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A Hierarchically Porous Metal-Organic Framework from Semirigid Ligand for Gas Adsorption 被引量:4
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作者 Lizhen Liu Yingxiang Ye +7 位作者 Zizhu Yao Liuqin Zhang Ziyin Li Lihua Wang xiuling ma Qian-Huo Chen Zhangjing Zhang Shengchang Xiang 《Chinese Journal of Chemistry》 SCIE CAS CSCD 2016年第2期215-219,共5页
Hierarchically porous materials play an important role in facilitating mass transport and improving efficiency of adsorption and separation processes. In this paper, a new strategy is proposed to realize a hierarchica... Hierarchically porous materials play an important role in facilitating mass transport and improving efficiency of adsorption and separation processes. In this paper, a new strategy is proposed to realize a hierarchically porous metal-organic framework ([Cu2(OH)(L)]'(DMF)0.8 (FJU-11, H3L=3,5-(4-carboxybenzyloxy)benzoic acid, DMF= N,N-dimethylformamide) via using semi-rigid multi-carboxylic acids. Interestingly, FJU-11 possesses the large adsorption capacities and small isosteric heats toward CO2. The column breakthrough experiment for FJU-11 highlights its potential application in the separation of the flue gas. 展开更多
关键词 metal-organic frameworks hierarchical pore semirigid ligand gas sorption column breakthrough experiment
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Variation of the Vaginal Microbiome During and After Pregnancy in Chinese Women 被引量:3
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作者 Xiaoai Zhang Qingzhi Zhai +6 位作者 Jinfeng Wang xiuling ma Bo Xing Hang Fan Zhiying Gao Fangqing Zhao Wei Liu 《Genomics, Proteomics & Bioinformatics》 SCIE CAS CSCD 2022年第2期322-333,共12页
A comprehensive profiling of the vaginal microbial communities and their variability enables an accurate description of the microbiome in women.However,there is a lack of studies available on Chinese women.In the pres... A comprehensive profiling of the vaginal microbial communities and their variability enables an accurate description of the microbiome in women.However,there is a lack of studies available on Chinese women.In the present study,the composition of the vaginal microbiota during pregnancy and the 6-week postpartum period of 454 Chinese women was characterized by sequencing the V3-V4 region of the 16S ribosomal RNA(rRNA)gene.The vaginal microbiome showed variations during pregnancy and the postpartum period based on the abortion history,hypertensive disorders,delivery mode,and maternal age.Co-variation of 22 bacterial taxa,including the Lactobacillus genus and two of its species,may account for the common characteristics of the vaginal microbiome under scenarios of different medical histories and pregnancy outcomes.In contrast,discriminant bacterial species were significantly different between women who had preterm birth(PTB)with and without premature rupture of membranes(PROM),and the community state type(CST)IV-A without any predominant Lactobacillus species in the microbiota was more prevalent during pregnancy in the PROM-PTB cases,suggesting that specific bacterial species could be considered to distinguish between different types of PTB.By providing data on Chinese women,this study will enrich the knowledge of the human microbiome and contribute to a better understanding of the association between the vaginal microbiome and reproductive health. 展开更多
关键词 Chinese pregnant women Vaginal microbiota POSTPARTUM Pregnancy complication Premature rupture of membranes Preterm birth
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The oral microbiome of pregnant women facilitates gestational diabetes discrimination 被引量:3
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作者 Xiaoqing Li Jiayong Zheng +12 位作者 xiuling ma Bing Zhang Jinyang Zhang Wenhuan Wang Congcong Sun Yeping Wang Jianqiong Zheng Haiying Chen Jiejing Tao Hai Wang Fengyi Zhang Jinfeng Wang Hongping Zhang 《Journal of Genetics and Genomics》 SCIE CAS CSCD 2021年第1期32-39,共8页
The oral microbiota plays an important role in the development of various diseases,whereas its association with gestational diabetes mellitus (GDM) remains largely unclear.The aim of this study is to identify biomarke... The oral microbiota plays an important role in the development of various diseases,whereas its association with gestational diabetes mellitus (GDM) remains largely unclear.The aim of this study is to identify biomarkers from the oral microbiota of GDM patients by analyzing the microbiome of the saliva and dental plaque samples of 111 pregnant women.We find that the microbiota of both types of oral samples in GDM patients exhibits differences and significantly varies from that of patients with periodontitis or dental caries.Using bacterial biomarkers from the oral microbiota,GDM classification models based on support vector machine and random forest algorithms are constructed.The area under curve (AUC) value of the classification model constructed by combination of Lautropia and Neisseria in dental plaque and Streptococcus in saliva reaches 0.83,and the value achieves a maximum value of 0.89 by adding clinical features.These findings suggest that certain bacteria in either saliva or dental plaque can effectively distinguish women with GDM from healthy pregnant women,which provides evidence of oral microbiome as an informative source for developing noninvasive biomarkers of GDM. 展开更多
关键词 Gestational diabetes mellitus Oral microbiome SALIVA Dental plaque Classification model
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