AI Article Synopsis

  • Carmine is a synthetic dye often used illegally to adulterate black tea for profit.
  • The study combined spectrophotometry and machine learning to create a method that accurately detects carmine, achieving a 100% success rate in identifying its presence or absence.
  • The method also showed strong correlation with traditional testing (HPLC), making it a fast and reliable tool for identifying adulteration in black tea.

Article Abstract

Carmine is an artificial colorant commonly used by fraudulent food business participants in black tea adulteration, for purpose of gaining illegal profits. This study combined spectrophotometry with machine learning for rapid detection of carmine in black tea based on the spectral characteristics of tea infusion. The qualitative model demonstrated an accuracy rate of 100% for successful identification of the presence/absence of carmine in black tea. For quantitative analysis, the R between carmine concentrations generated according to spectral characteristics and those determined with HPLC was 0.988 and 0.972, respectively, for black tea samples involved in the test subset and an independent dataset II. Paired t-test indicated that the difference was statistically insignificant (P values of 0.26 and 0.44, respectively). The method established in this study was rapid and reliable for detecting carmine in black tea, and thus could be used as a useful tool to identify black tea adulteration in market.

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http://dx.doi.org/10.1016/j.foodchem.2020.127177DOI Listing

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