Quantification of brain lipids by FTIR spectroscopy and partial least squares regression
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- 作者：Isabell Dreissig ; Susanne Machill ; Reiner Salzer ; Christoph Krafft
- 关键词：FTIR spectroscopy ; Brain tissue ; Thin layer chromatography ; Lipids
- 刊名：Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
- 出版年：2009
- 出版时间：January 2009
- 年：2009
- 卷：71
- 期：5
- 页码：2069-2075
- 全文大小：701 K
文摘
Brain tissue is characterized by high lipid content. Its content decreases and the lipid composition changes during transformation from normal brain tissue to tumors. Therefore, the analysis of brain lipids might complement the existing diagnostic tools to determine the tumor type and tumor grade. Objective of this work is to extract lipids from gray matter and white matter of porcine brain tissue, record infrared (IR) spectra of these extracts and develop a quantification model for the main lipids based on partial least squares (PLS) regression. IR spectra of the pure lipids cholesterol, cholesterol ester, phosphatidic acid, phosphatidylcholine, phosphatidylethanolamine, phosphatidylserine, phosphatidylinositol, sphingomyelin, galactocerebroside and sulfatide were used as references. Two lipid mixtures were prepared for training and validation of the quantification model. The composition of lipid extracts that were predicted by the PLS regression of IR spectra was compared with lipid quantification by thin layer chromatography.