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Optimizing the acceleration of Cheddar cheese ripening using response surface methodology by microbial protease without altering its quality features.

ABSTRACT: Cheddar cheese proteolysis were accelerated employing Penicillium candidum PCA1/TT031 protease into cheese curd. In the present study, several of the significant factors such as protease purification factor (PF), protease concentration and ripening time were optimized via the response surface methodology (RSM). The ideal accelerated Cheddar cheese environment consisted of 3.12 PF, 0.01% (v/v) protease concentration and 0.6/3 months ripening time at 10 °C. The RSM models was verified to be the most proper methodology for the maintain of chosen Cheddar cheese. Under this experimental environment, the pH, acid degree value (ADV), moisture, water activity (a_w), soluble nitrogen (SN)%, fat and overall acceptability were found to be 5.4, 6.6, 35%, 0.9348, 18.8%, 34% and 13.6, respectively of ideal Cheddar cheese. Furthermore, the predicted and experimental results were in significant agreement, which confirmed the validity and reliability of the suggested method. In spite of the difference between the ideal and commercial Cheddar cheese in the concentration of some of amino acids and free fatty acids, the sensory evaluation did not show any significant difference in aroma profile between them.

SUBMITTER: Alhelli AM

PROVIDER: S-EPMC7984165 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

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Optimizing the acceleration of Cheddar cheese ripening using response surface methodology by microbial protease without altering its quality features.

Alhelli Amaal Mohammed AM Mohammed Nameer Khairulla NK Khalil Eilaf Suliman ES Hussin Anis Shobirin Meor ASM

AMB Express 20210322 1

Cheddar cheese proteolysis were accelerated employing Penicillium candidum PCA1/TT031 protease into cheese curd. In the present study, several of the significant factors such as protease purification factor (PF), protease concentration and ripening time were optimized via the response surface methodology (RSM). The ideal accelerated Cheddar cheese environment consisted of 3.12 PF, 0.01% (v/v) protease concentration and 0.6/3 months ripening time at 10 °C. The RSM models was verified to be the mo ...[more]

PMID: 33751265

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Project description:Shotgun metagenomic sequencing was used to investigate the diversity of the microbial community of Cheddar cheese ripened over 32 months. The changes in taxa abundance were compared from assembly-based, non-assembly-based, and mOTUs2 sequencing pipelines to delineate the community profile for each age group. Metagenomic assembled genomes (MAGs) passing the quality threshold were obtained for 11 species from 58 samples. Although Lactococcus cremoris and Lacticaseibacillus paracasei were dominant across the shotgun samples, other species were identified using MG-RAST. NMDS analysis of the beta diversity of the microbial community revealed the similarity of the cheeses in older age groups (7 months to 32 months). As expected, the abundance of Lactococcus cremoris consistently decreased over ripening, while the proportion of permeable cells increased. Over the ripening period, the relative abundance of viable Lacticaseibacillus paracasei progressively increased, but at a variable rate among trials. Reads attributed to Siphoviridae and Ascomycota remained below 1% relative abundance. The functional profiles of PMA-treated cheeses differed from those of non-PMA-treated cheeses. Starter rotation was reflected in the single nucleotide variant profiles of Lactococcus cremoris (SNVs of this species using mOTUs2), while the incoming milk was the leading factor in discriminating Lacticaseibacillus paracasei/casei SNV profiles. The relative abundance estimates from Kraken2, non-assembly-based (MG-RAST) and marker gene clusters (mOTUs2) were consistent across age groups for the two dominant taxa. Metagenomics enabled sequence variant analysis below the bacterial species level and functional profiling that may affect the metabolic interactions between subpopulations in cheese during ripening, which could help explain the overall flavour development of cheese. Future work will integrate microbial variants with volatile profiles to associate the development of compounds related to cheese flavour at each ripening stage.

Project description:The aim of this study was to investigate the temporal stability of microbial contamination during cheddar cheese production by examining patterns of nonstarter bacteria in 60-day aged cheddar collected from the start and end of 30 consecutive production days. Further, we explored the source of these temporal microbial variations by comparing microbial communities in the aged cheese to those on food contact surfaces from a piece of cheesemaking equipment previously identified as a major source of nonstarter bacteria in the same processing environment. 16S rRNA metabarcoding and culture-based sequencing methods identified two Streptococcus sequence variants significantly associated with the end of the production day in both the aged cheese and the cheese processing environment. Closer inspection of these sequence variants in the aged cheese over the 40-day sampling period revealed sinusoidal-like fluctuations in their relative ratios, which appeared to coincide with the Lactococcus starter rotation schedule. These results demonstrate that the microbial composition of finished cheese can vary according to the timing of processing within a production day. Further, our results demonstrate that time-of-day microbial differences in cheese can result from bacterial growth on food contact surfaces and that the composition of these microbial differences is subject to change day-to-day and may be linked to routine changes in the Lactococcus starter culture. IMPORTANCE Long production schedules used in modern cheese manufacturing can create circumstances that support the growth of microorganisms in the cheese processing environment. This work demonstrates that this growth can lead to significant changes in the microbial quality of aged cheese produced later in the production day. Further, we demonstrate that the dominant bacteria associated with these microbial changes throughout production are subject to change between days and might be influenced by specific cheese manufacturing practices. These findings improve understanding of microbial contamination patterns in modern food manufacturing facilities, thereby improving our ability to develop strategies to minimize quality losses due to microbial spoilage.

Dataset Information

Optimizing the acceleration of Cheddar cheese ripening using response surface methodology by microbial protease without altering its quality features.

Publications

Optimizing the acceleration of Cheddar cheese ripening using response surface methodology by microbial protease without altering its quality features.

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