Amla pomace, a by-product of juice processing, is abundant in phytochemicals and fiber but remains largely unutilized. Because it contains more moisture, drying is necessary to prevent microbial spoilage, improve stability, and increase shelf life, making it suitable for use in value-added foods and nutraceutical products. The drying behaviour of amla pomace dried in a computer-controlled tray drier at different drying temperatures, DT (50, 60, and 70°C) and air velocities, AV (0.9, 1.0, and 1.1 m/s) was therefore explored. Drying of amla pomace was observed to follow falling rate period pattern over the DT and AV range. Five thin-layer drying models were evaluated for amla pomace, and the Page model showed the best fit with the highest R² and lowest χ² and RMSE values. An ANN model with a 3–3–4–1 topology predicted the drying behaviour of amla pomace with greater accuracy than the page model. Furthermore, the effective moisture diffusivity (Deff) and activation energy (Ea) were estimated using linearization and DA-nlinfit methods, with latter method predicted both Deff and Ea at lower RMSE and higher R2 values. Also, the mass transfer coefficient and Gibbs free energy increased with increasing DT, while enthalpy followed converse trend, as determined by the DA-nlinfit method. Further, rise in DT adversely affected the phytochemical attributes and colour quality of pomace powder, although AV helps in retention of all these quality attributes of amla pomace powder. Nonetheless, phenolic content, total flavonoid content and DPPH assay was found to be maximum at 60°C and 1.1 m/s, while colour attributes and ascorbic acid content was most preserved at 50°C and 1.1 m/s. Additionally, microstructural analysis confirmed that higher DT lagged behind in preserving the cellular matrix of pomace.
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