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ARS Home » Northeast Area » Wyndmoor, Pennsylvania » Eastern Regional Research Center » Microbial and Chemical Food Safety » Research » Publications at this Location » Publication #383515

Research Project: Development of Predictive Microbial Models for Food Safety using Alternate Approaches

Location: Microbial and Chemical Food Safety

Title: High Pressure Processing of Raw Meat with Essential Oils- Microbial Survival, Meat Quality, and Models: A Review

Author
item CHUANG, SHIHYU - National Taiwan University
item Sheen, Shiowshuh - Allen

Submitted to: Food Control
Publication Type: Review Article
Publication Acceptance Date: 9/1/2021
Publication Date: 9/3/2021
Citation: Chuang, S., Sheen, S. 2021. High Pressure Processing of Raw Meat with Essential Oils- Microbial Survival, Meat Quality, and Models: A Review. Food Control. 132. https://doi.org/10.1016/j.foodcont.2021.108529.
DOI: https://doi.org/10.1016/j.foodcont.2021.108529

Interpretive Summary:

Technical Abstract: High pressure processing (HPP) is one of the most successful nonthermal technique adopted by the meat industry. Raw beef and poultry meats commercially produced using HPP are typically processed at intense pressure levels for microbiological safety purposes, which, however, have been associated with impact on quality attributes, e.g. texture, appearance/color, and oxidation of proteins/lipids. Research over the last decade has shown that HPP may be operated at mild settings without compromising bacterial inactivation when combined with plant-origin essential oils (EOs). This review discusses 1) the effects and the underlying mechanisms of HPP on bacterial inactivation and on meat quality, 2) the antimicrobial activities of individual or mixed EOs when combined with HPP, and 3) the development of statistical models for foodborne pathogen reduction using HPP involving multiple parameters, e.g. pressure level, holding time, temperature, concentrations of antimicrobial agents, etc., which may assist in process optimization of HPP-based hurdle technologies.