Your browser doesn't support javascript.
loading
Varietal and Geographical Origin Characterization of Peaches and Nectarines by Combining Analytical Techniques and Statistical Approach.
Tamasi, Gabriella; Bonechi, Claudia; Leone, Gemma; Andreassi, Marco; Consumi, Marco; Sangiorgio, Paola; Verardi, Alessandra; Rossi, Claudio; Magnani, Agnese.
Afiliación
  • Tamasi G; Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Via Aldo Moro, 2, 53100 Siena, Italy.
  • Bonechi C; Centre for Colloid and Surface Science (CSGI), University of Florence, Via della Lastruccia 3, Sesto Fiorentino, 50019 Firenze, Italy.
  • Leone G; Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Via Aldo Moro, 2, 53100 Siena, Italy.
  • Andreassi M; Centre for Colloid and Surface Science (CSGI), University of Florence, Via della Lastruccia 3, Sesto Fiorentino, 50019 Firenze, Italy.
  • Consumi M; Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Via Aldo Moro, 2, 53100 Siena, Italy.
  • Sangiorgio P; National Interuniversity Consortium of Materials Science and Technology (INSTM), Via G. Giusti 9, 50121 Firenze, Italy.
  • Verardi A; Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Via Aldo Moro, 2, 53100 Siena, Italy.
  • Rossi C; Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Via Aldo Moro, 2, 53100 Siena, Italy.
  • Magnani A; National Interuniversity Consortium of Materials Science and Technology (INSTM), Via G. Giusti 9, 50121 Firenze, Italy.
Molecules ; 26(14)2021 Jul 07.
Article en En | MEDLINE | ID: mdl-34299402

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Modelos Estadísticos / Prunus persica / Frutas / Cromatografía de Gases y Espectrometría de Masas / Antioxidantes Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Molecules Asunto de la revista: BIOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Modelos Estadísticos / Prunus persica / Frutas / Cromatografía de Gases y Espectrometría de Masas / Antioxidantes Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Molecules Asunto de la revista: BIOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Italia