Academic literature on the topic 'Biosensors'

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Journal articles on the topic "Biosensors"

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Hua, Yu, Jiaming Ma, Dachao Li, and Ridong Wang. "DNA-Based Biosensors for the Biochemical Analysis: A Review." Biosensors 12, no. 3 (2022): 183. http://dx.doi.org/10.3390/bios12030183.

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In recent years, DNA-based biosensors have shown great potential as the candidate of the next generation biomedical detection device due to their robust chemical properties and customizable biosensing functions. Compared with the conventional biosensors, the DNA-based biosensors have advantages such as wider detection targets, more durable lifetime, and lower production cost. Additionally, the ingenious DNA structures can control the signal conduction near the biosensor surface, which could significantly improve the performance of biosensors. In order to show a big picture of the DNA biosensor
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Schackart, Kenneth E., and Jeong-Yeol Yoon. "Machine Learning Enhances the Performance of Bioreceptor-Free Biosensors." Sensors 21, no. 16 (2021): 5519. http://dx.doi.org/10.3390/s21165519.

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Since their inception, biosensors have frequently employed simple regression models to calculate analyte composition based on the biosensor’s signal magnitude. Traditionally, bioreceptors provide excellent sensitivity and specificity to the biosensor. Increasingly, however, bioreceptor-free biosensors have been developed for a wide range of applications. Without a bioreceptor, maintaining strong specificity and a low limit of detection have become the major challenge. Machine learning (ML) has been introduced to improve the performance of these biosensors, effectively replacing the bioreceptor
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Turdean, Graziella L. "Design and Development of Biosensors for the Detection of Heavy Metal Toxicity." International Journal of Electrochemistry 2011 (2011): 1–15. http://dx.doi.org/10.4061/2011/343125.

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Many compounds (including heavy metals, HMs) used in different fields of industry and/or agriculture act as inhibitors of enzymes, which, as consequence, are unable to bind the substrate. Even if it is not so sensitive, the method for detecting heavy metal traces using biosensors has a dynamic trend and is largely applied for improving the “life quality”, because of biosensor's sensitivity, selectivity, and simplicity. In the last years, they also become more and more a synergetic combination between biotechnology and microelectronics. Dedicated biosensors were developed for offline and online
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Štukovnik, Zala, Regina Fuchs-Godec, and Urban Bren. "Nanomaterials and Their Recent Applications in Impedimetric Biosensing." Biosensors 13, no. 10 (2023): 899. http://dx.doi.org/10.3390/bios13100899.

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Impedimetric biosensors measure changes in the electrical impedance due to a biochemical process, typically the binding of a biomolecule to a bioreceptor on the sensor surface. Nanomaterials can be employed to modify the biosensor’s surface to increase the surface area available for biorecognition events, thereby improving the sensitivity and detection limits of the biosensor. Various nanomaterials, such as carbon nanotubes, carbon nanofibers, quantum dots, metal nanoparticles, and graphene oxide nanoparticles, have been investigated for impedimetric biosensors. These nanomaterials have yielde
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Generalov, Vladimir, Anastasia Cheremiskina, Alexander Glukhov, Victoria Grabezhova, Margarita Kruchinina, and Alexander Safatov. "Investigation of Limitations in the Detection of Antibody + Antigen Complexes Using the Silicon-on-Insulator Field-Effect Transistor Biosensor." Sensors 23, no. 17 (2023): 7490. http://dx.doi.org/10.3390/s23177490.

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The SOI-FET biosensor (silicon-on-insulator field-effect transistor) for virus detection is a promising device in the fields of medicine, virology, biotechnology, and the environment. However, the applications of modern biosensors face numerous problems and require improvement. Some of these problems can be attributed to sensor design, while others can be attributed to technological limitations. The aim of this work is to conduct a theoretical investigation of the “antibody + antigen” complex (AB + AG) detection processes of a SOI-FET biosensor, which may also solve some of the aforementioned
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Damborský, Pavel, Juraj Švitel, and Jaroslav Katrlík. "Optical biosensors." Essays in Biochemistry 60, no. 1 (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 surfa
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Teh, Yijun, Asral Bahari Jambek, and Uda Hashim. "The latest trend in nano-bio sensor signal analysis." Sensor Review 36, no. 3 (2016): 303–11. http://dx.doi.org/10.1108/sr-08-2015-0132.

