Characterization of the volatile components in green tea by IRAE-HS-SPME/GC-MS combined with multivariate analysis-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Characterization of the volatile components in green tea by IRAE-HS-SPME/GC-MS combined with multivariate analysis

Published:2018-03-01 Issue:3 Volume:13 Page:e0193393
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Yang Yan-Qin^ORCID,Yin Hong-Xu,Yuan Hai-Bo,Jiang Yong-Wen,Dong Chun-Wang,Deng Yu-Liang

Funder

the Three Rural Six Project Foundation of Zhejiang Province

the National Natural Science Foundation of China

the Natural Science Foundation of Zhejiang Province

the Science and Technology Innovation Project of Chinese Academy of Agricultural Sciences

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference39 articles.

1. Identification of Potent Odorants in Different Green Tea Varieties Using Flavor Dilution Technique;K Kumazawa;Journal of Agricultural and Food Chemistry,2002

2. Black tea volatiles fingerprinting by comprehensive two-dimensional gas chromatography–Mass spectrometry combined with high concentration capacity sample preparation techniques: Toward a fully automated sensomic assessment;F Magagna;Food Chemistry,2017

3. SDE and SPME Analysis of Flavor Compounds in Jin Xuan Oolong Tea;E Sheibani;Journal of Food Science,2016

4. Evaluation of Chinese tea by the electronic nose and gas chromatography-mass spectrometry: Correlation with sensory properties and classification according to grade level;Z Qin;Food Research International,2013

5. Characterization of the Potent Odorants Contributing to the Characteristic Aroma of Chinese Green Tea Infusions by Aroma Extract Dilution Analysis;R Baba;Journal of Agricultural and Food Chemistry,2014

Cited by 40 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Light-Intensity-Affected Aroma Components of Green Tea during Leaf Spreading;Foods;2024-07-25

2. An Approach Sensory Analysis Using Targeted Sensors in Electronic Nose for Assessing Green Tea Quality;2024 International Seminar on Intelligent Technology and Its Applications (ISITIA);2024-07-10

3. Enhancing classification rate of electronic nose system and piecewise feature extraction method to classify black tea with superior quality;Scientific African;2024-06

4. Comparative Analysis of Metabolome and Transcriptome in Different Tissue Sites of Aquilaria sinensis (Lour.) Gilg;Molecules;2024-02-29

5. Comparative analysis of asparagus tea processing and flavor component analysis;LWT;2024-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3