Rapid determination of heterocyclic amines in ruminant meats using accelerated solvent extraction and ultra-high performance liquid chromatograph–mass spectrometry

Autor: Muhammad Nadeem, Evan Wheeler, Melissa C. Hamilton, Raymond Thomas, Natalia P. Vidal, Thu Huong Pham, Karen M. Doody, Charles F. Manful
Rok vydání: 2019
Předmět:
Zdroj: MethodsX, Vol 6, Iss, Pp 2686-2697 (2019)
MethodsX
ISSN: 2215-0161
DOI: 10.1016/j.mex.2019.11.014
Popis: Graphical abstract
Cooking techniques such as grilling confer several benefits to meat during food preparation including improved palatability, digestibility, preservation, and safety, as well as enhancing the sensory characteristics and net nutritional gain. However, grilling can lead to the formation of harmful compounds such heterocyclic amines (HCAs). HCAs are potent carcinogenic and mutagenic nitrogen containing compounds produced during certain cooking conditions of protein rich foods. Dietary intake of HCAs is associated with increased risk factors for cancers in humans. As such, there is overwhelming interest in identifying improved methods for rapid and accurate determination of heterocyclic amines in food matrices that is sensitive and avoids exhaustive sample preparation steps. Herein, we describe an approach that involves first extracting HCAs by pressurized accelerated solvent extractor using methanol as solvent, followed by addition of internal standard and quantification of HCAs by ultra-high performance liquid chromatography-high resolution accurate mass spectrometric detection (UHPLC-HRAMS). This method is fast, accurate, reproducible and does not require exhaustive sample pre-treatments prior to UHPLC-HRAMS analysis compared to existing/traditional methods for HCA analysis. • The method is automated, fast and uses tunable pressurized liquid extractor to selectively extract HCAs • Method does not require exhaustive cleanup and preconcentration steps prior to UHPLC/HRAMS analysis of HCAs • Validation showed method to be accurate, precise, and useful for routine multi-sample HCA analyses
Databáze: OpenAIRE