Fecha/hora: 03/06/2024 08:40:44

Biblioteca(s): 	INIA Las Brujas.	
Tipo de la producción científica: 	Artículos en Revistas Indexadas Internacionales	
Circulación/Nivel: 	Internacional - --	
Fecha corriente: 	27/09/2022	
Fecha de la última actualización: 	27/09/2022	
Autoria: 	MIGUES, I.; RIVAS, F.; MOYNA, G.; KELLY, S. D.; HEINZEN, H.	
Afiliación: 	IGNACIO MIGUES, Laboratorio de Farmacognosia y Productos Naturales, Departamento de Química Orgánica, Facultad de Química, Universidad de la República, Montevideo, Uruguay: Programa de Posgrados de la Facultad de Química, Universidad de la República, Montevideo, Uruguay.; CARLOS FERNANDO RIVAS GRELA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUILLERMO MOYNA, Laboratorio de Espectroscopía y Fisicoquímica Orgánica, Departamento de Química del Litoral, CENUR Litoral Norte, Universidad de la República, Paysandú, Uruguay.; SIMON D. KELLY, Food Safety Control Laboratory, Joint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Vienna, Austria.; HORACIO HEINZEN, Laboratorio de Farmacognosia y Productos Naturales, Departamento de Química Orgánica, Facultad de Química, Universidad de la República, Montevideo, Uruguay.	
Título: 	Predicting mandarin fruit acceptability: from high-field to benchtop NMR spectroscopy.	
Año de publicación: 	2022	
Fuente/Imprenta: 	Foods, 2022, volume 11, issue 16, article 2384. OPEN ACCESS. doi: https://doi.org/10.3390/foods11162384	
ISSN: 	2304-8158	
DOI: 	10.3390/foods11162384	
Idioma: 	Inglés	
Notas: 	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, Facultad de Química, Universidad de la República, Montevideo, Uruguay; email:heinzen@fq.edu.uy --  This article belongs to the Special Issue Fast Non-destructive Detection Technology and Equipment for Food Quality and Safety: https://www.mdpi.com/journal/foods/special_issues/Fast_Non_Destructive_Detection_Technology_Equipment_Food_Quality_Safety  --  
 Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).	
Contenido: 	ABSTRACT.- 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. 
© 2022 by the authors.	
Palabras-Clave: 	Acceptability; Benchtop NMR; Mandarins; NMR.	
Categoría del tema: 	F01 Cultivo	
URL: 	http://www.ainfo.inia.uy/digital/bitstream/item/16770/1/foods-11-02384-v2.pdf	
Registro original: 	INIA Las Brujas (LB)	
Ejemplares: 	LB - (103176-1) - PXI - AP - DD - FOODS/2022 -  -  - DIS