Prediction of food additives based on grey prediction model and electrochemical analysis of gallic acid

Chenggong Gui

doi:10.54097/hset.v33i.5328

Authors

Chenggong Gui

DOI:

https://doi.org/10.54097/hset.v33i.5328

Keywords:

Electrochemistry, Food additives, Gallic acid, grey prediction model.

Abstract

In this paper, a grey prediction model was used to predict the future consumption of food additives, and then an electrochemical analysis method was combined to focus on the detection of food additives as an example of gallic acid, and to optimize the conditions that may affect the detection results. A series of standard curves describing the concentration of gallic acid (0.0005 μM - 200 μM) were obtained under optimal detection conditions. This study constructs a sensitive, short time-consuming and easy-to-operate assay system for the detection of gallic acid in food additives by electrochemical analysis, and provides a potential method for the quantitative determination of gallic acid in food additives in the future.

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