Novel Analysis and Detection Approaches in Food Microbiology
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Microbiology".
Deadline for manuscript submissions: 20 May 2025 | Viewed by 96
Special Issue Editors
Interests: lactic acid bacteria; human breast milk microbiome; infant feces microbiome; probiotic potential; microbiological detection and identification methods
Interests: lactic acid bacteria; human breast milk microbiome; infant feces microbiome
Interests: antimicrobial resistance; bacteria; disinfectants; disinfection and sterilization technologies; food safety; infectious diseases; medical device; prion; public health; virus
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Food microbiology is essential for a large number of aspects of human well-being. It is a dynamic science that involves interdisciplinary methods with a wide range of applications—from pathogen detection to proof of the probiotic characteristics of microorganisms and their health claims. Microbiological methods of food microbiology cover microorganisms' growth, survival, and biochemical activity dynamics in food, food additives, and pharmaceuticals. Traditional microbiology methods (culture-dependent) are sometimes labor-intensive and time-consuming. However, they are the only way to isolate pure microbial cultures. The combined application of culture methods and MALDI-TOF-MS and 16S rRNA sequencing contribute to the development of a culturomics strategy for microorganism isolation and identification from complex environments. The rapid and novel culture-independent methods in microbiological tests provide more sensitive, precise, and reproducible results than conventional ones. Although conventional PCR, real-time quantitative PCR, ELISA, microarray and biochip technologies, etc., are the most rapid microbiology testing methods in food processing, an innovative trend in methods development enables the detection of multiple species in a single analysis.
Dr. Iliyana Rasheva
Dr. Trayana Nedeva
Prof. Dr. Akikazu Sakudo
Guest Editors
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Keywords
- food microbiology
- pathogen detection
- microorganisms
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