Aniqa Sehrish, Romana Manzoor, Jingxian Li, Hongfen Yang, Ren Cai
{"title":"Dual Enzyme Mimetic Activities of CuBiZr@PAH Nanocomposites for Enzyme Free Colorimetric Detection of Glucose and Uric Acid","authors":"Aniqa Sehrish, Romana Manzoor, Jingxian Li, Hongfen Yang, Ren Cai","doi":"10.1002/admt.202500693","DOIUrl":null,"url":null,"abstract":"<p>Novel colorimetric sensors are designed for ultrasensitive and highly efficient detection of glucose and uric acid (UA) based on dual enzyme mimetic activities of CuBiZr@PAH nanocomposite (P1). The colorimetric sensor utilizes the glucose oxidase-like (GOx) and peroxidase-like (POD) activities of P1 to detect glucose and UA. When P1 is present in a solution of glucose and 3,3′5,5′-tetramethylbenzidine (TMB), P1 catalyzes two cascade reactions: one between glucose and O<sub>2</sub> and the other between TMB and as-generated hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>). The latter reaction provides visual results of glucose analysis with a LOD of 0.04 m<span>m</span> in the range of 0–40 m<span>m</span> in human serum samples. Furthermore, when P1 is present in a solution of UA, TMB, and H<sub>2</sub>O<sub>2</sub>, P1 catalyzes cascade reactions: one reaction between UA and H<sub>2</sub>O<sub>2</sub> and the other reaction between TMB + H<sub>2</sub>O<sub>2</sub>. UA suppresses the POD-like activity of P1 to detect UA with a LOD of 0.15 µ<span>m</span> in the range of 10 µ<span>m</span>–1.5 m<span>m</span> in urine samples. P1 exhibits dual enzyme mimetic activities for efficient detection of glucose and UA in real samples. The as-designed colorimetric sensors display high selectivity, good stability, excellent specificity, and desirable practicability for detecting glucose and UA in real samples.</p>","PeriodicalId":7292,"journal":{"name":"Advanced Materials Technologies","volume":"10 19","pages":""},"PeriodicalIF":6.4000,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Materials Technologies","FirstCategoryId":"88","ListUrlMain":"https://advanced.onlinelibrary.wiley.com/doi/10.1002/admt.202500693","RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Novel colorimetric sensors are designed for ultrasensitive and highly efficient detection of glucose and uric acid (UA) based on dual enzyme mimetic activities of CuBiZr@PAH nanocomposite (P1). The colorimetric sensor utilizes the glucose oxidase-like (GOx) and peroxidase-like (POD) activities of P1 to detect glucose and UA. When P1 is present in a solution of glucose and 3,3′5,5′-tetramethylbenzidine (TMB), P1 catalyzes two cascade reactions: one between glucose and O2 and the other between TMB and as-generated hydrogen peroxide (H2O2). The latter reaction provides visual results of glucose analysis with a LOD of 0.04 mm in the range of 0–40 mm in human serum samples. Furthermore, when P1 is present in a solution of UA, TMB, and H2O2, P1 catalyzes cascade reactions: one reaction between UA and H2O2 and the other reaction between TMB + H2O2. UA suppresses the POD-like activity of P1 to detect UA with a LOD of 0.15 µm in the range of 10 µm–1.5 mm in urine samples. P1 exhibits dual enzyme mimetic activities for efficient detection of glucose and UA in real samples. The as-designed colorimetric sensors display high selectivity, good stability, excellent specificity, and desirable practicability for detecting glucose and UA in real samples.
期刊介绍:
Advanced Materials Technologies Advanced Materials Technologies is the new home for all technology-related materials applications research, with particular focus on advanced device design, fabrication and integration, as well as new technologies based on novel materials. It bridges the gap between fundamental laboratory research and industry.