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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
17/05/2022 |
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Actualizado : |
17/05/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
PALLADINO, C.; MUELA, A.; TABORDA, B.; PUIGVERT, F.; PÉREZ-PARADA, A.; COLAZZO, M.; PÉREZ, C. A.; PEREYRA, S.; PAREJA, L. |
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Afiliación : |
CINTIA PALLADINO, PDU Abordaje Holístico Al Impacto de Los Agroquímicos, Cenur Litoral Norte, Universidad de la República, Ruta 3 km 363, Paysandu, 60000, Uruguay; AGUSTINA MUELA, Departamento de Química Del Litoral, Cenur Litoral Norte, Universidad de la República, Ruta 3 km 363, Paysandu, 60000, Uruguay; BELÉN TABORDA, Departamento de Química Del Litoral, Cenur Litoral Norte, Universidad de la República, Ruta 3 km 363, Paysandu, 60000, Uruguay; FLORENCIA PUIGVERT, Departamento de Química Del Litoral, Cenur Litoral Norte, Universidad de la República, Ruta 3 km 363, Paysandu, 60000, Uruguay; ANDRÉS PÉREZ-PARADA, Departamento de Desarrollo Tecnológico - DDT, Centro Universitario Regional Del Este, Universidad de la República, Ruta 9 y Ruta 15, 27000, Rocha, Uruguay; MARCOS COLAZZO, Licenciatura en Análisis Alimentario, Inst. Tecnologico Regional Suroeste, Universidad Tecnologica, Calle 17, Saladero Santa Maria, 60000, Paysandu, Uruguay; CARLOS A. PÉREZ, Departamento de Protección Vegetal, Facultad de Agronomía, Universidad de la República, EEMAC, Ruta 3 km 363, Paysandu, 60000, Uruguay; SILVIA ANTONIA PEREYRA CORREA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LUCÍA PAREJA, Departamento de Química Del Litoral, Cenur Litoral Norte, Universidad de la República, Ruta 3 km 363, Paysandu, 60000, Uruguay. |
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Título : |
Application of a straightforward Mmthodology by LC-QqQ-MS/MS and GC-MS to ensure food safety of barley and wheat grain. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
ACS Agricultural Science and Technology, 2022, Volume 2, Issue 2, Pages 371-380. doi: https://doi.org/10.1021/acsagscitech.1c00263 |
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ISSN : |
2692-1952 |
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DOI : |
10.1021/acsagscitech.1c00263 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 29 November 2021; Accepted 24 February 2022; Revised 4 February 2022; Published online 16 March 2022; Published in issue 18 April 2022.
Corresponding author: Pareja, L.; Departamento de Química Del Litoral, Cenur Litoral Norte, Universidad de la República, Ruta 3 km 363, Paysandu, Uruguay; email:lpareja@fq.edu.uy -- |
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Contenido : |
ABSTRACT. A multiclass methodology to determine deoxynivalenol, zearalenone, and 13 widely used fungicides to control the main diseases in barley and wheat crops was optimized and validated. Three QuEChERS methods were compared in terms of recovery and repeatability. The recoveries of the validated method were in the 67-128% range for the selected compounds and relative standard deviations were below 20% according to Document SANTE No. 12682/2019. The limits of quantification (LOQs) were between 10 and 100 μg kg-1. The method was applied for the analysis of barley and wheat grains obtained under production conditions. These samples contained mycotoxins and fungicide residues at concentrations below the LOQs, except for carbendazim in wheat, which exceeded the Codex maximum residue levels. The results of this study provide a fast and simple analytical tool to evaluate the primary production of these grains and to identify possible risks to human health.
© 2022 American Chemical Society. |
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Palabras claves : |
Cereals; Food safety; Fungicide residues; Hyphenated chromatographic techniques; Mycotoxins. |
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Thesagro : |
CEREALES. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 02367naa a2200325 a 4500
001 1063147
005 2022-05-17
008 2022 bl uuuu u00u1 u #d
022 $a2692-1952
024 7 $a10.1021/acsagscitech.1c00263$2DOI
100 1 $aPALLADINO, C.
245 $aApplication of a straightforward Mmthodology by LC-QqQ-MS/MS and GC-MS to ensure food safety of barley and wheat grain.$h[electronic resource]
260 $c2022
500 $aArticle history: Received 29 November 2021; Accepted 24 February 2022; Revised 4 February 2022; Published online 16 March 2022; Published in issue 18 April 2022. Corresponding author: Pareja, L.; Departamento de Química Del Litoral, Cenur Litoral Norte, Universidad de la República, Ruta 3 km 363, Paysandu, Uruguay; email:lpareja@fq.edu.uy --
520 $aABSTRACT. A multiclass methodology to determine deoxynivalenol, zearalenone, and 13 widely used fungicides to control the main diseases in barley and wheat crops was optimized and validated. Three QuEChERS methods were compared in terms of recovery and repeatability. The recoveries of the validated method were in the 67-128% range for the selected compounds and relative standard deviations were below 20% according to Document SANTE No. 12682/2019. The limits of quantification (LOQs) were between 10 and 100 μg kg-1. The method was applied for the analysis of barley and wheat grains obtained under production conditions. These samples contained mycotoxins and fungicide residues at concentrations below the LOQs, except for carbendazim in wheat, which exceeded the Codex maximum residue levels. The results of this study provide a fast and simple analytical tool to evaluate the primary production of these grains and to identify possible risks to human health. © 2022 American Chemical Society.
650 $aCEREALES
653 $aCereals
653 $aFood safety
653 $aFungicide residues
653 $aHyphenated chromatographic techniques
653 $aMycotoxins
700 1 $aMUELA, A.
700 1 $aTABORDA, B.
700 1 $aPUIGVERT, F.
700 1 $aPÉREZ-PARADA, A.
700 1 $aCOLAZZO, M.
700 1 $aPÉREZ, C. A.
700 1 $aPEREYRA, S.
700 1 $aPAREJA, L.
773 $tACS Agricultural Science and Technology, 2022, Volume 2, Issue 2, Pages 371-380. doi: https://doi.org/10.1021/acsagscitech.1c00263
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INIA Las Brujas (LB) |
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| Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
21/02/2014 |
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Actualizado : |
08/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
B - 1 |
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Autor : |
COZZOLINO, D.; MURRAY, I. |
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Afiliación : |
DANIEL COZZOLINO GÓMEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; SAC Aberdeen, Animal Biology Division, Craibstone Estate, Aberdeen AB21 9YA. UK. |
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Título : |
Effect of sample presentation and animal muscle species on the analysis of meat by near infrared reflectance spectroscopy. |
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Fecha de publicación : |
2002 |
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Fuente / Imprenta : |
Journal of Near Infrared Spectroscopy, 2002, Volume 10, Issue 1, Pages 37-44. |
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DOI : |
10.1255/jnirs.319 |
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Idioma : |
Inglés |
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Notas : |
Article history: Issue published: January 1, 2002/Received: April 05, 2001; Accepted: October 02, 2001/ Revisions received: July 06, 2001. |
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Contenido : |
Abstract.
The useful wavelengths in both the visible and the near infrared region as well as two sample presentations (intact and minced) were evaluated to assess moisture (M), crude protein (CP) and intra muscular fat (IMF) in lamb (n = 300), beef (n = 100) and chicken (n = 48) muscle samples. Samples were scanned in reflectance in a NIRSystems 6500 (NIRSystems, Silver Spring, MD, USA). Predictive equations were performed using modified partial least squares (MPLS) with internal cross-validation. The coefficient of determination in calibration (R2CAL) and the standard error in cross-validation (SECV) were calculated for each chemical parameter. For moisture, crude protein and fat (each expressed as g kg?1), R2CAL and SECV for beef muscle were 0.98, 0.81 and 0.96, respectively, and SECV was 33.1, 21.8 and 44.8 for beef muscle; for chicken muscle the comparable statistics were 0.99, 0.97 and 0.95 and SECV was 6.9, 2.4 and 33.1; while for lamb muscle R2CAL was 0.76, 0.83 and 0.73 and SECV 10.3, 5.5 and 4.7. It was concluded that the minced presentation is the best way to analyse muscle samples. On the other hand, intact presentation could have a great potential for use in the meat industry, although more research will be needed in order to determine quality attributes on meat samples. |
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Palabras claves : |
BEEF; CHICKEN; INTRA MUSCULAR FAT; MOISTURE; MUSCLES; NEAR INFRARED REFLECTANCE; PROTEIN; SHEEP. |
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Thesagro : |
ESPECTROSCOPIA INFRARROJA; GANADO DE CARNE; NIRS; OVEJA; POLLO. |
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Asunto categoría : |
L01 Ganadería |
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Marc : |
LEADER 02326naa a2200313 a 4500
001 1049362
005 2019-10-08
008 2002 bl uuuu u00u1 u #d
024 7 $a10.1255/jnirs.319$2DOI
100 1 $aCOZZOLINO, D.
245 $aEffect of sample presentation and animal muscle species on the analysis of meat by near infrared reflectance spectroscopy.$h[electronic resource]
260 $c2002
500 $aArticle history: Issue published: January 1, 2002/Received: April 05, 2001; Accepted: October 02, 2001/ Revisions received: July 06, 2001.
520 $aAbstract. The useful wavelengths in both the visible and the near infrared region as well as two sample presentations (intact and minced) were evaluated to assess moisture (M), crude protein (CP) and intra muscular fat (IMF) in lamb (n = 300), beef (n = 100) and chicken (n = 48) muscle samples. Samples were scanned in reflectance in a NIRSystems 6500 (NIRSystems, Silver Spring, MD, USA). Predictive equations were performed using modified partial least squares (MPLS) with internal cross-validation. The coefficient of determination in calibration (R2CAL) and the standard error in cross-validation (SECV) were calculated for each chemical parameter. For moisture, crude protein and fat (each expressed as g kg?1), R2CAL and SECV for beef muscle were 0.98, 0.81 and 0.96, respectively, and SECV was 33.1, 21.8 and 44.8 for beef muscle; for chicken muscle the comparable statistics were 0.99, 0.97 and 0.95 and SECV was 6.9, 2.4 and 33.1; while for lamb muscle R2CAL was 0.76, 0.83 and 0.73 and SECV 10.3, 5.5 and 4.7. It was concluded that the minced presentation is the best way to analyse muscle samples. On the other hand, intact presentation could have a great potential for use in the meat industry, although more research will be needed in order to determine quality attributes on meat samples.
650 $aESPECTROSCOPIA INFRARROJA
650 $aGANADO DE CARNE
650 $aNIRS
650 $aOVEJA
650 $aPOLLO
653 $aBEEF
653 $aCHICKEN
653 $aINTRA MUSCULAR FAT
653 $aMOISTURE
653 $aMUSCLES
653 $aNEAR INFRARED REFLECTANCE
653 $aPROTEIN
653 $aSHEEP
700 1 $aMURRAY, I.
773 $tJournal of Near Infrared Spectroscopy, 2002, Volume 10, Issue 1, Pages 37-44.
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