Chen Zhang

Dr. Chen Zhang


Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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17 October 2016 in Food & Function
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Journal Article
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Zhibin LiuZhibin Liu
Zhibin Liu
ZCZhichao Chen
Zhichao Chen
HGHongwen Guo
Hongwen Guo
DHDongping He
Dongping He
HZHuiru Zhao
Huiru Zhao
LNLi Ni
Li Ni
Tea consumption has been identified to have an anti-obesity effect. Whether it is associated with gut microbiota modulation is investigated in this study. Phenolic profiles of infusions of green tea, oolong tea and black tea were comprehensively compared first, by utilizing ultra-performance liquid chromatography-electrospray ionization-quadrupole time-of-flight mass spectrometry (UPLC-ESI-Q-TOFMS). Subsequently, high-fat-diet induced obese C57BL/6J mice were orally administered these three types of tea infusions for 13 weeks to evaluate their anti-obesity and gut microbiota modulatory effects. In general, 8 phenolic acids, 12 flavanols, 9 flavonols, 2 alkaloids and 1 amino acid were identified from the three types of tea infusions. Though they possess diverse phenolic compounds, no significant differences in the prevention of the development of obesity in high-fat-fed mice were discovered among the three types of tea. Based on high-throughput MiSeq sequencing and multivariate statistical analysis, it was revealed that tea infusion consumption substantially increased diversity and altered the structure of gut microbiota. The linear discriminant analysis effect size algorithm identified 30 key phylotypes in response to high-fat diet and tea, including Alistipes, Rikenella, Lachnospiraceae, Akkermansia, Bacteroides, Allobaculum, Parabacteroides, etc. Moreover, Spearman's correlation analysis indicated that these key phylotypes might have a close association with the obesity related indexes of the host. This study provides detailed information regarding the impact of tea consumption on gut microbiota, which may be helpful in understanding the anti-obesity mechanisms of tea.

1 August 2014 in Biomass and Bioenergy
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Journal Article
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CZChen Zhang
Chen Zhang
JSJohan P.M. Sanders
Johan P.M. Sanders
MBMarieke E. Bruins
Marieke E. Bruins

1 January 2020 in Food Hydrocolloids
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Journal Article
Closed access
CZChen Zhang
Chen Zhang
XZXiuxiu Zhu
Xiuxiu Zhu
FZFeipeng Zhang
Feipeng Zhang
XYXin Yang
Xin Yang
LNLi Ni
Li Ni
YZYanyan Zhang
Yanyan Zhang

1 June 2016 in Analytical Biochemistry
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Journal Article
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CZChen Zhang
Chen Zhang
MBMarieke E. Bruins
Marieke E. Bruins
ZYZhi-Qiang Yang
Zhi-Qiang Yang
SLShu-Tao Liu
Shu-Tao Liu
PRPing-Fan Rao
Ping-Fan Rao


22 July 2015 in PLOS ONE
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Journal Article
Open access
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CZChen Zhang
Chen Zhang
JSJohan P. M. Sanders
Johan P. M. Sanders
TXTing T. Xiao
Ting T. Xiao
MBMarieke E. Bruins
Marieke E. Bruins
Leaf protein can be obtained cost-efficiently by alkaline extraction, but overuse of chemicals and low quality of (denatured) protein limits its application. The research objective was to investigate how alkali aids protein extraction of green tea leaf residue, and use these results for further improvements in alkaline protein biorefinery. Protein extraction yield was studied for correlation to morphology of leaf tissue structure, protein solubility and hydrolysis degree, and yields of non-protein components obtained at various conditions. Alkaline protein extraction was not facilitated by increased solubility or hydrolysis of protein, but positively correlated to leaf tissue disruption. HG pectin, RGII pectin, and organic acids were extracted before protein extraction, which was followed by the extraction of cellulose and hemi-cellulose. RGI pectin and lignin were both linear to protein yield. The yields of these two components were 80% and 25% respectively when 95% protein was extracted, which indicated that RGI pectin is more likely to be the key limitation to leaf protein extraction. An integrated biorefinery was designed based on these results.