Issue 40, 2018
From the journal:

Analytical Methods

A CoOOH nanoflake-based light scattering probe for the simple and selective detection of uric acid in human serum†

Zhi Yuan Mao,a   Lu Ning Zhu,a   Jie Gao,a   Jia Jun Liu,a   Yin Hui Wei,a   Xin Yu Li,a   Bin Cheng Yin ORCID logo *b  and  Jian Wang ORCID logo *a  

* Corresponding authors

a Key Laboratory of Luminescent and Real-Time Analytical Chemistry (Southwest University), Ministry of Education, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
E-mail: wj123456@swu.edu.cn
Fax: +86 23 68866796
Tel: +86 23 68254059

b Lab of Biosystem and Microanalysis, State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai, China
E-mail: binchengyin@ecust.edu.cn
Fax: +86 21 64253832
Tel: +86 21 64253832

Abstract

As a major metabolic product of purine nucleotides, uric acid (UA) usually presents in urine and serum, which is closely related to human health. With the catalysis by uricase, uric acid can yield allantoin, CO2 and H2O2. Then, the produced H2O2 is able to decompose CoOOH nanoflakes into Co2+, resulting in a smaller size with weakened light scattering. This work provides a simple and selective light scattering method for UA analysis with a linear range from 1.0 × 10−5 to 1.0 × 10−3 M and a detection limit of 1.0 × 10−6 M. In addition, this method has been successfully applied to the determination of UA in human serum samples with similar results to clinical methods.

Graphical abstract: A CoOOH nanoflake-based light scattering probe for the simple and selective detection of uric acid in human serum

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Article information

DOI
https://doi.org/10.1039/C8AY01839A
Article type
Paper
Submitted
19 Aug 2018
Accepted
11 Sep 2018
First published
12 Sep 2018

Anal. Methods, 2018,10, 4951-4957

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A CoOOH nanoflake-based light scattering probe for the simple and selective detection of uric acid in human serum

Z. Y. Mao, L. N. Zhu, J. Gao, J. J. Liu, Y. H. Wei, X. Y. Li, B. C. Yin and J. Wang, Anal. Methods, 2018, 10, 4951 DOI: 10.1039/C8AY01839A

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