2018
DOI: 10.1039/c8ra04006k
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New portable smartphone-based PDMS microfluidic kit for the simultaneous colorimetric detection of arsenic and mercury

Abstract: A smartphone-based microfluidic platform was developed for point-of-care (POC) detection using surface plasmon resonance (SPR) of gold nanoparticles (GNPs).

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Cited by 48 publications
(29 citation statements)
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“…The linear range for mercury and arsenic was between 710 to 1278 µg L −1 . The LOD for mercury and arsenic was 10.77 to 53.86 µg L −1 , respectively [133].…”
Section: Surface Plasmon Resonancementioning
confidence: 97%
“…The linear range for mercury and arsenic was between 710 to 1278 µg L −1 . The LOD for mercury and arsenic was 10.77 to 53.86 µg L −1 , respectively [133].…”
Section: Surface Plasmon Resonancementioning
confidence: 97%
“…There are already non-plasma-based competing technologies in the field that are capable of quantifying metals and making other physiological and clinical measurements directly and in real-time. Some of which include electrochemical methods such as the anodic stripping voltammetry (ASV) [ 99 ] routinely used for blood lead (PbB) measurement, x-ray fluorimeters (XRF) and laser induced breakdown spectrometers (LIBS) for measuring higher concentration metals in solid samples, ion selective electrodes for various metals in solution, and colorimetric methods using premade reagent kits [ 100 ].…”
Section: Competing Technologiesmentioning
confidence: 99%
“…Reported application has been tested to multiple heavy metals contamination in water such as mercury, copper, and lead (Xiao, et al 2020). Another similar kind of smartphone-based PDMS microfluidic kit has been reported to detect mercury and arsenic contamination presence in water samples (Motalebizadeh, et al 2018). Further capability of smartphone to detect change in color has been exploited to measure mercury contamination in water by integrating smartphone-based application with fabricated paper-based colorimetric sensor (Firdaus, et al 2019).…”
Section: Introductionmentioning
confidence: 99%