Nucleic acid-based approaches to investigate microbial-related cheese quality defects
Подходы на основе нуклеиновых кислот для исследования дефектов качества сыра, связанных с микроорганизмами
2013-01-01
SCID: 54.1/77zdrm36
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DNA-based detectioncheese quality defectsmolecular techniquesnucleic acid-based methodsspoilage bacteria
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Abstract (AI)
The microbial profile of cheese is a primary determinant of cheese quality. Microorganisms can contribute to aroma and taste defects, form biogenic amines, cause gas and secondary fermentation defects, and can contribute to cheese pinking and mineral deposition issues. These defects may be as a result of seasonality and the variability in the composition of the milk supplied, variations in cheese processing parameters, as well as the nature and number of the non-starter microorganisms which come from the milk or other environmental sources. Such defects can be responsible for production and product recall costs and thus represent a significant economic burden for the dairy industry worldwide. Traditional non-molecular approaches are often considered biased and have inherently slow turnaround times. Molecular techniques can provide early and rapid detection of defects that result from the presence of specific spoilage microbes and, ultimately, assist in enhancing cheese quality and reducing costs. Here we review the DNA-based methods that are available to detect/quantify spoilage bacteria, and relevant metabolic pathways in cheeses and, in the process, highlight how these strategies can be employed to improve cheese quality and reduce the associated economic burden on cheese processors.
Key Findings
1
Cheese microbial profiles are primary determinants of quality and can cause aroma, taste, biogenic amine, gas, secondary fermentation, pinking, and mineral deposition defects.
2
DNA-based methods can detect or quantify spoilage bacteria and relevant metabolic pathways, supporting improved cheese quality and reduced processing costs.
3
Defects arise from seasonal milk variability, processing conditions, and non-starter microorganisms originating from milk or environmental sources.
4
Microbial-related defects generate substantial economic costs through production losses and product recalls across the dairy industry.
5
Traditional non-molecular methods are often biased and slow, whereas nucleic acid-based techniques enable earlier and faster detection of spoilage microbes.
Research Object
microbial-related quality defects in cheese
Research Subject
DNA-based detection and quantification of spoilage bacteria and relevant metabolic pathways to improve cheese quality
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2013-01-01
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