Preparation, Processing and Nutritional Attribute of Mango By-Products
Journal: International Journal of Science and Research (IJSR) (Vol.7, No. 10)Publication Date: 2018-10-05
Authors : Keshwani Deeksha; Mishra Sunita;
Page : 714-717
Keywords : mango by-products; processing; nutritional analysis; phytonutrients;
Abstract
Mango by-product such as seeds and peel contain a high amount of enhancing substances such as (antioxidant, vitamin c. and dietary fibre). The study was carried out to investigate by different processing method for the production of new product by using mango by-products which include mango peel powder, mango pulp powder and mango seed powder. The determination of nutrient composition of the products were tested by 6 parameters such as fat, protein, carbohydrate, energy, moisture, and ash contain The utilization of mango by-product has become an important aspect in waste management to contribute to more production in food industries as well as pharmaceutical industries. The utilization of mango by- products enhances due to the quality of mango by products that are rich source of many utilizable component. The product formation by using the mango by-products contain many health enhancement substances for a balance diet. These product optimizes the availability of energy, protein, carbohydrate and fat. as the result of phytonutrient and Nutrient analysis per 100gm of product formation reveled 371 kcal, 7.81g protein in mango breakfast cereal and 298 kcal, 5.25 protein present in mango chutney. Thus conforming that the developed product is nutritious and healthy innovation.
Other Latest Articles
- Application of Central Composite Design for Optimization Machining Parameters When Machine Magnesium AZ31
- Cervical Agenesis: Is Hysterectomy the Only Answer?
- Anaesthetic Management of a Newborn with Giant Occipitalmenigocele, Cleft Lip&Palate and Cardiac Abnormality
- Implementation of High Speed Flash ADC Using Multiplexer with Reduced Number of Preamplifier and Comparator Count
- Mobile-based Cattle Infectious Disease Prediction System
Last modified: 2021-06-28 20:15:55