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Vol. 8, Special Issue 4 (2023)

Computational models for predicting the physico-chemical properties of dahi based on its sensory attributes

Author(s): Kumari M, Somveer, Vikram and Pramanik A
Abstract: Dahi, a known dairy delight, emerges from milk's elegant transformation through lactic acid fermentation. The pH of milk, typically at 6.7, transforms to 3.6-4.5 during fermentation. This shift encourages casein, a milk protein, to coagulate, creating a solid curd. In the dairy industry, Lactobacillus bulgaricus and Streptococcus thermophilus are the predominant bacteria. The quality of dahi is usually judged by 9-point hedonic scale based sensory score cards. The physico-chemical attributes of dahi generally are checked manually, which is a time-and resource-consuming process. So, this study aimed at development of computational models to predict the pH, titratable acidity (% LA) and density (kg/m3) of dahi. The predictive models showed good agreements with the experimental results. For example, the computational model for pH prediction had 0.79 level of correlation.
Pages: 71-76  |  219 Views  1 Downloads
How to cite this article:
Kumari M, Somveer, Vikram, Pramanik A. Computational models for predicting the physico-chemical properties of dahi based on its sensory attributes. Int J Vet Sci Anim Husbandry 2023;8(4S):71-76.
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International Journal of Veterinary Sciences and Animal Husbandry