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中国新疆冷榨红花籽油中挥发性化合物的综合分析

Comprehensive analysis of volatile compounds in cold-pressed safflower seed oil from Xinjiang, China.

作者信息

Wang Lin, Chen Zhuo, Han Bo, Wu Wenxia, Zhao Qiaoling, Wei Changqing, Liu Wenyu

机构信息

School of Food Science and Technology/Key Laboratory of Xinjiang Phytomedicine Resource and Utilization Ministry of Education Shihezi University Shihezi China.

School of Pharmacy/Key Laboratory of Xinjiang Phytomedicine Resource and Utilization of Ministry of Education Shihezi University Shihezi China.

出版信息

Food Sci Nutr. 2019 Dec 27;8(2):903-914. doi: 10.1002/fsn3.1369. eCollection 2020 Feb.

Abstract

Three varieties of safflower seed oil (SSO) from Xinjiang Autonomous Region, China, were analyzed by headspace solid-phase micro-extraction gas chromatography coupled with mass spectrometry (HS-SPME-GC-MS) to reveal volatile components. Overall, 67 volatile components were determined and four compounds including isoamyl alcohol, caproic acid, n-pentanal, and heptanal were newly identified in SSO as aroma-active components. Meanwhile, 16 compounds were selected by relative odor activity value (ROAV) to evaluate contributions of single compounds to the overall odor (ROAV > 1), in which nonanal, (Z)-6-nonenal, and (E)-2,4-decadienal were the top three contributed substances (ROAV > 70). The sensory panel was described as eight definition terms (grassy, fruity, almond, mushroom, fatty, sweet, paddy, and overall fragrance). Principal component analysis (PCA) revealed a significant separation of three cultivars with the first principal component (PC-1) and the second principal component (PC-2) expressing 73.9% and 23.1%, respectively. Both PCA and ROAV allowed identifying the compounds positively correlated to sensory evaluation.

摘要

采用顶空固相微萃取气相色谱-质谱联用(HS-SPME-GC-MS)技术对中国新疆自治区的三种红花籽油(SSO)进行分析,以揭示其挥发性成分。共鉴定出67种挥发性成分,其中异戊醇、己酸、正戊醛和庚醛这四种化合物在红花籽油中被新鉴定为香气活性成分。同时,通过相对气味活性值(ROAV)筛选出16种化合物来评估单一化合物对整体气味的贡献(ROAV > 1),其中壬醛、(Z)-6-壬烯醛和(E)-2,4-癸二烯醛是贡献最大的三种物质(ROAV > 70)。感官评价小组用八个定义术语(青草味、果味、杏仁味、蘑菇味、脂肪味、甜味、稻谷味和整体香气)进行描述。主成分分析(PCA)显示三个品种之间有明显分离,第一主成分(PC-1)和第二主成分(PC-2)分别解释了73.9%和23.1%的变异。PCA和ROAV均有助于鉴定与感官评价呈正相关的化合物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5b1f/7020304/7d23ec36a399/FSN3-8-903-g001.jpg

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