首页> 外文期刊>Food research international >Characterization of aroma-active volatiles in three Chinese bayberry (Myrica rubra) cultivars using GC-MS-olfactometry and an electronic nose combined with principal component analysis
【24h】

Characterization of aroma-active volatiles in three Chinese bayberry (Myrica rubra) cultivars using GC-MS-olfactometry and an electronic nose combined with principal component analysis

机译:气相色谱-质谱-嗅觉法和电子鼻结合主成分分析法表征三种杨梅品种的香气活性挥发物

获取原文
获取原文并翻译 | 示例
           

摘要

Chinese bayberry (Myrica rubra Sieb. et Zucc.) is one of the most popular and valuable fruits in China because of its unique and exquisite flavor. In this study, headspace solid-phase micro-extraction (HS-SPME) coupled with gas chromatography-mass spectrometry and olfactometry (GC-MS-O) analyses were used to characterize the aroma-active profiles of the fruits from three different bayberry cultivars. The aim was to differentiate the bayberry cultivars by their aroma. Fifty-five volatile,components, composed of aldehydes (10), alcohols (9), esters (8), terpenes (17), and others (11), were identified by optimized HS-SPME/GC-MS. Meanwhile, 36 aromaactive compounds were detected by olfactometry using detection frequency analysis (DFA). Hexanal (grasslike), (E)-2-hexenal (green), nonanal (fruit, flower), 1-hexanol (flower), and isocaryophillene (wood) were identified mall three cultivars. Further principal component analysis (PCA) of the active aromas revealed their contributions to the odor differences among the bayberry cultivar groups. The BQbayberry was characterized by having a stronger "herb" odor, which is mainly caused by benzoic acid and methyl ester. DK bayberry had a stronger "grass" odor, which is mainly caused by 2,6-dimethy1-2,4,6-octatriene, while FHZ bayberry had a stronger "pine" odor, which is caused mainly by a-pinene. The GC-MS-O and electronic nose techniques, when combined with PCA, could be used to successfully distinguish between different bayberry cultivars. (C) 2015 Elsevier Ltd. All rights reserved.
机译:杨梅因其独特而精美的风味而成为中国最受欢迎和最有价值的水果之一。在这项研究中,顶空固相微萃取(HS-SPME)结合气相色谱-质谱和嗅觉分析(GC-MS-O)分析用于表征三种杨梅品种果实的香气活性特征。 。目的是通过其香气区分杨梅品种。通过优化的HS-SPME / GC-MS鉴定了由醛(10),醇(9),酯(8),萜烯(17)和其他(11)组成的55种挥发性成分。同时,使用检测频率分析(DFA)通过嗅觉法检测了36种芳香活性化合物。鉴定了三个品种的己醛(草样),(E)-2-己烯醛(绿色),壬醛(水果,花),1-己醇(花)和异嗜烯(木材)。活性香气的进一步主成分分析(PCA)显示了它们对杨梅品种组之间气味差异的贡献。 BQbayberry的特征是具有较强的“草”味,这主要是由苯甲酸和甲酯引起的。 DK杨梅具有较强的“草”味,这主要是由2,6-二甲基1-2,4,6-辛三烯引起的,而FHZ杨梅具有较强的“松木”味,这主要是由α-pine烯引起的。与PCA结合使用时,GC-MS-O和电子鼻技术可用于成功地区分不同的杨梅品种。 (C)2015 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Food research international》 |2015年第6期|8-15|共8页
  • 作者单位

    Zhejiang Univ, Zhejiang R&D Ctr Food Technol & Equipment, Zhejiang Key Lab Agrofood Proc, Coll Biosyst Engn & Food Sci,Fuli Inst Food Sci, Hangzhou 310058, Zhejiang, Peoples R China;

    Zhejiang Univ, Zhejiang R&D Ctr Food Technol & Equipment, Zhejiang Key Lab Agrofood Proc, Coll Biosyst Engn & Food Sci,Fuli Inst Food Sci, Hangzhou 310058, Zhejiang, Peoples R China;

    Zhejiang Univ, Zhejiang R&D Ctr Food Technol & Equipment, Zhejiang Key Lab Agrofood Proc, Coll Biosyst Engn & Food Sci,Fuli Inst Food Sci, Hangzhou 310058, Zhejiang, Peoples R China;

    Zhejiang Univ, Zhejiang R&D Ctr Food Technol & Equipment, Zhejiang Key Lab Agrofood Proc, Coll Biosyst Engn & Food Sci,Fuli Inst Food Sci, Hangzhou 310058, Zhejiang, Peoples R China;

    Zhejiang Univ, Zhejiang R&D Ctr Food Technol & Equipment, Zhejiang Key Lab Agrofood Proc, Coll Biosyst Engn & Food Sci,Fuli Inst Food Sci, Hangzhou 310058, Zhejiang, Peoples R China;

    Zhejiang Univ, Zhejiang R&D Ctr Food Technol & Equipment, Zhejiang Key Lab Agrofood Proc, Coll Biosyst Engn & Food Sci,Fuli Inst Food Sci, Hangzhou 310058, Zhejiang, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Bayberry (Myrica rubra); Gas chromatography-mass spectrometry-olfactometry (GC-MS-O); Principal component analysis (PCA); E-nose; Aroma-active;

    机译:杨梅;气相色谱-质谱-嗅觉法(GC-MS-O);主成分分析(PCA);电子鼻;香气活性;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号