| Literature DB >> 36193374 |
Chaoyu Zhai1, Bailey Schilling1, Jessica E Prenni2, J Chance Brooks3, Jerrad F Legako3, Rhonda K Miller4, Michael J Hernandez-Sintharakao1, Cody L Gifford5, Robert Delmore1, Mahesh N Nair1.
Abstract
Rapid Evaporative Ionization Mass Spectrometry (REIMS) is a type of ambient ionization mass spectrometry, which enables real-time evaluation of several complex traits from a single measurement. The objective of this study was to evaluate the capability of REIMS analysis of raw samples coupled with chemometrics to accurately identify and predict cooked beef palatability. REIMS analysis and consumer sensory evaluation were conducted for beef arm center roasts (n = 20), top loin steaks (n = 20), top sirloin steaks (n = 20), and 20% lipid ground beef (n = 20). These data were used to train predictive models for six classification sets representing different sensory traits. The maximum prediction accuracies achieved (from high to low): beefy flavor acceptance (86.25%), juiciness acceptance (83.75%), overall acceptance (81.25%), overall flavor acceptance (81.25%), grilled flavor acceptance (78.75%), and tenderness acceptance (75%). The current study demonstrates that REIMS analysis of raw meat has the potential to predict and classify cooked beef palatability. Supplementary Information: The online version contains supplementary material available at 10.1007/s13197-022-05562-6. © Association of Food Scientists & Technologists (India) 2022.Entities:
Keywords: Beef flavor; Consumer panel; Cross validation; Juiciness; Metabolic fingerprinting; REIMS
Year: 2022 PMID: 36193374 PMCID: PMC9525463 DOI: 10.1007/s13197-022-05562-6
Source DB: PubMed Journal: J Food Sci Technol ISSN: 0022-1155 Impact factor: 3.117