Citation: ZHANG Yujia, LING Yun, ZHANG Yuan, ZHANG Feng. Research progress on pretreatment and detection of bisphenols in food and environmental samples[J]. Chinese Journal of Chromatography, ;2019, 37(12): 1268-1274. doi: 10.3724/SP.J.1123.2019.08002 shu

Research progress on pretreatment and detection of bisphenols in food and environmental samples

1.
Institute of Food Safety, Chinese Academy of Inspection and Quarantine, Beijing 100176, China;
2.
National Cancer Center/National Clinical Research Center for Cancer/Department of Pharmacy, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China

Received Date: 13 August 2019

Fund Project: National Key Research and Development Plan (No. 2017YFC1601305).

Bisphenols, which are environmental endocrine disruptors, are widely found in food packaging materials and the environment, polluting the ecological environment and inducing harm to human health. Bisphenol residues constitute an important food safety problem at present. Hence, detecting the bisphenol content in food and environmental samples is of great significance for protecting human health. Because of the low concentration and matrix interference, a combination of sample pretreatment and instrumental analysis is imperative for improving the detection efficiency and enhancing the analytical sensitivity and reliability. Common pretreatment and analysis methods mainly include liquid-liquid extraction, microwave-assisted extraction, solid-phase extraction, solid-phase microextraction, matrix-dispersive solid-phase extraction, and QuEChERS. Common instrumental analysis methods include liquid chromatography, gas chromatography, capillary electrophoresis, immunoassays, and biosensors. In this paper, various methods for sample pretreatment and instrumental analysis of bisphenols in food and environmental samples are reviewed, with the aim of providing a reference for the residue monitoring of bisphenols.
- pretreatment,
- detection,
- bisphenols,
- food,
- environmental samples,
- review
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1.
沈阳化工大学材料科学与工程学院沈阳 110142