Weijiang Sun

Dr. Weijiang Sun


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2019 in Food Chemistry
Verified
Journal Article
Closed access
WYWenjie Yue
Wenjie Yue
WSWeijiang Sun
Weijiang Sun
RRR. Shyama Prasad Rao
R. Shyama Prasad Rao
NYNaixing Ye
Naixing Ye
ZYZhenbiao Yang
Zhenbiao Yang
LLLin Lin
Lin Lin

31 May 2024 in Food Chemistry
Verified
Journal Article
Closed access
YLYilin Liang
Yilin Liang
Zhihui WangZhihui Wang
Zhihui Wang
LZLingzhi Zhang
Lingzhi Zhang
HDHaomin Dai
Haomin Dai
WWWeiwei Wu
Weiwei Wu
WSWeijiang Sun
Weijiang Sun

5 December 2023 in Food Chemistry
Verified
Journal Article
Closed access
Zhihui WangZhihui Wang
Zhihui Wang
CGChenxi Gao
Chenxi Gao
JZJiamin Zhao
Jiamin Zhao
JZJialin Zhang
Jialin Zhang
ZZZhiqiang Zheng
Zhiqiang Zheng
WSWeijiang Sun
Weijiang Sun

10 October 2023 in Food Chemistry
Verified
Journal Article
Closed access
Zhihui WangZhihui Wang
Zhihui Wang
YLYilin Liang
Yilin Liang
CGChenxi Gao
Chenxi Gao
WWWeiwei Wu
Weiwei Wu
JKJiumei Kong
Jiumei Kong
WSWeijiang Sun
Weijiang Sun

24 March 2022 in Horticulturae
Verified
Journal Article
Open access
PDF file
Zhihui WangZhihui Wang
Zhihui Wang
SGShuang Gan
Shuang Gan
WSWeijiang Sun
Weijiang Sun
ZXZhihui Xue
Zhihui Xue
Regionality is a term used in the tea industry to describe the particular style of tea produced by a growing region. Determining the characteristics of the tea of specific regions can help growers predict tea plant quality before harvesting and eventually production. As such, in this study, we collected representative Oolong tea samples from 15 regions in 8 countries. Quantitative description analysis (QDA) and a flavor wheel were used to analyze their sensory characteristics. Chemometrics was used to screen the phytochemical components that significantly contribute to the taste of Oolong tea. We preliminarily obtained 35 sensory characteristic descriptors and constructed a flavor wheel for Oolong tea. We found that Oolong tea in each region has unique sensory quality characteristics. The content of thirteen phytochemical components of Oolong tea in different regions widely varied, and the average coefficient of variation was 45.56%. Among of them, we found the largest difference in free amino acids. We identified the relationship between taste sub-attributes, and the thirteen phytochemical components was found through correlation analysis. Finally, we selected phytochemical components with significant effects on five taste sub-attributes that were selected from the thirteen detected phytochemical components. The construction of the Oolong tea flavor wheel can help realize the qualitative and quantitative sensory evaluation of Oolong tea from different origins and contribute to the quality identification and directional improvement of Oolong tea products.

19 December 2022 in Frontiers in Nutrition
Verified
Journal Article
Open access
Zhihui WangZhihui Wang
Zhihui Wang
ZWZhihua Wang
Zhihua Wang
HDHaomin Dai
Haomin Dai
SWShaoling Wu
Shaoling Wu
BSBo Song
Bo Song
WSWeijiang Sun
Weijiang Sun
Compressed white tea (CWT) is a reprocessed tea of white tea. Long-term storage has greatly changed its aroma characteristics, but the material basis and transformation mechanism of its unique aroma are still unclear. In this study, flavor wheel, headspace gas chromatography ion mobility spectroscopy, chemometrics, and microbiomics were applied to study the flavor evolution and important aroma components during long-term storage of CWT, and core functional bacteria were screened. During long-term storage, the aroma of CWT gradually changed from sweet, fruity and floral to stale flavor, woody and herbal. A total of 56 volatile organic compounds (VOCs) were identified, 54 of which were significantly differences during storage. The alcohols content was the highest during 1–5 years of storage, the esters content was the highest during 7–13 years of storage, and the aldehydes content was the highest during 16 years of storage. Twenty-nine VOCs were identified as important aroma components, which were significantly correlated with 6 aroma sub-attributes (P < 0.05). The functional prediction of bacterial community reminded that bacterial community could participate in the transformation of VOCs during storage of CWT. Twenty-four core functional bacteria were screened, which were significantly associated with 29 VOCs. Finally, 23 characteristic differential VOCs were excavated, which could be used to identify CWT in different storage years. Taken together, these findings provided new insights into the changes in aroma characteristics during storage of CWT and increased the understanding of the mechanism of characteristic aroma formation during storage.