Characterization of Unfractionated Polysaccharides in Brown Seaweed by Methylation-GC-MS-Based Linkage Analysis.

IF 4.9 2区 医学 Q1 CHEMISTRY, MEDICINAL
Marine Drugs Pub Date : 2024-10-09 DOI:10.3390/md22100464
Barinder Bajwa, Xiaohui Xing, Spencer C Serin, Maria Hayes, Stephanie A Terry, Robert J Gruninger, D Wade Abbott
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引用次数: 0

Abstract

This study introduces a novel approach to analyze glycosidic linkages in unfractionated polysaccharides from alcohol-insoluble residues (AIRs) of five brown seaweed species. GC-MS analysis of partially methylated alditol acetates (PMAAs) enables monitoring and comparison of structural variations across different species, harvest years, and tissues with and without blanching treatments. The method detects a wide array of fucose linkages, highlighting the structural diversity in glycosidic linkages and sulfation position in fucose-containing sulfated polysaccharides. Additionally, this technique enhances cellulose quantitation, overcoming the limitations of traditional monosaccharide composition analysis that typically underestimates cellulose abundance due to incomplete hydrolysis of crystalline cellulose. The introduction of a weak methanolysis-sodium borodeuteride reduction pretreatment allows for the detection and quantitation of uronic acid linkages in alginates.

基于甲基化-气相色谱-质谱联用分析的褐藻中未分馏多糖的特征。
本研究介绍了一种新方法,用于分析五种褐色海藻的酒精不溶性残留物(AIRs)中未分馏多糖的糖苷键。通过对部分甲基化醛糖醇乙酸酯(PMAAs)进行气相色谱-质谱分析,可以监测和比较不同物种、不同收获年份以及经过或未经焯水处理的组织的结构变化。该方法可检测到多种岩藻糖连接,突出了含岩藻糖硫酸化多糖中糖苷键和硫酸化位置的结构多样性。此外,由于结晶纤维素水解不完全,传统的单糖成分分析通常会低估纤维素的丰度,而该技术克服了这一局限性,提高了纤维素的定量能力。引入弱甲醇分解-硼氘化钠还原预处理可检测和定量藻酸盐中的尿酸连接。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Marine Drugs
Marine Drugs 医学-医药化学
CiteScore
9.60
自引率
14.80%
发文量
671
审稿时长
1 months
期刊介绍: Marine Drugs (ISSN 1660-3397) publishes reviews, regular research papers and short notes on the research, development and production of drugs from the sea. Our aim is to encourage scientists to publish their experimental and theoretical research in as much detail as possible, particularly synthetic procedures and characterization information for bioactive compounds. There is no restriction on the length of the experimental section.
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