Vol. 6, Issue 2, Part B (2024)

The increasing demand for standardized medicinal plant products has highlighted the need for efficient, non-invasive methods for assessing fruit quality and phytochemical variability. This study evaluates the potential of non-destructive evaluation (Non-destructive Evaluation (NDE)) techniques, specifically hyperspectral imaging (Hyperspectral Imaging (HSI)) and near-infrared (Near-Infrared (NIR) spectroscopy) spectroscopy, in predicting the phytochemical content of medicinal fruits, including Phyllanthus emblica, Terminalia chebula, and Helicteres isora. These Non-destructive Evaluation (NDE) tools were used to predict the concentrations of key bioactive compounds such as total phenolics, flavonoids, and alkaloids, with results showing strong correlations with reference chemical assays. Principal component analysis (PCA) revealed that spectral and textural features captured by Non-destructive Evaluation (NDE) techniques were highly effective in distinguishing phytochemical variability across different species and ripeness stages. The study demonstrates that Non-destructive Evaluation (NDE) tools can provide accurate, rapid, and non-invasive predictions of phytochemical content, offering a viable alternative to traditional destructive methods. This approach holds promise for large-scale, real-time quality control in the herbal industry, ensuring consistency and quality in medicinal plant products. Future research should focus on expanding the range of phytochemicals analyzed and testing Non-destructive Evaluation (NDE) applications in field conditions to validate their practical feasibility in commercial settings. The integration of Non-destructive Evaluation (NDE) into quality control processes is a key step toward more sustainable, efficient, and standardized practices in herbal drug production.