Development and Nutritional Profiling of Cinnamon-Based Polyherbal Granola for Management of Polycystic Ovarian Disorder

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Srishty Tyagi, Rachna Gupta

Abstract

Polycystic ovarian disorder (PCOS) is a predominant endocrine-metabolic disorder categorized as insulin resistance, hormonal imbalance, and chronic inflammation, requiring directed dietary interventions. The current research has developed and nutritionally profiled a cinnamon-based polyherbal granola formulation appropriate for the management of PCOS. Fifteen formulations were created and assessed based on macronutrient and micronutrient configuration. A multi-criteria decision-making (MCDM) approach using the Analytic Hierarchy Process (AHP) was functional to allocate methodically resulting weights to acute nutritional constraints, containing protein, sugar, magnesium, zinc, lipid profile, sodium, and energy content. Combined nutritional scores were calculated to classify the most appropriate formulation.
Amongst all samples, Formulation 11 established higher nutritional features, comprising the lowest sugar content (10.4 g/100 g), highest protein (18 g/100 g), prominent magnesium (188 mg/100 g) and zinc (3 mg/100 g), and a promising unsaturated fat profile. The reliability ratio (CR = 0.026) established the reliability of the AHP model. Sensory assessment by means of a 9-point hedonic scale with seven trained panelists specified high suitability across taste, texture, aroma, color, and overall acceptability, with mean scores above 7.5.
The outcomes specify that Formulation 11 effectively assimilates metabolic functionality with sensory appeal, representing possible functional cereal-based dietary involvement for PCOS management. In terms of methodological limitations, glycemic index was not measured experimentally. Also, metabolic functionality is inferred rather than directly tested. This study proposes a nutritionally balanced composition with potential dietary significance in PCOD control, although it makes no claims regarding therapeutic efficacy. Additional clinical validation is suggested to measure long-term therapeutic effectiveness.

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