Relevant bibliographies by topics / Biosensors

Contents

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

Academic literature on the topic 'Biosensors'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 October 2024

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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 (March 20, 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’s advantages, this article reviews the background knowledge and recent advances of DNA-based biosensors, including the functional DNA strands-based biosensors, DNA hybridization-based biosensors, and DNA templated biosensors. Then, the challenges and future directions of DNA-based biosensors are discussed and proposed.
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Schackart, Kenneth E., and Jeong-Yeol Yoon. "Machine Learning Enhances the Performance of Bioreceptor-Free Biosensors." Sensors 21, no. 16 (August 17, 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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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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Štukovnik, Zala, Regina Fuchs-Godec, and Urban Bren. "Nanomaterials and Their Recent Applications in Impedimetric Biosensing." Biosensors 13, no. 10 (September 22, 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 yielded promising results in improving sensitivity, selectivity, and overall biosensor performance. Hence, they offer a wide range of possibilities for developing advanced biosensing platforms that can be employed in various fields, including healthcare, environmental monitoring, and food safety. This review focuses on the recent developments in nanoparticle-functionalized electrochemical-impedimetric biosensors.
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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 (August 29, 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 problems. Our investigation concentrates on the analysis of the probability of AB + AG complex detection and evaluation. Poisson probability density distribution was used to estimate the probability of the adsorption of the target molecules on the biosensor’s surface and, consequently, to obtain correct detection results. Many implicit and unexpected causes of error detection have been identified for AB + AG complexes using SOI-FET biosensors. We showed that accuracy and time of detection depend on the number of SOI-FET biosensors on a crystal.
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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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Teh, Yijun, Asral Bahari Jambek, and Uda Hashim. "The latest trend in nano-bio sensor signal analysis." Sensor Review 36, no. 3 (June 20, 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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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 article. Potentiometric biosensor is frequently used for phosphate, toxicity and heavy metal detection. Amperometric biosensors are usually combined with enzymes for the identification of additives in products and contaminants in water. Voltammetric biosensors are most commonly used for blood glucose testing, but can also detect many tastes.
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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 (January 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. Lately, biosensor-based diagnostic and monitoring technology has attracted significant attention due to several advantageous features, including high sensitivity and specificity, high-throughput analysis, minimally invasive, and multiplexing ability. In this review article, we have focused our attention on glioma and presented a literature survey summarizing the diagnostic, prognostic, and predictive biomarkers associated with glioma. Further, we discussed different biosensory approaches reported to date for the detection of specific glioma biomarkers. Current biosensors demonstrate high sensitivity and specificity, which can be used for point-of-care devices or liquid biopsies. However, for real clinical applications, these biosensors lack high-throughput and multiplexed analysis, which can be achieved via integration with microfluidic systems. We shared our perspective on the current state-of-the-art different biosensor-based diagnostic and monitoring technologies reported and the future research scopes. To the best of our knowledge, this is the first review focusing on biosensors for glioma detection, and it is anticipated that the review will offer a new pathway for the development of such biosensors and related diagnostic platforms.
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Chowdhury, Dibyendu, Bishnu Prasad De, Bhargav Appasani, Navaneet Kumar Singh, Rajib Kar, Durbadal Mandal, Nicu Bizon, and Phatiphat Thounthong. "A Novel Dielectric Modulated Gate-Stack Double-Gate Metal-Oxide-Semiconductor Field-Effect Transistor-Based Sensor for Detecting Biomolecules." Sensors 23, no. 6 (March 8, 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 detection of biomolecules is validated using the ATLAS device simulator. The noise and analog/RF parameters are compared between both biosensors. A lower threshold voltage is observed in the GSDG-MOSFET-based biosensor. The Ion/Ioff ratio is higher for DG-MOSFET-based biosensors. The proposed GSDG-MOSFET-based biosensor demonstrates higher sensitivity than the DG-MOSFET-based biosensor. The GSDG-MOSFET-based biosensor is suitable for low-power, high-speed, and high sensitivity applications.
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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.
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 relevance as a next-generation biosensing tool. Silicon nanowire (SiNW) sensors were fabricated using a purely top-down process based on those used for non-planar integrated circuits on silicon-on-insulator wafers and characterized in both dry and in biologically relevant ambients. Canonical pH measurements validated the sensing capabilities of the initial SiNW test devices. A low density SiNW array with fluidic wells constituting isolated sensing sites was fabricated using this process and used to differentiate between both cancerous and healthy cells and to capture superparamagnetic particles from solution. Through-silicon vias were then incorporated to create a high density sensor array, which was also characterized in both dry and phosphate buffered saline ambients. The result is the foundation for a platform incorporating versatile label-free detection, high sensor densities, and a separation of the sensing and electronics layers. The electronic microplate described in this work is envisioned as the heart of a next-generation biosensing platform compatible with conventional clinical and laboratory workflows and one capable of fostering the realization of personalized medicine.
