Food and Industrial Microbiology: Automation and Quality Control
AI and Digital Innovation in Microbiology: From Environmental Intelligence to Smart Bioprocessing, Matthew Chidozie Ogwu,Sylvester Chibueze Izah, Editör, IGI Global, Pennsylvania, ss.277-315, 2027
- Yayın Türü: Kitapta Bölüm / Araştırma Kitabı
- Basım Tarihi: 2027
- Doi Numarası: 10.4018/979-8-2600-5208-2.ch009
- Yayınevi: IGI Global
- Basıldığı Şehir: Pennsylvania
- Sayfa Sayıları: ss.277-315
- Editörler: Matthew Chidozie Ogwu,Sylvester Chibueze Izah, Editör
- Kayseri Üniversitesi Adresli: Evet
Özet
Quality control of microorganisms is critical for ensuring safety, stability and regulatory compliance of foods and industrial microbiology. Traditional culturebased methods remain the regulatory gold standard for validating product safety and hygiene. Advances in technology have improved contaminant detection and monitoring of microbiological dynamics. The integration of automated sensing with digital data systems enables traceability, real- time process control, and detection of quality deviations. Data- driven quality management systems are being investigated for predictive risk assessment and early contamination detection. Challenges exist in sensor reliability, data validation, regulatory acceptance, infrastructure compatibility, and workforce training, limiting broad adoption. Future frameworks will likely integrate traditional methods with automated monitoring systems for preventive, transparent quality management.