TY - JOUR

T1 - Quantitative and qualitative analysis of edible oils using HRAM MS with an atmospheric pressure chemical ionisation (APCI) source

AU - Potter, Colin M.

AU - Jones, Gareth Rhys

AU - Barnes, Simon

AU - Jones, David L.

PY - 2021/3/1

Y1 - 2021/3/1

N2 - Fatty acids represent major components of cell membranes, serve as energy sources, modulate gene transcription and cell signalling and act as cytokine precursors. It is increasingly apparent that dietary fatty acids influence these vital functions and affect human health. Consequently, analytical techniques are required to identify and quantify the suite of fatty acids present in food and human tissues. Advances in mass spectrometry (MS) offer new opportunities to profile and quantify fatty acids in biological samples. Our aim was to demonstrate the use of GC- atmospheric pressure chemical ionisation (APCI)-ion mobility spectrometry (IMS)-TOF-MS to provide highly specific and sensitive quantification of known fatty acids plus a comprehensive overview of all the eluted analytes. Ionisation was achieved using an APCI source. This new approach was demonstrated on a range of commercial edible oils. Compared to standard GC techniques using flame ionisation detection (FID) or a single quadrupole MS with electron ionisation, GC-APCI-IMS-TOF-MS greatly increased compound selectivity and specificity, leading to greatly enhanced confidence in fatty acid methyl esters (FAME) identification and quantification. Our approach also added the fingerprint of high-resolution accurate mass (HRAM) discovery data, with collision cross section (CCS) values, relating to many other analytes. This method can be readily applied to study food provenance, food fraud and to identify fatty acid related illnesses.

AB - Fatty acids represent major components of cell membranes, serve as energy sources, modulate gene transcription and cell signalling and act as cytokine precursors. It is increasingly apparent that dietary fatty acids influence these vital functions and affect human health. Consequently, analytical techniques are required to identify and quantify the suite of fatty acids present in food and human tissues. Advances in mass spectrometry (MS) offer new opportunities to profile and quantify fatty acids in biological samples. Our aim was to demonstrate the use of GC- atmospheric pressure chemical ionisation (APCI)-ion mobility spectrometry (IMS)-TOF-MS to provide highly specific and sensitive quantification of known fatty acids plus a comprehensive overview of all the eluted analytes. Ionisation was achieved using an APCI source. This new approach was demonstrated on a range of commercial edible oils. Compared to standard GC techniques using flame ionisation detection (FID) or a single quadrupole MS with electron ionisation, GC-APCI-IMS-TOF-MS greatly increased compound selectivity and specificity, leading to greatly enhanced confidence in fatty acid methyl esters (FAME) identification and quantification. Our approach also added the fingerprint of high-resolution accurate mass (HRAM) discovery data, with collision cross section (CCS) values, relating to many other analytes. This method can be readily applied to study food provenance, food fraud and to identify fatty acid related illnesses.

KW - Synapt G2-Si

KW - Human health

KW - Lipidomics

KW - Cooking oils

KW - HP-88

KW - HDMSE

KW - Extra virgin olive oil

KW - Rapeseed oil

KW - Pumpkin seed oil

KW - Sesame seed oil

KW - Avocado oil

KW - Sunflower oil

KW - Walnut oil

U2 - 10.1016/j.jfca.2020.103760

DO - 10.1016/j.jfca.2020.103760

M3 - Article

VL - 96

JO - Journal of Food Composition and Analysis

JF - Journal of Food Composition and Analysis

SN - 0889-1575

M1 - 103760

ER -