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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
07/02/2023 |
Actualizado : |
07/02/2023 |
Tipo de producción científica : |
Capítulo en Libro Técnico-Científico |
Autor : |
FARIÑA, L.; BOIDO, E.; ARES, G.; GONZALEZ, N.; LADO, J.; CURBELO, R.; ALMEIDA, L.; MEDINA, K.; CARRAU, F.; DELLACASSA, E, |
Afiliación : |
LAURA FARIÑA, Área de Enología y Biotecnología de Fermentaciones, Departamento de Ciencia y Tecnología de los Alimentos, Facultad de Química, Universidad de la República, Av. General Flores 2124, 11800 Montevideo, Uruguay; EDUARDO BOIDO, a Área de Enología y Biotecnología de Fermentaciones, Departamento de Ciencia y Tecnología de Los Alimentos, Facultad de Química, Universidad de la República, Av. General Flores 2124, Montevideo, 11800, Uruguay; GASTÓN ARES, Sensometría y Ciencia Del Consumidor, Instituto Polo Tecnológico de Pando, Facultad de Química, Universidad de la República, By Pass de Rutas 8 y 101 s/n, Canelones, Pando, 91000, Uruguay; NOELA GONZALEZ, Área de Enología y Biotecnología de Fermentaciones, Departamento de Ciencia y Tecnología de Los Alimentos, Facultad de Química, Universidad de la República, Av. General Flores 2124, Montevideo, 11800, Uruguay; JOANNA LADO LINDNER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ROMINA CURBELO, Laboratorio de Biotecnología de Aromas, Departamento de Química Orgánica, Facultad de Química, Universidad de la República, Av. General Flores 2124, Montevideo, 11800, Uruguay; LUCÍA ALMEIDA, Área de Enología y Biotecnología de Fermentaciones, Departamento de Ciencia y Tecnología de Los Alimentos, Facultad de Química, Universidad de la República, Av. General Flores 2124, Montevideo, 11800, Uruguay; KARINA MEDINA, Área de Enología y Biotecnología de Fermentaciones, Departamento de Ciencia y Tecnología de Los Alimentos, Facultad de Química, Universidad de la República, Av. General Flores 2124, Montevideo, 11800, Uruguay; FRANCISCO CARRAU, Área de Enología y Biotecnología de Fermentaciones, Departamento de Ciencia y Tecnología de Los Alimentos, Facultad de Química, Universidad de la República, Av. General Flores 2124, Montevideo, 11800, Uruguay; EDUARDO DELLACASSA, Laboratorio de Biotecnología de Aromas, Departamento de Química Orgánica, Facultad de Química, Universidad de la República, Av. General Flores 2124, 11800 Montevideo, Uruguay. |
Título : |
Solid phase microextraction for the characterization of food aroma and particular sensory defects. (Chap.6) |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
In: ACS Symposium Series, 2023, Volume 1433, Pages 299 - 325. Flavors and Fragrances in Food Processing: Preparation and Characterization Methods. Balakrishnan P., Gopi S. (editors). doi: https://doi.org/10.1021/bk-2022-1433.ch006 |
Serie : |
(ACS Symposium Series; Volume 1433). |
ISSN : |
0097-6156 |
DOI : |
10.1021/bk-2022-1433.ch006 |
Idioma : |
Inglés |
Notas : |
Chapter book history: Publication Date (Web):December 28, 2022 -- Corresponding author: Dellacassa, E.; Laboratorio de Biotecnología de Aromas, Departamento de Química Orgánica, Facultad de Química, Universidad de la República, Av. General Flores 2124, Montevideo, Uruguay; email:edellac@fq.edu.uy -- Publisher:
American Chemical Society -- Volume editors: Balakrishnan P., Gopi S., ADSO Naturals India, Bangalore, Balakrishnan P., Gopi S., Curesupport Netherlands, Deventer. -- |
Contenido : |
ABSTRACT.- Solid Phase Microextraction or SPME was created to facilitate faster sample preparation, both in the laboratory and wherever the sampling site is located. Solid phase microextraction (SPME) was developed by Pawliszyn's group in 1990 as a solvent-free technique on the basis of adsorption-absorption theory. SPME is based on the principle that analytes are distributed between the sample matrix and the fiber coating. The fiber is built of fused silica and covered with a sorbent (polymeric materials identical to those used as stationary phase in gas chromatography columns). The transport of the analytes from the sample matrix to the fiber begins when the fiber comes into contact with the sample. The analytes are then desorbed by temperature or with an organic solvent. The extraction is complete and satisfactory when the analyte has reached an equilibrium concentration of distribution between the sample and the fiber. Even being experimentally a non-exhaustive extractive technique (it is an equilibrium), SPME has been rapidly adopted as a simple, miniaturized, and green technique, which combines sampling, extraction, concentration, cleanup and sample introduction in a single step. These characteristics transformed SPME in one of the most used techniques for different applications related to analytical chemistry. In this chapter, we will present different number of examples by which SPME focuses in the characterization of both food aroma and frequent odor defects.. © 2023 American Chemical Society. All rights reserved. MenosABSTRACT.- Solid Phase Microextraction or SPME was created to facilitate faster sample preparation, both in the laboratory and wherever the sampling site is located. Solid phase microextraction (SPME) was developed by Pawliszyn's group in 1990 as a solvent-free technique on the basis of adsorption-absorption theory. SPME is based on the principle that analytes are distributed between the sample matrix and the fiber coating. The fiber is built of fused silica and covered with a sorbent (polymeric materials identical to those used as stationary phase in gas chromatography columns). The transport of the analytes from the sample matrix to the fiber begins when the fiber comes into contact with the sample. The analytes are then desorbed by temperature or with an organic solvent. The extraction is complete and satisfactory when the analyte has reached an equilibrium concentration of distribution between the sample and the fiber. Even being experimentally a non-exhaustive extractive technique (it is an equilibrium), SPME has been rapidly adopted as a simple, miniaturized, and green technique, which combines sampling, extraction, concentration, cleanup and sample introduction in a single step. These characteristics transformed SPME in one of the most used techniques for different applications related to analytical chemistry. In this chapter, we will present different number of examples by which SPME focuses in the characterization of both food aroma and frequent odor defects.. © 202... Presentar Todo |
Palabras claves : |
Beverages; Extraction; Fibers; Food processing; Organic compounds; Volatile organic compounds. |
Asunto categoría : |
Q01 Ciencia y tecnología de los alimentos |
Marc : |
LEADER 03189naa a2200349 a 4500 001 1063955 005 2023-02-07 008 2023 bl uuuu u00u1 u #d 022 $a0097-6156 024 7 $a10.1021/bk-2022-1433.ch006$2DOI 100 1 $aFARIÑA, L. 245 $aSolid phase microextraction for the characterization of food aroma and particular sensory defects. (Chap.6)$h[electronic resource] 260 $c2023 490 $a(ACS Symposium Series; Volume 1433). 500 $aChapter book history: Publication Date (Web):December 28, 2022 -- Corresponding author: Dellacassa, E.; Laboratorio de Biotecnología de Aromas, Departamento de Química Orgánica, Facultad de Química, Universidad de la República, Av. General Flores 2124, Montevideo, Uruguay; email:edellac@fq.edu.uy -- Publisher: American Chemical Society -- Volume editors: Balakrishnan P., Gopi S., ADSO Naturals India, Bangalore, Balakrishnan P., Gopi S., Curesupport Netherlands, Deventer. -- 520 $aABSTRACT.- Solid Phase Microextraction or SPME was created to facilitate faster sample preparation, both in the laboratory and wherever the sampling site is located. Solid phase microextraction (SPME) was developed by Pawliszyn's group in 1990 as a solvent-free technique on the basis of adsorption-absorption theory. SPME is based on the principle that analytes are distributed between the sample matrix and the fiber coating. The fiber is built of fused silica and covered with a sorbent (polymeric materials identical to those used as stationary phase in gas chromatography columns). The transport of the analytes from the sample matrix to the fiber begins when the fiber comes into contact with the sample. The analytes are then desorbed by temperature or with an organic solvent. The extraction is complete and satisfactory when the analyte has reached an equilibrium concentration of distribution between the sample and the fiber. Even being experimentally a non-exhaustive extractive technique (it is an equilibrium), SPME has been rapidly adopted as a simple, miniaturized, and green technique, which combines sampling, extraction, concentration, cleanup and sample introduction in a single step. These characteristics transformed SPME in one of the most used techniques for different applications related to analytical chemistry. In this chapter, we will present different number of examples by which SPME focuses in the characterization of both food aroma and frequent odor defects.. © 2023 American Chemical Society. All rights reserved. 653 $aBeverages 653 $aExtraction 653 $aFibers 653 $aFood processing 653 $aOrganic compounds 653 $aVolatile organic compounds 700 1 $aBOIDO, E. 700 1 $aARES, G. 700 1 $aGONZALEZ, N. 700 1 $aLADO, J. 700 1 $aCURBELO, R. 700 1 $aALMEIDA, L. 700 1 $aMEDINA, K. 700 1 $aCARRAU, F. 700 1 $aDELLACASSA, E, 773 $tIn: ACS Symposium Series, 2023, Volume 1433, Pages 299 - 325. Flavors and Fragrances in Food Processing: Preparation and Characterization Methods. Balakrishnan P., Gopi S. (editors). doi: https://doi.org/10.1021/bk-2022-1433.ch006
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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA La Estanzuela; INIA Las Brujas. |
Fecha actual : |
14/11/2015 |
Actualizado : |
05/12/2018 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
MORA, F.; CASTILLO, D.; LADO, B.; MATUS, I.; POLAND, J.; BELZILE, F.; VON ZITZEWITZ, J.; DEL POZO, A. |
Afiliación : |
BETTINA LADO LINDNER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
Título : |
Genome-wide association mapping of agronomic traits and carbon isotope discrimination in a worldwide germplasm collection of spring wheat using SNP markers. |
Fecha de publicación : |
2015 |
Fuente / Imprenta : |
Molecular Breeding, 2015, v,35, no.2, 12 p. |
ISSN : |
1380-3743 |
DOI : |
10.1007/s11032-015-0264-y |
Idioma : |
Inglés |
Contenido : |
ABSTRACT.
Association mapping has been proposed to identify polymorphisms involved in phenotypic variations and may prove useful in identifying interesting alleles for breeding purposes. Using this approach, a total of 382 cultivars and advanced lines of spring wheat obtained from three breeding programs (Chile, Uruguay and CIMMYT) were evaluated for plant height (PH), kernels per spike (KS), 1,000 kernel weight (TKW), grain yield and carbon isotope discrimination (Δ13C) and tested for genotyping-by-sequencing-derived SNP markers across the hexaploid wheat genome. A Bayesian clustering approach via Markov chain Monte Carlo was performed to examine the genetic differentiation (FST) among different genetic groups. The results indicated the existence of two distinct and strongly differentiated genetic groups. Cluster I contained 215 genotypes (56.3 %), over 60 % (137/215) of which were collected from CIMMYT. Cluster II showed the highest FST value, according to 95 % credible interval. Linkage disequilibrium (LD) among SNPs was calculated for the A, B and D genomes and at the whole-genome level. LD decayed over a longer genetic distance for the D genome than for the A and B genomes. In the A and B genomes, LD declined to 50 % of its initial value at about 2 cM. In the D genome, LD was much more extensive, declining to 50 % of its initial value only at 22 cM. In the whole genome, LD declined to 50 % of its initial value at an average of 4 cM. Important genomic regions associated with complex traits in spring wheat were identified. Selection on these regions may increase the efficiency of the current breeding programs. Although most of the associations were environment specific, some stable associations were detected for Δ13C, KS, PH and TKW. Chromosomes 1A, 3A, 4A and 5A were the most important chromosomes, as they comprised quantitative trait loci (QTL) for Δ13C, a trait that can be used as an indirect tool for increased water-use efficiency in wheat. Environment-specific genomic regions were detected, indicating the presence of QTL-by-environment interaction. To produce suitable genotypes under contrasting water availability conditions, QTL × E interactions (and genotype-by-environment interaction) should be considered in the current spring wheat breeding program.
© 2015, Springer Science+Business Media Dordrecht. MenosABSTRACT.
Association mapping has been proposed to identify polymorphisms involved in phenotypic variations and may prove useful in identifying interesting alleles for breeding purposes. Using this approach, a total of 382 cultivars and advanced lines of spring wheat obtained from three breeding programs (Chile, Uruguay and CIMMYT) were evaluated for plant height (PH), kernels per spike (KS), 1,000 kernel weight (TKW), grain yield and carbon isotope discrimination (Δ13C) and tested for genotyping-by-sequencing-derived SNP markers across the hexaploid wheat genome. A Bayesian clustering approach via Markov chain Monte Carlo was performed to examine the genetic differentiation (FST) among different genetic groups. The results indicated the existence of two distinct and strongly differentiated genetic groups. Cluster I contained 215 genotypes (56.3 %), over 60 % (137/215) of which were collected from CIMMYT. Cluster II showed the highest FST value, according to 95 % credible interval. Linkage disequilibrium (LD) among SNPs was calculated for the A, B and D genomes and at the whole-genome level. LD decayed over a longer genetic distance for the D genome than for the A and B genomes. In the A and B genomes, LD declined to 50 % of its initial value at about 2 cM. In the D genome, LD was much more extensive, declining to 50 % of its initial value only at 22 cM. In the whole genome, LD declined to 50 % of its initial value at an average of 4 cM. Important genomic regions assoc... Presentar Todo |
Palabras claves : |
CARTOGRAFÍA GENÉTICA; ESTRÉS HÍDRICO; ESTRUCTURA GENÉTICA; LOCUS DE UN CARÁCTER CUANTITATIVO; MAPEO ASOCIATIVO; MAPEO DE QTLs; MAPEO POR ASOCIACIÓN; QTL; QUANTITATIVE TRAIT LOCI DETECTION. |
Thesagro : |
FITOMEJORAMIENTO; SEQUIA; TRIGO; TRITICUM AESTIVUM. |
Asunto categoría : |
-- F30 Genética vegetal y fitomejoramiento |
Marc : |
LEADER 03527naa a2200385 a 4500 001 1053879 005 2018-12-05 008 2015 bl uuuu u00u1 u #d 022 $a1380-3743 024 7 $a10.1007/s11032-015-0264-y$2DOI 100 1 $aMORA, F. 245 $aGenome-wide association mapping of agronomic traits and carbon isotope discrimination in a worldwide germplasm collection of spring wheat using SNP markers.$h[electronic resource] 260 $c2015 520 $aABSTRACT. Association mapping has been proposed to identify polymorphisms involved in phenotypic variations and may prove useful in identifying interesting alleles for breeding purposes. Using this approach, a total of 382 cultivars and advanced lines of spring wheat obtained from three breeding programs (Chile, Uruguay and CIMMYT) were evaluated for plant height (PH), kernels per spike (KS), 1,000 kernel weight (TKW), grain yield and carbon isotope discrimination (Δ13C) and tested for genotyping-by-sequencing-derived SNP markers across the hexaploid wheat genome. A Bayesian clustering approach via Markov chain Monte Carlo was performed to examine the genetic differentiation (FST) among different genetic groups. The results indicated the existence of two distinct and strongly differentiated genetic groups. Cluster I contained 215 genotypes (56.3 %), over 60 % (137/215) of which were collected from CIMMYT. Cluster II showed the highest FST value, according to 95 % credible interval. Linkage disequilibrium (LD) among SNPs was calculated for the A, B and D genomes and at the whole-genome level. LD decayed over a longer genetic distance for the D genome than for the A and B genomes. In the A and B genomes, LD declined to 50 % of its initial value at about 2 cM. In the D genome, LD was much more extensive, declining to 50 % of its initial value only at 22 cM. In the whole genome, LD declined to 50 % of its initial value at an average of 4 cM. Important genomic regions associated with complex traits in spring wheat were identified. Selection on these regions may increase the efficiency of the current breeding programs. Although most of the associations were environment specific, some stable associations were detected for Δ13C, KS, PH and TKW. Chromosomes 1A, 3A, 4A and 5A were the most important chromosomes, as they comprised quantitative trait loci (QTL) for Δ13C, a trait that can be used as an indirect tool for increased water-use efficiency in wheat. Environment-specific genomic regions were detected, indicating the presence of QTL-by-environment interaction. To produce suitable genotypes under contrasting water availability conditions, QTL × E interactions (and genotype-by-environment interaction) should be considered in the current spring wheat breeding program. © 2015, Springer Science+Business Media Dordrecht. 650 $aFITOMEJORAMIENTO 650 $aSEQUIA 650 $aTRIGO 650 $aTRITICUM AESTIVUM 653 $aCARTOGRAFÍA GENÉTICA 653 $aESTRÉS HÍDRICO 653 $aESTRUCTURA GENÉTICA 653 $aLOCUS DE UN CARÁCTER CUANTITATIVO 653 $aMAPEO ASOCIATIVO 653 $aMAPEO DE QTLs 653 $aMAPEO POR ASOCIACIÓN 653 $aQTL 653 $aQUANTITATIVE TRAIT LOCI DETECTION 700 1 $aCASTILLO, D. 700 1 $aLADO, B. 700 1 $aMATUS, I. 700 1 $aPOLAND, J. 700 1 $aBELZILE, F. 700 1 $aVON ZITZEWITZ, J. 700 1 $aDEL POZO, A. 773 $tMolecular Breeding, 2015, v,35, no.2, 12 p.
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