Peter Lützow, Martin Weiland, Daniel Pergande, and Henning Schröder. "Highly sensitive integrated optical biosensors." In SPIE BiOS, edited by Benjamin L. Miller, Philippe M. Fauchet, and Brian T. Cunningham. SPIE, 2014. http://dx.doi.org/10.1117/12.2039676.

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Homola, Jirí, Marek Piliarik, and Pavel Kvasnicka. "Surface plasmon resonance biosensors." In Third European Workshop on Optical Fibre Sensors. SPIE, 2007. http://dx.doi.org/10.1117/12.738340.

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Yesilkoy, Filiz, Eduardo R. Arvelo, Yasaman Jahani, Alexander Belushkin, Mingkai Liu, Andreas Tittl, Yuri Kivshar, and Hatice Altug. "Nanophotonic Biosensors: from Plasmonic to Dielectric Metasurfaces." In Optical Sensors. Washington, D.C.: OSA, 2019. http://dx.doi.org/10.1364/sensors.2019.sw4c.2.

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Lee, Seung-Kon, Tae Jung Park, Soyoung Kim, Gi-Ra Yi, Sang Yup Lee, and Seung-Man Yang. "Photonic-crystal-based centrifugal microfluidic biosensors." In Asia-Pacific Optical Communications, edited by Yong Hee Lee, Fumio Koyama, and Yi Luo. SPIE, 2006. http://dx.doi.org/10.1117/12.690185.

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Quilis, Nestor G., Daria Kotlarek, Stefan Fossati, Simone Hageneder, Christian Petri, Ulrich Jonas, and Jakub Dostalek. "Plasmonically enhanced fluorescence biosensors actuated by responsive hydrogels." In Optical Sensors. Washington, D.C.: OSA, 2018. http://dx.doi.org/10.1364/sensors.2018.seth1a.5.

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Reports on the topic "Optical Biosensors"

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ENVIRONMENTAL SECURITY TECH CERT PROG. Fiber Optic Biosensors for Contaminant Monitoring. Fort Belvoir, VA: Defense Technical Information Center, December 2005. http://dx.doi.org/10.21236/ada625085.

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Thompson, Richard B. Fiber Optic Metal Ion Biosensor. Fort Belvoir, VA: Defense Technical Information Center, May 2002. http://dx.doi.org/10.21236/ada402530.

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Thompson, Richard B. Biosensor Array Remotely Addressable Through a Single Optical Fiber. Fort Belvoir, VA: Defense Technical Information Center, May 2002. http://dx.doi.org/10.21236/ada401569.

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Olsen, Roger, and Ken Reardon. Fiber Optic Biosensors for Contaminant Monitoring: Appendix D. Fort Belvoir, VA: Defense Technical Information Center, December 2005. http://dx.doi.org/10.21236/ada451228.

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Olsen, Roger, and Ken Reardon. Fiber Optic Biosensors for Contaminant Monitoring: Appendix B. Fort Belvoir, VA: Defense Technical Information Center, December 2005. http://dx.doi.org/10.21236/ada451230.

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6

SATCON TECHNOLOGY CORP CAMBRIDGE MA. Phase 2 SBIR Final Report: An Ultra-Sensitive Optical Biosensor for Flood Safety. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada412931.

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Wang, Sean X., Vladimir Pelekhaty, Jolanta Rosemeier, Keith Li, and Robert Scheerer. A Miniature Biosensor Based on Guided Wave Technology and An Acousto-Optic Tunable Filter. Phase 2. Fort Belvoir, VA: Defense Technical Information Center, June 1997. http://dx.doi.org/10.21236/ada367934.

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