通过串联振动显微光谱和多变量数据分析对糖胺聚糖进行表征。

Characterization of glycosaminoglycans by tandem vibrational microspectroscopy and multivariate data analysis.

作者信息

Mainreck Nathalie, Brézillon Stéphane, Sockalingum Ganesh D, Maquart François-Xavier, Manfait Michel, Wegrowski Yanusz

机构信息

Laboratoire de Biochimie Médicale et de Biologie Moléculaire, CNRS UMR 6237-MEDyC, Université de Reims-Champagne-Ardenne, Reims, France.

出版信息

Methods Mol Biol. 2012;836:117-30. doi: 10.1007/978-1-61779-498-8_8.

DOI:10.1007/978-1-61779-498-8_8

PMID:22252631

Abstract

Vibrational spectroscopies (VS), INFRARED SPECTROSCOPY and RAMAN SPECTROSCOPY, are well-established techniques for exploring the chemical composition of samples. VS are based on the molecular vibrations and give a spectral signature also called "molecular fingerprint" characteristic of the studied material. Recent advances in these techniques have rendered them faster, more sensitive, and easier to use. This chapter describes their application to characterize the main glycosaminoglycans-without any sample destruction or degradation. Nowadays, the use of multivariate statistical analysis for analyzing spectral data allows to extract rapidly the discriminant spectral information from large data sets. The combination of VS and this type of data analysis is also discussed in this chapter.

摘要

振动光谱法（VS），包括红外光谱法和拉曼光谱法，是用于探究样品化学成分的成熟技术。VS基于分子振动，能给出一种光谱特征，也称为所研究材料特有的“分子指纹”。这些技术的最新进展使其更快、更灵敏且更易于使用。本章描述了它们在不破坏或降解任何样品的情况下用于表征主要糖胺聚糖的应用。如今，使用多元统计分析来分析光谱数据能够从大型数据集中快速提取判别性光谱信息。本章还讨论了VS与这类数据分析的结合。