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Purpose This paper aims to discuss a nanoscale biosensor and its signal analysis algorithms. Design/methodology/approach In this work, five nanoscale biosensors are reviewed, namely, silicon nanowire field-effect-transistor biosensors, polysilicon nanogap capacitive biosensors, nanotube amperometric biosensors, gold nanoparticle-based electrochemical biosensors and quantum dot-based electrochemical biosensors. Findings Each biosensor produces a different output signal depending on its electrical characteristics. Five signal analysers are studied, with most of the existing signal analyser analy
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Wang, Yunjie. "Application of Electrochemical Biosensors for Chemical Hazards Detection." Highlights in Science, Engineering and Technology 3 (July 8, 2022): 1–7. http://dx.doi.org/10.54097/hset.v3i.686.

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Electrochemical biosensor is a subject that has received the most attention from scientists in recent years. It is not only related to human life but also natural environment. Research on electrochemical biosensors is also cross-linked with many other scientific fields, such as nanomaterials and hazardous chemical detection. In this research, electrochemical biosensor is discussed by divided into three types, including potentiometric, amperometric, and voltammetric biosensors. The unique mechanism, advantages and application of these electrochemical biosensors is also introduced in this articl
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Chowdhury, Dibyendu, Bishnu Prasad De, Bhargav Appasani, et al. "A Novel Dielectric Modulated Gate-Stack Double-Gate Metal-Oxide-Semiconductor Field-Effect Transistor-Based Sensor for Detecting Biomolecules." Sensors 23, no. 6 (2023): 2953. http://dx.doi.org/10.3390/s23062953.

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In this article, the performance of n-type junctionless (JL) double-gate (DG) MOSFET-based biosensors with and without gate stack (GS) has been studied. Here, the dielectric modulation (DM) method is applied to detect biomolecules in the cavity. The sensitivity of n-type JL-DM-DG-MOSFET and n-type JL-DM-GSDG-MOSFET-based biosensors have also been evaluated. The sensitivity (ΔVth) improved in JL-DM-GSDG MOSFET/JL-DM-DG-MOSFET-based biosensors for neutral/charged biomolecules is 116.66%/66.66% and 1165.78%/978.94%, respectively, compared with the previously reported results. The electrical detec
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Saha, Soumyadeep, Manoj Sachdev, and Sushanta K. Mitra. "Recent advances in label-free optical, electrochemical, and electronic biosensors for glioma biomarkers." Biomicrofluidics 17, no. 1 (2023): 011502. http://dx.doi.org/10.1063/5.0135525.

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Gliomas are the most commonly occurring primary brain tumor with poor prognosis and high mortality rate. Currently, the diagnostic and monitoring options for glioma mainly revolve around imaging techniques, which often provide limited information and require supervisory expertise. Liquid biopsy is a great alternative or complementary monitoring protocol that can be implemented along with other standard diagnosis protocols. However, standard detection schemes for sampling and monitoring biomarkers in different biological fluids lack the necessary sensitivity and ability for real-time analysis.
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Dissertations / Theses on the topic "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.<br>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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Ravindran, Ramasamy. "An electronic biosensing platform." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/44774.

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The objective of this research was to develop the initial constituents of a highly scalable and label-free electronic biosensing platform. Current immunoassays are becoming increasingly incapable of taking advantage of the latest advances in disease biomarker identification, hindering their utility in the potential early-stage diagnosis and treatment of many diseases. This is due primarily to their inability to simultaneously detect large numbers of biomarkers. The platform presented here - termed the electronic microplate - embodies a number of qualities necessary for clinical and laboratory
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Kittichan, Kanokphandharangkul. "Aptamer biosensors." Thesis, Imperial College London, 2016. http://hdl.handle.net/10044/1/39048.

