2022
DOI: 10.1016/j.snr.2022.100078
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Colorimetric Visual Sensors for Point-of-needs Testing

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Cited by 30 publications
(11 citation statements)
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“…The findings confirmed that optical sensors are useful for disease identification and quantification when combined with smartphones. Without complicated instrumentation, multiplexed optical sensors combined with smart detection and screening tools save time and money as practical diagnostic tools [ 56 , 57 ]. However, there are several drawbacks to smartphone-based optical sensors, such as the required optimization of lighting conditions [ 58 ].…”
Section: Smartphone-based Sensing Methodsmentioning
confidence: 99%
“…The findings confirmed that optical sensors are useful for disease identification and quantification when combined with smartphones. Without complicated instrumentation, multiplexed optical sensors combined with smart detection and screening tools save time and money as practical diagnostic tools [ 56 , 57 ]. However, there are several drawbacks to smartphone-based optical sensors, such as the required optimization of lighting conditions [ 58 ].…”
Section: Smartphone-based Sensing Methodsmentioning
confidence: 99%
“…In this technique, color tags or enzymes are used for the detection of DNA compatible with the substrate. Alternatively, nucleic acids functionalized with nanomaterial-based assays can be used for the detection and quantification of DNA (Krishnan and Syed, 2022). During colorimetric analysis, colloidal solution gold Frontiers in Bioengineering and Biotechnology frontiersin.org nanoparticles (GNPs) exhibit different colors based on their distance from red to blue.…”
Section: Colorimetric-based Dna Sensors (Cms)mentioning
confidence: 99%
“…Quantitative determination of analyte concentration via visual color change can be subjective and thus reduces the overall accuracy of the detection system. Apart from this, uncontrollable and self‐aggregation of the nanomaterial in a complex sample matrix may generate false‐positive data along with high background signals (Krishnan, 2022). Recent developments include the incorporation of 2D materials such as graphene, transition metal oxides, and MXenes along with nanoparticles.…”
Section: Nano‐biosensors: a Step Towards Advanced Detection Platformsmentioning
confidence: 99%