Application of Statistical Data Analysis Methods to Test the Degradation of Urine Samples for Doping Control Purposes

Autor:	E. M. Gashimova, A. Z. Temerdashev, E. S. Mochalova, I. I. Podolskiy
Rok vydání:	2021
Předmět:	Chemistry Large array Data analysis Degradation (geology) Urine Biological system Analytical Chemistry
Zdroj:	Journal of Analytical Chemistry. 76:761-771
ISSN:	1608-3199 1061-9348
DOI:	10.1134/s1061934821060071
Popis:	The results of applying various statistical methods of analysis to the processing of a large array of data obtained using a validated method of gas chromatographic analysis with tandem mass-spectrometric detection are considered. The findings are an integral part of a human steroid profile, and they are used as characteristics in doping control laboratories. The applicability of statistical methods of analysis to detect the degradation of urine samples in the course of storage based on chemometric approaches is considered; the factors that are most influenced during the degradation of urine samples are identified, and the capabilities and limitations of various statistical methods in operations with large data arrays are demonstrated.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::51b3078d4347b7e35126b058d74431ff https://doi.org/10.1134/s1061934821060071 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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