標題: Use of statistical methods to find the polysaccharide structural characteristics and the relationships between monosaccharide composition ratio and macrophage stimulatory activity of regionally different strains of Lentinula edodes
作者: Lo, Tiffany Chien Ting
Jiang, Yi Huei
Chao, Anne Lien Ju
Chang, Cheng Allen
生物科技學系
Department of Biological Science and Technology
關鍵字: Lentinula edodes;polysaccharide;multiple linear regression analysis;principal component analysis;factor analysis;macrophage stimulatory activity
公開日期: 12-二月-2007
摘要: Multiple linear regression analysis was used to deduce the correlation between the monosaccharide composition ratios of 10 regionally different strains of Lentinula edodes and their in vitro macrophage stimulatory activities. Arabinose, xylose, mannose and galactose were identified as the monosaccharides that could be related to macrophage stimulatory activities. Additional principal component analysis and factor analysis methods were used to treat the same monosaccharide composition ratio data and the compositions of arabinose, xylose, mannose and galactose were found to be important. Interestingly, glucose, although presented in large compositions in all strains presumably forms the backbone of the polysaccharide structures, is not selected as the determinant factor for either structural characteristics or that of the in vitro macrophage stimulatory activities. (c) 2006 Elsevier B.V. All rights reserved.
URI: http://dx.doi.org/10.1016/j.aca.2006.10.051
http://hdl.handle.net/11536/11133
ISSN: 0003-2670
DOI: 10.1016/j.aca.2006.10.051
期刊: ANALYTICA CHIMICA ACTA
Volume: 584
Issue: 1
起始頁: 50
結束頁: 56
顯示於類別:期刊論文


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