CSpace

浏览/检索结果: 共5条,第1-5条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
A comprehensive review on current status, mechanism, and possible sources of arsenic contamination in groundwater: a global perspective with prominence of Pakistan scenario 期刊论文
ENVIRONMENTAL GEOCHEMISTRY AND HEALTH, 2019, 卷号: 41, 期号: 2, 页码: 737-760
作者:  Ali, Watiar;  Rasool, Atta;  Junaid, Muhammad;  Zhang, Hua
Adobe PDF(1650Kb)  |  收藏  |  浏览/下载:215/0  |  提交时间:2019/06/24
Arsenic  Groundwater  Sources  Mechanisms  Isotope evidence  Comparison  Health effects  
Nanotoxicity of different sizes of graphene (G) and graphene oxide (GO) in vitro and in vivo 期刊论文
ENVIRONMENTAL POLLUTION, 2019, 卷号: 247, 页码: 595-606
作者:  Jia, Pan-Pan;  Sun, Tai;  Junaid, Muhammad;  Yang, Li;  Ma, Yan-Bo;  Cui, Zhi-Song;  Wei, Da-Peng;  Shi, Hao-Fei;  Pei, De-Sheng
Adobe PDF(5031Kb)  |  收藏  |  浏览/下载:294/0  |  提交时间:2019/04/18
Graphene  Graphene oxide  Cytotoxicity  Anti-bacterial property  Zebrafish  
Functions of traditional ponds in altering sediment budgets in the hilly area of the Three Gorges Reservoir, China 期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 卷号: 658, 页码: 537-549
作者:  Lu, Mingquan;  Ma, Maohua;  Wang, Yu;  Chen, Chundi;  Chen, Jilong;  Wu, Shengjun
Adobe PDF(3537Kb)  |  收藏  |  浏览/下载:362/0  |  提交时间:2019/03/01
Sediment yield  Multi-pond system  WaTEM/SEDEM  Three Gorges reservoir area  Unmanned aerial vehicles imagery  
Sensitive colorimetric detection for lysozyme based on the capture of a fixed thiol-aptamer on gold nanoparticles 期刊论文
NEW JOURNAL OF CHEMISTRY, 2019, 卷号: 43, 期号: 11, 页码: 4531-4538
作者:  Xie, Yuanyang;  Huang, Yu;  Tang, Dongyun;  Cui, Hongliang;  Yang, Lizhu;  Cao, Haiyan;  Yun, Wen
Adobe PDF(1022Kb)  |  收藏  |  浏览/下载:179/0  |  提交时间:2019/04/18
Quantitative Analysis of Immunochromatographic Strip Based on Convolutional Neural Network 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 16257-16263
作者:  Zeng, Nianyin;  Li, Han;  Li, Yurong;  Luo, Xin
Adobe PDF(4383Kb)  |  收藏  |  浏览/下载:167/0  |  提交时间:2019/03/25
Gold immunochromatographic strip  quantitative analysis  image segmentation  CNN