Rapid discrimination and ratio quantification of mixed antibiotics in aqueous solution through integrative analysis of SERS spectra via CNN combined with NN-EN model.

Journal: Journal of advanced research
PMID: 38531495

Abstract

INTRODUCTION: Abusing antibiotic residues in the natural environment has become a severe public health and ecological environmental problem. The side effects of its biochemical and physiological consequences are severe. To avoid antibiotic contamination in water, implementing universal and rapid antibiotic residue detection technology is critical to maintaining antibiotic safety in aquatic environments. Surface-enhanced Raman spectroscopy (SERS) provides a powerful tool for identifying small molecular components with high sensitivity and selectivity. However, it remains a challenge to identify pure antibiotics from SERS spectra due to coexisting components in the mixture.

Authors

  • Quan Yuan
    School of Vehicle and Mobility, Tsinghua University, Beijing 100084, China.
  • Lin-Fei Yao
    School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu Province 210000, China.
  • Jia-Wei Tang
    Department of Intelligent Medical Engineering, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu Province, China.
  • Zhang-Wen Ma
    Department of Pharmaceutical Analysis, School of Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu Province 210000, China.
  • Jing-Yi Mou
    Department of Clinical Medicine, School of 1st Clinical Medicine, Xuzhou Medical University, Xuzhou, Jiangsu Province 210000, China.
  • Xin-Ru Wen
    Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province 510080, China; School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu Province 210000, China.
  • Muhammad Usman
    Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Islamabad, Pakistan.
  • Xiang Wu
  • Liang Wang
    Information Department, Dazhou Central Hospital, Dazhou 635000, China.

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