tailieunhanh - Physicochemical and rheological characteristics of alcohol-free probiotic boza produced using Lactobacillus casei Shirota: Estimation of the apparent viscosity of boza using nonlinear modeling techniques

The effects of fermentation with 2 different starter culture mixtures composed of lactic acid bacteria (LAB) on some physicochemical, microbiological, sensorial, and rheological characteristics of boza, a traditional fermented Turkish beverage, during storage for 10 days at 8 °C were investigated. Lb. casei Shirota adapted in boza well and provided the boza with a probiotic property | Turkish Journal of Agriculture and Forestry Research Article Turk J Agric For (2013) 37: 475-487 © TÜBİTAK doi: Physicochemical and rheological characteristics of alcohol-free probiotic boza produced using Lactobacillus casei Shirota: estimation of the apparent viscosity of boza using nonlinear modeling techniques 1, 1 2 2 İsmet ÖZTÜRK *, Safa KARAMAN , Fatih TÖRNÜK , Osman SAĞDIÇ Department of Food Engineering, Engineering Faculty, Erciyes University, Kayseri, Turkey 2 Department of Food Engineering, Faculty of Chemical and Metallurgical Engineering, Yıldız Technical University, İstanbul, Turkey 1 Received: Accepted: Published Online: Printed: Abstract: The effects of fermentation with 2 different starter culture mixtures composed of lactic acid bacteria (LAB) on some physicochemical, microbiological, sensorial, and rheological characteristics of boza, a traditional fermented Turkish beverage, during storage for 10 days at 8 °C were investigated. Lb. casei Shirota adapted in boza well and provided the boza with a probiotic property. At the beginning of storage, the Lb. casei Shirota count of boza was log cfu mL–1, while total LAB counts were and log cfu mL–1 for S1 and S2 samples, respectively. A decrease in pH values was observed when the counts of LAB and Lb. casei Shirota increased during the storage period. Sensory acceptability scores were high for all boza samples but extending storage caused a decrease in sensory scores. Adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN), 2 important nonlinear modeling techniques, were used to construct the predictive models for the estimation of apparent viscosity during storage. All boza samples showed pseudoplastic flow behavior. Apparent viscosity decreased with increasing of shear rate, storage period, and measurement temperature. ANFIS showed better .

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