Nuclear magnetic resonance spectroscopy is highly sensitive for lipid-soluble metabolites***
Haiyang Dai
Bikai Hong
Zhifeng Xu
Lian Ma
Yaowen Chen
Yeyu Xiao
Renhua Wu
摘要： Although the water-soluble metabolite profile of human mesenchymal stem cel s is known, the lipid profile stil needs further investigation. In this study, methanol-chloroform was used to extract pid-soluble metabolites and perchloric acid was used to extract water-soluble metabolites. Fur-thermore, a dual phase extraction method using methanol-chloroform and water was used to obtain both water and lipid fractions simultaneously. Al metabolite extractions were analyzed on a 9.4T high-resolution nuclear magnetic resonance spectrometer. Metabolite resonance peaks were as-signed in the acquired spectra according to the chemical shift, and the extraction efficiency of ferent methods was compared. Results showed that in the spectra of water-soluble extracts, major metabolites comprised low molecular weight metabolites, including lactate, acetic acid, fatty acids, threonine, glutamic acid, creatine, choline and its derivatives, while in the spectra of lipid-soluble extracts, most metabolites were assigned to fatty acids. Among the different extraction procedures, perchloric acid was more efficient in extracting water-soluble metabolites and methanol-chloroform was efficient in extracting organic components compared with the dual phase extraction method. Nuclear magnetic resonance spectroscopy showed that as low as 0.7 mg organic yield was enough to obtain clear resonance peaks, while about 6.0 mg water-soluble yield was needed to obtain rela-tively favorable spectral lines. These results show that the efficiency of extracting water and lipid fractions is higher using perchloric acid and methanol-chloroform compared with dual phase ex-traction and that nuclear magnetic resonance spectroscopy is highly sensitive for analyzing li-pid-soluble extracts.
机标关键词：nuclear magnetic resonanceperchloric acidextraction methoddual phasefatty acidslow molecular weightspectral lineschemical shift
资助基金：This study was supported by the Key Program of the National Natural Science Foundation of China, (No.30930027)the National Natural Science Foundation of China, (No.60971075)
论文发表日期：2013-01-01
在线出版日期：2025-08-15（本平台首次上网日期，不代表文献的发表时间）
页数：8( 2103-2110 )
英文信息