title: Rapid detection of peptide markers for authentication purposes in raw and cooked meat using ambient liquid extraction surface analysis mass spectrometry.
abstract: In this Article, our previously developed ambient LESA-MS methodology is implemented to analyze five types of thermally treated meat species, namely, beef, pork, horse, chicken, and turkey meat, to select and identify heat-stable and species-specific peptide markers. In-solution tryptic digests of cooked meats were deposited onto a polymer surface, followed by LESA-MS analysis and evaluation using multivariate data analysis and tandem electrospray MS. The five types of cooked meat were clearly discriminated using principal component analysis and orthogonal partial least-squares discriminant analysis. 23 heat stable peptide markers unique to species and muscle protein were identified following data-dependent tandem LESA-MS analysis. Surface extraction and direct ambient MS analysis of mixtures of cooked meat species was performed for the first time and enabled detection of 10% (w/w) of pork, horse, and turkey meat and 5% (w/w) of chicken meat in beef, using the developed LESA-MS/MS analysis. The study shows, for the first time, that ambient LESA-MS methodology displays specificity sufficient to be implemented effectively for the analysis of processed and complex peptide digests. The proposed approach is much faster and simpler than other measurement tools for meat speciation; it has potential for application in other areas of meat science or food production.
authors.affiliation: Centre for Analytical Bioscience, School of Pharmacy, University of Nottingham , University Park, Nottingham NG7 2RD, United Kingdom.
authors.forename: Magdalena
authors.initials: M
authors.lastname: Montowska
authors.forename: Morgan R
authors.initials: MR
authors.lastname: Alexander
authors.forename: Gregory A
authors.initials: GA
authors.lastname: Tucker
authors.forename: David A
authors.initials: DA
authors.lastname: Barrett
mesh_terms: D000818:Animals; D015415:Biomarkers / Q000032:analysis*; D002417:Cattle; D002645:Chickens; D005524:Food Technology / Q000379:methods*; D008460:Meat / Q000032:analysis* / Q000145:classification; D010455:Peptides / Q000032:analysis*; D013552:Swine; D053719:Tandem Mass Spectrometry; D013997:Time Factors
chemical_list: D015415:Biomarkers; D010455:Peptides