Spoilage detection of smart packaged chicken meat by ddPCR


BAYRAKAL G. M., Çiftçioğlu G.

European Food Research and Technology, cilt.249, sa.10, ss.2635-2645, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 249 Sayı: 10
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1007/s00217-023-04321-x
  • Dergi Adı: European Food Research and Technology
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, ABI/INFORM, Agricultural & Environmental Science Database, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Chemical Abstracts Core, Compendex, Food Science & Technology Abstracts, Hospitality & Tourism Complete, Hospitality & Tourism Index, Veterinary Science Database
  • Sayfa Sayıları: ss.2635-2645
  • Anahtar Kelimeler: Biogenic amine, ddPCR, Smart packaging, Spoilage
  • İstanbul Üniversitesi Adresli: Evet

Özet

Nowadays, it is important for the food industry and public health that food reaches the consumer from production to consumption without spoiling. Smart packaging technologies are one of the new technologies informing the manufacturer and customer. In order to prevent spoiled food from being consumed, it is necessary to identify the deterioration as quickly as possible. The aim of the study is to determine the applicability of smart packaging technology and usability of Digital Droplet PCR for quick and accurate spoilage detection by evaluating the quantity of genes involved in biogenic amines synthesis that occurs during spoilage. The accumulation of biogenic amines, which are spoilage products, in foods until they are detected, and the consumption of these foods pose a risk to public health. In this study, chicken meats were analyzed on specific days in terms of microbiological, physicochemical, and molecular aspects. The 9th day was determined to be the start of the degradation when the quantity of microorganisms exceeded 108 cfu/g, based on the microbiological data obtained from chicken meats. On the same day according to the ddPCR data, the gene duplication number was found to be over 50–60 copies. Within the light of this information, the upper limit for the detection of degradation of histamine and putrescine-producing is interpreted as 50 copies. When the results of the microbiological analyses and ddPCR data were compared, it was shown that ddPCR method when used in combination with the smart labels can be applicable for quick deterioration detection in smart packaging systems.