Effects of Hydrolysis Condition and Detection Method on the Monosaccharide Composition Analysis of Polysaccharides from Natural Sources

IF 2.5 4区 工程技术 Q3 CHEMISTRY, ANALYTICAL Separations Pub Date : 2023-12-19 DOI:10.3390/separations11010002
Meijuan Zhao, Fengyan Kuang, Yingyue Zhang, Guang-Ping Lv
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Abstract

Monosaccharide composition analysis is essential to the structural characterization and research into the biological activity of polysaccharides. In this study, a systematic comparison was performed among commonly used monosaccharide composition analysis methods, including colorimetric and chromatographic methods. These were tested on 16 aldoses, ketoses, alditols, amino sugars, and uronic acids. Furthermore, the effect of hydrolysis methods was also investigated. The results showed that the phenol sulfuric acid method is greatly affected by the type of monosaccharide that is used as the reference substance. The determination of uronic acid using sulfuric acid carbazole is less affected by neutral sugars than that method using m-hydroxybiphenyl. The high-performance thin-layer chromatography (HPTLC) method can simultaneously analyze multiple samples and accurately determine the type of uronic acid. High-performance liquid chromatography (HPLC) can provide a good qualitative and quantitative analysis of aldose, amino sugars, and uronic acids, while gas chromatography–mass spectrometry (GC-MS) can detect aldose, ketose, and alditols. Fructose was detected in a large amount in inulin and Codonopsis pilosula after one-step hydrolysis, while it was totally destroyed in two-step hydrolysis. The release of galacturonic acid significantly increased after two-step hydrolysis in pectin and Lycium barbarum, which indicated that one-step hydrolysis is not enough for acidic polysaccharides. The results of this study are beneficial for selecting appropriate hydrolysis and analysis methods in order to accurately analyze the monosaccharide compositions of natural polysaccharides.
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水解条件和检测方法对天然来源多糖单糖成分分析的影响
单糖成分分析对于多糖的结构表征和生物活性研究至关重要。本研究对常用的单糖成分分析方法(包括比色法和色谱法)进行了系统比较。对 16 种醛糖、酮糖、醛糖醇、氨基糖和尿酸进行了测试。此外,还研究了水解方法的影响。结果表明,酚硫酸法受用作参照物的单糖类型影响很大。与使用间羟基联苯的方法相比,使用硫酸咔唑法测定尿酸受中性糖类的影响较小。高效薄层色谱法(HPTLC)可同时分析多个样品,并准确测定尿酸的类型。高效液相色谱法(HPLC)可以很好地定性和定量分析醛糖、氨基糖和尿酸,气相色谱-质谱法(GC-MS)可以检测醛糖、酮糖和醛糖醇。一步水解法在菊粉和党参中检测到大量果糖,而两步水解法则完全破坏了果糖。果胶和枸杞经两步水解后,半乳糖醛酸的释放量明显增加,这表明一步水解对酸性多糖来说是不够的。本研究的结果有助于选择适当的水解和分析方法,以准确分析天然多糖的单糖成分。
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来源期刊
Separations
Separations Chemistry-Analytical Chemistry
CiteScore
3.00
自引率
15.40%
发文量
342
审稿时长
12 weeks
期刊介绍: Separations (formerly Chromatography, ISSN 2227-9075, CODEN: CHROBV) provides an advanced forum for separation and purification science and technology in all areas of chemical, biological and physical science. It publishes reviews, regular research papers and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. There are, in addition, unique features of this journal: Manuscripts regarding research proposals and research ideas will be particularly welcomed. Electronic files and software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material. Manuscripts concerning summaries and surveys on research cooperation and projects (that are funded by national governments) to give information for a broad field of users. The scope of the journal includes but is not limited to: Theory and methodology (theory of separation methods, sample preparation, instrumental and column developments, new separation methodologies, etc.) Equipment and techniques, novel hyphenated analytical solutions (significantly extended by their combination with spectroscopic methods and in particular, mass spectrometry) Novel analysis approaches and applications to solve analytical challenges which utilize chromatographic separations as a key step in the overall solution Computational modelling of separations for the purpose of fundamental understanding and/or chromatographic optimization
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