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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 investigated for potential application as sensing molecules, with roles similar to those traditionally occupied by antibodies. Aptamers and monoclonal antibodies have similar sensitivity in the pico to micro molar range. However aptamers have a number of advantages over protein antibodies, such as greater thermal stability, ease of chemical amplification, and amenability to modification, especially at the 5' and 3' prime ends. The work performed in this Thesis is divided into three categories. The first section describes the development of voltammetric Kanamycin and Tetracycline biosensors based on electrode immobilized, redox label bioconjugated nucleotide molecular beacons. These sensors relies on the target-aptamer binding induced spatial displacement of the redox label towards or away from the electrode surface as a means of signal generation. Further study was conducted to test the feasibility of this sensor design under likely field operation environments such as in soil sample analysis for microbial product discovery and in agricultural effluence for regulatory purposes. The biosensor was also enhanced by gel encapsulation for defense against nuclease degradation. Negative control was performed against structurally similar antibiotics of the same family in order to prove the specificity of the biosensor. Lastly, the sensor was moved onto an automated platform in a multichannel format in order to improve the utility of the sensor. The second section describes the development of a voltammetric biosensor based on Enzyme-Linked Oligonucleotide Assay (ELONA) technology. Two sub-types of ELONA-like biosensors were originally envisioned, based respectively on direct and indirect ELONA. Both sub-types depend on the mass of redox label rich Gold Nanoparticles (GNP) at the electrode surface as a means of signal generation. Negative controls was performed against globular proteins Bovine Serum Albumin and Lysozyme, the former since it is the most ubiquitous protein component of serum (the most likely biosensor operational environment), the latter as a worst case scenario for non-specific false positive results due to its positive charge. The last section describes an attempt to develop an automated SELEX device based on mesofluidic flow channels. It was hoped that by using flow channels of a millimeter scale it would be possible to retain both the advantages of the conventional auto sampler based SELEX protocols (large library and sequence variation), while also gaining the primary advantages of microfluidic SELEX (reduced contamination risk, low initial cost and maintenance). Essential components of the SELEX device, such as thermal cycler, liquid handling, electronics infrastructure, and software control were designed, tested and integrated. Lastly an attempt was made to perform automated SELEX against Lysozyme targets using the device, though no nucleic acid with high affinity to target had yet been successfully isolated by the end of this study.
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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 (PCA). I began my research using Raman spectroscopy, PLS analysis and two different validation methods to monitor heparin, an important blood anti-coagulant, in serum at clinical levels. I achieved lower LOD of heparin in serum using the Test Set Validation (TSV) method. The PLS analysis allowed me to distinguish between weak Raman signals of heparin in serum and background noise. I then focused on using SERS to further improve the LOD of analytes, and accomplished simultaneous detection of GLU-GABA in serum at clinical levels using the SERS and PLS models. This work demonstrated the applicability of using SERS in conjunction with PLS to measure properties of samples in blood serum. I also used SERS with HC-PCF configuration to detect leukemia cells, one of the most recurrent types of pediatric cancers. This was achieved by applying PLS regression and PCA techniques. Improving LOD was the next objective, and I was able to achieve this by improving the PLS model to decrease errors and remove outliers or unnecessary variables. The results of the final optimized models were evaluated by comparing them with the results of previous models of Heparin and Leukemia cell detection in previous sections. Finally, as a clinical application of Raman biosensors, I applied the enhanced Raman technique to detect polycystic ovary syndrome (PCOS) disease, and to determine the role of chemerin in this disease. I used SERS in conjunction with PCA to differentiate between PCOS and non-PCOS patients. I also confirmed the role of chemerin in PCOS disease, measured the level of chemerin, a chemoattractant protein, in PCOS and non-PCOS patients using PLS, and further improved LOD with the PLS regression model, as proposed in previous section.
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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 humidity due to moisture absorption in the beam. However it is not known whether any of these cross sensitivities have a significant impact on performance of the sensor during pulsed mode operation or following immersion into liquid. When analysing patient blood samples, any change in signal that is not caused by the change in blood viscosity during clotting could lead to a false result and consequently an incorrect dose of anticoagulants may be taken by the patient. In order to address these issues three aspects of the operation of polymer bi-material strip cantilevers has been researched and investigated: relative humidity; viscosity/density, and thermal conductivity of a liquid environment. The relative humidity was not found to affect the resonant frequency of a microcantilever operated in air, or to affect the ability of the cantilever to measure clot times. However, a decrease in deflection with increasing relative humidity of the SmartStrip microcantilever beams is observed at 1.1 ± 0.4 μm per 1% RH, and is constant