Skip to main navigation Skip to search Skip to main content

Applying novel combined MRI methods to investigate quality attributes of marbled beef from different primal cuts

  • Chuanmin Lu
  • , Mingyu Guo
  • , Zhaoxin Yang
  • , Junheng Piao
  • , Seong Min Kim
  • , Hua Zhang*
  • , Guangchun Li*
  • , Zhuangzhuang Qiu*
  • *Corresponding author for this work
  • Yanbian University
  • Ministry of Agriculture of the People's Republic of China
  • Jining Medical College

Research output: Contribution to journalJournal articlepeer-review

Abstract

Intramuscular fat (IMF) is a key determinant of beef eating quality, yet conventional assessment methods remain subjective and inefficient. This study explored the potential of magnetic resonance imaging (MRI) as a non-destructive technique for discriminating quality attributes among four beef cuts: sirloin, ribeye, flap, and filet. The study (n = 3 animals per cut) evaluated how low-field MRI (0.5T) T2 relaxometry and pseudocolor imaging correlate with physicochemical, textural and nutritional traits across four beef cuts, finding that MRI-derived fat parameters strongly associated with chemically measured fat, hardness and color; details of MRI acquisition and statistical modeling are provided. Flap exhibited the highest water-holding capacity but also the greatest cooking loss, while filet had the highest protein and polyunsaturated fatty acid levels yet the lowest water-holding capacity. Sirloin displayed relatively balanced characteristics. These findings highlight the applicability of MRI as an objective, efficient tool for comprehensive quality profiling and grading of beef cuts, advancing beyond traditional fat quantification toward multi-parameter assessment models.

Original languageEnglish
Article number119164
JournalLWT
Volume245
DOIs
StatePublished - 2026.04.1

Fingerprint

Dive into the research topics of 'Applying novel combined MRI methods to investigate quality attributes of marbled beef from different primal cuts'. Together they form a unique fingerprint.

Cite this