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Rapid quantification of royal jelly quality by mid-infrared spectroscopy coupled with backpropagation neural network.
Chen, Di; Guo, Cheng; Lu, Wenjing; Zhang, Cen; Xiao, Chaogeng.
Affiliation
  • Chen D; State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Food Sciences, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
  • Guo C; College of Life Sciences, China Jiliang University, Hangzhou 310018, China.
  • Lu W; State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Food Sciences, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
  • Zhang C; State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Food Sciences, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China.
  • Xiao C; State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Food Sciences, Zhejiang Academy of Agricultural Sciences, Hangzhou 310021, China. Electronic address: xiaochaogeng@163.com.
Food Chem ; 418: 135996, 2023 Aug 30.
Article in En | MEDLINE | ID: mdl-37001352
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Spectroscopy, Near-Infrared Type of study: Prognostic_studies / Qualitative_research Language: En Journal: Food Chem Year: 2023 Document type: Article Affiliation country: China Country of publication: Reino Unido
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Neural Networks, Computer / Spectroscopy, Near-Infrared Type of study: Prognostic_studies / Qualitative_research Language: En Journal: Food Chem Year: 2023 Document type: Article Affiliation country: China Country of publication: Reino Unido