Sensory evaluation, physicochemical properties and aroma-active profiles in a diverse collection of Chinese bayberry (Myrica rubra) cultivars

文献类型: 外文期刊

第一作者: Cheng, Huan

作者: Cheng, Huan;Chen, Jianle;Chen, Shiguo;Liu, Donghong;Ye, Xingqian;Xia, Qile

作者机构:

关键词: Bayberry (Myrica rubra);Gas chromatography-mass spectrometry-olfactometry (GC-MS-O);Principal component analysis (PCA);Physiochemical compounds;Aroma-active compounds

期刊名称:FOOD CHEMISTRY ( 影响因子:7.514; 五年影响因子:7.516 )

ISSN:

年卷期:

页码:

收录情况: SCI

摘要: The present study aimed to differentiate the flavor (taste and odor) profiles of 11 Chinese bayberry cultivars (Myrica rubra). The physicochemical analysis for taste indicated the bayberry cultivars were quite different in soluble sugars, organic acids, color, total phenolics and anthocyanin contents. Sucrose was the main soluble sugar in bayberry fruit. Principal component analysis (PCA) of physicochemical properties indicated bayberries could be divided into 5 groups, and the Bi qi cultivar contained the highest brix/acid ratio demonstrating the sweetest taste. PCA of aroma-active profile for odor (analyzed by SPME-GC-MS-O) indicated bayberries could be divided into 3 groups: alpha-pinene ("pine" odor) for group 1 (four cultivars), beta-caryophyllene and isocaryophyllene ("woody" odor) for group 2 (six cultivars), and ethyl acetate ("overripe" odor) for group 3 (one cultivar). Our research on the physicochemical and active-aroma of 11 bayberry cultivars will help to select suitable cultivars to increase consumer satisfaction. (C) 2016 Elsevier Ltd. All rights reserved.

分类号: TS2`TS201.2

  • 相关文献

[1]Water quality of a tributary of the Pearl River, the Beijiang, Southern China: implications from multivariate statistical analyses. Song, Ming W.,Huang, Ping,Zhang, Hui,Li, Feng,Xie, Kai Z.,Wang, Xi H.,He, Guo X.. 2011

[2]Interpreting RADARSAT-2 Quad-Polarization SAR Signatures From Rice Paddy Based on Experiments. Yang, Shenbin,Zhao, Xiaoyan,Hua, Guoqiang,Li, Bingbai. 2012

[3]Monitoring Freeze Stress Levels on Winter Wheat from Hyperspectral Reflectance Data Using Principal Component Analysis. Wang Hui-fang,Huo Zhi-guo,Wang Hui-fang,Wang Ji-hua,Dong Ying-ying,Gu Xiao-he. 2014

[4]HYPERSPECTRAL IMAGE FOR DISCRIMINATING APHID AND APHID DAMAGE REGION OF WINTER WHEAT LEAF. Luo Juhua,Huang Wenjiang,Guan Qingsong,Zhao Jinling,Zhang Jingcheng. 2013

[5]Analysis of Volatiles during Grape Deterioration Using FTIR. Wang Wenzhong,Dong Daming,Zheng Wengang,Jiao Leizi,Zhao Xiande,Wang Wenzhong,Han Junfeng,Ye Song. 2013

[6]Source Apportionment of PAHs Using Two Mathematical Models for Mangrove Sediments in Shantou Coastal Zone, China. Cao, Qimin,Chen, Guizhu,Cao, Qimin,Cao, Qimin,Cao, Qimin,Chen, Guizhu,Wang, Hua.

[7]Gas Chromatographic-Mass Spectrometry and Chemometric Analysis for Detection and Quantification of Paraffin in Beeswax. Chen, Fang,Chen, Lanzhen,Zhao, Jing,Xue, Xiaofeng,Wu, Liming,Zheng, Chuangmu.

[8]Genetic Analysis on Characteristics to Measure Drought Resistance Using Dongxiang Wild Rice (Oryza rufupogon Griff.) and Its Derived Backcross Inbred Lines Population at Seedling Stage. Hu Biao-lin,Zhang Tao,Wan Yong,Li Xia,Xie Jian-kun,Hu Biao-lin,Fu Xue-qin,Huang Yun-hong,Dai Liang-fang,Luo Xiang-dong,Xie Jian-kun. 2011

[9]Estimating rice brown spot disease severity based on principal component analysis and radial basis function neural network. Liu Zhan-yu,Huang Jing-feng,Tao Rong-xiang,Zhang Hong-zhi. 2008

作者其他论文 更多>>