{"title":"Colorimetric-Assisted Photoelectrochemical Sensing for Dual-Mode Detection of Neuron-Specific Enolase via the Photoanode-Photocathode System.","authors":"Hanyu Wang,Tong Zhang,Xin Chen,Junyi Gu,Xiang Ren,Zhongfeng Gao,Dawei Fan,Hongmin Ma,Dan Wu,Qin Wei","doi":"10.1021/acs.analchem.5c02247","DOIUrl":null,"url":null,"abstract":"Convenient and accurate detection of neuron-specific enolase (NSE) is crucial for small cell lung cancer. However, due to the shortcomings of a single detection mode such as insufficient reliability, a dual-mode signal response system based on photoelectrochemical (PEC) and colorimetric methods was developed in this paper for the ultrasensitive detection of NSE. In the PEC method, the ITO/Nb2O5/CdS composite was used as the photoanode and ITO/BiOI as the photocathode based on the energy level matching principle, which greatly enhanced the anti-interference ability of the photocurrent. In addition, MnO2 has oxidase-like property and can effectively oxidize 3, 3', 5, 5'-tetramethylbenzidine to produce a blue product, thus enabling colorimetric detection of NSE. The constructed PEC immunosensor demonstrated commendable performance within the linear range of 1.0 pg/mL-100 ng/mL, achieving the detection limit of NSE at 0.25 pg/mL. For the colorimetric analysis, effective detection was accomplished within the range of 0.5 ng/mL-30 ng/mL, with a detection limit of 0.13 ng/mL. The dual-mode analysis strategy that combines photoelectrochemistry and colorimetry realized highly sensitive and accurate detection of NSE.","PeriodicalId":27,"journal":{"name":"Analytical Chemistry","volume":"693 1","pages":""},"PeriodicalIF":6.7000,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://doi.org/10.1021/acs.analchem.5c02247","RegionNum":1,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
Convenient and accurate detection of neuron-specific enolase (NSE) is crucial for small cell lung cancer. However, due to the shortcomings of a single detection mode such as insufficient reliability, a dual-mode signal response system based on photoelectrochemical (PEC) and colorimetric methods was developed in this paper for the ultrasensitive detection of NSE. In the PEC method, the ITO/Nb2O5/CdS composite was used as the photoanode and ITO/BiOI as the photocathode based on the energy level matching principle, which greatly enhanced the anti-interference ability of the photocurrent. In addition, MnO2 has oxidase-like property and can effectively oxidize 3, 3', 5, 5'-tetramethylbenzidine to produce a blue product, thus enabling colorimetric detection of NSE. The constructed PEC immunosensor demonstrated commendable performance within the linear range of 1.0 pg/mL-100 ng/mL, achieving the detection limit of NSE at 0.25 pg/mL. For the colorimetric analysis, effective detection was accomplished within the range of 0.5 ng/mL-30 ng/mL, with a detection limit of 0.13 ng/mL. The dual-mode analysis strategy that combines photoelectrochemistry and colorimetry realized highly sensitive and accurate detection of NSE.
期刊介绍:
Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.