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Evaluating the ability of rapid evaporative ionization mass spectrometry to differentiate beef palatability based on consumer preference.
Zhai, Chaoyu; Schilling, Bailey; Prenni, Jessica E; Brooks, J Chance; Legako, Jerrad F; Miller, Rhonda K; Hernandez-Sintharakao, Michael J; Gifford, Cody L; Delmore, Robert; Nair, Mahesh N.
Afiliação
  • Zhai C; Department of Animal Sciences, Colorado State University, Fort Collins, CO 80523 USA.
  • Schilling B; Department of Animal Sciences, Colorado State University, Fort Collins, CO 80523 USA.
  • Prenni JE; Department of Horticulture and Landscape Architecture, Colorado State University, Fort Collins, CO 80523 USA.
  • Brooks JC; Department of Animal and Food Sciences, Texas Tech University, Lubbock, TX 79409 USA.
  • Legako JF; Department of Animal and Food Sciences, Texas Tech University, Lubbock, TX 79409 USA.
  • Miller RK; Department of Animal Science, Texas A&M University, College Station, TX 77843-2471 USA.
  • Hernandez-Sintharakao MJ; Department of Animal Sciences, Colorado State University, Fort Collins, CO 80523 USA.
  • Gifford CL; Department of Animal Science, University of Wyoming, Laramie, USA.
  • Delmore R; Department of Animal Sciences, Colorado State University, Fort Collins, CO 80523 USA.
  • Nair MN; Department of Animal Sciences, Colorado State University, Fort Collins, CO 80523 USA.
J Food Sci Technol ; 59(10): 4134-4140, 2022 Oct.
Article em En | MEDLINE | ID: mdl-36193374
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article