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羊肚菌挥发性物质综合评价和品质差异分析 被引量:10

Comprehensive Evaluation of Volatile Substances and Quality Differences of Morchella importuna Samples
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摘要 以20个羊肚菌样品为研究对象,采用顶空固相微萃取-气相色谱-质谱法对供试的20个羊肚菌样品挥发性物质进行定性定量分析,并通过主成分分析和聚类分析对挥发性物质进行判定、区分和聚集。结果表明:气相色谱-质谱检测得到羊肚菌样品富含81种挥发性物质,包含8类挥发性物质,其中醇类、醛类和酮类占总含量的60%~80%,含有24种共有物质;对共有物质进行主成分分析可简化为6个主成分,累计方差贡献率达90.081%,可反映样品的大部分信息;通过主成分分析和聚类分析将羊肚菌样品分为2类:样品4归为1个集群,其余样品归为1个集群,聚集在一起的样品香味相似,可为品种选育和后期的生产加工提供参考。 In this study, headspace solid phase microextraction-gas chromatography-mass spectrometry was used to analyze the volatile components of 20 samples of Morchella importuna, and principal component analysis(PCA) and cluster analysis(CA) were applied to analyze the data obtained. The results showed that the samples were rich in 81 volatile substances,including 8 classes of volatile substances, with alcohols, aldehydes and ketones accounting for 60%–80% of the total amount. A total of 24 volatile substances were common to these mushroom samples. PCA performed on the 24 volatile substances generated 6 principal components, explaining 90.081% of the total variance, which could reflect most of the sample information. By PCA and CA, the samples of M. importuna were divided into two categories, of which sample 4 was classified into one cluster, and the remaining samples into the other cluster. The samples within the same cluster had similarflavor. The results from this study provide a basis for species screening and further processing of Morchella.
作者 兰秀华 谢丽源 许瀛引 彭卫红 甘炳成 LAN Xiuhua;XIE Liyuan;XU Yingyin;PENG Weihong;GAN Bingcheng(Soil and Fertilizer Research Institute,Sichuan Academy of Agricultural Sciences,Chengdu 610066,China;Center for Informational Biology,School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu 610054,China)
出处 《食品科学》 EI CAS CSCD 北大核心 2019年第14期270-275,共6页 Food Science
基金 四川省科技计划项目(2017NZ0006) 现代农业(食用菌)产业技术体系建设专项(CARS-20)
关键词 羊肚菌 挥发性物质 顶空固相微萃取-气相色谱-质谱法 主成分分析 聚类分析 Morchella importuna volatile components headspace soild phase micro-extraction-gas chromatography-mass spectrometry principal component analysis cluster analysis
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