Articles with "optical biosensors" as a keyword



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Transport Effects on Multiple-Component Reactions in Optical Biosensors

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Published in 2017 at "Bulletin of Mathematical Biology"

DOI: 10.1007/s11538-017-0327-9

Abstract: Optical biosensors are often used to measure kinetic rate constants associated with chemical reactions. Such instruments operate in the surface–volume configuration, in which ligand molecules are convected through a fluid-filled volume over a surface to… read more here.

Keywords: transport effects; reactions optical; optical biosensors; multiple component ... See more keywords
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Recent advances in nanomaterial-based optical biosensors for food safety applications: Ochratoxin-A detection, as case study.

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Published in 2023 at "Critical reviews in food science and nutrition"

DOI: 10.1080/10408398.2023.2168248

Abstract: Global population growth tremendously impacts the global food industry, endangering food safety and quality. Mycotoxins, particularly Ochratoxin-A (OTA), emerge as a food chain production threat, since it is produced by fungus that contaminates different food… read more here.

Keywords: food safety; food; detection; optical biosensors ... See more keywords
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Optical biosensors utilizing graphene and functional DNA molecules

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Published in 2017 at "Journal of Materials Research"

DOI: 10.1557/jmr.2017.103

Abstract: Single-stranded DNA molecules capable of molecular recognition and catalysis can now be routinely generated via the technique of in vitro selection. When coupled with adequate signal transduction modes, these synthetic functional DNA species represent a… read more here.

Keywords: dna molecules; functional dna; utilizing graphene; dna ... See more keywords
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Gold Nanoparticles Based Optical Biosensors for Cancer Biomarker Proteins: A Review of the Current Practices

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Published in 2022 at "Frontiers in Bioengineering and Biotechnology"

DOI: 10.3389/fbioe.2022.877193

Abstract: Cancer prognosis depends on the early detection of the disease. Gold nanoparticles (AuNPs) have attracted much importance in biomedical research due to their distinctive optical properties. The AuNPs are easy to fabricate, biocompatible, surface controlled,… read more here.

Keywords: gold nanoparticles; biosensors cancer; optical biosensors; based optical ... See more keywords
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Overview of Optical Biosensors for Early Cancer Detection: Fundamentals, Applications and Future Perspectives

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Published in 2023 at "Biology"

DOI: 10.3390/biology12020232

Abstract: Simple Summary Due to the increase in cancer incidence worldwide, a necessity for early cancer detection arises. Since the conventional detection and treatment techniques are costly, great efforts have been exerted in developing new methods… read more here.

Keywords: spectroscopy; detection; optical biosensors; cancer detection ... See more keywords
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A Framework for Biosensors Assisted by Multiphoton Effects and Machine Learning

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Published in 2022 at "Biosensors"

DOI: 10.3390/bios12090710

Abstract: The ability to interpret information through automatic sensors is one of the most important pillars of modern technology. In particular, the potential of biosensors has been used to evaluate biological information of living organisms, and… read more here.

Keywords: assisted multiphoton; machine; machine learning; biosensors assisted ... See more keywords
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Recent Advances of Representative Optical Biosensors for Rapid and Sensitive Diagnostics of SARS-CoV-2

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Published in 2022 at "Biosensors"

DOI: 10.3390/bios12100862

Abstract: The outbreak of Corona Virus Disease 2019 (COVID-19) has again emphasized the significance of developing rapid and highly sensitive testing tools for quickly identifying infected patients. Although the current reverse transcription polymerase chain reaction (RT-PCR)… read more here.

Keywords: representative optical; advances representative; detection; optical biosensors ... See more keywords
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PreOBP_ML: Machine Learning Algorithms for Prediction of Optical Biosensor Parameters

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Published in 2023 at "Micromachines"

DOI: 10.3390/mi14061174

Abstract: To develop standard optical biosensors, the simulation procedure takes a lot of time. For reducing that enormous amount of time and effort, machine learning might be a better solution. Effective indices, core power, total power,… read more here.

Keywords: learning algorithms; machine; machine learning; optical biosensors ... See more keywords