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FTIR spectroscopy coupled with machine learning approaches as a rapid tool for identification and quantification of artificial sweeteners.
Wang, Yu-Tang; Li, Bin; Xu, Xiao-Juan; Ren, Hai-Bin; Yin, Jia-Yi; Zhu, Hao; Zhang, Ying-Hua.
Afiliación
  • Wang YT; Key Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin 150030, PR China; Department of Food Science, Northeast Agricultural University, Harbin 150030, PR China.
  • Li B; Department of Food Science, Northeast Agricultural University, Harbin 150030, PR China.
  • Xu XJ; Department of Food Science, Northeast Agricultural University, Harbin 150030, PR China.
  • Ren HB; Department of Food Science, Northeast Agricultural University, Harbin 150030, PR China.
  • Yin JY; Department of Food Science, Northeast Agricultural University, Harbin 150030, PR China.
  • Zhu H; The Rutgers Center for Computational and Integrative Biology, Camden, NJ 08102, United States.
  • Zhang YH; Key Laboratory of Dairy Science, Ministry of Education, Northeast Agricultural University, Harbin 150030, PR China; Department of Food Science, Northeast Agricultural University, Harbin 150030, PR China. Electronic address: yinghuazhang@neau.edu.cn.
Food Chem ; 303: 125404, 2020 Jan 15.
Article en En | MEDLINE | ID: mdl-31466033
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Edulcorantes / Espectroscopía Infrarroja por Transformada de Fourier Tipo de estudio: Diagnostic_studies / Evaluation_studies / Prognostic_studies / Qualitative_research Idioma: En Revista: Food Chem Año: 2020 Tipo del documento: Article Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Edulcorantes / Espectroscopía Infrarroja por Transformada de Fourier Tipo de estudio: Diagnostic_studies / Evaluation_studies / Prognostic_studies / Qualitative_research Idioma: En Revista: Food Chem Año: 2020 Tipo del documento: Article Pais de publicación: Reino Unido