| Title |
Sensitive colorimetric assay for uric acid and glucose detection based on multilayer-modified paper with smartphone as signal readout
|
|---|---|
| Published in |
Analytical & Bioanalytical Chemistry, February 2018
|
| DOI | 10.1007/s00216-018-0939-4 |
| Pubmed ID | |
| Authors |
Xu Wang, Fang Li, Ziqi Cai, Kaifan Liu, Jing Li, Boyang Zhang, Jianbo He |
| 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 produced by the oxidases (uricase or GOD) reacts with the substrates (uric acid or glucose), and could oxidize the co-immoblized chromogenic reagents to form colored products with HRP as catalyst. A simple strategy by placing the test paper on top of a light-emitting diode lamp was adopted to efficiently prevent influence from the external light. The color images were recorded by the smartphone camera, and then the gray values of the color images were calculated for quantitative analysis. The developed method provided a wide linear response from 0.01 to 1.0 mM for uric acid detection and from 0.02 to 4.0 mM for glucose detection, with a limit of detection (LOD) as low as 0.003 and 0.014 mM, respectively, which was much lower than for previously reported paper-based colorimetric assays. The proposed assays were successfully applied to uric acid and glucose detection in real serum samples. Furthermore, the enhanced analytical performance of the proposed method allowed the non-invasive detection of glucose levels in tear samples, which holds great potential for point-of-care analysis. Graphical abstract ᅟ. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 25% |
| France | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 50% |
| Members of the public | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 106 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 20% |
| Student > Master | 13 | 12% |
| Student > Bachelor | 10 | 9% |
| Student > Doctoral Student | 6 | 6% |
| Researcher | 4 | 4% |
| Other | 17 | 16% |
| Unknown | 35 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 21 | 20% |
| Engineering | 13 | 12% |
| Agricultural and Biological Sciences | 5 | 5% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Psychology | 5 | 5% |
| Other | 16 | 15% |
| Unknown | 41 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 March 2018.
All research outputs
#17,292,294
of 25,382,440 outputs
Outputs from Analytical & Bioanalytical Chemistry
#5,671
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Outputs of similar age
#222,391
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Outputs of similar age from Analytical & Bioanalytical Chemistry
#85
of 184 outputs
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