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Principles, Application, and Gaps of High-Intensity Ultrasound and High-Pressure Processing to Improve Meat Texture

Yago Alves de Aguiar Bernardo, Denes Kaic Alves do Rosário, Carlos Adam Conte‐Júnior

2023Foods26 citationsDOIOpen Access PDF

Abstract

In this study, we evaluate the most recently applied emerging non-thermal technologies (NTT) to improve meat tenderization, high-intensity ultrasound (HIUS), and high-pressure processing (HPP), aiming to understand if individual effects are beneficial and how extrinsic and intrinsic factors influence meat toughness. We performed a systematic literature search and meta-analysis in four databases (Web of Science, Scopus, Embase, and PubMed). Among the recovered articles (n = 192), 59 studies were included. We found better sonication time in the range of 2–20 min. Muscle composition significantly influences HIUS effects, being type IIb fiber muscles more difficult to tenderize (p < 0.05). HPP effects are beneficial to tenderization at 200–250 MPa and 15–20 min, being lower and higher conditions considered inconclusive, tending to tenderization. Despite these results, undesirable physicochemical, microstructural, and sensory alterations are still unknown or represent barriers against applying NTT at the industrial level. Optimization studies and more robust analyses are suggested to enable its future implementation. Moreover, combining NTT with plant enzymes demonstrates an interesting alternative to improve the tenderization effect caused by NTT. Therefore, HIUS and HPP are promising technologies for tenderization and should be optimized considering time, intensity, pressure, muscle composition, undesirable changes, and combination with other methods.

Topics & Concepts

Texture (cosmology)PascalizationIntensity (physics)High pressureUltrasoundMeat packing industryFood scienceMaterials scienceComputer scienceArtificial intelligenceAcousticsEngineering physicsBiologyEngineeringOpticsPhysicsImage (mathematics)Meat and Animal Product QualityRadiation Effects and DosimetryIdentification and Quantification in Food
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