Low-Cost Agricultural Waste-Based Adsorbents for Water Quality Improvement: Integration with WQI And Multivariate Statistical Analysis
Year: 2026
Type: article
Abstract: Increasing water pollution by industrialization, urbanization, and agricultural activities have created an urgent need for sustainable and cost-effective water treatment technologies. Agricultural waste-derived adsorbents, including rice husk, coconut shell, sugarcane bagasse, banana peel, peanut shell, corn cob, and sawdust, have emerged as promising alternatives to conventional adsorbents because of their low cost, abundance, biodegradability, and high adsorption capacity. At the same time, the Water Quality Index (WQI) has become an effective tool for converting complex water quality data into a single value, while the Langelier Saturation Index (LSI) and Ryznar Stability Index (RSI) are widely used to evaluate the scaling and corrosion characteristics of water. Principal Component Analysis (PCA) supports water quality assessment by identifying dominant pollutants and potential pollution sources from multivariate datasets. This short review highlights recent advances in agricultural waste-based adsorption, WQI, LSI, RSI, and PCA, and emphasizes their integration into a unified framework for sustainable water quality management. The review identifies existing research gaps, including limited field-scale validation, lack of standardized adsorbent preparation method, and insufficient integration of water quality assessment with treatment technologies. Future research should focus on developing intelligent, low-cost, and field-applicable water treatment systems supported by statistical and decision-making tools.
Authors: Wasnik, Manisha, Dhamge, Nina
Language: English
Subfield: Water Science and Technology
Field: Environmental Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7203488887
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