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Sensitive colorimetric assay for uric acid and glucose detection based on multilayer-modified paper with smartphone as signal readout

Overview of attention for article published in Analytical & Bioanalytical Chemistry, February 2018
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2 tweeters

Citations

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17 Mendeley
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.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 29%
Unspecified 4 24%
Student > Ph. D. Student 4 24%
Student > Doctoral Student 2 12%
Student > Postgraduate 1 6%
Other 1 6%
Readers by discipline Count As %
Chemistry 6 35%
Unspecified 4 24%
Engineering 4 24%
Medicine and Dentistry 2 12%
Computer Science 1 6%
Other 0 0%

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
#10,146,897
of 12,695,728 outputs
Outputs from Analytical & Bioanalytical Chemistry
#2,889
of 4,709 outputs
Outputs of similar age
#202,437
of 270,786 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#89
of 151 outputs
Altmetric has tracked 12,695,728 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,709 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 270,786 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 151 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.