期刊
JOURNAL OF PHYSICAL CHEMISTRY C
卷 113, 期 8, 页码 3181-3188出版社
AMER CHEMICAL SOC
DOI: 10.1021/jp808676d
关键词
-
资金
- New Energy and Industrial Technology Development Organization (NEDO) [04A32502]
- Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan
- Japan Society for the Promotion of Science (JSPS) [18206081]
- Grants-in-Aid for Scientific Research [18206081] Funding Source: KAKEN
The hydrolysis of cellulose with a highly active solid acid catalyst, a carbon material bearing SO3H, COOH, and OH groups, was investigated at 323-393 K using an artificial neural network (ANN) and a response surface methodology (RSM). The ANN models developed for experimental design accurately reflect the novel solid-solid interface catalysis. The ANN models and RSM revealed that the amount of water dominates the hydrolysis reaction as well as cellulose saccharification by concentrated sulfuric acid, a conventional saccharification method. The correlations of the reaction and each parameter are discussed on the basis of the reaction mechanism, ANN, and RSM.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据