Application of fluorescence spectrometry combined with second-order correction algorithm in food pigment detection Online publication date: Tue, 06-Jun-2023
by Qing Yang; Yinghui Gu; Jinshuai Lu
International Journal of Wireless and Mobile Computing (IJWMC), Vol. 24, No. 3/4, 2023
Abstract: Food pigment is a common food additive, but the abuse of pigment will produce serious food safety problems, which is not conducive to people's health and safety. With the development of modern science and technology, there are more and more kinds of synthetic pigments. The traditional pigment detection methods have the disadvantages of high cost, low efficiency and low accuracy. In this study, fluorescence spectrometry is proposed to detect food pigments, which can effectively classify and detect food pigments. By introducing the second-order correction algorithm to build the classification model of food pigments, we can quickly and non-destructively detect the pigments in food without any separation. Through the simulation analysis of three different drinks, it can be seen that the proposed method can quickly identify the types of pigments and judge the safety and compliance of pigment use.
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