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Pregled bibliografske jedinice broj: 936148

Zbornik radova

Autori: Živković Semren, Tanja; Brčić Karačonji, Irena; Jurič, Andreja; Brajenović, Nataša; Tariba Lovaković, Blanka; Pizent Alica
Naslov: Tools for the identification of unknown compounds after gas chromatographic-mass spectrometric (GC-MS) analysis of urinary volatile organic metabolites (VOMs)
( Tools for the identification of unknown compounds after gas chromatographic-mass spectrometric (GC-MS) analysis of urinary volatile organic metabolites (VOMs) )
Izvornik: / Matović, Vesna (ur.). - Beograd : Serbian Society of Toxicology , 2018. 94-94 (ISBN: 978-86-917867-1-7).
Skup: 10th Congress of Toxicology in Developing Countries (CTDC10) & 12th Congress of the Serbian Society of Toxicology (12th SCT)
Mjesto i datum: Beograd, Srbija, 18-21.04.2018
Ključne riječi: metabolomics, HS-SPME, AMDIS, Kovats retention index, NIST
( metabolomics, HS-SPME, AMDIS, Kovats retention index, NIST )
Sažetak:
Volatile organic metabolites (VOMs) in human urine can be used in non-targeted metabolomics research to identify specific metabolites that may be useful as new diagnostic, predictive, and prognostic disease biomarkers. Determination of urinary metabolite profile provides novel information on phenotypic characteristics of an organism that cannot be obtained from target measurement. The headspace-solid phase microextraction (HS-SPME) technique coupled with gas chromatography-mass spectrometry (GC-MS) proved to be the most successful in VOMs analysis. After data processing of raw GC-MS data crucial step is to identify compounds of interest. Due to the complexity of the matrix, wide chemical diversity of the metabolites and their wide concentration range, metabolite identification is intrinsically difficult. In our laboratory, we use automated mass spectral deconvolution and identification system (AMDIS) for identification of unknown VOMs. AMDIS first deconvolutes the raw GCMS data file to find all components, and then compare mass spectral data against a library of target compound (e.g. National Institute of Standards (NIST) mass spectral library). To reduce possible solutions of identification offered by NIST Kovats retention index (RI) is used. A Kovats retention index system uses a series of standards, homologous series of n-alkanes applied as reference peak. Despite some limitations, presented methods could be very useful in VOMs identification. To confirm identification of unknown VOMs unequivocally, analysis of available analytical standards using the same GC-MS conditions is recommended.
Vrsta sudjelovanja: Poster
Vrsta prezentacije u zborniku: Sažetak
Vrsta recenzije: Domaća recenzija
Izvorni jezik: eng
Kategorija: Znanstveni
Znanstvena područja:
Kemija,Javno zdravstvo i zdravstvena zaštita
Puni text rada: 936148.CTDC10-Final-Book-of-Abstracts.pdf (tekst priložen 25. Tra. 2018. u 12:18 sati)
Upisao u CROSBI: Andreja Jurič (ajuric@imi.hr), 25. Tra. 2018. u 10:15 sati



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