An enzymatic activity regulation-based clusterzyme sensor array for high-throughput identification of heavy metal ions
作者全名:"Li, Yueyuan; Mu, Zhaode; Yuan, Yonghua; Zhou, Jing; Bai, Lijuan; Qing, Min"
作者地址:"[Li, Yueyuan; Yuan, Yonghua; Zhou, Jing; Bai, Lijuan] Chongqing Med Univ, Coll Pharm, Chongqing Res Ctr Pharmaceut Engn, Chongqing 400016, Peoples R China; [Mu, Zhaode; Qing, Min] Chongqing Med Univ, Coll Pharm, Res Ctr Pharmacodynam Evaluat Engn Technol Chongqi, Chongqing 400016, Peoples R China"
通信作者:"Bai, LJ (通讯作者),Chongqing Med Univ, Coll Pharm, Chongqing Res Ctr Pharmaceut Engn, Chongqing 400016, Peoples R China.; Qing, M (通讯作者),Chongqing Med Univ, Coll Pharm, Res Ctr Pharmacodynam Evaluat Engn Technol Chongqi, Chongqing 400016, Peoples R China."
来源:JOURNAL OF HAZARDOUS MATERIALS
ESI学科分类:ENGINEERING
WOS号:WOS:000991153100001
JCR分区:Q1
影响因子:12.2
年份:2023
卷号:454
期号:
开始页:
结束页:
文献类型:Article
关键词:Gold nanoclusters; Peroxidase-like activity; Traditional Chinese medicine; Linear discriminant analysis; Hierarchical cluster analysis
摘要:"The accurate identification and sensitive quantification of heavy metal ions are of great significance, considering that pose a serious threat to environment and human health. Most array-based sensing platforms, to date, utilize nanozymes as sensing elements, but few studies have explored the application of the peroxidase-like activity of clusterzymes in identification of multiple analytes. Herein, for the first time, we developed a clusterzyme sensor array utilizing gold nanoclusters (AuNCs) as sensing elements for five heavy metal ions identification including Hg2+, Pb2+, Cu2+, Cd2+ and Co2+. The heavy metal ions can differentially regulate the peroxidase-like activity of AuNCs, and that can be converted into colorimetric signals with 3,3 ',5,5 '-tetramethylbenzidine (TMB) as the chromogenic substrate. Subsequently, the generated composite responses can be interpreted by combining pattern recognition algorithms. The developed clusterzyme sensor array can identify five heavy metal ions at concentrations as low as 0.5 mu M and their multi-component mixtures. Especially, we demonstrated the successful identification of multiple heavy metal ions in tap water and traditional Chinese medicine, with an accuracy of 100% in blind test. This study provided a simple and effective method for identification and quantification of heavy metal ions, rendering a promising technique for environmental monitoring and drug safety assurance."
基金机构:"National Natural Science Foundation of China [82072378, 81601856]; Chongqing Talents: Exceptional Young Talents Project, China [CQYC202005015, cstc2021ycjh-bgzxm0328]; Ba Yu Scholar Program, China [YS2019020]; Natural Science Foundation of Chongqing, China [CSTB2022NSCQ-BHX0006]; Special Funding for Postdoctoral Research Project of Chongqing, China [2021XM2045]; Discipline Talent Training Program of College of Pharmacy in Chongqing Medical University, China [YXY2021BSH04]"
基金资助正文:"This work is supported by National Natural Science Foundation of China (82072378, 81601856), Chongqing Talents: Exceptional Young Talents Project, China (CQYC202005015, cstc2021ycjh-bgzxm0328), Ba Yu Scholar Program, China (YS2019020), Natural Science Foundation of Chongqing, China (CSTB2022NSCQ-BHX0006), Special Funding for Postdoctoral Research Project of Chongqing, China (2021XM2045), Discipline Talent Training Program of College of Pharmacy in Chongqing Medical University, China (YXY2021BSH04)."