Machine learning-assisted synchronous fluorescence sensing approach for rapid and simultaneous quantification of thiabendazole and fuberidazole in red wine

HIGHLIGHTS

• who: Jia-Rong He and collaborators from the College of Chemistry and Chemical Engineering, Xiamen University, Siming South Road, Siming District, Xiamen, China have published the article: Machine Learning-Assisted Synchronous Fluorescence Sensing Approach for Rapid and Simultaneous Quantification of Thiabendazole and Fuberidazole in Red Wine, in the Journal: Sensors 2022, 9979 of /2022/
• what: This work provides a new way for the combination of machine learning and fluorescence techniques to solve the complexity in multi-component analysis in practical applications. The authors investigated the effect of the second-order derivative constant-energy simultaneous fluorescence . . .
  

   

  

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