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Abstract
The increasing demand for healthy and protein-rich snack foods has encouraged the use of legumes in snacks product development. This study was carried out to formulate and evaluate crackers prepared from Vigna radiata (moong dal) flour and Cicer arietinum (chickpea) flour. Both flours are rich in protein, dietary fiber, and essential micronutrients, making them suitable alternatives to refined wheat flour. Crackers were prepared using different proportions of moong and chickpea flour blends and analysed for their nutritional, physicochemical, and sensory characteristics. Proximate analysis showed that the incorporation of legume flours significantly improved protein and fiber content compared to conventional wheat-based crackers. Functional properties such as dough handling and spread ratio were also positively influenced by the flour blends. Sensory evaluation indicated good overall acceptability, particularly in terms of flavour, crispness, and texture, with formulations containing balanced ratios of both flours receiving the highest scores. The results suggest that moong and chickpea flour can be successfully utilized in crackers production to enhance nutritional quality while maintaining consumer acceptability. This approach highlights the potential of legume-based crackers as a sustainable and health-oriented snack option for wider commercialization.
Keywords:
moong dal, chickpea, sensory evaluation etc.
Cite Article:
"PROTEIN –ENRICHED CRACKERS USING VINGA RADIATA AND CICER ARIETINUM (LENTIL CRACKERS) LENS ESCULENTA", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.10, Issue 10, page no.a318-a329, October-2025, Available :http://www.ijrti.org/papers/IJRTI2510029.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator