Academic literature on the topic 'Based biosensors'

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Journal articles on the topic "Based biosensors"

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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 analysis, and also, their extent and diversity could be called a real “biosensor revolution”. A panel of examples of biosensors: enzyme-, DNA-, imuno-, whole-cell-based biosensors were systematised depending on the reaction type, transduction signal, or analytical performances. The mechanism of enzyme-based biosensor and the kinetic of detection process are described and compared. In this context, is explainable why bioelectronics, nanotechnology, miniaturization, and bioengineering will compete for developing sensitive and selective biosensors able to determine multiple analytes simultaneously and/or integrated in wireless communications systems.
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Rho, Donggee, Caitlyn Breaux, and Seunghyun Kim. "Label-Free Optical Resonator-Based Biosensors." Sensors 20, no. 20 (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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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 with modeling to gain specificity. Here, we present how ML has been used to enhance the performance of these bioreceptor-free biosensors. Particularly, we discuss how ML has been used for imaging, Enose and Etongue, and surface-enhanced Raman spectroscopy (SERS) biosensors. Notably, principal component analysis (PCA) combined with support vector machine (SVM) and various artificial neural network (ANN) algorithms have shown outstanding performance in a variety of tasks. We anticipate that ML will continue to improve the performance of bioreceptor-free biosensors, especially with the prospects of sharing trained models and cloud computing for mobile computation. To facilitate this, the biosensing community would benefit from increased contributions to open-access data repositories for biosensor data.
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Gómez-Gómez, Maribel, Ángela Ruiz-Tórtola, Daniel González-Lucas, María-José Bañuls, and Jaime García-Rupérez. "New Method for Online Regeneration of Silicon-Based Nanophotonic Biosensors." Proceedings 4, no. 1 (2018): 22. http://dx.doi.org/10.3390/ecsa-5-05741.

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The optimal development of biosensors is a costly and time-consuming task, since an enormous amount of experiments is required. Therefore, the possibility of reusing the biosensors is highly desirable. In this work, a protocol based on the use of formamide for the regeneration of nanophotonic biosensors used for oligonucleotides detection is presented. This protocol was carried out online using the microfluidic system used to drive the target samples to the nanophotonic biosensor, thus allowing the possibility of running several experiments in a row using the same biosensor.
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Aydemir, Nihan, Jenny Malmström, and Jadranka Travas-Sejdic. "Conducting polymer based electrochemical biosensors." Physical Chemistry Chemical Physics 18, no. 12 (2016): 8264–77. http://dx.doi.org/10.1039/c5cp06830d.

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Conducting polymer (CP)-based electrochemical biosensors have gained great attention as such biosensor platforms are easy and cost-effective to fabricate, and provide a direct electrical readout of the presence of biological analytes with high sensitivity and selectivity.
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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 analyses based on the amplitude of the signal. Based on the analysis, auto-threshold peak detection is proposed for further work. Originality/value Suitability of the signal processing algorithm to be applied to nano-biosensors was reported.
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Li, Chunmei, Yihan Wang, Hui Jiang, and Xuemei Wang. "Biosensors Based on Advanced Sulfur-Containing Nanomaterials." Sensors 20, no. 12 (2020): 3488. http://dx.doi.org/10.3390/s20123488.

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In recent years, sulfur-containing nanomaterials and their derivatives/composites have attracted much attention because of their important role in the field of biosensor, biolabeling, drug delivery and diagnostic imaging technology, which inspires us to compile this review. To focus on the relationships between advanced biomaterials and biosensors, this review describes the applications of various types of sulfur-containing nanomaterials in biosensors. We bring two types of sulfur-containing nanomaterials including metallic sulfide nanomaterials and sulfur-containing quantum dots, to discuss and summarize the possibility and application as biosensors based on the sulfur-containing nanomaterials. Finally, future perspective and challenges of biosensors based on sulfur-containing nanomaterials are briefly rendered.
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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 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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Ferrigno, Paul Ko. "Non-antibody protein-based biosensors." Essays in Biochemistry 60, no. 1 (2016): 19–25. http://dx.doi.org/10.1042/ebc20150003.

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Biosensors that depend on a physical or chemical measurement can be adversely affected by non-specific interactions. For example, a biosensor designed to measure specifically the levels of a rare analyte can give false positive results if there is even a small amount of interaction with a highly abundant but irrelevant molecule. To overcome this limitation, the biosensor community has frequently turned to antibody molecules as recognition elements because they are renowned for their exquisite specificity. Unfortunately antibodies can often fail when immobilised on inorganic surfaces, and alternative biological recognition elements are needed. This article reviews the available non-antibody-binding proteins that have been successfully used in electrical and micro-mechanical biosensor platforms.
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Pourbasheer, Eslam, Zhila Azari, and Mohammad Reza Ganjali. "Recent Advances in Biosensors Based Nanostructure for Pharmaceutical Analysis." Current Analytical Chemistry 15, no. 2 (2019): 152–58. http://dx.doi.org/10.2174/1573411014666180319152853.

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Background: The development of novel nanostructures for pharmaceutical analysis has received great attention. Biosensors are a class of analytical techniques competent in the rapid quantification of drugs. Recently, the nanostructures have been applied for modification of biosensors. Objective: The goal of the present study is to review novel nanostructures for pharmaceutical analysis by biosensors. Method: In this review, the application of different biosensors was extensively discussed. Results: Biosensors based nanostructures are a powerful alternative to conventional analytical techniques, enabling highly sensitive, real-time, and high-frequency monitoring of drugs without extensive sample preparation. Several examples of their application have been reported. Conclusion: The present paper reviews the recent advances on the pharmaceutical analysis of biosensor based nanostructures.
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Dissertations / Theses on the topic "Based 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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Ball, Mark. "Biosensors based on capacitance measurement." Thesis, University of Newcastle Upon Tyne, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.363894.

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Hammond, Jules L. "Micro- and nanogap based biosensors." Thesis, University of Bath, 2017. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.715307.

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Biosensors are used for the detection of a range of analytes for applications in healthcare, food production, environmental monitoring and biodefence. However, many biosensing platforms are large, expensive, require skilled operators or necessitate the analyte to be labelled. Direct electrochemical detection methods present a particularly attractive platform due to the simplified instrumentation when compared to other techniques such as fluorescence-based biosensors. With modern integrated circuit capabilities electrochemical biosensors offer greater suitability for monolithic integration with any necessary signal processing circuitry. This thesis explores micro- and nanogap devices for both redox cycling and dielectric spectroscopy sensing mechanisms. By using two electrodes with interelectrode separation down to distances in the micro- and nanometre scale, several benefits can be realised. Firstly the close proximity of the two electrodes significantly reduces the interdiffusion time. This allows an electroactive species to be rapidly shuttled across the gap and switched between reduced and oxidised states. The result is feedback amplification of the amperometric response, increasing the signal. The second benefit is that the screening effect caused by electric double layers at the electrode–electrolyte interface is reduced due to the electric double layers occupying a larger fraction of the sensing volume. This significantly improves the sensor suitability for dielectric spectroscopy by increasing the potential drop across the biolayer. These two sensing mechanisms are demonstrated using a large area dual-plate microgap device for the detection of two different analytes. Utilising the first mode, detection of cysteine–cystine, an important redox couple involved in the signalling mechanism for the regulation of protein function, interaction and localisation is shown. The microgap device is then used for dielectric spectroscopy sensing of a mannose-specific uropathogenic Escherichia coli strain whilst also demonstrating the effect of ionic concentration on the capacitive response. The response of these devices is highly dependent on the interelectrode separation as well as the surface area of the electrodes. However, fabrication of large-area nanogap devices presents a significant challenge. This meant that careful optimisation and the development of novel techniques was necessary. This work reports the design, fabrication and characterisation of both a vertical and a horizontal coplanar large area nanogap device. The vertical nanogap device is fabricated using an inductively-coupled plasma reactive ion etching process to create a channel in a silicon substrate. A lower electrode is then optically patterned in the channel before anodically bonding a second identical electrode patterned on glass directly above. The horizontal nanogap device uses a different approach, utilising a state-of-the-art electron-beam lithography system to create a long serpentine nanogap with passivation to reduce fringing effects. The design allows the electron-beam lithography step to be substituted with nanoimprint lithography to reduce cost and improve throughput. Both of these devices have integrated microfluidic channels and provide a capacity for relatively high-throughput production.
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Li, Jiahao. "Heterogeneously integrated impedance based biosensors." Thesis, University of Cambridge, 2018. https://www.repository.cam.ac.uk/handle/1810/277259.

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The salient issues of integrated biosensors on a complementary metal-oxide semiconductor (CMOS) platform are the limited transducer design and the need for post-processing. To overcome these issues, a heterogeneously integrated system, which employs both CMOS and large-area processing, was proposed and developed. The system presented, could become a rapid, low-cost and disposable sensing platform for point-of-care applications. The heterogeneously integrated system, comprising a CMOS front-end circuit and disposable electrodes, was applied to measure the impedance of suspended DNA at different concentrations. The measurement showed a double sensitivity compared to the one carried out on the CMOS platform only. The noise analysis of CMOS transimpedance amplifiers was performed, and the impact of technology scaling on low-noise transimpedance amplifiers was studied using the Enz-Krummenacher-Vittoz (EKV) model. It was found that the noise performance improves slowly with device scaling down to 90 nm. Further device scaling may increase the gate leakage current noise due to the very thin gate oxide. Disposable electrodes fabricated using large-area processing are low cost and flexible in terms of design. In particular, inkjet-printed silver electrodes on glossy paper and gold electrodes on the glass substrate were characterised. Both electrodes with the same dimension agreed well in determining solution resistance. In addition, the paper-based electrodes presented an improved sensitivity of impedance measurement at low frequencies. The amorphous oxide thin-film transistor (TFT) is promising for implementing active circuits on disposable substrates. In particular, the low-frequency noise of amorphous indium-gallium-zinc-oxide (a-IGZO) TFTs was characterised, and a TFT-based regulated cascade transimpedance amplifier was designed and simulated with the extracted device parameters. The a-IGZO TFT showed a comparable noise performance to the PMOS device in deep submicron processes. The simulated circuit featured a transimpedance gain up to 120 dB, a bandwidth of 29.4 kHz, input-referred noise PSD of 2.91 pA/√Hz, and a power consumption of 18.55 μW, indicating that TFT-based front-end circuits are promising for implementing low-cost, low-noise and low-power biosensors.
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Ocaña, Tejada Cristina. "Aptasensors based on electrochemical impedance spectroscopy." Doctoral thesis, Universitat Autònoma de Barcelona, 2015. http://hdl.handle.net/10803/305103.

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En els últims anys, a causa de la necessitat de diàgnostics ràpids i de millores en sensat, s’han utilitzat nous elements de reconeixement en biosensors. Un tipus d’aquests nous elements de reconeixement són els aptàmers. Els aptàmers són cadenes sintètiques de ADN o ARN les quals són seleccionades in vitro i tenen la capacitat d’unir-se a proteïnes, ions, cèl.lules, fàrmacs i lligands de baix pes molecular, reconeixent les seves molècules diana amb alta afinitat i especificitat. Diversos biosensors basats en aptàmers, també anomenats aptasensors, han sigut desenvolupats recentment. D’entre totes les tècniques de transducció utilitzades en biosensors, l’Espectrocòpia Electroquímica d’Impedància ha sigut àmpliament emprada como a eina per caracteritzar la superficies de sensors i estudiar esdeveniments en el biosensat en la superficie d’elèctrodes. La característica més important que presenta aquesta tècnica és que no requereix cap espècie marcada per a la transducció, per tant, aquesta tècnica de detecció pot utilitzar-se per dissenyar protocols de detecció directa sense marcatge, evitant assajos més cars i laboriosos. El principal objectiu d’aquesta tesi doctoral va ser el desenvolupament d’aptasensors utilitzant la tècnica electroquímica d’impedància esmentada anteriorment. Per a això, diferents tipus d’elèctrodes van ser utilitzats, tals com elèctrodes de compòsit grafit-epoxi, elèctrodes de biocompòsit grafit-epoxi modificats amb molècules d’avidina i elèctrodes comercials serigrafiats de nanotubs de carboni de paret múltiple. El treball es va dividir principalmente en dues parts d'acord amb la detecció de dues proteïnes diferents. La primera part es va focalitzar en la detecció de trombina. Primer de tot, es van comparar i avaluar diversos aptasensors de detecció directa sense marcatge basat en diferents tècniques d'immobilització dels aptàmers, tals com: adsorció física humida, afinitat avidina-biotina i enllaç covalent mitjançant activació electroquímica de la superfície de l'elèctrode i mitjançant inserció electroquímica. Posteriorment, els elèctrodes de biocompòsit van ser comparats com a plataformes en genosensat i aptasensat. Amb la finalitat d'amplificar el senyal impedimètric obtingut utilitzant elèctrodes de biocompòsit, un protocol sàndwich va ser emprat incloent nanopartícules d'or modificades amb estreptavidina i tractament amplificador de plata. La segona part de l'estudi es va basar en la detecció de citocrom c. Primerament, es va realitzar un simple aptasensor de detecció directa sense marcatge per a la detecció d'aquesta proteïna utilitzant la tècnica d'immobilització d'adsorció física humida. Finalment, i amb l'objectiu d'amplificar el señal impedimètric, es va desenvolupar un assaig tipus sándwich híbrid d’aptàmer i anticòs utilitzant elèctrodes serigrafiats de nanotubs de carboni de paret múltiple. D'aquesta manera, la tesi explora i compara una àmplia gamma de procediments d'immobilització, l'ús de detecció directa sense marcatge o nanomaterial modificat amb biomolècules en diferents protocols directes o d'amplificació, i l'ús de reconeixement directe i sándwich per amplificar la sensibilitat i/o la selectivitat de l'assaig.<br>In the recent years, due to the need for rapid diagnosis and improvements in sensing, new recognition elements are employed in biosensors. One kind of these new recognition elements are aptamers. Aptamers are synthetic strands of DNA or RNA which are selected in vitro and have the ability to bind to proteins, ions, whole cells, drugs and low molecular weight ligands recognizing their target with high affinity and specificity. Several aptamer-based biosensors, also called aptasensors, have been recently developed. Among all the transduction techniques employed in biosensors, Electrochemical Impedance Spectroscopy has widely used as a tool for characterizing sensor platforms and for studying biosensing events at the surface of the electrodes. The important feature presented by this technique is that it does not require any labelled species for the transduction; thus, this detection technique can be used for designing label-free protocols thus avoiding more expensive and time-consuming assays. The main aim of this PhD work was the development of aptasensors using the electrochemical impedance technique previously mentioned for protein detection. For that, different types of electrodes were used, such as Graphite Epoxy Composite electrodes (GECs), Avidin Graphite Epoxy Composite electrodes (AvGECs) and commercial Multi-Walled carbon nanotubes screen printed electrodes (MWCNT-SPE). The work was divided in two main parts according to the detection of the two different proteins. The first part was focused on thrombin detection. First of all, different impedimetric label-free aptasensors based on several aptamer immobilization techniques such as wet physical adsorption, avidin-biotin affinity and covalent bond via electrochemical activation of the electrode surface and via electrochemical grafting were developed and evaluated. Then, AvGECs electrodes were compared as a platform for genosensing and aptasensing. With the aim to amplying the obtained impedimetric signal using AvGECs, an aptamer sandwich protocol for thrombin detection was used including streptavidin gold-nanoparticles (Strep-AuNPs) and silver enhancement treatment. The second part of the study was based on cytochrome c detection. Firstly, a simple label-free aptasensor for the detection of this protein using a wet physical adsorption immobilization technique was performed. Finally, with the goal to amplify the impedimetric signal, a hybrid aptamer-antibody sandwich assay using MWCNT-SPE for the detection of the target protein was carried out. In this way, the thesis explores and compares a wide scope of immobilization procedures, the use of label-free or nanocomponent modified biomolecules in different direct or amplified protocols, and the use of direct recognition and sandwich alternatives to enhance sensitivity and/or selectivity of the assay
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Shaw, Shannon Joanne. "The development of polypyrrole-based biosensors /." View thesis, 1994. http://library.uws.edu.au/adt-NUWS/public/adt-NUWS20030901.111607/index.html.

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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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Skewis, Lynell R. "Plasmon coupling based single-molecule biosensors." Thesis, Boston University, 2012. https://hdl.handle.net/2144/31602.

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Thesis (Ph.D.)--Boston University<br>PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.<br>The understanding of many important biological systems requires tools that allow for dynamic nanoscale distance monitoring and single-molecule resolution. Proteins binding to nucleic acids and cell surface receptor oligomerization are examples of biopolymer interactions that occur at length scales below the diffraction limit of -are not very bright. Therefore, the development of alternative tools with improved spacial and temporal resolution for the application to single molecule biology studies is highly desirable. One such tool is based on the plasmon coupling of discrete pairs of noble metal nanoparticles (plasmon rulers). The signal from plasmon rulers is based on scattering, so they are photophysically stable and are significantly brighter than fluorescent dye molecules. The plasmons of nearby nanoparticles couple in a distance dependant manner. As particles approach each other within one diameter's length, their scattering signal increases and the wavelength of the scattered light red-shifts exponentially with decreasing interparticle distance. As a first application to RNA, plasmon rulers were applied to study the modulation of RNA-enzyme interactions by spermidine, a polycation. This study showed that spermidine induces the transient stabilization of secondary structures within RNA, as evidenced by discrete subpopulations of cleavage times in the presence of the single-strand specific enzyme, RNase A. The optical response of RNA tethered plasmon rulers results in polarization of the scattered light along the long dimer axis. Analysis of changes in polarization in both the time and frequency scale allowed for the characterization of dimer motion (implying states of the RNA tether). Plasmon rulers are also attractive tools for applying to the study of receptor clustering on the surface of live cells. To enable these studies a novel method for the preparation of stable, antibody functionalized silver nanoparticles based on gel matrix confinement was developed.<br>2031-01-01
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Zhou, Xinzhe. "Development of Gold Nanocluster-Based Biosensors." Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/76678.

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Gold nanoclusters possess both theoretical and practical importance in the development of ultrasensitive biosensors based on surface-enhanced Raman spectroscopy (SERS). Manipulation of gold nanoclusters in a predictable and reproducible manner for the application of refined biochemical analysis still remains challenging. In this study, high-purity gold nanoclusters are isolated via a simple method based on density gradient centrifugation. Three distinct bands including monomers, small aggregates (2-4 nanospheres), and large aggregates (>5 nanospheres) can be separated via density gradient centrifugation. The isolated gold nanoclusters greatly enhance the Raman intensity of the trapped dye molecules such that single nanocluster detection is feasible. To develop a gold nanoparticle-based biosensor for influenza virus, effort was also made to modify recognition moieties such as aptamers to gold nanoparticles via distinct approaches. The increase of hydraulic diameter and the shift of optical absorbance spectrum indicate the success of surface modification to gold nanoparticles.<br>Master of Science
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Topoglidis, Emmanuel. "Biosensors based on nanoporous TiO2 films." Thesis, Imperial College London, 2001. http://hdl.handle.net/10044/1/7573.

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Books on the topic "Based biosensors"

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Cell-based biosensors. Technomic Pub. Co., 1995.

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Zhang, Jin, Qiang Ni, and Robert H. Newman, eds. Fluorescent Protein-Based Biosensors. Humana Press, 2014. http://dx.doi.org/10.1007/978-1-62703-622-1.

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Xia, Fan, Xiaojin Zhang, Xiaoding Lou, and Quan Yuan, eds. Biosensors Based on Sandwich Assays. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-7835-4.

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Cell-based biosensors: Principles and applications. Artech House, 2009.

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Scheller, F., and Man Bock Gu. Biosensors based on aptamers and enzymes. Edited by Kim Hak-Sung (Biologist) editor. Springer, 2014.

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Gu, Man Bock, and Hak-Sung Kim, eds. Biosensors Based on Aptamers and Enzymes. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-54143-8.

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Jin, Zhang, Qiang Ni, and Robert H. Newman. Fluorescent protein-based biosensors: Methods and protocols. Humana Press, 2014.

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Luo, Yunbo. Functional Nucleic Acid Based Biosensors for Food Safety Detection. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8219-1.

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Semiconductor device-based sensors for gas, chemical, and biomedical applications. CRC, 2011.

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Andres, Roberto. Development of fibre-optic biosensors based on immobilised enzymes and studies on their analytical applications. UMIST, 1996.

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Book chapters on the topic "Based biosensors"

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Durmuş, N. Gözde, Richard L. Lin, Mariel Kozberg, Deniz Dermici, Ali Khademhosseini, and Utkan Demirci. "Acoustic-Based Biosensors." In Encyclopedia of Microfluidics and Nanofluidics. Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-5491-5_10.

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Varzakas, Theodoros H., Georgia-Paraskevi Nikoleli, and Dimitrios P. Nikolelis. "Immunology-based Biosensors." In Advances in Food Diagnostics. John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781119105916.ch10.

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Zourob, Mohammed, and Steven Ripp. "Bacteriophage-Based Biosensors." In Recognition Receptors in Biosensors. Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-0919-0_11.

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Acha, Victor, Thomas Andrews, Qin Huang, Dhiraj K. Sardar, and Peter J. Hornsby. "Tissue-Based Biosensors." In Recognition Receptors in Biosensors. Springer New York, 2009. http://dx.doi.org/10.1007/978-1-4419-0919-0_9.

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Strianese, Maria, Maria Staiano, Giuseppe Ruggiero, Tullio Labella, Claudio Pellecchia, and Sabato D’Auria. "Fluorescence-Based Biosensors." In Methods in Molecular Biology. Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-806-1_9.

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Durmuş, N. Gözde, Richard L. Lin, Mariel Kozberg, Deniz Dermici, Ali Khademhosseini, and Utkan Demirci. "Acoustic-Based Biosensors." In Encyclopedia of Microfluidics and Nanofluidics. Springer US, 2014. http://dx.doi.org/10.1007/978-3-642-27758-0_10-2.

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del Valle, Manel, and Alessandra Bonanni. "Impedimetric DNA Biosensors Based on Nanomaterials." In Biosensors Nanotechnology. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118773826.ch4.

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Álvarez, Mar, Laura G. Carrascosa, Kiril Zinoviev, Jose A. Plaza, and Laura M. Lechuga. "Biosensors Based on Cantilevers." In Biosensors and Biodetection. Humana Press, 2009. http://dx.doi.org/10.1007/978-1-60327-569-9_4.

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Anik, Ülkü. "Gold Nanoparticle-Based Electrochemical Biosensors for Medical Applications." In Biosensors Nanotechnology. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781118773826.ch3.

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Nolte, David D. "Diffraction-Based Interferometric Biosensors." In Optical Interferometry for Biology and Medicine. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-0890-1_6.

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Conference papers on the topic "Based biosensors"

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Zhang, Bo, and Tony Zhengyu Cui. "Flexible Layer-by-Layer Self-Assembled Graphene Based Glucose Biosensors." In ASME 2011 International Mechanical Engineering Congress and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/imece2011-64423.

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The manufacture and characterization of glucose biosensor based on layer by layer self assembled graphene are presented. Due to self assembly technique and flexible polymer substrate, the cost of the biosensor is very competitive. The resolution of the graphene based biosensor reaches down to 10 pM, which shows greater advantages over CNT based biosensor under the same conditions. The response time of graphene biosensor is less than 3 s, which is much faster than other materials and methods. This work demonstrates that graphene and polymers are very promising materials for the applications of low-cost glucose biosensors.
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Olivio, Malini. "SERS Based Biosensors." In Asia Communications and Photonics Conference. OSA, 2012. http://dx.doi.org/10.1364/acpc.2012.ath3e.1.

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Olivio, Malini. "SERS Based Biosensors." In Asia Communications and Photonics Conference. OSA, 2012. http://dx.doi.org/10.1364/acp.2012.ath3e.1.

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Gürel, Hikmet Hakan, and Bahadır Salmankurt. "Graphene based biosensors." In 9TH INTERNATIONAL PHYSICS CONFERENCE OF THE BALKAN PHYSICAL UNION (BPU-9). AIP Publishing LLC, 2016. http://dx.doi.org/10.1063/1.4944169.

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Schulz, Mark J., Amos Doepke, Xuefei Guo, et al. "Responsive Biosensors for Biodegradable Magnesium Implants." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-13101.

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A biosensor is an electronic device that measures biologically important parameters. An example is a sensor that measures the chemicals and materials released during corrosion of a biodegradable magnesium implant that impact surrounding cells, tissues and organs. A responsive biosensor is a biosensor that responds to its own measurements. An example is a sensor that measures the corrosion of an implant and automatically adjusts (slows down or speeds up) the corrosion rate. The University of Cincinnati, the University of Pittsburgh, North Carolina A&amp;T State University, and the Hannover Medical Institute are collaborators in an NSF Engineering Research Center (ERC) for Revolutionizing Metallic Biomaterials (RBM). The center will use responsive sensors in experimental test beds to develop biodegradable magnesium implants. Our goal is to develop biodegradable implants that combine novel bioengineered materials based on magnesium alloys, miniature sensor devices that monitor and control the corrosion, and coatings that slow corrosion and release biological factors and drugs that will promote healing in surrounding tissues. Responsive biosensors will monitor what is happening at the interface between the implant and tissue to ensure that the implant is effective, biosafe, and provides appropriate strength while degrading. Corrosion behavior is a critical factor in the design of the implant. The corrosion behavior of implants will be studied using biosensors and through mathematical modeling. Design guidelines will be developed to predict the degradation rate of implants, and to predict and further study toxicity arising from corrosion products (i.e., Mg ion concentrations, pH levels, and hydrogen gas evolution). Knowing the corrosion rate will allow estimations to be made of implant strength and toxicity risk throughout the degradation process.
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Faegh, Samira, and Nader Jalili. "Ultra Sensitive Piezoelectric-Based Microcantilever Sensor Operating at High Modes for Detection of Ultrasmall Masses." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3938.

