Issue 21, 2015

A reliable and sensitive LCMS-IT-TOF method coupled with accelerated solvent extraction for the identification and quantitation of six typical heterocyclic aromatic amines in cooked meat products

Abstract

A reliable and sensitive liquid chromatography-ion trap-time of flight tandem mass spectrometric assay (LCMS-IT-TOF) coupled with accelerated solvent extraction (ASE) was developed to identify and quantify six typical heterocyclic aromatic amines (HCAs), including 2-amino-3-methylimidazo[4,5-f]quinoline (IQ), 2-amino-3,4-dimethylimidazo[4,5-f]quinoline (MeIQ), 2-amino-3,8-dimethylimidazo[4,5-f]quinoxaline (MeIQx), 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP), 2-amino-9H-pyrido[2,3-b]indole (AαC) and 2-amino-3-methyl-9H-pyrido[2,3-b]indole (MeAαC) in cooked meat products. The effects of various experimental factors on separation and detection were investigated, and the fragmentation patterns of six HCAs were discussed. The method has shown high reproducibility with intra-day and inter-day precision (RSD, %) less than 6.16% across three quality control levels for the six analytes. The assay was linear over the concentration range of 10 to 1000 μg L−1 for IQ, MeIQ and 5 to 500 μg L−1 for MeIQx, PhIP, AαC and MeAαC (r2 ≥ 0.996). The experimental results showed that the proposed method can be used successfully to identify and determine six typical HCAs at ultra-trace levels (μg kg−1) in cooked meat products.

Graphical abstract: A reliable and sensitive LCMS-IT-TOF method coupled with accelerated solvent extraction for the identification and quantitation of six typical heterocyclic aromatic amines in cooked meat products

Article information

Article type
Paper
Submitted
12 ሜይ 2015
Accepted
15 ሴፕቴ 2015
First published
21 ሴፕቴ 2015

Anal. Methods, 2015,7, 9274-9280

Author version available

A reliable and sensitive LCMS-IT-TOF method coupled with accelerated solvent extraction for the identification and quantitation of six typical heterocyclic aromatic amines in cooked meat products

Y. Ouyang, H. Li, H. Tang, Y. Jin and G. Li, Anal. Methods, 2015, 7, 9274 DOI: 10.1039/C5AY01236H

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