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This study aimed to assess the growth of spoilage bacteria in Brazilian vacuum-packed beef across different pH ranges (5.4-5.8, 5.8-6.1, ≥6.1) stored at temperatures of 0 °C, 4 °C, and 7 °C. Additionally, the research sought to identify predominant spoilage bacteria at the genus level using 16S rDNA gene sequencing and analyze the principal volatile organic compounds (VOCs) produced by this microbiota through HS-SPME/GC-MS. Lactic acid bacteria (LAB) consistently exhibited counts exceeding 6.0 Log CFU/g, regardless of temperature and pH conditions. The bacterial diversity in the meat samples reflected the influence of slaughterhouse environments, with Pseudomonas and Serratia remaining dominant across different cuts and pH levels. Post-storage, variations in pH and temperature modulated the initial bacterial diversity, leading to a reduction in diversity and an increase in LAB such as Lactobacillus, Lactococcus, Leuconostoc, and Carnobacterium. Notably, these changes were observed within pH ranges of 5.4-5.8 and 5.8-6.1, irrespective of beef cuts and storage temperatures. Based on high throughput sequencing and VOCS, correlation analysis revealed a relationship between the growth of specific spoilage microorganisms under vacuum conditions and the presence of VOCs such as alcohols (e.g., 1-propanol, 2-methyl-) and ketones (e.g., 2-nonanone, 2-octanone, 2-heptanone), identifying them as potential indicators of spoilage bacteria growth., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

This study estimates the shelf life of vacuum packed beef meat (three muscles: striploin (longissimus thoracis et lumborum, LTL), tenderloin (psoas major, PM) and outside chuck (trapezius thoracis, TT)) at refrigeration temperatures (0 °C-10 °C) based on modelling the growth of two relevant groups of spoilage microorganisms: lactic acid bacteria (LAB) and Enterobacteriaceae. The growth models were developed combining a two-step and a one-step approach. The primary modelling was used to identify the parameters affecting the growth kinetics, guiding the definition of secondary growth models. For LAB, the secondary model included the effect of temperature and initial pH on the specific growth rate. On the other hand, the model for Enterobacteriaceae incorporated the effect of temperature on the specific growth rate and the lag phase; as well as the effect of the initial pH on the specific growth rate, the lag phase and the initial microbial count. We did not observe any significant effect of the type of muscle on the growth kinetics. Once the equations were defined, the models were fitted to the complete dataset using a one-step approach. Model validation was carried out by cross-validation, mitigating the impact of an arbitrary division between training and validation sets. The models were used to estimate the shelf life of the product, based on the maximum admissible microbial concentration (7 log CFU/g for LAB, 5 log CFU/g for Enterobacteriaceae). Although LAB was the dominant microbiota, in several cases, both LAB and Enterobacteriaceae reached the critical concentration practically at the same time. Furthermore, in some scenarios, the end of shelf life would be determined by Enterobacteriaceae, pointing at the potential importance of non-dominant microorganisms for product spoilage. These results can aid in the implementation of effective control measures in the meat processing industry., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023. Published by Elsevier B.V.)