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| Registros recuperados : 1 | |
| 1. |  | MIGUES, I.; RIVAS, F.; MOYNA, G.; KELLY, S. D.; HEINZEN, H. Predicting mandarin fruit acceptability: from high-field to benchtop NMR spectroscopy. Foods, 2022, volume 11, issue 16, article 2384. OPEN ACCESS. doi: https://doi.org/10.3390/foods11162384 Article history: Received 24 June 2022; Revised 29 July 2022; Accepted 1 August 2022; Published 9 August 2022.
Corresponding author: Heinzen, H.; Laboratorio de Farmacognosia y Productos Naturales, Departamento de Química Orgánica,...| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 1 | |
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| Registros recuperados : 1 | |
| 1. | | MIGUES, I.; RIVAS, F.; MOYNA, G.; KELLY, S. D.; HEINZEN, H. Predicting mandarin fruit acceptability: from high-field to benchtop NMR spectroscopy. Foods, 2022, volume 11, issue 16, article 2384. OPEN ACCESS. doi: https://doi.org/10.3390/foods11162384 Article history: Received 24 June 2022; Revised 29 July 2022; Accepted 1 August 2022; Published 9 August 2022.
Corresponding author: Heinzen, H.; Laboratorio de Farmacognosia y Productos Naturales, Departamento de Química Orgánica,...| Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 1 | |
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