Literature DB >> 36193472

Optimization of the frying process in relation to quality characteristics of Khaja (A traditional sweet).

Sourabh Kumar1, Abhishek Chandra1,2, Prabhat K Nema1, Vijay Singh Sharanagat1, Sachin Kumar1, Palmei Gaibimei3.   

Abstract

The present study was focused on the optimization of process parameters and quality characterization of Khaja. A full factorial design 53 was applied using different levels of fat proportions (5-25%), frying temperature (160-200 °C), and frying time (1-5 min). The response optimizer function in Minitab 18 software was used to select five samples with the highest desirability which were then subjected to sensory analysis. The lightness of the samples decreased significantly (P ˂ 0.05) from 68.59 to 43.33 whereas, redness increased significantly (P ˂ 0.05) from 0.26 to 11.48 with increasing levels of all independent variables. Water activity and moisture content of the samples decreased significantly (P ˂ 0.05) from 0.75 to 0.21 and 14.41-1.40%wb respectively, whereas total fat content increased significantly (P ˂ 0.05) from 25.05 to 45.7% with increasing levels of independent variables. The hardness of the samples significantly (P ˂ 0.05) varied from 60.45 to 7.69 N. The sensory analysis revealed that the sample with 20% fat proportion, fried at 180 °C for 4 min, scored maximum in overall acceptability. The microstructural images revealed the structural damage and formation of pores in fried samples. The fatty acid analysis showed higher saturated fatty acids in market samples than in optimized samples. The results of the study concluded that fat proportion and frying parameters (temperature and time) are crucial for a better understanding of the deep-frying process of Khaja in order to achieve good quality. Supplementary Information: The online version contains supplementary material available at 10.1007/s13197-022-05509-x. © Association of Food Scientists & Technologists (India) 2022.

Entities:  

Keywords:  Deep-frying; Fat proportion; Khaja; Microstructure; Sensory analysis; Texture

Year:  2022        PMID: 36193472      PMCID: PMC9525483          DOI: 10.1007/s13197-022-05509-x

Source DB:  PubMed          Journal:  J Food Sci Technol        ISSN: 0022-1155            Impact factor:   3.117


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