2020
DOI: 10.1039/c9an02294e
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A smartphone-based biomedical sensory system

Abstract: Disease diagnostics, food safety monitoring and environmental quality monitoring are the key means to safeguard human health.

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Cited by 57 publications
(61 citation statements)
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“…This study used intensity data from measurements carried out with the smartphone-based ECL sensor for estimating the mechanistic model parameters. The ECL data were determined using the chronoamperometric technique where a square waveform potential was applied to the carbon working electrode with 50 μL of Ru (bpy) 3 2 + /TPrA sample solution. The potential of 1.2 V vs. Ag/Ag + produced ECL intensity from the triggering of the reactions of the chemical species in the Ru(bpy) 3 2 + /TPrA system.…”
Section: Ecl Experimental Data Generationmentioning
confidence: 99%
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“…This study used intensity data from measurements carried out with the smartphone-based ECL sensor for estimating the mechanistic model parameters. The ECL data were determined using the chronoamperometric technique where a square waveform potential was applied to the carbon working electrode with 50 μL of Ru (bpy) 3 2 + /TPrA sample solution. The potential of 1.2 V vs. Ag/Ag + produced ECL intensity from the triggering of the reactions of the chemical species in the Ru(bpy) 3 2 + /TPrA system.…”
Section: Ecl Experimental Data Generationmentioning
confidence: 99%
“…The ECL data were determined using the chronoamperometric technique where a square waveform potential was applied to the carbon working electrode with 50 μL of Ru (bpy) 3 2 + /TPrA sample solution. The potential of 1.2 V vs. Ag/Ag + produced ECL intensity from the triggering of the reactions of the chemical species in the Ru(bpy) 3 2 + /TPrA system. Details of the chronoamperometric technique are presented elsewhere.…”
Section: Ecl Experimental Data Generationmentioning
confidence: 99%
See 3 more Smart Citations