Visual detection of uric acid in serum through catalytic oxidation by a novel cellulose membrane biosensor with schiff base immobilized uricase

IF 10.7 1区 生物学 Q1 BIOPHYSICS Biosensors and Bioelectronics Pub Date : 2024-11-09 DOI:10.1016/j.bios.2024.116912
Qi Sun , Shiji Miao , Wenlong Yu , En-Yu Jiang , Mixue Gong , Genyan Liu , Xiaogang Luo , Ming-Zhi Zhang
{"title":"Visual detection of uric acid in serum through catalytic oxidation by a novel cellulose membrane biosensor with schiff base immobilized uricase","authors":"Qi Sun ,&nbsp;Shiji Miao ,&nbsp;Wenlong Yu ,&nbsp;En-Yu Jiang ,&nbsp;Mixue Gong ,&nbsp;Genyan Liu ,&nbsp;Xiaogang Luo ,&nbsp;Ming-Zhi Zhang","doi":"10.1016/j.bios.2024.116912","DOIUrl":null,"url":null,"abstract":"<div><div>Uric acid (UA) serves as an important biochemical marker of various diseases, making the development of a novel method for its rapid and straightforward visual detection highly valuable. In this study, a uricase-based cellulose membrane biosensor (<strong>UCMB</strong>) was constructed by immobilizing uricase via a Schiff base reaction and nitroblue tetrazolium chloride (NBT) through adsorption. The <strong>UCMB</strong> detects UA through a mechanism in which uricase catalyzes the oxidation of UA, generation O<sub>2</sub><sup>−·</sup> radicals that subsequently oxidize NBT to formazan, producing a distinctive color change from yellow to purple. The <strong>UCMB</strong> demonstrated successful visual detection of UA within 15 min, allowing for rapid naked-eye analysis. Additionally, the biosensor quantitatively detected UA over a broad linear range from 0 to 1000 μM, with a low detection limit of 3.88 μM. Most notably, the <strong>UCMB</strong> has accurately measured UA in human serum samples, comparable to the results from a commercial UA meter. These findings suggest that the <strong>UCMB</strong> can serve as a simple and reliable tool for early diagnosis of UA-related diseases.</div></div>","PeriodicalId":259,"journal":{"name":"Biosensors and Bioelectronics","volume":"268 ","pages":"Article 116912"},"PeriodicalIF":10.7000,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biosensors and Bioelectronics","FirstCategoryId":"1","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0956566324009199","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 0

Abstract

Uric acid (UA) serves as an important biochemical marker of various diseases, making the development of a novel method for its rapid and straightforward visual detection highly valuable. In this study, a uricase-based cellulose membrane biosensor (UCMB) was constructed by immobilizing uricase via a Schiff base reaction and nitroblue tetrazolium chloride (NBT) through adsorption. The UCMB detects UA through a mechanism in which uricase catalyzes the oxidation of UA, generation O2−· radicals that subsequently oxidize NBT to formazan, producing a distinctive color change from yellow to purple. The UCMB demonstrated successful visual detection of UA within 15 min, allowing for rapid naked-eye analysis. Additionally, the biosensor quantitatively detected UA over a broad linear range from 0 to 1000 μM, with a low detection limit of 3.88 μM. Most notably, the UCMB has accurately measured UA in human serum samples, comparable to the results from a commercial UA meter. These findings suggest that the UCMB can serve as a simple and reliable tool for early diagnosis of UA-related diseases.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
通过新型纤维素膜生物传感器的催化氧化作用,以肉眼可见的方式检测血清中的尿酸。
尿酸(UA)是多种疾病的重要生化标志物,因此开发一种快速、直接的肉眼检测尿酸的新方法具有重要价值。本研究通过希夫碱反应固定尿酸酶,并通过吸附作用固定硝基蓝氯化四氮唑(NBT),构建了基于尿酸酶的纤维素膜生物传感器(UCMB)。UCMB 检测尿酸的机制是尿酸酶催化尿酸氧化,生成 O2 自由基,然后将 NBT 氧化成甲酰肼,产生从黄色到紫色的独特颜色变化。UCMB 在 15 分钟内就成功地检测出了尿酸,实现了快速肉眼分析。此外,该生物传感器可在 0 至 1000 μM 的宽线性范围内定量检测尿素氮,检测限低至 3.88 μM。最值得注意的是,UCMB 能准确测量人体血清样本中的尿素氮,与商用尿素氮检测仪的结果相当。这些研究结果表明,UCMB 可以作为一种简单可靠的工具,用于早期诊断尿酸相关疾病。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Biosensors and Bioelectronics
Biosensors and Bioelectronics 工程技术-电化学
CiteScore
20.80
自引率
7.10%
发文量
1006
审稿时长
29 days
期刊介绍: Biosensors & Bioelectronics, along with its open access companion journal Biosensors & Bioelectronics: X, is the leading international publication in the field of biosensors and bioelectronics. It covers research, design, development, and application of biosensors, which are analytical devices incorporating biological materials with physicochemical transducers. These devices, including sensors, DNA chips, electronic noses, and lab-on-a-chip, produce digital signals proportional to specific analytes. Examples include immunosensors and enzyme-based biosensors, applied in various fields such as medicine, environmental monitoring, and food industry. The journal also focuses on molecular and supramolecular structures for enhancing device performance.
期刊最新文献
Corrigendum to "Probiotic bacterial adsorption coupled with CRISPR/Cas12a system for mercury (II) ions detection" [Biosens. Bioelectron. 263 (2024) 116627]. Retraction notice to "A comprehensive study on transparent conducting oxides in compact microbial fuel cells: Integrated spectroscopic and electrochemical analyses for monitoring biofilm growth" [Biosens. Bioelectron. 250 (2024) 116067]. The value of electrochemical ratiometry in immunosensing: A systematic study. Conductive single enzyme nanocomposites prepared by in-situ growth of nanoscale polyaniline for high performance enzymatic bioelectrode. A skin-mountable flexible biosensor based on Cu-MOF/PEDOT composites for sweat ascorbic acid monitoring.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1