title: Assessing the quality of sardine based on biogenic amines using a fuzzy logic model.
abstract: There is an increasing concern about the quality and quality assessment procedures of seafood. In the present study, a model to assess fish quality based on biogenic amine contents using fuzzy logic model (FLM) is proposed. The fish used was sardine (Sardinella sp.) where the production of eight biogenic amines was monitored over fifteen days of storage at 0, 3 and 10°C. Based on the results, histamine, putrescine and cadaverine were selected as input variables and twelve quality grades were considered for quality of fish as output variables for the FLM. Input data were processed by rules established in the model and were then defuzzified according to defined output variables. Finally, the quality of fish was evaluated using the designed model and Pearson correlation between storage times with quality of fish showed r=0.97, 0.95 and 1 for fish stored at 0, 3 and 10°C, respectively.
authors.affiliation: Biotechnology Center, Iranian Research Organization for Science and Technology, Tehran, Iran; Department of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia. Electronic address: zare@irost.ir.
authors.forename: Davood
authors.initials: D
authors.lastname: Zare
authors.affiliation: Department of Food Science, Faculty of Food Science and Technology, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia.
authors.forename: H M
authors.initials: HM
authors.lastname: Ghazali
mesh_terms: D000818:Animals; D001679:Biogenic Amines / Q000032:analysis*; D005399:Fishes; D063427:Food Quality; D017143:Fuzzy Logic; D017747:Seafood / Q000032:analysis*
chemical_list: D001679:Biogenic Amines
keywords: Biogenic amines; Cadaverine; Fish quality; Fuzzy logic model; Histamine; Putrescine