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Detection of ultrasmall masses such as proteins and pathogens has been made possible as a result of nano-technological advancements. Development of label-free and highly sensitive biosensors has enabled the transduction of molecular recognition into detectable physical quantities. MicroCantilever (MC)-based systems have played a widespread role in developing such biosensors. One of the most important drawbacks of the available biosensors their high cost. Moreover, biosensors are normally quipped with external devices such as actuator and read out systems which are bulky and expensive. A unique self-sensing detection technique is proposed in this paper in order to address the limitations of the measurement systems. A number of approaches have been reported for enhancing the sensitivity of MC-based systems including geometry modification, employing nanoparticle-enhanced MCs and operating MCs in lateral and torsional modes. Although being investigated, there have not been analytical high fidelity models describing comprehensive dynamics and behavior of MCs operating in high modes. In this study, a comprehensive mathematical modeling is presented for the proposed self-sensing detection platform operating at ultrahigh mode using distributed-parameters system modeling. Mode convergence theory was adopted to have an accurate level of estimation. An extensive experimental setup was built using piezoelectric MC operating at high mode which verified theoretical modeling results. Finally, the whole platform was utilized as a biosensor for detection of ultrasmall adsorbed mass along with the theoretical and experimental results and verification. It was proved that operating MC at ultrahigh mode increases the sensitivity of system to detect adsorbed mass as a result of increased quality factor.
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Narakathu, Binu Baby, Bruce E. Bejcek, and Massood Z. Atashbar. "Impedance based electrochemical biosensors." In 2009 IEEE Sensors. IEEE, 2009. http://dx.doi.org/10.1109/icsens.2009.5398365.

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Merkoçi, Arben. "1.2.3 Nanomaterials-based Biosensors." In 14th International Meeting on Chemical Sensors - IMCS 2012. AMA Service GmbH, Von-Münchhausen-Str. 49, 31515 Wunstorf, Germany, 2012. http://dx.doi.org/10.5162/imcs2012/1.2.3.

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Prins, Menno W. J., Adrian Ionescu, James Anthony, and Charles Bland. "Magnetic Biosensors—From Molecule to System." In BIOMAGNETISM AND MAGNETIC BIOSYSTEMS BASED ON MOLECULAR RECOGNITION PROCESSES. AIP, 2008. http://dx.doi.org/10.1063/1.2956822.

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Bienstman, P., T. Claes, C. Lerma Arce, W. Bogaerts, K. Komorowska, and D. Van Thourhout. "Novel ring resonator based biosensors." In 12th European Quantum Electronics Conference CLEO EUROPE/EQEC. IEEE, 2011. http://dx.doi.org/10.1109/cleoe.2011.5943694.

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Reports on the topic "Based biosensors"

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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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HUGHES, ROBERT C., DARREN W. BRANCH, and SUSAN M. BROZIK. Final LDRD Report for the Project Entitled: Biosensors Based on the Electrical Impedance of Tethered Lipid Bilayers on Planar Electrodes. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/809611.

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Stice, Steven L., Jamie Chilton, and Allan Powe. Human Neural Cell-Based Biosensor. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada522666.

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Stice, Steven L., and Jamie Chilton. Human Neural Cell-Based Biosensor. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada566123.

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Stice, Steven L., and Jamie Chilton. Human Neural Cell-Based Biosensor. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada585294.

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Slice, Steven L., Jamie Chilton, and Allan Powe. Human Neural Cell-Based Biosensor. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada554709.

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Stice, Steven L., Jamie Chilton, and Allan Powe. Human Neural Cell-Based Biosensor. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada552021.

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Stice, Steven L., and Jamie Chilton. Human Neural Cell-Based Biosensor. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada559383.

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Stice, Steven L. Human Neural Cell-Based Biosensor. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada571881.

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James J Hickman. Function-based Biosensor for Hazardous Waste Toxin Detection. Office of Scientific and Technical Information (OSTI), 2008. http://dx.doi.org/10.2172/934539.

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