Treatment of pastirma with pulsed UV light: Modeling of Staphylococcus aureus inactivation and assessment of quality changes

KEKLİK N. M.

FOOD SCIENCE AND TECHNOLOGY INTERNATIONAL, cilt.26, sa.2, ss.185-198, 2020 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 26 Sayı: 2
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1177/1082013219889231
  • Dergi Adı: FOOD SCIENCE AND TECHNOLOGY INTERNATIONAL
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Compendex, EMBASE, Food Science & Technology Abstracts, INSPEC, MEDLINE, Veterinary Science Database, DIALNET
  • Sayfa Sayıları: ss.185-198
  • Anahtar Kelimeler: Mathematical modeling, microbial inactivation, pastirma, pulsed UV light, Staphylococcus aureus, ESCHERICHIA-COLI O157-H7, LACTIC-ACID BACTERIA, SHELF-LIFE EXTENSION, LISTERIA-MONOCYTOGENES, MICROBIOLOGICAL QUALITY, SALMONELLA-ENTERICA, MEAT, PENETRATION, IRRADIATION, EXPOSURE
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

The efficacy of pulsed UV (PUV) light treatment carried out in a wide range of fluence was investigated on pastirma slices by characterizing Staphylococcus aureus inactivation using mathematical models and by assessing the treatment effects on quality attributes. Pastirma slices inoculated on top surface with S. aureus were subjected to pulsed UV light for 5, 15, 25, 35, and 45 s at 5, 8, and 13 cm from the quartz window. Although the 5 cm/45 s treatment (72.3 J/cm(2)) yielded a maximum reduction of 2.99 log cfu/cm(2) for S. aureus, this treatment changed the color, moisture, and thiobarbituric acid-reactive substances (TBARS) values of pastirma significantly (p < 0.05). The quality of pastirma tended to change above 20 J/cm(2), below which the highest log reduction of S. aureus was similar to 1.3 log cfu/cm(2) obtained after the 8 cm/15 s treatment (18 J/cm(2)). Kamau's model provided better fit to inactivation data (root mean square error: 0.049-0.116, A(f): 1.013-1.046, R-2: 0.991-0.999) than Cerf's and Weibull models.