Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This study investigates the proximate analysis and sensory evaluations and consumer preferences of tutti frutti made from muskmelon rind (Cucumis melo) using three distinct preparation methods: traditional sugar syrup, citric acid preservation, and natural colorants. The nutritional analysis reveals that while fresh muskmelon rind is low in calories and sugar, the sugar syrup method significantly increases these metrics, potentially deterring health-conscious consumers. In contrast, the citric acid and natural colorants methods provide moderate caloric increases while enhancing fiber and vitamin C content. Sensory evaluations indicate that the sugar syrup method is preferred for its sweetness (average score: 8.25), while the citric acid method excels in color and texture, receiving high scores as well. Consumer surveys show strong market potential, with 80% of participants indicating a willingness to purchase muskmelon rind tutti frutti, particularly favoring the sugar syrup method (60%). The findings suggest that muskmelon rind tutti frutti, especially when prepared using the sugar syrup method, holds substantial market potential and aligns with consumer preferences.
Keywords:
Chemical-Free Tutti Frutti: A Green Approach Using Muskmelon Rinds
Cite Article:
"Chemical-Free Tutti Frutti: A Green Approach Using Muskmelon Rinds", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.b685-b701, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506183.pdf
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000276
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