2018
DOI: 10.1007/s00216-018-0939-4
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Sensitive colorimetric assay for uric acid and glucose detection based on multilayer-modified paper with smartphone as signal readout

Abstract: In this work, a multilayer-modified paper-based colorimetric sensing platform with improved color uniformity and intensity was developed for the sensitive and selective determination of uric acid and glucose with smartphone as signal readout. In detail, chitosan, different kinds of chromogenic reagents, and horseradish peroxidase (HRP) combined with a specific oxidase, e.g., uricase or glucose oxidase (GOD), were immoblized onto the paper substrate to form a multilayer-modified test paper. Hydrogen peroxide pr… Show more

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Cited by 122 publications
(58 citation statements)
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References 30 publications
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“…Smartphones are convenient, could be widely applied, and offer good users' experience, making them effective instruments for on-site detection [9][10][11]. To date, most smartphone-based types of colorimetric analysis were reported using the phone's camera for directly capturing images from samples [11][12][13][14]. For example, Xu [13] and our group [15] took photos with a smartphone camera for the quantitative detection of blood and urinary glucose through RGB image analysis.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Smartphones are convenient, could be widely applied, and offer good users' experience, making them effective instruments for on-site detection [9][10][11]. To date, most smartphone-based types of colorimetric analysis were reported using the phone's camera for directly capturing images from samples [11][12][13][14]. For example, Xu [13] and our group [15] took photos with a smartphone camera for the quantitative detection of blood and urinary glucose through RGB image analysis.…”
Section: Introductionmentioning
confidence: 99%
“…To date, most smartphone-based types of colorimetric analysis were reported using the phone's camera for directly capturing images from samples [11][12][13][14]. For example, Xu [13] and our group [15] took photos with a smartphone camera for the quantitative detection of blood and urinary glucose through RGB image analysis. However, there are certain issues that arise when a camera is used as a detector, such as smartphone brand, focusing location, distance between camera and samples, and exogenous light pollution [10].…”
Section: Introductionmentioning
confidence: 99%
“…To this end, optical paper‐based biosensors are in particular advantageous because the interfaces can be quite simple. Barcode‐like paper sensors with developed apps for image acquisition and analysis have been demonstrated for applications such as blood typing haematocrit level determination, glucose and uric acid measurements . Multilayer‐modified paper substrates have been adapted with a smartphone read‐out for the detection of L‐lactate in oral fluid and tears .…”
Section: Smartphone‐based Diagnostic Systemsmentioning
confidence: 99%
“…Techniques involving laser cutting, wax printing or photolithography are often cited . PADs were originally developed for the separation of plasma from whole blood ‐ notably by using glass‐fiber paper, for the detection of heavy metal ions or for the detection of biomolecules such as uric acid and glucose in various biological samples . PADs have also been used for bacterial diagnostics (eg Mycobacterium tuberculosis ) .…”
Section: Introductionmentioning
confidence: 99%
“…[30][31][32][33][34] PADs were originally developed for the separation of plasma from whole bloodnotably by using glass-fiber paper, 35 for the detection of heavy metal ions 36,37 or for the detection of biomolecules such as uric acid and glucose in various biological samples. 38,39 PADs have also been used for bacterial diagnostics (eg Mycobacterium tuberculosis). 40 More recently, PADs have been developed for arboviruses diagnostics, including Zika and dengue.…”
mentioning
confidence: 99%