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Aptamers are single stranded nucleic acids, typically composed of between twenty to eighty nucleotides in length, capable of binding selectively to non-nucleic acid ligands. Aptamers are selected through a combinatorial chemistry process called Systematic Evolution of Ligands by Exponential enrichment (SELEX), which is composed of successive cycles of selection based on target affinity, followed by amplification. This results in the Darwinian evolution of the nucleic acid library resulting in increasing library homogeneity and target affinity over time. Aptamers have been extensively investiga
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Stevenson, Adrian Carl. "Electromagnetic biosensors." Thesis, University of Cambridge, 1995. https://www.repository.cam.ac.uk/handle/1810/252090.

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Ali, Momenpour. "Raman Biosensors." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36468.

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This PhD thesis focuses on improving the limit of detection (LOD) of Raman biosensors by using surface enhanced Raman scattering (SERS) and/or hollow core photonic crystal fibers (HC-PCF), in conjunction with statistical methods. Raman spectroscopy is a multivariate phenomenon that requires statistical analysis to identify the relationship between recorded spectra and the property of interest. The objective of this research is to improve the performance of Raman biosensors using SERS techniques and/or HC-PCF, by applying partial least squares (PLS) regression and principal component analysis (
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Williamson, Hodge Lucy A. "Microcantilever biosensors." Thesis, Heriot-Watt University, 2014. http://hdl.handle.net/10399/2739.

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The cross-sensitivity of microcantilever sensors presents a major obstacle in the development of a commercially viable microcantilever biosensor for point of care testing. This thesis concerns electrothermally actuated bi-material microcantilevers with piezoresistive read out, developed for use as a blood coagulometer. Thermal properties of the sensor environment including the heat capacity and thermal conductivity affect the ‘thermal profile’ onto which the higher frequency mechanical signal is superimposed. In addition, polymer microcantilevers are known to have cross-sensitivity to relative
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Cronin, Thomas. "Liquid crystal biosensors." Thesis, University of Manchester, 2011. https://www.research.manchester.ac.uk/portal/en/theses/liquid-crystal-biosensors(428e3ba0-bf7e-4dda-9eae-c44c9713c7bb).html.

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The aim of the thesis was to identify and hence investigate the physical properties of liquid crystals that influence their potential as components of biosensor devices. Silicon surfaces presenting photolithographically fabricated arrays of 50nm thick gold spots were used as the model for a biosensor that detects the surface binding of a biological analyte. The spots ranged in diameter from 2μm to 16μm and their spatial separation varied between 5μm to 40μm. A Self Assembled Monolayer (SAM) of the thiol 3-mercaoptopropionic acid was used to control the surface chemistry of the gold. The respon
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Bini, Alessandra. "Aptamers for biosensors." Thesis, Cranfield University, 2008. http://dspace.lib.cranfield.ac.uk/handle/1826/4004.

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Aptamers are single-stranded DNA or RNA molecules isolated in vitro by a selection and amplification method. Aptamers bind with high specificity and affinity to a wide range of target molecules, with dissociation constant comparable to antibodies. In this work aptamers were employed as a new kind of bio-recognition element in affinity biosensors for the detection of clinically relevant proteins in heterogeneous assay, using Piezoelectric Quartz Crystal Microbalance and Surface Plasmon Resonance as transducers. The work was focused on two case studies, i.e. the Thrombin-binding aptamer and the
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Mohd-Zawawi, Ruzniza. "Electrochemical chiral biosensors." Thesis, Durham University, 2011. http://etheses.dur.ac.uk/3200/.

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Recognition of chiral molecules in biological assemblies has been a subject of extensive research. The aim of this work was to fabricate and characterise biocompatible composite materials suitable for chiral recognition. Collagen, the most abundant chiral, extracellular protein, was chosen as a possible matrix. The chiral recognition properties were evaluated by a comparative study in collagen, collagen incorporated in tetramethyl orthosilicate (TMOS) and TMOS. In electrochemical studies, ferrocene was incorporated to facilitate electron transfer. The recognition characteristics of two chiral
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Tantra, Ratna. "Novel electrochemical biosensors." Thesis, University College London (University of London), 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.300847.

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Books on the topic "Biosensors"

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Neeti, Sadana, and ScienceDirect (Online service), eds. Handbook of biosensors and biosensor kinetics. Elsevier Science, 2010.

