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3D metal-organic framework as highly efficient biosensing platform for ultrasensitive and rapid detection of bisphenol A

文献类型： 外文期刊

作者： Wang, Xue 1 ; Lu, Xianbo 1 ; Wu, Lidong 3 ; Chen, Jiping 1 ;

作者机构： 1.Chinese Acad Sci, Dalian Inst Chem Phys, Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China

2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China

3.Chinese Acad Fishery Sci, Beijing 100141, Peoples R China

关键词： Metal-organic frameworks (MOFs);Bisphenol A;Porous nanomaterials;Tyrosinase;Electrochemical biosensor

期刊名称：BIOSENSORS & BIOELECTRONICS （ 影响因子：10.618； 五年影响因子：9.323 ）

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收录情况： SCI

摘要： As is well known, bisphenol A (BPA), usually exists in daily plastic products, is one of the most important endocrine disrupting chemicals. In this work, copper-centered metal-organic framework (Cu-MOF) was synthesized, which was characterized by SEM, TEM, XRD, FTIR and electrochemical method. The resultant Cu-MOF was explored as a robust electrochemical biosensing platform by choosing tyrosinase (Tyr) as a model enzyme for ultrasensitive and rapid detection of BPA. The Cu-MOF provided a 3D structure with a large specific surface area, which was beneficial for enzyme and BPA absorption, and thus improved the sensitivity of the biosensor. Furthermore, Cu-MOF as a novel sorbent could increase the available BPA concentration to react with tyrosinase through pi-pi. stacking interactions between BPA and Cu-MOF. The Tyr biosensor exhibited a high sensitivity of 0.2242 A M-1 for BPA, a wide linear range from 5.0 x 10(-8) to 3.0 x 10-6 mol L-1, and a low detection limit of 13 nmol L-1. The response time for detection of BPA is less than 11 s. The proposed method was successfully applied to rapid and selective detection of BPA in plastic products with satisfactory results. The recoveries are in the range of 94.0-101.6% for practical applications. With those remarkable advantages, MOFs-based 3D structures show great prospect as robust biosensing platform for ultrasensitive and rapid detection of BPA. Crown Copyright (C) 2014 Published by Elsevier B.V. All rights reserved.

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