Formulation, Standardization and Sensory Evaluation of Multigrain Mathri
Mushtaq Ayub Dange
, Mayuri Manohar Kashid , Punam Kale
Fibre rich snack, Multigrain, Mathri, Nutrition.
This study focuses on the formulation and evaluation of Multigrain Mathri, a fiber-rich snack incorporating multigrain and spices. The objective was to develop a nutritious and consumer-acceptable snack using various grain flours, including sorghum, rice, pearl millet, dried green peas, oats, and gram flour. The physical and chemical properties of the product were analyzed. The best-accepted sample, Sample D, exhibited good sensory attributes, including a crunchy texture and enhanced taste, primarily due to the inclusion of whole wheat flour and rice flour. The final product had 11.62% protein, 9.13% fat, 54.44% carbohydrates, 10.42% fiber, and 3.64% ash content, indicating its nutritional richness. This positions the Multigrain Mathri as a cost-effective and viable snack alternative. The study concludes that Multigrain Mathri is a healthy, fiber-rich snack suitable for vegetarians and vegans. Its nutritional benefits, ease of preparation, and lack of preservatives make it a promising ready-to-cook snack option. Further research is suggested to explore alternative cooking methods like baking and improve storage stability.
"Formulation, Standardization and Sensory Evaluation of Multigrain Mathri", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.10, Issue 7, page no.b351-b358, July-2025, Available :https://ijsdr.org/papers/IJSDR2507140.pdf
Volume 10
Issue 7,
July-2025
Pages : b351-b358
Paper Reg. ID: IJSDR_304209
Published Paper Id: IJSDR2507140
Downloads: 000467
Research Area: Others area
Country: SATARA, Maharashtra( महाराष्ट्र ), India
DOI: https://doi.org/10.56975/ijsdr.v10i7.304209
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave