Regional differentiation based on volatile compounds via HS-SPME/GC–MS and chemical compositions comparison of hemp (Cannabis sativa L.) seeds. (December 2022)
- Record Type:
- Journal Article
- Title:
- Regional differentiation based on volatile compounds via HS-SPME/GC–MS and chemical compositions comparison of hemp (Cannabis sativa L.) seeds. (December 2022)
- Main Title:
- Regional differentiation based on volatile compounds via HS-SPME/GC–MS and chemical compositions comparison of hemp (Cannabis sativa L.) seeds
- Authors:
- Song, Weiyu
Yin, Hao
Zhong, Yu
Wang, Danfeng
Xu, Wenbin
Deng, Yun - Abstract:
- Graphical abstract: Highlights: Industrial hemp seeds from four producing regions in China were analyzed. HS-SPME/GC–MS was used to identify the difference of aroma volatiles in hemp seeds. 35 volatiles with odor activity value (OAV) ≥ 1 were considered as key odorants. Acetic acid, hexanal, hexan-1-ol and eucalyptol contributed most to the difference. Multivariate analysis could realize regional differentiation based on volatiles. Abstract: Cannabis sativa L., has gained increasing attention due to its potential applications in various fields. However, the compositions of hemp seeds from different producing regions are quite different, significantly affects resource utilization. This work conducted the regional differentiation of hemp seeds from Dongbei, Guangxi, Inner Mongolia and Shanxi in China based on the headspace solid phase micro-extraction coupled with gas chromatography-mass spectrometry (HS-SPME/GC–MS) and multivariate analysis. Moreover, the chemical composition, amino acid and fatty acid profiles of hemp seeds and antioxidant activities of hemp protein isolate were evaluated from above four producing regions. The results showed that hemp seeds had large amounts of fat (24.30–34.65%) and protein (21.87–23.40%) with ideal amino acid and fatty acid profiles and large amounts of volatiles. More than 300 volatile compounds were detected, and 35 key contributors to the unique aroma were finally identified out of 110 volatile compounds with odor activity valuesGraphical abstract: Highlights: Industrial hemp seeds from four producing regions in China were analyzed. HS-SPME/GC–MS was used to identify the difference of aroma volatiles in hemp seeds. 35 volatiles with odor activity value (OAV) ≥ 1 were considered as key odorants. Acetic acid, hexanal, hexan-1-ol and eucalyptol contributed most to the difference. Multivariate analysis could realize regional differentiation based on volatiles. Abstract: Cannabis sativa L., has gained increasing attention due to its potential applications in various fields. However, the compositions of hemp seeds from different producing regions are quite different, significantly affects resource utilization. This work conducted the regional differentiation of hemp seeds from Dongbei, Guangxi, Inner Mongolia and Shanxi in China based on the headspace solid phase micro-extraction coupled with gas chromatography-mass spectrometry (HS-SPME/GC–MS) and multivariate analysis. Moreover, the chemical composition, amino acid and fatty acid profiles of hemp seeds and antioxidant activities of hemp protein isolate were evaluated from above four producing regions. The results showed that hemp seeds had large amounts of fat (24.30–34.65%) and protein (21.87–23.40%) with ideal amino acid and fatty acid profiles and large amounts of volatiles. More than 300 volatile compounds were detected, and 35 key contributors to the unique aroma were finally identified out of 110 volatile compounds with odor activity values (OAVs), including 14 aldehydes, 2 ketones, 4 alcohols, 2 esters, 1 acid, 3 aromatics, 5 terpenes and 4 other compounds. The content of alcohols in all hemp seeds was highest and 16 unique volatiles only found in hemp seeds from Shanxi. Meanwhile, the VIP scores indicated that acetic acid, hexanal, hexan-1-ol and eucalyptol contributed the most to the difference among groups. According to the results of fuzzy comprehensive evaluation, the hemp seeds from Shanxi seemed to have the better quality. Therefore, multivariate analysis combined with HS-SPME/GC–MS could effectively distinguish hemp seeds from different producing regions, and thus decipher the geographical characteristics of raw materials. … (more)
- Is Part Of:
- Food research international. Volume 162(2022)Part B
- Journal:
- Food research international
- Issue:
- Volume 162(2022)Part B
- Issue Display:
- Volume 162, Issue B (2022)
- Year:
- 2022
- Volume:
- 162
- Issue:
- B
- Issue Sort Value:
- 2022-0162-NaN-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-12
- Subjects:
- Cannabis sativa L. -- HS-SPME/GC–MS -- Chemical compositions -- Volatile compounds -- Multivariate analysis -- Regional differentiation
Food -- Analysis -- Periodicals
Food industry and trade -- Periodicals
Food industry and trade -- Canada -- Periodicals
Food Technology -- Periodicals
Food -- Periodicals
Food-Processing Industry -- Periodicals
Aliments -- Industrie et commerce -- Périodiques
Aliments -- Industrie et commerce -- Canada -- Périodiques
Aliments -- Recherche -- Périodiques
Food industry and trade
Canada
Periodicals
Electronic journals
664.005 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09639969 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.foodres.2022.112151 ↗
- Languages:
- English
- ISSNs:
- 0963-9969
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3982.120000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24575.xml