Chemical Journal of Chinese Universities ›› 2020, Vol. 41 ›› Issue (4): 591-603.doi: 10.7503/cjcu20190651

• Review • Previous Articles     Next Articles

Research Progress of Photoelectrochemical Technology Applied in Antioxidant Analysis

HAN Fangjie1,2,DAI Mengjiao1,2,LIANG Zhishan3,SONG Zhongqian1,HAN Dongxue1,2,3,*(),NIU Li1,2,3   

  1. 1. State Key Laboratory of Electroanalytical Chemistry, Engineering Laboratory for Modern Analytical Techniques, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China
    2. University of Science and Technology of China, Hefei 230026, China
    3. Center for Advanced Analytical Science, c/o School of Chemistry and Chemical Engineering, Guangzhou University, Guangzhou 510006, China
  • Received:2019-12-11 Online:2020-04-10 Published:2020-02-07
  • Contact: Dongxue HAN E-mail:dxhan@gzhu.edu.cn
  • Supported by:
    † Supported by the National Natural Science Foundation of China(21622509)

Abstract:

In the process of metabolism, the body will produce a large number of oxidation active substances with free radicals as the main formation, and antioxidants can capture and neutralize free radicals in the form of electron transfer, so as to protect the cell from damage, prevent and retard the oxidative deterioration of food. Therefore, it is of great significance for the determination and evaluation of antioxidants capacitance in foods. As a low-cost, simple, quick and sensitive method, photoelectrochemical(PEC) technology can overcome the shortcomings of conventional methods, such as optical method, chromatographic method and electrochemical method. The design of photocatalysis materials is the key of the PEC platform. The review concludes with the progress of the photoelectrochemical platform based on semiconductor materials applied in the analysis of antioxidant capacity in food and the characteristics of various detection systems. In addition, the future research directions are also proposed.

Key words: Antioxidant, Photoelectrochemistry, Sensor, Food analysis

CLC Number: