Xia Chen

Prof. Dr. Xia Chen

National & Local United Engineering Laboratory for Chinese Herbal Medicine Breeding and Cultivation, School of Life Sciences, Jilin University

Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

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

Representative Publications

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9 March 2012 in World Journal of Microbiology and Biotechnology
Verified
Journal Article
Closed access
PDF file
XQXiaojuan Qi
Xiaojuan Qi
EWEnsi Wang
Ensi Wang
MXMing Xing
Ming Xing
WZWei Zhao
Wei Zhao
XCXia Chen
Xia Chen

1 April 2019 in Chemical Engineering Journal
Verified
Journal Article
Closed access
JLJinjie Li
Jinjie Li
YLYanbing Lv
Yanbing Lv
NLNing Li
Ning Li
RWRuili Wu
Ruili Wu
MXMing Xing
Ming Xing
XCXia Chen
Xia Chen

24 July 2020 in Scientific Reports
Verified
Journal Article
Open access
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MTMingze Tang
Mingze Tang
LLLin Li
Lin Li
XWXiaolong Wang
Xiaolong Wang
JYJian You
Jian You
JLJiangnan Li
Jiangnan Li
XCXia Chen
Xia Chen
To reveal the self-coordination mechanism of the fragile ecosystem of alpine tundra, we explored the relationship between soil microorganisms and other elements. On the alpine tundra of the Changbai Mountain, different vegetation types, altitudes and soil properties were selected as driving factors of soil microbial community. Soil microbial community, C- and N-cycling functional microbial and fungal biomass were analyzed. Structural equation model was used to study the control of biotic and abiotic factors in rhizosphere soil microbial community. The results showed that the pH value of soil had the strongest direct impact on the diversity and community structure of soil microorganisms, and had significant correlation with most of the C- and N-cycling functional microbial; organic carbon and vegetation also have strongest direct effect on fungal biomass, but all of them were not main factors influence soil microbial community structure, the elevation was the main controlling factor. In addition, the elevation mainly through indirect action affects the soil microbial community by driving distribution of plant species, soil organic carbon and pH value. This finding highlighted that elevation was the main predictor to determine rhizosphere microbial community structure but not vegetation in alpine tundra of Changbai Mountain.

28 August 2018 in Frontiers in Chemistry
Verified
Journal Article
Open access
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HYHan Yu
Han Yu
GTGuimin Tian
Guimin Tian
WXWeiwei Xu
Weiwei Xu
SWShengwei Wang
Shengwei Wang
HZHuaikang Zhang
Huaikang Zhang
XCXia Chen
Xia Chen
In this paper, high quality green-emitting CsPbBr3 quantum dots (QDs) are successfully synthesized by hot-injection method. Different injection temperatures are tested to optimize the synthesis conditions. High brightness with the photoluminescence (PL) quantum yields (QYs) up to 90% and narrow size-distribution with the full width at half-maximum (FWHM) of 18.5 nm are obtained under the optimized conditions. Green light emitting diodes (LEDs) based on the CsPbBr3 QDs are successfully demonstrated by combining solution method with vapor deposition method. Composite films of poly[9,9-dioctylfluorene-co- N-[4-(3-methylpropyl)]-diphenylamine] (TFB) and bathocuproine (BCP) layers are chosen as the hole-transporting and the electron-transporting layers, respectively. The highly bright green QD-based light-emitting devices (QLEDs) showing maximum luminance up to 46,000 cd/m2 with a low turn on voltage of 2.3 V, and peak external quantum efficiency (EQE) of 5.7%, corresponding to 19.9 cd/A in luminance efficiency. These devices also show high color purity for electroluminescence (EL) with FWHM <20 nm, and no redshift and broadening with increasing voltage as well as a spectral match between PL and EL.

22 February 2012 in Plant Systematics and Evolution
Verified
Journal Article
Closed access
PDF file
YLYan-Fei Liu
Yan-Fei Liu
MXMing Xing
Ming Xing
WZWei Zhao
Wei Zhao
RFRong-Jun Fan
Rong-Jun Fan
SLSu Luo
Su Luo
XCXia Chen
Xia Chen

11 November 2014 in PLOS ONE
Verified
Journal Article
Open access
PDF file
WZWei Zhao
Wei Zhao
XSXiaozheng Shi
Xiaozheng Shi
JLJiangnan Li
Jiangnan Li
WGWei Guo
Wei Guo
CLChengbai Liu
Chengbai Liu
XCXia Chen
Xia Chen
Rhodiola sachalinensis is an endangered species with important medicinal value. We used inter-simple sequence repeat (ISSR) and methylation-sensitive amplified polymorphism (MSAP) markers to analyze genetic and epigenetic differentiation in different populations of R. sachalinensis, including three natural populations and an ex situ population. Chromatographic fingerprint was used to reveal HPLC fingerprint differentiation. According to our results, the ex situ population of R. sachalinensis has higher level genetic diversity and greater HPLC fingerprint variation than natural populations, but shows lower epigenetic diversity. Most genetic variation (54.88%) was found to be distributed within populations, and epigenetic variation was primarily distributed among populations (63.87%). UPGMA cluster analysis of ISSR and MSAP data showed identical results, with individuals from each given population grouping together. The results of UPGMA cluster analysis of HPLC fingerprint patterns was significantly different from results obtained from ISSR and MSAP data. Correlation analysis revealed close relationships among altitude, genetic structure, epigenetic structure, and HPLC fingerprint patterns (R2 = 0.98 for genetic and epigenetic distance; R2 = 0.90 for DNA methylation level and altitude; R2 = –0.95 for HPLC fingerprint and altitude). Taken together, our results indicate that ex situ population of R. sachalinensis show significantly different genetic and epigenetic population structures and HPLC fingerprint patterns. Along with other potential explanations, these findings suggest that the ex situ environmental factors caused by different altitude play an important role in keeping hereditary characteristic of R. sachalinensis.