Methane Recovery from Coal Bed Gas Using Modified Activated Carbons: A Combined Method for Assessing the Role of Functional Groups

2015 ◽  
Vol 29 (10) ◽  
pp. 6858-6865 ◽  
Author(s):  
Ziyi Li ◽  
Yingshu Liu ◽  
Chuanzhao Zhang ◽  
Xiong Yang ◽  
Jianliang Ren ◽  
...  
2013 ◽  
Vol 634-638 ◽  
pp. 1026-1030 ◽  
Author(s):  
Huan Chun Wang ◽  
Xiao Li Gou ◽  
Xiao Meng Lv

Two kinds of modified activated carbons were prepared by dipping with Zn(NO3)2 solution and by reducing in the atmosphere of N2 at high temperature respectively, which were characterized by FTIR,DSC,SEM and EDS. The surface structure was strongly changed in the process, along with the changes of chemical functional groups. The results of adsorption experiments revealed that the adsorbent capacities of UDMH gas at room temperature were enhanced obviously by modification compared with the raw activated carbon, especially dipped by transition metal solution. The mechanism probably involved was also discussed.


2013 ◽  
Vol 258-259 ◽  
pp. 77-83 ◽  
Author(s):  
Esther Vega ◽  
Jesús Lemus ◽  
Alba Anfruns ◽  
Rafael Gonzalez-Olmos ◽  
José Palomar ◽  
...  

2015 ◽  
Vol 32 (11) ◽  
pp. 2257-2263 ◽  
Author(s):  
Qianqian Guo ◽  
Wen Jing ◽  
Shangzeng Cheng ◽  
Zhanggen Huang ◽  
Dekui Sun ◽  
...  

2011 ◽  
Vol 21 (2) ◽  
pp. 181-184 ◽  
Author(s):  
Zhang Xianglan ◽  
Deng Shengfu ◽  
Liu Qiong ◽  
Zhang Yan ◽  
Cheng Lei

Author(s):  
Pierre Taberlet ◽  
Aurélie Bonin ◽  
Lucie Zinger ◽  
Eric Coissac

Chapter 10 “Environmental DNA for functional diversity” discusses the potential of environmental DNA to assess functional diversity. It first focuses on DNA metabarcoding and discusses the extent to which this approach can be used and/or optimized to retrieve meaningful information on the functions of the target community. This knowledge usually involves coarsely defined functional groups (e.g., woody, leguminous, graminoid plants; shredders or decomposer soil organisms; pathogenicity or decomposition role of certain microorganisms). Chapter 10 then introduces metagenomics and metatranscriptomics approaches, their advantages, but also the challenges and solutions to appropriately sampling, sequencing these complex DNA/RNA populations. Chapter 10 finally presents several strategies and software to analyze metagenomes/metatranscriptomes, and discusses their pros and cons.


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