2023
DOI: 10.1016/bs.coac.2023.02.002
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Nanoconjugated materials as sensors in point-of-care diagnostic tools: Detection of small molecules and viruses

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Cited by 2 publications
(5 citation statements)
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“…Although reviews of label-free biosensing technologies are readily available [21][22][23], we offer a perspective on challenges and advancements that specifically target the detection of small molecules under 1 kDa. Recent reviews on small-molecule detection have been focused on advancements of particular transducers or particular small molecules of interest [2,[4][5][6][7]16]. Therefore, this review offers a comprehensive introduction to the recent advancement in label-free and real-time small-molecule detections since the last comprehensive review to our knowledge [1].…”
Section: Optical Transductionmentioning
confidence: 99%
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“…Although reviews of label-free biosensing technologies are readily available [21][22][23], we offer a perspective on challenges and advancements that specifically target the detection of small molecules under 1 kDa. Recent reviews on small-molecule detection have been focused on advancements of particular transducers or particular small molecules of interest [2,[4][5][6][7]16]. Therefore, this review offers a comprehensive introduction to the recent advancement in label-free and real-time small-molecule detections since the last comprehensive review to our knowledge [1].…”
Section: Optical Transductionmentioning
confidence: 99%
“…Optical transductions can measure a variety of signals related to the presence of small molecules, such as absorption, scattering, luminescence, or refractive index [2]. Optical biosensors typically offer fast results with high temporal resolution for real-time monitoring of binding, making them ideal for diagnostics and point-of-care devices [7]. However, the signal of optical transducers generally scales with the size and/or mass of the analyte of interest, especially when avoiding the use of fluorescent labels [2,7,24].…”
Section: Optical Transductionmentioning
confidence: 99%
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