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| Registros recuperados : 8 | |
| 1. |  | MIGUES, I.; HODOS, N.; MOLTINI, A.; GÁMBARO, A.; RIVAS, F.; MOYNA, G. 1H NMR metabolic profiles as selection tools of new mandarin cultivars based on fruit acceptability. Scientia Horticulturae, 2021, Volume 287, Article number 110262. Doi: https://doi.org/10.1016/j.scienta.2021.110262 Article history: Received 26 June 2020; Received in revised form 11 March 2021; Accepted 3 May 2021; Available online 21 May 2021.
The authors wish to thank Andrés López for his help with the NMR measurements and useful discussions,...| Biblioteca(s): INIA Las Brujas. |
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| 2. | | RODRÍGUEZ CERAOLO, C.; VÁZQUEZ, V.; MIGUES, I.; CESIO, M. V.; RIVAS, F. Flavonoids and limonoids profiles variation in leaves from mandarin cultivars and its relationship with alternate bearing. Agronomy, January 2022, volume 12, Issue 1, Article Number 121, pages 1-14. OPEN ACCESS. doi: https://doi.org/10.3390/agronomy12010121 Article history: Received: 31 October 2021 / Revised: 22 November 2021 / Accepted: 2 December 2021 / Published: 4 January 2022| Biblioteca(s): INIA Treinta y Tres. |
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| 3. | | GÁMBARO, A.; ROASCIO, A.; HODOS, N.; MIGUES, I.; LADO, J.; HEINZEN, H.; RIVAS, F. The impact of sensory attributes of mandarins on consumer perception and preferences. Journal of Agriculture and Food Research, December 2021, volume 6, article 100196. OPEN ACCESS. doi: https://doi.org/10.1016/j.jafr.2021.100196 Article history: Received 20 November 2020, Revised 28 June 2021, Accepted 14 August 2021, Available online 19 August 2021, Version of Record 2 September 2021.
Corresponding author: Gámbaro, A.; General Flores, Uruguay;...| Biblioteca(s): INIA Las Brujas. |
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| 4. | | MIGUES, I.; CESIO, V.; GÁMBARO, A.; MOYNA, G.; RODRÍGUEZ, C.; LADO, J.; RIVAS, F.; HEINZEN, H. NMR metabolomics as a prediction tool for consumers acceptance of mandarins. (SI-O-7) [oral presentation]. Session I: Breeding, Genomics and Genetics. In: RIivas, F. (Ed.). IV International Symposium on Citrus Biotechnology. Book of Abstracts. Montevideo (UY): INIA. p. 17. (INIA Serie Técnica; 244).| Biblioteca(s): INIA Las Brujas. |
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| 6. | | 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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| 7. | | REZENDE, S.; BANCHERO, S.; MIGUES, I.; CESIO, M.V.; RIVAS, F.; HEINZEN, H.; BESIL, M.N. Variability levels of selected amino acids among mandarins produced in Uruguay. Ecletica Quimica, 2021, Volume 46, Issue 4, Pages 47-59. Gold Open Access. doi: https://doi.org/10.26850/1678-4618eqj.v46.4.2021.p47-59 Article history: Received: July 27, 2020; Accepted: July 16, 2021; Published: October 01, 2021.
Section Editor: Assis Vicente Benedetti.
Corresponding author: María Natalia Besil. Email address: nbesil@fq.edu.uy| Biblioteca(s): INIA Las Brujas. |
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| 8. | | HEINZEN, H.; LAPROVITERA, M.; ARIAS, X.; MIGUES, I.; PÉREZ, A.; MASNER, M.; DENICOLA, A.; PACHECO, P.; MEDEIROS, A. Metabolitos secundarios con relevancia nutricional en frutas y hortalizas frescas. Montevideo (UY): INIA, 2015. 17 p. (FPTA-INIA; 58) Proyecto FPTA-277: Evaluación de la presencia de metabolitos secundarios con relevancia nutricional en frutas y hortalizas frescas consumidas por la población uruguaya. Responsable del Proyecto: Horacio Heinzen* (Facultad de Química,...| Biblioteca(s): INIA Las Brujas. |
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| Registros recuperados : 8 | |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
27/09/2022 |
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Actualizado : |
27/09/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
MIGUES, I.; RIVAS, F.; MOYNA, G.; KELLY, S. D.; HEINZEN, H. |
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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. |
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Título : |
Predicting mandarin fruit acceptability: from high-field to benchtop NMR spectroscopy. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Foods, 2022, volume 11, issue 16, article 2384. OPEN ACCESS. doi: https://doi.org/10.3390/foods11162384 |
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ISSN : |
2304-8158 |
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DOI : |
10.3390/foods11162384 |
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Idioma : |
Inglés |
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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/). |
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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. |
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Palabras claves : |
Acceptability; Benchtop NMR; Mandarins; NMR. |
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Asunto categoría : |
F01 Cultivo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16770/1/foods-11-02384-v2.pdf
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Marc : |
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100 1 $aMIGUES, I.
245 $aPredicting mandarin fruit acceptability$bfrom high-field to benchtop NMR spectroscopy.$h[electronic resource]
260 $c2022
500 $aArticle 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/).
520 $aABSTRACT.- 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.
653 $aAcceptability
653 $aBenchtop NMR
653 $aMandarins
653 $aNMR
700 1 $aRIVAS, F.
700 1 $aMOYNA, G.
700 1 $aKELLY, S. D.
700 1 $aHEINZEN, H.
773 $tFoods, 2022, volume 11, issue 16, article 2384. OPEN ACCESS. doi: https://doi.org/10.3390/foods11162384
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