Multivariate nanocomposites for electrochemical sensing in the application of food

文献类型: 外文期刊

第一作者: Lu, Lin

作者: Lu, Lin;Zhu, Zhiwei;Hu, Xianqiao

作者机构:

关键词: Nanocomposite; Sensing; Synergistic effect; Subtypes of class; Food

期刊名称:TRAC-TRENDS IN ANALYTICAL CHEMISTRY ( 影响因子:12.296; 五年影响因子:11.446 )

ISSN: 0165-9936

年卷期: 2019 年 118 卷

页码:

收录情况: SCI

摘要: Nanocomposite, which is superior to single nanomaterial, has become an excellent modification material for electrochemical sensing. The nanocomposites are divided into three classes namely binary nanocomposite, ternary nanocomposite and multiple nanocomposite. In this review, the constitute and principle of nanocomposites are summarized, and various subtypes of three classes are proposed. The multiple synergistic effects, properties and interactions of nanocomposites are highlighted for the improved performance in the application of food analysis. The future perspectives for multivariate nanocomposites used on food sensors are discussed. (C) 2019 Elsevier B.V. All rights reserved.

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