个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:化学学院副院长
其他任职:辽宁省教学名师,宝钢优秀教师特等奖提名奖,中国分析测试学会青年学术委员会委员
性别:女
毕业院校:南京大学
学位:博士
所在单位:化学学院
学科:分析化学. 生物化学与分子生物学
办公地点:化工综合楼C305
电子邮箱:wushuo@dlut.edu.cn
Using silver nanocluster/graphene nanocomposite to enhance photoelectrochemical activity of CdS:Mn/TiO2 for highly sensitive signal-on immunoassay
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论文类型:期刊论文
发表时间:2016-06-15
发表刊物:BIOSENSORS & BIOELECTRONICS
收录刊物:SCIE、EI、PubMed
卷号:80
页面范围:614-620
ISSN号:0956-5663
关键字:Silver nanocluster and graphene nanocomposite; Photoelectrochemical immunoassay; Signal-on; Enhanced photo-to-current conversion efficiency; CdS:Mn/TiO2
摘要:A highly sensitive signal-on photoelectrochemical (PEC) immunosensor was fabricated here using CdS:Mn/TiO2 as photoelectrochemical sensing platform, and silver nanoclusters and graphene naocomposites (AgNCs-GR) as signal amplification tags. The immunosensor was constructed based on the specific sandwich immunoreaction, and the photo-to-current conversion efficiency of the isolated protein modified CdS:Mn/TiO2 matrix was improved based on the synergistic effect of AgNCs-GR. Under irradiation, the photogenerated electrons from the AgNCs at a higher conduction band edge level could be transport to the CdS:Mn/TiO2 matrix with the assistance of highly conductive graphene nanosheets, as well as recycle the trapped excitons in the defects-rich CdS:Mn/TiO2 interface. The electron transport and exciton recycle reduced the possibility of electron-hole recombination and greatly improved the photo-to-current conversion efficiency of the sensing matrix. Based on the signal enhancement, a signal-on PEC immunosensors was fabricated for the detection of carcinoembryonic antigen (CEA), a model analyte related to many malignant diseases. Under optimal conditions, the as-prepared immunosensor showed excellent analytical performance, with a wide linear range from 1.0 pg/mL to 100 ng/mL and a low limit of detection of 1.0 pg/mL. The signal-on mode provided 2.48 times higher sensitivity compared with signal-off mode. This strategy demonstrated good accuracy and high selectivity for practical sample analysis, thus may have great application prospective in the prediction and early diagnosis of diseases. (C) 2016 Elsevier B.V. All rights reserved.