|
|
Registro completo
|
Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
18/02/2021 |
Actualizado : |
18/02/2021 |
Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
Autor : |
ALANIZ, S.; GEPP, V.; MONDINO, P.; LEONI, C.; MUJICA, V.; NUÑEZ, S.; SCATONI, I. |
Afiliación : |
SANDRA ALANIZ, Universidad de la República (UdelaR)/ Facultad de Agronomía; VIVIENNE GEPP, Universidad de la República (UdelaR)/ Facultad de Agronomía; PEDRO MONDINO, Universidad de la República (UdelaR)/ Facultad de Agronomía; CAROLINA LEONI VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA VALENTINA MUJICA TELIZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SATURNINO NUÑEZ BUA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; IRIS BEATRIZ SCATONI, Universidad de la República (UdelaR)/ Facultad de Agronomía. |
Título : |
Monitoreo de insectos plaga: orden thysanoptera. |
Fecha de publicación : |
2016 |
Fuente / Imprenta : |
In: Alaniz, S.; Gepp, V.; Mondino, P.; Leoni, C.; Mujica, V.; Núñez, S.; Scatoni, I. Guía de identificación y monitoreo de enfermedades y plagas en frutales de hoja caduca y vid bajo manejo integrado. Montevideo (UY): AFRUPI, 2016. |
Páginas : |
p.123-125. |
ISBN : |
978-9974-8604-0-7 |
Idioma : |
Español |
Contenido : |
INSECTOS PLAGA - THYSANOPTERA: Trips |
Thesagro : |
INSECTOS PLAGA; THYSANOPTERA; TRIPS. |
Asunto categoría : |
H10 Plagas de las plantas |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/15020/1/ManualAfrupiFrutales2016-Insectos-plaga-Trips.pdf
|
Marc : |
LEADER 00845nam a2200241 a 4500 001 1061733 005 2021-02-18 008 2016 bl uuuu u0uu1 u #d 020 $a978-9974-8604-0-7 100 1 $aALANIZ, S. 245 $aMonitoreo de insectos plaga$borden thysanoptera.$h[electronic resource] 260 $aIn: Alaniz, S.; Gepp, V.; Mondino, P.; Leoni, C.; Mujica, V.; Núñez, S.; Scatoni, I. Guía de identificación y monitoreo de enfermedades y plagas en frutales de hoja caduca y vid bajo manejo integrado. Montevideo (UY): AFRUPI$c2016 300 $ap.123-125. 520 $aINSECTOS PLAGA - THYSANOPTERA: Trips 650 $aINSECTOS PLAGA 650 $aTHYSANOPTERA 650 $aTRIPS 700 1 $aGEPP, V. 700 1 $aMONDINO, P. 700 1 $aLEONI, C. 700 1 $aMUJICA, V. 700 1 $aNUÑEZ, S. 700 1 $aSCATONI, I.
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Las Brujas (LB) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
Registro completo
|
Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
27/09/2022 |
Actualizado : |
27/09/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
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. |
Fecha 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 claves : |
Acceptability; Benchtop NMR; Mandarins; NMR. |
Asunto categoría : |
F01 Cultivo |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16770/1/foods-11-02384-v2.pdf
|
Marc : |
LEADER 02487naa a2200253 a 4500 001 1063579 005 2022-09-27 008 2022 bl uuuu u00u1 u #d 022 $a2304-8158 024 7 $a10.3390/foods11162384$2DOI 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
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Las Brujas (LB) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
Expresión de búsqueda válido. Check! |
|
|