Articolul precedent |
Articolul urmator |
558 9 |
Ultima descărcare din IBN: 2022-10-23 08:27 |
SM ISO690:2012 NICOLESCU, Alina Florica, UŞURELU, Natalia, DELEANU, Călin, BALAN, Mihaela, VULTURAR, Romana, ANDREICA-SANDICA, Bianca, MIU, Andrei. Statistical classifiers based on NMR fingerprinting of urine. In: Physical Methods in Coordination and Supramolecular Chemistry, 8-9 octombrie 2015, Chişinău. Chisinau, Republic of Moldova: 2015, XVIII, p. 109. |
EXPORT metadate: Google Scholar Crossref CERIF DataCite Dublin Core |
Physical Methods in Coordination and Supramolecular Chemistry XVIII, 2015 |
|
Conferința ""Physical Methods in Coordination and Supramolecular Chemistry"" Chişinău, Moldova, 8-9 octombrie 2015 | |
|
|
Pag. 109-109 | |
Descarcă PDF | |
Rezumat | |
Starting early 1980’s, proton nuclear magnetic resonance spectroscopy has proven to be a noninvasive, robust and reliable method in biofluids analysis. Since then, the use of 1H-NMR Spectroscopy in biomedical research has widely spread. Chemometric and pattern recognition methods are currently used for classification of NMR data obtained from biofluids. Different biological fluids have been analyzed, and among them urine seems to be the most popular one. This can be mainly due to its high metabolite content, accessibility and little sample preparation requirements. In this study an NMR-based metabonomic method was used to characterize the urinary metabolic profiling of several subjects with inborn errors of metabolism, depressive disorders and healthy controls. |
|
|