Literature DB >> 19743070

Analysis of the monosaccharide composition of purified polysaccharides in Ganoderma atrum by capillary gas chromatography.

Yi Chen1, Ming-Yong Xie, Yuan-Xing Wang, Shao-Ping Nie, Chang Li.   

Abstract

INTRODUCTION: Ganoderma, one of the best-known traditional Chinese medicines, has attracted considerable attention owing to the fact that dozens of polysaccharides isolated from it have shown diverse and potentially significant pharmacological activities. However, no work has been reported on the analysis of monosaccharide composition of polysaccharide isolated from the aqueous extract of Ganoderma atrum yet.
OBJECTIVE: To develop a simple and sensitive GC-based method for the analysis of monosaccharide composition of purified polysaccharides in Ganoderma atrum.
METHODOLOGY: The polysaccharide was first hydrolysed to give the constituent monosaccharides, which were subsequently derived into acetylated aldononitriles and analysed by gas chromatography using a capillary column packed with a (5%phenyl) methylpolysiloxane stationary phase with the addition of acetyl inositol as the inner standard. High-performance liquid chromatography was also used for comparison.
RESULTS: The stable derivatives of the most common monosaccharides could be separated and reproducibly determined with high sensitivity. The limits of detection and quantification were 0.013 and 0.043 mg/mL, respectively. The intermediary precision values (expressed as the RSD) were less than 10%. The mean recovery of the method was 100 + or - 3%, with RSD values of less than 5%. The results obtained from GC and HPLC methods were found to be close to each other within acceptable error ranges.
CONCLUSION: This study demonstrated that the developed method could be applied as an accurate method for the compositional analysis of monosaccharides in the field of biological and biochemical study.

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Year:  2009        PMID: 19743070     DOI: 10.1002/pca.1153

Source DB:  PubMed          Journal:  Phytochem Anal        ISSN: 0958-0344            Impact factor:   3.373


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