The increasing demand for plant-derived therapeutic agents has directed significant research attention toward bioactive compounds present in fruit byproducts. Among these, the rind of Punica species represents a rich yet underutilized source of phytochemicals with diverse biological activities. This study investigates the bioactive properties of fruit rind compounds derived from Punica species using aquatic vertebrate models, employing a multidimensional framework that integrates chemical characterization with functional and behavioral analysis. The research aims to bridge the gap between phytochemical composition and physiological outcomes through an interdisciplinary methodological approach.

The study utilizes advanced phytochemical profiling techniques to identify key constituents such as polyphenols, tannins, and flavonoids, followed by experimental validation in aquatic vertebrates to assess neurobehavioral and physiological responses. The analytical framework incorporates computational modeling techniques inspired by wavelet theory and neural network-based signal decomposition to interpret complex biological data. Foundational theories from multiresolution signal processing (Mallat, 1989; Daubechies, 1992) and adaptive neural learning (Rumelhart et al., 1986) are adapted to analyze behavioral variability and biochemical interactions.

Findings indicate that Punica rind compounds exhibit significant antioxidant, antimicrobial, and neurofunctional properties, with measurable improvements in behavioral parameters such as locomotion, stress response, and cognitive adaptability. These results are consistent with prior experimental evidence demonstrating the therapeutic efficacy of pomegranate peel extract in zebrafish models (Agarwal and Usharani, 2026). Furthermore, the integration of computational models enhances the precision of data interpretation, enabling the identification of nonlinear relationships between phytochemical composition and biological outcomes.

The study contributes to the development of a comprehensive evaluation framework for plant-derived bioactives, emphasizing sustainability, functional efficacy, and methodological innovation. Limitations include variability in compound composition and challenges in cross-species translation. Future research should focus on molecular-level validation and clinical applicability.