中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Bioconversion of elephant grass (Pennisetum purpureum) acid hydrolysate to bacterial cellulose by Gluconacetobacter xylinus

文献类型:期刊论文

作者Yang, X. -Y.1,2; Huang, C.1,3; Guo, H. -J.1,3; Xiong, L.1,3; Li, Y. -Y.1,3; Zhang, H. -R.1,3; Chen, X. -D.1,3
刊名journal of applied microbiology
出版日期2013-10-01
卷号115期号:4页码:995-1002
关键词acid hydrolysate bacterial cellulose elephant grass fermentation Gluconacetobacter xylinus
英文摘要aims: to evaluate the possibility of elephant grass acid hydrolysate converting into bacterial cellulose (bc) produced by gluconacetobacter xylinus ch001 and to characterize the morphology and structure of the cellulose produced.
WOS标题词science & technology ; life sciences & biomedicine
类目[WOS]biotechnology & applied microbiology ; microbiology
研究领域[WOS]biotechnology & applied microbiology ; microbiology
关键词[WOS]microbial oil production ; acetobacter-xylinum ; carbon source ; trichosporon-fermentans ; biofuels
收录类别SCI
语种英语
WOS记录号WOS:000325012200008
源URL[http://ir.giec.ac.cn/handle/344007/10097]  
专题中国科学院广州能源研究所
作者单位1.Chinese Acad Sci, Guangzhou Inst Energy Convers, Guangzhou, Guangdong, Peoples R China
2.Univ Chinese Acad Sci, Beijing, Peoples R China
3.Chinese Acad Sci, Key Lab Renewable Energy, Guangzhou, Guangdong, Peoples R China
推荐引用方式
GB/T 7714
Yang, X. -Y.,Huang, C.,Guo, H. -J.,et al. Bioconversion of elephant grass (Pennisetum purpureum) acid hydrolysate to bacterial cellulose by Gluconacetobacter xylinus[J]. journal of applied microbiology,2013,115(4):995-1002.
APA Yang, X. -Y..,Huang, C..,Guo, H. -J..,Xiong, L..,Li, Y. -Y..,...&Chen, X. -D..(2013).Bioconversion of elephant grass (Pennisetum purpureum) acid hydrolysate to bacterial cellulose by Gluconacetobacter xylinus.journal of applied microbiology,115(4),995-1002.
MLA Yang, X. -Y.,et al."Bioconversion of elephant grass (Pennisetum purpureum) acid hydrolysate to bacterial cellulose by Gluconacetobacter xylinus".journal of applied microbiology 115.4(2013):995-1002.

入库方式: OAI收割

来源:广州能源研究所

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