University Chemistry ›› 2023, Vol. 38 ›› Issue (8): 177-185.doi: 10.3866/PKU.DXHX202208135

• Chemistry Laboratory • Previous Articles     Next Articles

Smart Phone Coupled with Machine Learning for Identifying Multiple Antibiotics in Food

Songquan Deng, Qi Gong, Yanqiu Tang, Nan Wang, Fang Cheng, Lihua Zhu, Jingyu Wang, Hong Wang()   

  • Received:2022-08-31 Accepted:2022-10-11 Published:2022-11-25
  • Contact: Hong Wang E-mail:hongwzy@hust.edu.cn

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Abstract:

In this study, a method for identifying residual antibiotics in food was developed based on chromium black T and europium ion as colorimetric and fluorescent probes (EBT/Eu3+) coupled with pattern recognition in machine learning. The changes in color and fluorescence of four antibiotics with the addition of EBT/Eu3+ were obtained using smart phone and fluorescence measurements. Assisted by pattern recognition, the four antibiotics in honey were successfully identified. This experiment is highly comprehensive; it integrates multiple knowledge points, such as two-channel probe preparation, color recognition based on smart phone, fluorescence measurements, machine learning, and identification of various antibiotics.

Key words: Chromium black T, Europium ion, Colorimetric and fluorescent probe, Pattern recognition, Antibiotics