文献类型：期刊文献

英文题名：Characterization of Aroma Volatiles in Camellia Seed Oils (Camellia oleifera AbeL) by HS-SPME/GC/MS and Electronic Nose Combined with Multivariate Analysis

作者：Cao, Wenming[1] Lin, Lang[1] Niu, Yunwei[1] Xiao, Zuobing[1] Fang, Xuezhi[2]

第一作者：Cao, Wenming

通信作者：Niu, YW[1]

机构：[1]Shanghai Inst Technol, Sch Perfume & Aroma Technol, Shanghai 201418, Peoples R China;[2]Chinese Acad Forestry, Res Inst Subtrop Forestry, Fuyang 311400, Peoples R China

年份：2016

卷号：22

期号：4

起止页码：497-505

外文期刊名：FOOD SCIENCE AND TECHNOLOGY RESEARCH

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000396803700011)】；

基金：The research was supported by the National Youth Science Foundation of China (No. 21306114), The National Key Technology R&D Program (2011BAD23B01) and Shanghai Engineering Technology Research Center of Fragrance and Flavor (12DZ2251400).

语种：英文

外文关键词：camellia seed oil; aroma compounds; HS-SPME/GC/MS; electronic nose

摘要：Volatile compounds of Camellia seed oils from 5 different varieties were characterized by headspace solid phase microextraction/ gas chromatography/mass spectrometry (HS-SPME/GC/MS). Four parameters of SPME were optimized and the best extraction conditions were: 50/30 mu m DVB/CAR/PDMS fiber, 45 degrees C and 45 min of SPME, and 4.00 g sample size. Forty-six volatiles were identified, including 16 aldehydes, 10 alcohols, 4 acids, 7 ketones, 3 terpenes and 6 esters. Further correlation analysis between aroma compounds and sensory attributes revealed pentanal, hexanal, (E)-2-hexenal, octanal, (E)-2-heptenal, nonanal, (E)-2-octenal, (E)-2-decenal, (E,E)-2,4-heptadienal, 2-hexanol, 2-heptanol, hexanol, octanol, acetic acid, pentanoic acid, 1-p-menthene, limonene, gamma-terpinene, ethyl-2-methylbutanoate, 2-methylbutyl acetate, ethyl 2-methyl-2-butenoate, gamma-butyrolactone, gamma-hexalactone were the important characteristic aroma compounds of Camellia seed oils. Additionally, electronic nose (e-nose) was applied to analyze the aroma of Camellia seed oils. HS-SPME/GC/MS and e-nose techniques combined with multivariate analysis can be used to distinguish between different Camellia seed oils.