Cargando…

Key-Marker Volatile Compounds in Aromatic Rice (Oryza sativa) Grains: An HS-SPME Extraction Method Combined with GC×GC-TOFMS

The aroma of rice essentially contributes to the quality of rice grains. For some varieties, their aroma properties really drive consumer preferences. In this paper, using a dynamic headspace solid-phase microextraction (HS-SPME) system coupled to a two-dimensional gas chromatography (GC×GC) using a...

Descripción completa

Detalles Bibliográficos
Autores principales: Setyaningsih, Widiastuti, Majchrzak, Tomasz, Dymerski, Tomasz, Namieśnik, Jacek, Palma, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891657/
https://www.ncbi.nlm.nih.gov/pubmed/31752176
http://dx.doi.org/10.3390/molecules24224180
_version_ 1783475867810267136
author Setyaningsih, Widiastuti
Majchrzak, Tomasz
Dymerski, Tomasz
Namieśnik, Jacek
Palma, Miguel
author_facet Setyaningsih, Widiastuti
Majchrzak, Tomasz
Dymerski, Tomasz
Namieśnik, Jacek
Palma, Miguel
author_sort Setyaningsih, Widiastuti
collection PubMed
description The aroma of rice essentially contributes to the quality of rice grains. For some varieties, their aroma properties really drive consumer preferences. In this paper, using a dynamic headspace solid-phase microextraction (HS-SPME) system coupled to a two-dimensional gas chromatography (GC×GC) using a time-of-flight mass spectrometric detector (TOFMS) and multivariate analysis, the volatile compounds of aromatic and non-aromatic rice grains were contrasted to define some chemical markers. Fifty-one volatile compounds were selected for principal component analysis resulting in eight key-marker volatile compounds (i.e., pentanal, hexanal, 2-pentyl-furan, 2,4-nonadienal, pyridine, 1-octen-3-ol and (E)-2-octenal) as responsible for the differences between aromatic and non-aromatic rice varieties. The factors that are most likely to affect the HS-SPME efficiency for the aforementioned key-marker compounds were evaluated using a [Formula: see text] fractional factorial design in conjunction with multi-response optimisation. The method precision values, expressed as % of coefficient of variation (CV), were ranging from 1.91% to 26.90% for repeatability (n = 9) and 7.32% to 37.36% for intermediate precision (n = 3 × 3). Furthermore, the method was successfully applied to evaluate the volatile compounds of rice varieties from some Asian countries.
format Online
Article
Text
id pubmed-6891657
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-68916572019-12-12 Key-Marker Volatile Compounds in Aromatic Rice (Oryza sativa) Grains: An HS-SPME Extraction Method Combined with GC×GC-TOFMS Setyaningsih, Widiastuti Majchrzak, Tomasz Dymerski, Tomasz Namieśnik, Jacek Palma, Miguel Molecules Article The aroma of rice essentially contributes to the quality of rice grains. For some varieties, their aroma properties really drive consumer preferences. In this paper, using a dynamic headspace solid-phase microextraction (HS-SPME) system coupled to a two-dimensional gas chromatography (GC×GC) using a time-of-flight mass spectrometric detector (TOFMS) and multivariate analysis, the volatile compounds of aromatic and non-aromatic rice grains were contrasted to define some chemical markers. Fifty-one volatile compounds were selected for principal component analysis resulting in eight key-marker volatile compounds (i.e., pentanal, hexanal, 2-pentyl-furan, 2,4-nonadienal, pyridine, 1-octen-3-ol and (E)-2-octenal) as responsible for the differences between aromatic and non-aromatic rice varieties. The factors that are most likely to affect the HS-SPME efficiency for the aforementioned key-marker compounds were evaluated using a [Formula: see text] fractional factorial design in conjunction with multi-response optimisation. The method precision values, expressed as % of coefficient of variation (CV), were ranging from 1.91% to 26.90% for repeatability (n = 9) and 7.32% to 37.36% for intermediate precision (n = 3 × 3). Furthermore, the method was successfully applied to evaluate the volatile compounds of rice varieties from some Asian countries. MDPI 2019-11-18 /pmc/articles/PMC6891657/ /pubmed/31752176 http://dx.doi.org/10.3390/molecules24224180 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Setyaningsih, Widiastuti
Majchrzak, Tomasz
Dymerski, Tomasz
Namieśnik, Jacek
Palma, Miguel
Key-Marker Volatile Compounds in Aromatic Rice (Oryza sativa) Grains: An HS-SPME Extraction Method Combined with GC×GC-TOFMS
title Key-Marker Volatile Compounds in Aromatic Rice (Oryza sativa) Grains: An HS-SPME Extraction Method Combined with GC×GC-TOFMS
title_full Key-Marker Volatile Compounds in Aromatic Rice (Oryza sativa) Grains: An HS-SPME Extraction Method Combined with GC×GC-TOFMS
title_fullStr Key-Marker Volatile Compounds in Aromatic Rice (Oryza sativa) Grains: An HS-SPME Extraction Method Combined with GC×GC-TOFMS
title_full_unstemmed Key-Marker Volatile Compounds in Aromatic Rice (Oryza sativa) Grains: An HS-SPME Extraction Method Combined with GC×GC-TOFMS
title_short Key-Marker Volatile Compounds in Aromatic Rice (Oryza sativa) Grains: An HS-SPME Extraction Method Combined with GC×GC-TOFMS
title_sort key-marker volatile compounds in aromatic rice (oryza sativa) grains: an hs-spme extraction method combined with gc×gc-tofms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891657/
https://www.ncbi.nlm.nih.gov/pubmed/31752176
http://dx.doi.org/10.3390/molecules24224180
work_keys_str_mv AT setyaningsihwidiastuti keymarkervolatilecompoundsinaromaticriceoryzasativagrainsanhsspmeextractionmethodcombinedwithgcgctofms
AT majchrzaktomasz keymarkervolatilecompoundsinaromaticriceoryzasativagrainsanhsspmeextractionmethodcombinedwithgcgctofms
AT dymerskitomasz keymarkervolatilecompoundsinaromaticriceoryzasativagrainsanhsspmeextractionmethodcombinedwithgcgctofms
AT namiesnikjacek keymarkervolatilecompoundsinaromaticriceoryzasativagrainsanhsspmeextractionmethodcombinedwithgcgctofms
AT palmamiguel keymarkervolatilecompoundsinaromaticriceoryzasativagrainsanhsspmeextractionmethodcombinedwithgcgctofms