biostudies-literatureZhang YNatural Science Foundation of China3048https://www.ebi.ac.uk/biostudies/studies/S-EPMC12428751biostudies-literatureUnknown14(17)Amidst growing demand for meat products, concerns regarding their authenticity and safety have intensified, primarily due to potential fraudulent substitutions of cheaper meats, which are not accurately labeled. This study presents a novel strategy for the rapid screening and validation of target peptides for accurate quantitative analysis using high-resolution mass spectrometry (HRMS) coupled with multivariate statistical analysis. By integrating hierarchical clustering analysis (HCA) with parallel reaction monitoring (PRM), five species-specific peptides were validated as reliable biomarkers for pork quantification. These peptides demonstrated accurate quantification in simulated meat products with known accurate contents, achieving recoveries of 78-128%, with RSD less than 12%. This metFoods (Basel, Switzerland)Visualization-Based Rapid Screening and Quantitative Analysis of Target Peptides for Meat Authentication.PMC1242875132272419Li YLiu MZhang YWang SKang CGuo WJiang SKong WfalseVisualization-Based Rapid Screening and Quantitative Analysis of Target Peptides for Meat Authentication.Amidst growing demand for meat products, concerns regarding their authenticity and safety have intensified, primarily due to potential fraudulent substitutions of cheaper meats, which are not accurately labeled. This study presents a novel strategy for the rapid screening and validation of target peptides for accurate quantitative analysis using high-resolution mass spectrometry (HRMS) coupled with multivariate statistical analysis. By integrating hierarchical clustering analysis (HCA) with parallel reaction monitoring (PRM), five species-specific peptides were validated as reliable biomarkers for pork quantification. These peptides demonstrated accurate quantification in simulated meat products with known accurate contents, achieving recoveries of 78-128%, with RSD less than 12%. This met2025-01-01T00:00:00Z2025 Aug2026-04-08T19:55:39.484Z2026-04-08T14:35:20.972ZS-EPMC124287514094116310.3390/foods14173048