A recent study explored rapid evaporative ionization mass spectrometry (REIMS) as a high-throughput, real-time alternative. By analyzing metabolomic fingerprints from pig neck fat, REIMS was combined with multivariate data analysis and machine learning algorithms to successfully classify pork breeds and accurately detect boar taint in both laboratory and slaughterhouse environments. LCGC International spoke to Lieselot Y. Hemeryck and Lynn Vanhaecke, two of the authors of the paper resulting from this work, and their expert colleague, Vera Plekhova, about the study and their findings.