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The overall goal of this protocol is to provide a comprehensive methodology for monitoring the microbial safety of various dairy products, including butter, cheese, milk, and cream, by employing MS for bacterial proteomic profiling. This approach, which combines modern culturomics with optimized sample preparation procedures, is intended to be a fast, reliable, and robust tool for food safety and quality control laboratories. The rationale behind creating and applying this methodology comes from the limitations of standard microbial identification methods. For many years, veterinary and food diagnostic laboratories have relied on conventional biochemical tests that examine bacterial growth and metabolism on differential culture media followed by various enzymatic assays1. While these methods, frequently based on such standard guidelines as those of Bergey's Manual of Determinative Bacteriology, are relatively inexpensive and can produce both quantitative and qualitative data, they are laborious and time-consuming, requiring extensive media preparation, sample dilution, plating, incubation, colony counting, isolation, and detailed characterization steps2,3.
The introduction of commercial semi-automated and automated systems such as Analytical Profile Index (API), BBL Crystal, Vitek, and Biolog MicroPlates streamlined microbial identification using biochemical assays, thereby reducing costs and turnaround times. However, these systems have some drawbacks, such as poor reproducibility, a lack of entries in their respective databases, and difficulties in determining phenotypic variations among strains, particularly for non-fermentative bacteria or strains within a species with minor biochemical differences, which could lead to incorrect in vitro results4. Given this, MS has evolved as a potent alternative, currently common in clinical microbiology and gaining attention in veterinary diagnostic and milk quality laboratories. This approach has been complemented by its speed, accuracy, and cost-effectiveness in detecting several microorganisms1. Numerous studies have demonstrated that MS offers more reliable identification of microorganisms from milk, delivering faster and cheaper results than commercial biochemical test systems5,6,7. While biochemical testing may suffice for genus-level or group-level identification, species-level diagnosis often necessitates more advanced methods like MS or 16S rRNA sequencing8. Indeed, MS is considered a promising platform for flexible and dependable identification of food microbial isolates, meeting diverse requirements of food microbiology laboratories through its simple protocols and significantly reduced analysis time, thereby enhancing food safety4,5. The operational costs are minimal due to low reagent consumption, and sample handling allows for greater automation and high throughput8. However, it should be noted that this method's utility is inherently dependent on microbial growth conditions selected (including culture media type) and a reference database species coverage, which are recognized as the key factors limiting its usefulness.
MS plays a significant role in food microbiology by identifying and differentiating foodborne pathogenic, lactic acid bacteria (LAB), and other fermentative bacteria9. Its utility extends to modern culturomics, enabling the identification of all microbial colonies grown on culture media and facilitating the acquisition of colony-forming unit (CFU) information7. This approach has already been successfully applied to discover such complex microbial communities as those presented in human intestines, involved in diabetic foot infections, or connected with the urinary tract, revitalizing culture-dependent methods in microbiological practices10,11.
This protocol is presented to guide laboratories in effectively implementing MS for the routine evaluation of microbial safety in dairy products, addressing the industry's need for reliable microbial identification within a practical turnaround time (TAT) suitable for manufacturing processes. The protocol details crucial steps, including (1) microbial isolation from liquid (milk, cream, whey) and solid (butter, cheese) dairy products using a selection of appropriate culture media (de Man, Rogosa and Sharpe agar - MRS agar, M-17 agar, All-Purpose Tween 80 agar - APT agar, China Blue Lactose agar - CBL agar, Milk Plate Count Agar - MPCA, Tryptic Soy Agar - TSA) and tailored incubation conditions; (2) standardized sample preparation procedures for MS analysis, offering options such as direct colony transfer, on-target formic acid extraction, and in-tube ethanol/formic acid protein extraction to accommodate different bacterial types and laboratory workflows; and (3) systematic MS analysis, including instrument calibration, defining optimal spectra acquisition parameters, and guidelines for data interpretation, including score value assessment and consistency checks for confident taxonomic assignment. By providing a structured and validated approach, this protocol aims to enhance the accuracy and efficiency of microbial monitoring in the dairy industry, ultimately contributing to improved food quality and public health.