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Hall, Elizabeth A. H. Biosensors. Open University Press, 1990.

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Cort, Wrotnowski, and Business Communications Co, eds. Biosensors and chemical biosensors. Business Communications Co., 1994.

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Avis, Bourne Marlene, and Business Communications Co, eds. Biosensors and chemical biosensors. Business Communications Co., 1999.

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Ozkan, Sibel A., Bengi Uslu, and Mustafa Kemal Sezgintürk. Biosensors. CRC Press, 2022. http://dx.doi.org/10.1201/9781003189435.

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Scheller, Frieder. Biosensors. Elsevier, 1992.

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Scheller, F. Biosensors. Elsevier, 1992.

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Hall, ElizabethA H. Biosensors. Open University Press, 1990.

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Rogers, Kim, and Ashok Mulchandani. Affinity Biosensors. Humana Press, 1998. http://dx.doi.org/10.1385/0896035395.

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Marinesco, Stéphane, and Nicholas Dale, eds. Microelectrode Biosensors. Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-370-1.

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Book chapters on the topic "Biosensors"

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Håkanson, H., and B. Mattiasson. "Biosensors." In Recent Advances in Biotechnology. Springer Netherlands, 1992. http://dx.doi.org/10.1007/978-94-011-2468-3_5.

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Garg, Minal, and Sudhir Mehrotra. "Biosensors." In Principles and Applications of Environmental Biotechnology for a Sustainable Future. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-1866-4_11.

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Mayank and Rachana Arya. "Biosensors." In Advances in Biotechnology. Springer India, 2013. http://dx.doi.org/10.1007/978-81-322-1554-7_10.

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Fatoyinbo, Henry O., and Michael P. Hughes. "Biosensors." In Encyclopedia of Nanotechnology. Springer Netherlands, 2016. http://dx.doi.org/10.1007/978-94-017-9780-1_129.

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Stephens, L. D. Gray. "Biosensors." In Advanced Research on Animal Cell Technology. Springer Netherlands, 1989. http://dx.doi.org/10.1007/978-94-009-0875-8_11.

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Johnson, Blake N., and Raj Mutharasan. "Biosensors." In Advanced Micro and Nanosystems. Wiley-VCH Verlag GmbH & Co. KGaA, 2015. http://dx.doi.org/10.1002/9783527676330.ch16.

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Kheyraddini Mousavi, Arash, Zayd Chad Leseman, Manuel L. B. Palacio, et al. "Biosensors." In Encyclopedia of Nanotechnology. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-90-481-9751-4_129.

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Schalkhammer, Thomas G. M. "Biosensors." In Analytical Biotechnology. Birkhäuser Basel, 2002. http://dx.doi.org/10.1007/978-3-0348-8101-2_5.

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Sharma, Shobhana. "Biosensors." In Materials from Natural Sources. CRC Press, 2024. http://dx.doi.org/10.1201/9781032636368-6.

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Kashyap, Rajiv, Aman Chauhan, Archana Negi, Ganga Ram Chaudhary, and Ramesh K. Sharma. "Biosensors." In Advanced Materials for Biomedical Applications. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6286-0_8.

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Conference papers on the topic "Biosensors"

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Twiddy, Jack, Ethan Cove, Hayley Richardson, et al. "Modular Platform for Mobile Biosensing with Extended Gate Field-Effect Transistors." In 2024 IEEE BioSensors Conference (BioSensors). IEEE, 2024. http://dx.doi.org/10.1109/biosensors61405.2024.10712698.

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Hui, Wenhao, Ren Shen, Pui-In Mak, Rui P. Martins, Ka-Meng Lei, and Yanwei Jia. "Single-Cell Electric Impedance Sensor Based on Integrated Circuit Chip." In 2024 IEEE BioSensors Conference (BioSensors). IEEE, 2024. http://dx.doi.org/10.1109/biosensors61405.2024.10712687.

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Ravenscroft, Dafydd, and Luigi G. Occhipinti. "Live Demonstration: Interactive Oral Health Monitoring with PlaqueTrack." In 2024 IEEE BioSensors Conference (BioSensors). IEEE, 2024. http://dx.doi.org/10.1109/biosensors61405.2024.10712686.

