4.7 Review

Biomarkers and biosensors for the diagnosis of noncompliant pH, dark cutting beef predisposition, and welfare in cattle

Journal

Publisher

WILEY
DOI: 10.1111/1541-4337.12935

Keywords

biomarkers; biosensors; dark cutting; detect welfare in cattle; meat quality; on-farm meat quality prediction

Funding

  1. Commonwealth Scientific and Industrial Research Organisation
  2. Meat and Livestock Australia [L.EQT.2104]

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Meat quality is influenced by various factors including stress, exhaustion, feed composition, and environmental conditions. These factors can affect the pH in postmortem muscle, leading to dark cutting beef of low quality. Dark cutting prediction can be a measure of animal welfare as it correlates with animal stress. This critical review assesses the potential biomarkers of stress and dark cutting in cattle, including small molecules and proteins. The review also explores the potential of chemical-sensing and biosensing technologies for rapid detection of these biomarkers. Several biomarker/biosensor combinations show great potential for measuring dark cutting potential in live cattle.
Meat quality can be affected by stress, exhaustion, feed composition, and other physical and environmental conditions. These stressors can alter the pH in postmortem muscle, leading to high pH and low-quality dark cutting (DC) beef, resulting in considerable economic loss. Moreover, the dark cutting prediction may equally provide a measure for animal welfare since it is directly related to animal stress. There are two needs to advance on-site detection of dark cutters: (1) a clear indication that biomarker (signature compounds) levels in cattle correlate with stress and DC outcome; and (2) measuring these biomarkers rapidly and accurately on-farm or the abattoir, depending on the objectives. This critical review assesses which small molecules and proteins have been identified as potential biomarkers of stress and dark cutting in cattle. We discuss the potential of promising small molecule biomarkers, including catecholamine/cortisol metabolites, lactate, succinate, inosine, glucose, and beta-hydroxybutyrate, and we identify a clear research gap for proteomic biomarker discovery in live cattle. We also explore the potential of chemical-sensing and biosensing technologies, including direct electrochemical detection improved through nanotechnology (e.g., carbon and gold nanostructures), surface-enhanced Raman spectroscopy in combination with chemometrics, and commercial hand-held devices for small molecule detection. No current strategy exists to rapidly detect predictive meat quality biomarkers due to the need to further validate biomarkers and the fact that different biosensor types are needed to optimally detect different molecules. Nonetheless, several biomarker/biosensor combinations reported herein show excellent potential to enable the measurement of DC potential in live cattle.

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