Routine NIRS analysis methodology to predict quality and safety indexes in spinach plants during their growing season in the field.

Torres, Irina; Sánchez, María-Teresa; Vega-Castellote, Miguel; Luqui-Muñoz, Natividad; Pérez-Marín, Dolores

Torres, Irina; Sánchez, María-Teresa; Vega-Castellote, Miguel; Luqui-Muñoz, Natividad; Pérez-Marín, Dolores.

Affiliation

Torres I; Department of Bromatology and Food Technology, University of Cordoba, Rabanales Campus, 14071 Córdoba, Spain.
Sánchez MT; Department of Bromatology and Food Technology, University of Cordoba, Rabanales Campus, 14071 Córdoba, Spain. Electronic address: teresa.sanchez@uco.es.
Vega-Castellote M; Department of Bromatology and Food Technology, University of Cordoba, Rabanales Campus, 14071 Córdoba, Spain.
Luqui-Muñoz N; Agronomic Department, Gelagri Ibérica, SL, 31320 Milagro, Navarra, Spain.
Pérez-Marín D; Department of Animal Production, University of Cordoba, Rabanales Campus, 14071 Córdoba, Spain. Electronic address: dcperez@uco.es.

Spectrochim Acta A Mol Biomol Spectrosc ; 246: 118972, 2021 Feb 05.

Article de En | MEDLINE | ID: mdl-33017790

Sujet(s)
Mots clés

Monitoring vegetable quality and safety; NIRS for in-field analysis; Routine methodology; Spinach plants

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Spinacia oleracea / Spectroscopie proche infrarouge Type d'étude: Prognostic_studies / Risk_factors_studies Langue: En Journal: Spectrochim Acta A Mol Biomol Spectrosc Sujet du journal: BIOLOGIA MOLECULAR Année: 2021 Type de document: Article Pays d'affiliation: Espagne Pays de publication: Royaume-Uni

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