Development of acetylcholinesterase biosensor based on CdTe quantum dots/gold nanoparticles modified chitosan microspheres interface

Development of acetylcholinesterase biosensor based on CdTe quantum dots/gold nanoparticles modified chitosan microspheres interface
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基于CdTe量子点/金纳米粒子修饰壳聚糖微球界面的乙酰胆碱酯酶生物传感器的研制

DOI:
10.1016/j.bios.2008.05.005
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发表时间:
2008-11-15
影响因子:
12.6
通讯作者:
Chen, Xi
Chen, Xi
中科院分区:
工程技术1区
文献类型:
--
作者:
Du, Dan;Chen, Shizhen;Chen, Xi

文献摘要

被引文献

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本文将CdTe量子点(QDs)和导电纳米金(GNP)通过壳聚糖微球修饰到玻碳电极上,构建了一种新型的乙酰胆碱酯酶(ACNE)生物传感器。由于GNP具有良好的电子传递能力,特别是在构建电化学生物传感器方面具有广泛的用途,因此,结合的ACNE对其底物具有很高的亲和力,从而成为一种灵敏、快速、廉价的测定久效磷的方法。CdTe量子点和纳米颗粒的结合促进了电子转移,催化了硫代胆碱的电氧化,从而提高了检测灵敏度。这种基于CdTe QDs-GNP复合物的新型生物传感平台的响应甚至比单独的CdTe QDs或GNP更灵敏,因为CdTe-GNP膜中存在协同效应。久效磷的抑制作用在1 ~ 1000 ng/mL和2 ~ 15 μ g/mL两个浓度范围内与其浓度成正比。检测限为0.3 ng/mL。该生物传感器在大蒜样品分析中显示出良好的精密度和重现性,以及可接受的稳定性和准确性。(C)2008 Elsevier B. V.保留所有权利。
In this paper, a novel acetylcholinesterase (ACNE) biosensor was constructed by modifying glassy carbon electrode with CdTe quantum dots (QDs) and excellent conductive gold nanoparticles (GNPs) though chitosan microspheres to immobilize ACNE. Since GNPs have shown widespread use particularly for constructing electrochemical biosensors through their high electron-transfer ability, the combined ACNE exhibited high affinity to its substrate and thus a sensitive, fast and cheap method for determination of monocrotophos. The combination of CdTe QDs and GNPs promoted electron transfer and catalyzed the electro-oxidation of thiocholine, thus amplifying the detection sensitivity. This novel biosensing platform based on CdTe QDs-GNPs composite responded even more sensitively than that on CdTe QDs or GNPs alone because of the presence of synergistic effects in CdTe-GNPs film. The inhibition of monocrotophos was proportional to its concentration in two ranges, from 1 to 1000 ng mL(-1) and from 2 to 15 mu g mL(-1). with a detection limit of 0.3 ng mL(-1). The proposed biosensor showed good precision and reproducibility, acceptable stability and accuracy in garlic samples analysis. (C) 2008 Elsevier B.V. All rights reserved.