Statistical classifiers based on NMR fingerprinting of urine

Nicolescu Alina Florica; Uşurelu Natalia; Deleanu Călin; Balan Mihaela; Vulturar Romana; Andreica-Sandica Bianca; Miu Andrei

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2022-10-23 08:27

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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.

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Physical Methods in Coordination and Supramolecular Chemistry
XVIII, 2015

Conferința ""Physical Methods in Coordination and Supramolecular Chemistry""
Chişinău, Moldova, 8-9 octombrie 2015

Statistical classifiers based on NMR fingerprinting of urine

Pag. 109-109

Nicolescu Alina Florica¹², Uşurelu Natalia³, Deleanu Călin¹², Balan Mihaela¹, Vulturar Romana⁴, Andreica-Sandica Bianca⁴, Miu Andrei⁵

¹ “Petru Poni” Institute of Macromolecular Chemistry,
² "C.D. Nenitzescu" Centre of Organic Chemistry, Romanian Academy,
³ Institute of Mother and Child,
⁴ Iuliu Haţieganu University of Medicine and Pharmacy Cluj-Napoca,
⁵ Babeș-Bolyai University

Disponibil în IBN: 21 aprilie 2020

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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.