Título:
Predicting mandarin fruit acceptability: from high-field to Benchtop NMR spectroscopy
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Autor:
Migues, Ignacio
Rivas, Fernando
Moyna, Guillermo
Kelly, Simon D.
Heinzen, Horacio
Rivas, Fernando
Moyna, Guillermo
Kelly, Simon D.
Heinzen, Horacio
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Artículo
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Descriptores:
ESPECTROSCOPIA
FRUTAS
MANDARINA
ESPECTROSCOPIA DE RESONANCIA MAGNETICA NUCLEAR
FRUTAS
MANDARINA
ESPECTROSCOPIA DE RESONANCIA MAGNETICA NUCLEAR
Año de publicación:
2022
Contenido:
Resumen:
Recent advances in nuclear magnetic resonance (NMR) have led to the development of low-field benchtop NMR systems with improved sensitivity and resolution suitable for use in research and quality-control laboratories. Compared to their high-resolution counterparts, their lower purchase and running costs make them a good alternative for routine use. In this article, we show the adaptation of a method for predicting the consumer acceptability of mandarins, originally reported using a high-field 400 MHz NMR spectrometer, to benchtop 60 MHz NMR systems. Our findings reveal that both instruments yield comparable results regarding sugar and citric acid levels, leading to the development of virtually identical predictive linear models. However, the lower cost of benchtop NMR systems would allow cultivators to implement this chemometric-based method as an additional tool for the selection of new cultivars.
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MDPI
EN:
Foods v.11, n° 16, 2022. -- pp. 1-8
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Citación:
Migues, I, Rivas, F, Moyna, G, y otros. "Predicting mandarin fruit acceptability: from high-field to Benchtop NMR spectroscopy". Foods. [en línea] 2022, vol. 11, n° 16, pp. 1-8. DOI: https://doi.org/10.3390/foods11150000
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Licencia Creative Commons Atribución (CC - By 4.0)
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| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| AA Migues, Ignacio et al. Foods, v. 11 (16), 2022. --.pdf | — | 990.41 KB | Adobe PDF |