Quanzeng Wei

Prof. Quanzeng Wei


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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1 August 2013 in Food Research International
Verified
Journal Article
Closed access
QWQuanzeng Wei
Quanzeng Wei
HWHongbin Wang
Hongbin Wang
ZLZhijia Lv
Zhijia Lv
GHGuang Hu
Guang Hu
YLYu Li
Yu Li
FLFuping Lu
Fuping Lu

1 January 2022 in LWT
Verified
Journal Article
Open access
QWQuanzeng Wei
Quanzeng Wei
GLGaixin Liu
Gaixin Liu
CZChengli Zhang
Chengli Zhang
JSJuntao Sun
Juntao Sun
YZYongqing Zhang
Yongqing Zhang

7 July 2023 in Molecules
Verified
Journal Article
Open access
PDF file
YZYongqing Zhang
Yongqing Zhang
JWJiaojiao Wang
Jiaojiao Wang
HTHuihui Tan
Huihui Tan
XLXinyue Lu
Xinyue Lu
DWDe-Guo Wang
De-Guo Wang
QWQuanzeng Wei
Quanzeng Wei
This study aimed to improve the steaming process of black sesame seeds. A comprehensive evaluation was conducted using the grey-correlation method based on the variation-coefficient weight to observe the treatments of normal-pressure (NPS) and high-pressure (HPS) steaming (with/without soaking in water) for nine cycles. Their effects on the contents of water, protein, fat, ash, melanin, sesamin, and sesamolin of black sesame seeds, as well as the sensory score of the black sesame pill, were determined. We found that with varied steaming methods and increased steaming cycles, the contents of the nutritional and functional components of black sesame seeds and the sensory score of the black sesame pill differed. The results of the variation-coefficient method showed that water, protein, fat, ash, melanin, sesamin, sesamolin, and sensory score had different effects on the quality of black sesame seeds with weighting factors of 34.4%, 5.3%, 12.5%, 11.3%, 13.9%, 11.3%, 7.8%, and 3.5%, respectively. The results of two-factor analysis of variance without repeated observations indicated that the grey-correlation degree of HPS was the largest among the different steaming treatments, and the following sequence was HPS after soaking in water (SNPS), NPS, and SNPS. There was no significant difference between NPS and SNPS (p < 0.05). Moreover, with increased cycles, the value of the grey-correlation degree increased. The comprehensive score of the procedure repeated nine times was significantly higher than other cycles (p < 0.05). The results of the grey-correlation degree and grade analysis showed that the best steaming process of black sesame seeds was HPS for nine cycles, followed by HPS for eight cycles and NPS after soaking in water (SNPS) for nine cycles. These findings could provide a scientific basis for replacing SNPS with HPS to simplify steaming and realize the parametric steaming of black sesame seeds, and thus, ensure the quality of black-sesame products.

22 May 2020 in European Food Research and Technology
Verified
Journal Article
Closed access
PDF file
QWQuanzeng Wei
Quanzeng Wei
MWMingming Wu
Mingming Wu
FXFugang Xiao
Fugang Xiao
DWDeguo Wang
Deguo Wang

17 September 2024 in Food Control
Verified
Journal Article
Closed access
QWQuanzeng Wei
Quanzeng Wei
JFJingjing Fang
Jingjing Fang
CZChengli Zhang
Chengli Zhang
WMWenjing Ma
Wenjing Ma