Advances in analytical tools and current statistical methods used in ultra-high-performance liquid chromatography-mass spectrometry of glycero-, glycerophospho- and sphingolipids

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Avela , H F & Siren , H 2020 , ' Advances in analytical tools and current statistical methods used in ultra-high-performance liquid chromatography-mass spectrometry of glycero-, glycerophospho- and sphingolipids ' , International Journal of Mass Spectrometry , vol. 457 , 116408 . https://doi.org/10.1016/j.ijms.2020.116408

Title: Advances in analytical tools and current statistical methods used in ultra-high-performance liquid chromatography-mass spectrometry of glycero-, glycerophospho- and sphingolipids
Author: Avela, Henri F.; Siren, Heli
Contributor organization: Department of Chemistry
Date: 2020-11
Language: eng
Number of pages: 18
Belongs to series: International Journal of Mass Spectrometry
ISSN: 1387-3806
DOI: https://doi.org/10.1016/j.ijms.2020.116408
URI: http://hdl.handle.net/10138/333288
Abstract: The review concentrates on the properties of analytical and statistical ultrahigh-performance liquid chromatographic (UHPLC) - mass spectrometric (MS) methods suitable for glycero-, glycerophospho- and sphingolipids in lipidomics published between the years 2017 2019. Trends and fluctuations of conventional and nano-UHPLC methods with MS and tandem MS detection were observed in context of analysis conditions and tools used for data-analysis. Whereas general workflow characteristics are agreed upon, more details related to the chromatographic methodology (i.e. stationary and mobile phase conditions) need evidently agreements. Lipid quantitation relies upon isotope-labelled standards in targeted analyses and fully standardless algorithm-based untargeted analyses. Furthermore, a wide spectrum of setups have shown potential for the elucidation of complex and large datasets by minimizing the risks of systematic misinterpretation like false positives. This kind of evaluation was shown to have increased importance and usage for cross-validation and data-analysis. (C) 2020 Elsevier B.V. All rights reserved.
Subject: Lipidomics
Mass spectrometry
Ultrahigh performance liquid
chromatography
Nano-liquid chromatography
Chemometrics
Statistical methods
Multicomponent analysis
FIELD-FLOW FRACTIONATION
SUPERCRITICAL-FLUID CHROMATOGRAPHY
PRESSURE CHEMICAL-IONIZATION
FALSE DISCOVERY RATE
ESI-QTOF-MS/MS
ELECTROSPRAY-IONIZATION
LIPIDOMIC ANALYSIS
FATTY-ACID
QUANTIFICATION
EXTRACTION
116 Chemical sciences
Peer reviewed: Yes
Rights: cc_by_nc_nd
Usage restriction: openAccess
Self-archived version: acceptedVersion


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