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NREL法测定大米草原料组分的含量
引用本文:谢茹胜,刘健,龙敏南.NREL法测定大米草原料组分的含量[J].井冈山大学学报(自然科学版),2016(5):43-46.
作者姓名:谢茹胜  刘健  龙敏南
作者单位:福建生物工程职业技术学院, 福建, 福州 350002;厦门大学能源学院, 福建, 厦门 361102,厦门大学能源学院, 福建, 厦门 361102,福建生物工程职业技术学院, 福建, 福州 350002;厦门大学能源学院, 福建, 厦门 361102
基金项目:闽海高新[2014]25号“滩涂大米草高值化综合利用关键技术与示范”项目;福建省生物医药产业中试与检测技术公共服务平台;海洋生物制品福建省高校应用技术工程中心
摘    要:采用美国国家可再生能源实验室(NREL)方法定量大米草原料中纤维素、半纤维素及木质素。72%浓硫酸水解1 h、4%稀硫酸水解1 h可将大米草的纤维素、半纤维素降解为可用HPLC定量的单糖,适宜的样品添加量为0.3 g。同时,NREL法测定大米草纤维素、半纤维素及木质素的含量分别为32.92%、27.65%和24.2%。这三个组分的含量是评价大米草预处理、酶解及发酵工艺条件的重要依据。

关 键 词:NREL法  纤维素  半纤维素  大米草  定量分析
收稿时间:2016/4/19 0:00:00
修稿时间:2016/6/22 0:00:00

DETERMINATION OF SPARTINA ANGLICA STOCK COMPONENTS BY NREL METHOD
XIE Ru-sheng,LIU Jian and LONG Min-nan.DETERMINATION OF SPARTINA ANGLICA STOCK COMPONENTS BY NREL METHOD[J].Journal of Jinggangshan University(Natural Sciences Edition),2016(5):43-46.
Authors:XIE Ru-sheng  LIU Jian and LONG Min-nan
Institution:Fujian Vocational College of Bioengineering, Fuzhou, Fujian 350002, China;College of Energy, Xiamen University, Xiamen, Fujian 361100, China,College of Energy, Xiamen University, Xiamen, Fujian 361100, China and Fujian Vocational College of Bioengineering, Fuzhou, Fujian 350002, China;College of Energy, Xiamen University, Xiamen, Fujian 361100, China
Abstract:Cellulose,hemicellulose and lignin of Spartina anglica were quantified by National Renewable Energy Lab (NREL) method.It was showed that the cellulose and semicellulose of S.anglica could be degraded to mono-sugars which could be quantified by HPLC after it was hydrolyzed with 72% concentrated sulphuric acid for 1 h and 4% dilute sulphuric acid for 1h with the appropriate additive amount of 0.3 g sample.Meanwhile,the contents of cellulose,hemicellulose and lignin of S.anglica determined by NREL method were 32.92%,27.65% and 24.2% respectively.The contents of these three fractions are important basis for the evaluation of the pre-processing,enzymatic hydrolysis and fermentation conditions of S.anglica.
Keywords:NREL method  cellulose  hemicelluloses  Spartina anglica  quantitative analysis
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