Formulation and quality characterization of soy milk based dietary ice cream with the incorporation of probiotics and utilization, of fruit waste as a functional ingredient
Journal Title: International Journal for Modern Trends in Science and Technology - Year 2024, Vol 10, Issue 9
Abstract
Ice cream production is a complex process involving various stages such as pasteurization, homogenization, aging, freezing, and packaging. The quality and characteristics of ice cream depend on several factors including ingredients, processing parameters, and equipment used. The purpose of this paper was to formulate an ice cream with soy milk and cow milk & banana powder. Three formulations of ice cream were prepared: one soy-based (containing soy milk 70% , cow milk 30%) and this is control sample, the other with soy-based probiotic ice cream (containing soy milk 70% , cow milk 30%,lactobacillus lactis culture ) and last one is sugar free (containing 100 % cows milk only lactobacillus lactis culture ) & for the sugar replacement here we added dextrose,fructo-oligosaccharide & oligofructose) & for all the three types of ice creams here we used ripened banana powder as it is prebiotic ingredient. The rapid increase in plant waste production in the agri-food industry is a significant global issue, considering storage, disposal, environmental impacts and potential health risks. The objective of this study was to find out whether Musasava banana skin flour (BPF) and jackfruit seed flour are suitable as substitutes for maida flour in making ice cream cones. Here, different percentages of BPF and JSF were combined to replace maida in different percentages and the results were checked. Cone prepared from a combination of 40% JSF as maida substitute and 10% BPF as maida substitute and this waffle cone preparation had 50% additional maida making up the rest.
Authors and Affiliations
Ashwini H D, Sanjana V, Dr. Sathish G J, Sandeepa D N, Ajay K R and Sneha B S
Keywords
Related Articles
- EP ID EP747874
- DOI https://doi.org/10.46501/IJMTST1009026
- Views 2
- Downloads 0
Federated – Ensemble Learning (FEL) Techniques on Healthcare Data Privacy: A Review
In the realm of healthcare, protecting patient privacy by harnessing extensive medical data for enhanced clinical outcomes presents a significant challenge. Federated learning (FL) offers a promising solution by enabling...
A Machine Learning Approach to Identifying StrayDogs
The goal of "A Machine Learning Approach to Identifying Stray Dogs" is to create a comprehensive system that uses deep learning techniques to detect stray dogs, evaluate their health, and handle user complaints through t...
Custom Learning Management System for an Institution
This paper explains how a custom Learning Management System (LMS) can improve the learning and teaching experience in educational institutions. An LMS is an online platform where students and teachers can connect, share...
The Role of Forces in Engineering Applications: Friction, Gravity, and Tension-A Review
The role of forces in engineering applications: friction, gravity, and tension. Friction, gravity, and tension are forces commonly used in engineering. It is important to be able to identify each type of force acting on...
Prediction of Diabetes in Early Stage through Machine Learning
The goal of this project is to create a system that uses machine learning to forecast the early signs of diabetes. Diabetes is a widespread, long-term condition with serious health consequences, and spotting it early is...