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Characterization and discrimination of flavor volatiles of different colored wheat grains after cooking based on GC-IMS and chemometrics

Changes in flavor volatiles of three colored wheat grains (black, green, and yellow) after cooking were detected via gas chromatography-ion migration spectrometry (GC-IMS) to explore corresponding volatile flavor traits. A total of 52 volatile chemicals were spotted among these cooked wheat grains,...

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Autores principales: Jin, Wengang, Zhao, Shibo, Sun, Haiyan, Pei, Jinjin, Gao, Ruichang, Jiang, Pengfei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484957/
https://www.ncbi.nlm.nih.gov/pubmed/37691695
http://dx.doi.org/10.1016/j.crfs.2023.100583
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author Jin, Wengang
Zhao, Shibo
Sun, Haiyan
Pei, Jinjin
Gao, Ruichang
Jiang, Pengfei
author_facet Jin, Wengang
Zhao, Shibo
Sun, Haiyan
Pei, Jinjin
Gao, Ruichang
Jiang, Pengfei
author_sort Jin, Wengang
collection PubMed
description Changes in flavor volatiles of three colored wheat grains (black, green, and yellow) after cooking were detected via gas chromatography-ion migration spectrometry (GC-IMS) to explore corresponding volatile flavor traits. A total of 52 volatile chemicals were spotted among these cooked wheat grains, including 30 aldehydes (accounting for 73.86–83.78%), 11 ketones (9.53–16.98%), 3 alcohols (0.88–1.21%), 4 furans (4.82–7.44%), 2 esters (0.28–0.42%), and 2 pyrazines (0.18–0.32%). Aldehydes, ketones, and furans were the main volatile compounds in three different cooked wheat. For black-colored wheat, the relative contents of benzene acetaldehyde, benzaldehyde, 2-methyl butanal, and 3-methyl butanal were much higher (p < 0.05). For green-colored wheat, the relative contents of nonanal, 2-pentyl furan, (E)-hept-2-enal, 2-butanone, and acetone were significantly higher (p < 0.05). For yellow-colored wheat, the relative amounts of heptanal, hexanal, and pentanal were much higher (p < 0.05). The overall volatile substances of the three cooked wheat grains might be classified by GC-IMS data coupled with principal component analysis and heatmap clustering analysis. A reliable forecast set was established through orthogonal partial least squares-discriminant analysis (OPLS-DA), and 22 differential volatile compounds were screened out based on variable importance in projection (VIP) being higher than 1.0, as flavor markers for distinguishing the three cooked wheat grains. These results suggest that GC-IMS could be used for characterizing the flavor volatiles of different colored wheat, and the findings could contribute certain information for understand the aroma traits in different colored cooked wheat and related products in the future.
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spelling pubmed-104849572023-09-09 Characterization and discrimination of flavor volatiles of different colored wheat grains after cooking based on GC-IMS and chemometrics Jin, Wengang Zhao, Shibo Sun, Haiyan Pei, Jinjin Gao, Ruichang Jiang, Pengfei Curr Res Food Sci Research Article Changes in flavor volatiles of three colored wheat grains (black, green, and yellow) after cooking were detected via gas chromatography-ion migration spectrometry (GC-IMS) to explore corresponding volatile flavor traits. A total of 52 volatile chemicals were spotted among these cooked wheat grains, including 30 aldehydes (accounting for 73.86–83.78%), 11 ketones (9.53–16.98%), 3 alcohols (0.88–1.21%), 4 furans (4.82–7.44%), 2 esters (0.28–0.42%), and 2 pyrazines (0.18–0.32%). Aldehydes, ketones, and furans were the main volatile compounds in three different cooked wheat. For black-colored wheat, the relative contents of benzene acetaldehyde, benzaldehyde, 2-methyl butanal, and 3-methyl butanal were much higher (p < 0.05). For green-colored wheat, the relative contents of nonanal, 2-pentyl furan, (E)-hept-2-enal, 2-butanone, and acetone were significantly higher (p < 0.05). For yellow-colored wheat, the relative amounts of heptanal, hexanal, and pentanal were much higher (p < 0.05). The overall volatile substances of the three cooked wheat grains might be classified by GC-IMS data coupled with principal component analysis and heatmap clustering analysis. A reliable forecast set was established through orthogonal partial least squares-discriminant analysis (OPLS-DA), and 22 differential volatile compounds were screened out based on variable importance in projection (VIP) being higher than 1.0, as flavor markers for distinguishing the three cooked wheat grains. These results suggest that GC-IMS could be used for characterizing the flavor volatiles of different colored wheat, and the findings could contribute certain information for understand the aroma traits in different colored cooked wheat and related products in the future. Elsevier 2023-08-30 /pmc/articles/PMC10484957/ /pubmed/37691695 http://dx.doi.org/10.1016/j.crfs.2023.100583 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Jin, Wengang
Zhao, Shibo
Sun, Haiyan
Pei, Jinjin
Gao, Ruichang
Jiang, Pengfei
Characterization and discrimination of flavor volatiles of different colored wheat grains after cooking based on GC-IMS and chemometrics
title Characterization and discrimination of flavor volatiles of different colored wheat grains after cooking based on GC-IMS and chemometrics
title_full Characterization and discrimination of flavor volatiles of different colored wheat grains after cooking based on GC-IMS and chemometrics
title_fullStr Characterization and discrimination of flavor volatiles of different colored wheat grains after cooking based on GC-IMS and chemometrics
title_full_unstemmed Characterization and discrimination of flavor volatiles of different colored wheat grains after cooking based on GC-IMS and chemometrics
title_short Characterization and discrimination of flavor volatiles of different colored wheat grains after cooking based on GC-IMS and chemometrics
title_sort characterization and discrimination of flavor volatiles of different colored wheat grains after cooking based on gc-ims and chemometrics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10484957/
https://www.ncbi.nlm.nih.gov/pubmed/37691695
http://dx.doi.org/10.1016/j.crfs.2023.100583
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