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Registro Completo |
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
27/05/2024 |
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Data da última atualização: |
12/05/2025 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MAGALHÃES, S. P.; SILVA, J. M. G. da; GRAÇA, J. P. da; NUNES, E. de O.; ZOCOLO, G. J.; HOFFMANN-CAMPO, C. B.; ZERAIK, M. L. |
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Afiliação: |
SUELEN PEREIRA MAGALHÃES, STATE UNIVERSITY OF LONDRINA; JAQUELINE MUNISE GUIMARÃES DA SILVA, STATE UNIVERSITY OF LONDRINA; JOSÉ PEREZ DA GRAÇA, NACIONAL UNIVERSITY OF CHILECITO; ESTELA DE OLIVEIRA NUNES, CNPSA; GUILHERME JULIAO ZOCOLO, CNPSO; CLARA BEATRIZ HOFFMANN CAMPO, CNPSO; MARIA LUIZA ZERAIK, STATE UNIVERSITY OF LONDRINA. |
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Título: |
Identification of volatile organic compounds in purple and white soybean flowers by HS-SPME/GC-MS. |
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Ano de publicação: |
2025 |
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Fonte/Imprenta: |
Natural Product Research, v. 39, n. 7, p. 2006-2011, 2025. |
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DOI: |
10.1080/14786419.2023.2272027 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: This study aimed to establish a method for the extraction, enrichment, and identification of volatile organic compounds (VOCs) released by the flowers of purple (BRS 399) and white (DONMARIO 6563) soybean varieties. We tested the Static Headspace (HS) and Solid Phase Microextraction (SPME) methods using various fibre types: PDMS (Polydimethylsiloxane), PDMS/DVB (Divinylbenzene), and PDMS/DVB/CAR (Carboxen). We employed gas chromatography-mass spectrometry (GC-MS) to identify the VOCs. The SPME method with PDMS/DVB and PDMS/DVB/CAR fibres yielded the highest number of extracted compounds for both soybean cultivars. Notably, 67 compounds were detected in Glycine max. L for the first time. Using the developed method, we were able to detect 52 and 57 VOCs in the purple and white soybean varieties, respectively, including ketones, alcohols, aldehydes and benzenoids. In conclusion, the method we developed effectively identified VOCs in soybean flowers, thus enriching our understanding of the interactions between soybean flowers and their pollinators. |
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Palavras-Chave: |
Composto orgânico volátil; Cromatografia em fase gasosa; Espectrometria de massa; Flores de soja; Microextração; Soybean flowers. |
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Thesagro: |
Soja. |
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Thesaurus Nal: |
Gas chromatography; Mass spectrometry; Microextraction; Volatile organic compounds. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02115naa a2200337 a 4500
001 2164490
005 2025-05-12
008 2025 bl uuuu u00u1 u #d
024 7 $a10.1080/14786419.2023.2272027$2DOI
100 1 $aMAGALHÃES, S. P.
245 $aIdentification of volatile organic compounds in purple and white soybean flowers by HS-SPME/GC-MS.$h[electronic resource]
260 $c2025
520 $aAbstract: This study aimed to establish a method for the extraction, enrichment, and identification of volatile organic compounds (VOCs) released by the flowers of purple (BRS 399) and white (DONMARIO 6563) soybean varieties. We tested the Static Headspace (HS) and Solid Phase Microextraction (SPME) methods using various fibre types: PDMS (Polydimethylsiloxane), PDMS/DVB (Divinylbenzene), and PDMS/DVB/CAR (Carboxen). We employed gas chromatography-mass spectrometry (GC-MS) to identify the VOCs. The SPME method with PDMS/DVB and PDMS/DVB/CAR fibres yielded the highest number of extracted compounds for both soybean cultivars. Notably, 67 compounds were detected in Glycine max. L for the first time. Using the developed method, we were able to detect 52 and 57 VOCs in the purple and white soybean varieties, respectively, including ketones, alcohols, aldehydes and benzenoids. In conclusion, the method we developed effectively identified VOCs in soybean flowers, thus enriching our understanding of the interactions between soybean flowers and their pollinators.
650 $aGas chromatography
650 $aMass spectrometry
650 $aMicroextraction
650 $aVolatile organic compounds
650 $aSoja
653 $aComposto orgânico volátil
653 $aCromatografia em fase gasosa
653 $aEspectrometria de massa
653 $aFlores de soja
653 $aMicroextração
653 $aSoybean flowers
700 1 $aSILVA, J. M. G. da
700 1 $aGRAÇA, J. P. da
700 1 $aNUNES, E. de O.
700 1 $aZOCOLO, G. J.
700 1 $aHOFFMANN-CAMPO, C. B.
700 1 $aZERAIK, M. L.
773 $tNatural Product Research$gv. 39, n. 7, p. 2006-2011, 2025.
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Registro original: |
Embrapa Soja (CNPSO) |
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