with temperature over the range 10 – 37 °C, which is an issue that should be considered in quality control. In this study, the SmartStrip was shown to have viscosity sensitivity of 2 cP within the range 0.7 – 15.2 cP, and it was also shown that the influence of inertial effects is negligible in comparison to the viscosity. To investigate cross-sensitivity to the thermal properties of the environment, the first demonstration of a cantilever designed specifically to observe the thermal background is presented. Characterisation experiments showed that the piezoresistive component of the signal was minimised to -0.8% ± 0.2% of the total signal by repositioning the read out tracks onto the neutral axis of the beam. Characterisations of the signal in a range of silicone oils with different thermal conductivities gave a resolution to thermal conductivity of 0.3 Wm-1K-1 and resulted in a suggestion for design improvements in the sensor: the time taken for the thermal background signal to reach a maximum can be increased by increasing the distance between the heater and sensor, thus lessening the impact of the thermal crosstalk within the cantilever beam. A preliminary investigation into thermal properties of clotting blood plasma showed that the sensor can distinguish the change between fresh and clotted plasma.
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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 responses of the nematic liquid crystals 5CB, E7, ZLI 1695, ZLI 1132 and MDA 01-2012 to were measured by optical microscopy. The spots were seen to induce a tilted planar alignment in the liquid crystals in their nematic phase for spot diameters down to 4μm and for all separations. Anchoring transitions between different tilt angles were observed between spots for some arrays. This was linked to a change in anchoring energy at the gold, possibly stemming from the angle of gold deposition. When heated through the nematic to isotropic phase transition cross defects were observed to nucleate on the gold spots for all spot sizes above 4μm. On cooling through the transition grid patterns of defects were observed to nucleate pinned between the spots for arrays of spots with length scales between 10μm and 20μm. The birefringence and elastic constants K11 and K33 of the liquid crystals were measured for temperatures up to their nematic to isotropic transition points. The birefringences of the liquid crystals at the transition were found to range between 0.003 and 0.007. The device thickness was varied between 7μm and 40μm. Values for the elastic constants were found to range between 1pN and 4pN. The intensity of monochromatic light (670nm) reflected from the arrays as the liquid crystals were cooled through the phase transition was found to increase for smaller values of the elastic constants and found to be highest where the grid of defects on the array was observed most clearly. The effect on the intensity of the birefringence and cell thickness was shown to be small compared to the effect of elasticity. Two possible biosensor designs are proposed. The first would identify the presence of a biological analyte at a surface by the change in alignment of a liquid crystal. This type of sensor would be optimised by carefully controlling the anchoring energy of the liquid crystal at the surface to minimise the quantity of surface binding required to induce an anchoring transition. The second would detect the presence at a patterned surface of an analyte by the defects that form over the pattern as the liquid crystal changes between the nematic to isotropic phases. This type of sensor would be optimised by choosing a liquid crystal with small elastic constants at the phase transition and by designing a patterned surface with length scales between 10microns and 20microns.
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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 aptamer against C-Reactive Protein. From an analytical point of view, the work was devoted to the optimisation of the analytical performance of a piezoelectric and an optical aptasensor for Thrombin and C-Reactive Protein detection, respectively. Efforts towards the application of these aptasensors in complex matrices, such as human plasma and serum, were also undertaken, in order to demonstrate the wide applicability of aptamers, as an alternative to antibodies. In this work, the possibility of introducing a computationally-assisted method to study aptamer-protein interaction and aptamer selection was also evaluated. For this purpose, the Thrombin-binding aptamer was chosen as a model and a retrospective docking study was performed by comparing the affinity of mutated sequences for thrombin with that of the Thrombin-binding aptamer, on the basis of a computationally-derived binding score. Finally, the reliability of computational results was tested by experimental measurements. For this purpose, the Thrombin-binding aptamer and other mutated sequences, selected on the basis of their binding score, were employed for the development of optical biosensors and the resulting analytical performances were compared. Even if further studies should be carried out in order to validate the proposed computational approach to aptamer selection, this work can have a significant impact on future aptamers selection for sensors and diagnostics.
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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 enzymes, L-lactate oxidase and D-glucose oxidase were tested using circular dichroism (CD), Fourier Transform Infra-Red (FTIR) spectroscopy and electrochemical methods. A surprising result revealed an inversion of chiral selectivity. The effect of various parameters such as immobilisation, temperature, chemical modification, solvent systems, on enantioselectivity is well known. Stereoinversions caused by the ‘sergeants and soldiers’ effect in gel-forming p-conjugated molecules caused by co-assembly has been reported by several groups. The inversion of stereoselectivity observed in this study is probably due to a combination of the microenvironment and electrostatic interactions of the enzyme, mediator and substrate with the chiral collagen matrix. The results may have important implications for biosensing, asymmetric syntheses and understanding the nature of chiral interactions in biological systems.
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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. Amsterdam: Elsevier Science, 2010.

