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Species identification and strain discrimination of fermentation yeasts Saccharomyces cerevisiae and Saccharomyces uvarum using Raman spectroscopy and convolutional neural networks.
Wang, Kaidi; Chen, Jing; Martiniuk, Jay; Ma, Xiangyun; Li, Qifeng; Measday, Vivien; Lu, Xiaonan.
Affiliation
  • Wang K; Food, Nutrition and Health Program, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, Canada.
  • Chen J; Department of Food Science and Agricultural Chemistry, Faculty of Agricultural and Environmental Sciences, McGill University, Sainte-Anne-de-Bellevue, Quebec, Canada.
  • Martiniuk J; Food, Nutrition and Health Program, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, Canada.
  • Ma X; Wine Research Centre, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, Canada.
  • Li Q; School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, China.
  • Measday V; School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin, China.
  • Lu X; Wine Research Centre, Faculty of Land and Food Systems, The University of British Columbia, Vancouver, British Columbia, Canada.
Appl Environ Microbiol ; 89(12): e0167323, 2023 12 21.
Article de En | MEDLINE | ID: mdl-38038459
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Saccharomyces cerevisiae / Vin Langue: En Journal: Appl Environ Microbiol Année: 2023 Type de document: Article Pays d'affiliation: Canada Pays de publication: États-Unis d'Amérique
Texte intégral
Ajouter à My VHL
Imprimer
XML
PubMed Links
Recherche sur Google

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Saccharomyces cerevisiae / Vin Langue: En Journal: Appl Environ Microbiol Année: 2023 Type de document: Article Pays d'affiliation: Canada Pays de publication: États-Unis d'Amérique