Maintaining optimal water quality is critical for the success of aquaculture operations, where pH monitoring plays a pivotal role. This study presents a novel approach for pH monitoring in aquaculture ponds by harnessing biomass-based indicators and smartphone-based colorimetric sensing using different setups designs. Three biomass indicators including red cabbage, mango leaf, and used coffee grounds extracts were tested. Standard solutions across a pH range of 1-13 were tested using four setups: black and white polypropylene enclosures, a polyethylene pipe assembly, and a polystyrene tray configuration. The polystyrene tray configuration was determined to be the most effective, as its longer light path (4.5 cm) significantly enhanced color visibility and produced more vibrant color changes, making it ideal for further investigations. The method is as follows:•Water samples were collected from aquaculture ponds. pH were analyzed using this method and standard pH meters.•Mango leaf extract showed strong pH sensitivity and correlation (R² =0.9654).•The mango leaf extract attained a quantification accuracy of 0.5 pH units within a pH range of 3-12.•This smartphone-based approach offers simplicity and ease of implementation empowering aquaculture farmers with a practical tool for monitoring water quality.
Global production of grapes and its associated waste streams continue to rise, but providing robust decision-making support for optimum valorization pathways remains a significant challenge. The emission intensity, free fraction, chemical diversity, and market performance indices have been rarely assessed in combination to establish a data-driven framework for grapevine berry valorization. To bridge this gap, a secondary open-access dataset was assessed in this study. This dataset synthesized published literature on volatile organic compound profiles across diverse grapevine berry samples.•Pearson correlation analysis conducted between emission intensity and diversity index.•t-test and ANOVA analysis performed to assess differences in diversity index across berry types and tissue sources.•Market performance analysis conducted to identify high-priority compounds for targeted extraction.•Emission intensity, free fraction, diversity index, and market performance indices were integrated into a unified valorization mapping system.•A multi-criteria evaluation framework developed for resource recovery decision-making.