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Kimura, Y., T. Kinoshita, K. Yasunaga, et al. "Detection of Alpha-Synuclein by LSPR with Different Lipid Layers and Self-Templating Properties." In 2024 IEEE BioSensors Conference (BioSensors). IEEE, 2024. http://dx.doi.org/10.1109/biosensors61405.2024.10712700.

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Norman, B., A. M. Arjun, G. Vulpe, et al. "Towards Cerebrospinal Fluid-Free Ultrasensitive Alzheimer's Diagnostics using Molecularly Imprinted Polymers." In 2024 IEEE BioSensors Conference (BioSensors). IEEE, 2024. http://dx.doi.org/10.1109/biosensors61405.2024.10712719.

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Kunrade, Liga, Briza Pérez-López, Karlis Pleiko, et al. "Selection and Characterization of Aptamers for the Development of a Point-of-Care Malaria Diagnostic Device." In 2024 IEEE BioSensors Conference (BioSensors). IEEE, 2024. http://dx.doi.org/10.1109/biosensors61405.2024.10712690.

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Ahmed, Tashfia, Enayet Rahman, Matt Bryan, Michael B. Powner, and Iasonas F. Triantis. "Screen-Printed Microfluidic Channel with Hydrophobic-Hydrophilic Treatments for Air Bubble Prevention." In 2024 IEEE BioSensors Conference (BioSensors). IEEE, 2024. http://dx.doi.org/10.1109/biosensors61405.2024.10712711.

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Vulpe, Georgeta, Guoyi Liu, Sam Oakley, et al. "Glucose and Lactate Monitoring Using Polyphenol Subdermal Wearable Patches." In 2024 IEEE BioSensors Conference (BioSensors). IEEE, 2024. http://dx.doi.org/10.1109/biosensors61405.2024.10712673.

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Lad, Tanmay, Prateek Tripathi, Costanza Gulli, Nicolas Moser, and Pantelis Georgiou. "Neural Synchrony for Neuromorphic ISFET Cluster Calibration." In 2024 IEEE BioSensors Conference (BioSensors). IEEE, 2024. http://dx.doi.org/10.1109/biosensors61405.2024.10712675.

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Durand, Hippolyte, Loïc Laplatine, Ali Kheir-Aldine, et al. "Surface Biofunctionalization of Silicon Photonic Mach-Zehnder Interferometers for Bacterial Biosensor Development." In 2024 IEEE BioSensors Conference (BioSensors). IEEE, 2024. http://dx.doi.org/10.1109/biosensors61405.2024.10712725.

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Reports on the topic "Biosensors"

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Harfield, William E. Symposium on Biosensors. Defense Technical Information Center, 1989. http://dx.doi.org/10.21236/ada217176.

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Stewart, C. N., Kooshki Jr., Ayalew Mitra, and Mentewab. Engineered Plants as Biosensors. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada414723.

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Rijal, Mehul. Fiber optics integrated with Biosensors. Iowa State University, 2021. http://dx.doi.org/10.31274/cc-20240624-726.

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Light, Yooli Kim, George David Bachand, Joseph S. Schoeniger, and Amanda M. Trent. Self-assembling holographic biosensors and biocomputers. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/884749.

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Fierke, Carol A. Optimization of Biosensors by Directed Evolution. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada410013.

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

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Goodson, Michael S., Yaroslav G. Chushak, Svetlana V. Harbaugh, and Nancy Kelley-Loughnane. Integrating and Amplifying Signal from Riboswitch Biosensors. Defense Technical Information Center, 2014. http://dx.doi.org/10.21236/ada612268.

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Tan, Weihong. Ultrasensitive Biosensors for Molecular Recognition and Manipulation. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada410625.

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Martin, Charles R., Barbara Ballarin, Charles J. Brumlik, and Del R. Lawson. Biosensors Based on Ultrathin Film Composite Membranes. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada275542.

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Carson, Monica J. Microglia as Biosensors and Effectors of Neurodysfunction. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada546077.

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