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Enhancing uric acid electrochemical detection with copper ion-activated mini protein mimicking uricase within ZIF-8: response surface methodology (RSM) optimization

Overview of attention for article published in Analytical & Bioanalytical Chemistry, November 2023
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Title
Enhancing uric acid electrochemical detection with copper ion-activated mini protein mimicking uricase within ZIF-8: response surface methodology (RSM) optimization
Published in
Analytical & Bioanalytical Chemistry, November 2023
DOI 10.1007/s00216-023-05011-z
Pubmed ID
Authors

Siti Fatimah Nur Abdul Aziz, Ong Sin Hui, Abu Bakar Salleh, Yahaya M. Normi, Nor Azah Yusof, Siti Efliza Ashari, Shahrul Ainliah Alang Ahmad

Abstract

This study aims to investigate the influence of copper(II) ions as a cofactor on the electrochemical performance of a biocomposite consisting of a mini protein mimicking uricase (mp20) and zeolitic immidazolate framework-8 (ZIF-8) for the detection of uric acid. A central composite design (CCD) was utilized to optimize the independent investigation, including pH, deposition potential, and deposition time, while the current response resulting from the electrocatalytic oxidation of uric acid was used as the response. The statistical analysis of variance (ANOVA) showed a good correlation between the experimental and predicted data, with a residual standard error percentage (RSE%) of less than 2% for predicting optimal conditions. The synergistic effect of the nanoporous ZIF-8 host, Cu(II)-activated mp20, and reduced graphene oxide (rGO) layer resulted in a highly sensitive biosensor with a limit of detection (LOD) of 0.21 μM and a reproducibility of the response (RSD = 0.63%). The Cu(II)-activated mp20@ZIF-8/rGO/SPCE was highly selective in the presence of common interferents, and the fabricated layer exhibited remarkable stability with signal changes below 4.15% after 60 days. The biosensor's reliable performance was confirmed through real sample analyses of human serum and urine, with comparable recovery values to conventional HPLC.

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Attention Score in Context

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 09 January 2024.
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#20,673,680
of 25,394,764 outputs
Outputs from Analytical & Bioanalytical Chemistry
#6,612
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Outputs of similar age
#250,840
of 357,085 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#89
of 140 outputs
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