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Hall, Elizabeth A. H. Biosensors. Milton Keynes: Open University Press, 1990.

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

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

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

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Scheller, Frieder. Biosensors. London: Elsevier, 1992.

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Scheller, F. Biosensors. Amsterdam: Elsevier, 1992.

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Hall, ElizabethA H. Biosensors. Milton Keynes: Open University Press, 1990.

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

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Marinesco, Stéphane, and Nicholas Dale, eds. Microelectrode Biosensors. Totowa, NJ: 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, 89–111. Dordrecht: 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, 341–63. Singapore: 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, 179–94. New Delhi: 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, 387–404. Dordrecht: 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, 157–72. Dordrecht: 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, 391–426. Weinheim, Germany: 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, Bharat Bhushan, Scott R. Schricker, Vishnu-Baba Sundaresan, Stephen Andrew Sarles, et al. "Biosensors." In Encyclopedia of Nanotechnology, 329–45. Dordrecht: 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, 167–219. Basel: Birkhäuser Basel, 2002. http://dx.doi.org/10.1007/978-3-0348-8101-2_5.

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Kashyap, Rajiv, Aman Chauhan, Archana Negi, Ganga Ram Chaudhary, and Ramesh K. Sharma. "Biosensors." In Advanced Materials for Biomedical Applications, 167–83. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-6286-0_8.

