Xin Liu

Xin Liu


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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1 January 2018 in Journal of Chromatography A
Verified
Journal Article
Closed access
GMGuicen Ma
Guicen Ma
MZMinglu Zhang
Minglu Zhang
LZLi Zhu
Li Zhu
HCHongping Chen
Hongping Chen
XLXin Liu
Xin Liu
CLChengyin Lu
Chengyin Lu

1 June 2020 in Food Chemistry
Verified
Journal Article
Closed access
JDJinxia Dai
Jinxia Dai
CJChangling Jiang
Changling Jiang
GGGuanwei Gao
Guanwei Gao
LZLi Zhu
Li Zhu
YCYunfeng Chai
Yunfeng Chai
XLXin Liu
Xin Liu

1 August 2019 in Journal of Chromatography A
Verified
Journal Article
Closed access
JDJinxia Dai
Jinxia Dai
Hong-Ping ChenHong-Ping Chen
Hong-Ping Chen
GGGuanwei Gao
Guanwei Gao
LZLi Zhu
Li Zhu
YCYunfeng Chai
Yunfeng Chai
XLXin Liu
Xin Liu

1 April 2021 in Food Chemistry
Verified
Journal Article
Closed access
ZHZhenxia Hao
Zhenxia Hao
QZQinqin Zheng
Qinqin Zheng
LJLili Jin
Lili Jin
SZSujuan Zhou
Sujuan Zhou
Hong-Ping ChenHong-Ping Chen
Hong-Ping Chen
CLChengyin Lu
Chengyin Lu

7 December 2015 in Journal of Separation Science
Verified
Journal Article
Closed access
PDF file
MZMinglu Zhang
Minglu Zhang
HCHongping Chen
Hongping Chen
LZLi Zhu
Li Zhu
CWChuanpi Wang
Chuanpi Wang
GMGuicen Ma
Guicen Ma
XLXin Liu
Xin Liu

16 July 2019 in The Analyst
Verified
Journal Article
Closed access
PDF file
MZMinglu Zhang
Minglu Zhang
GMGuicen Ma
Guicen Ma
LZLin Zhang
Lin Zhang
HCHongping Chen
Hongping Chen
LZLi Zhu
Li Zhu
XLXin Liu
Xin Liu
Chitosan-reduced graphene oxide composites with 3D structures (3D CS-rGO) were prepared via a facile solvothermal synthetic strategy. The reduction of GO and crosslinking of rGO nanosheets with CS into 3D structures were achieved simultaneously in one step. The resulting 3D CS-rGO composite achieves high adsorption capacities of catechins, caffeine and pigments from tea acetonitrile extraction, especially for catechins, which is 10 times higher than that of GO (179.3 mg g−1vs. 18.7 mg g−1). The 3D CS-rGO composite exhibits the best removal efficiency of matrix interference in comparison to other traditional adsorbents, which could diminish the matrix effect on targeted pesticides by 1%–55%. A determination method of 70 kinds of pesticides is successfully established for tea based on 3D CS-rGO composite as an efficient reverse dispersed solid phase extraction adsorbent. The established method has the great advantages of operation simplicity, being time saving and high purification performance using only one kind and a low amount of adsorbent. 3D graphene based materials are expected to be promising adsorbents for sample pretreatment in trace contaminant analysis of complex food samples.