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Mattiasson, Bo. "Biosensors." In Biotechnology, 75–103. Weinheim, Germany: Wiley-VCH Verlag GmbH, 2008. http://dx.doi.org/10.1002/9783527620852.ch3.

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Conference papers on the topic "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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Abstract:
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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Niederhoffer, Thomas, Anne Vanhoestenberghe, and Henry T. Lancashire. "Effect of pH and gel electrolyte on safe charge injection and electrode degradation of platinum electrodes." In 2023 IEEE BioSensors Conference (BioSensors). IEEE, 2023. http://dx.doi.org/10.1109/biosensors58001.2023.10280965.

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Unnikrishnan, Aleena, and Dinesh Veeran Ponnuvelu. "Development of plasmonic ZnO@Ag core-shell nanostructures embedded PDMS pillars as hot-spots for SERS detection." In 2023 IEEE BioSensors Conference (BioSensors). IEEE, 2023. http://dx.doi.org/10.1109/biosensors58001.2023.10281176.

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"BioSensors 2023 Frontmatter." In 2023 IEEE BioSensors Conference (BioSensors). IEEE, 2023. http://dx.doi.org/10.1109/biosensors58001.2023.10280948.

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Schuck, Ariadna, Hyo Eun Kim, Minhee Kang, and Yong-Sang Kim. "Enhanced Multiplexed Sensor for the Quantification of Inflammatory-related Biomarkers to Identify Sepsis Stages." In 2023 IEEE BioSensors Conference (BioSensors). IEEE, 2023. http://dx.doi.org/10.1109/biosensors58001.2023.10280904.

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"BioSensors 2023 Copyright Page." In 2023 IEEE BioSensors Conference (BioSensors). IEEE, 2023. http://dx.doi.org/10.1109/biosensors58001.2023.10280818.

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Sharkey, Christopher, Jack Twiddy, Kaila L. Peterson, Angélica F. Aroche, Stefano Menegatti, and Michael A. Daniele. "Towards electrochemical control of pH for regeneration of biosensors." In 2023 IEEE BioSensors Conference (BioSensors). IEEE, 2023. http://dx.doi.org/10.1109/biosensors58001.2023.10281061.

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"BioSensors 2023 Cover Page." In 2023 IEEE BioSensors Conference (BioSensors). IEEE, 2023. http://dx.doi.org/10.1109/biosensors58001.2023.10281010.

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Chowdhury, Azmal Huda, Borzooye Jafarizadeh, Md Shariful Islam Sozal, Zhe Cheng, Nezih Pala, and Chunlei Wang. "Flexible Piezoresistive Pressure Sensor Based on Graphene Nano Plateletes." In 2023 IEEE BioSensors Conference (BioSensors). IEEE, 2023. http://dx.doi.org/10.1109/biosensors58001.2023.10281069.

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Zimmer, Morgane, Stephane Trombotto, Emmanuelle Laurenceau, and Anne-Laure Deman. "Chitosan as material for the elaboration of lab-on-a-chip." In 2023 IEEE BioSensors Conference (BioSensors). IEEE, 2023. http://dx.doi.org/10.1109/biosensors58001.2023.10281097.

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Reports on the topic "Biosensors"

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Harfield, William E. Symposium on Biosensors. Fort Belvoir, VA: Defense Technical Information Center, November 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. Fort Belvoir, VA: Defense Technical Information Center, May 2003. http://dx.doi.org/10.21236/ada414723.

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Rijal, Mehul. Fiber optics integrated with Biosensors. Ames (Iowa): Iowa State University, January 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), May 2006. http://dx.doi.org/10.2172/884749.

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

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

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Tan, Weihong. Ultrasensitive Biosensors for Molecular Recognition and Manipulation. Fort Belvoir, VA: Defense Technical Information Center, February 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. Fort Belvoir, VA: Defense Technical Information Center, January 1994. http://dx.doi.org/10.21236/ada275542.

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

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