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Study on adsorption of modified biochar based on multiple regression model

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DOI: 10.23977/analc.2025.040101 | Downloads: 4 | Views: 137

Author(s)

Lingge Shi 1, Qifei Yan 1, Xinyang Li 2, Jianing Zhang 1

Affiliation(s)

1 School of Pharmacy, Shenyang Pharmaceutical University, Shenyang, 110016, China
2 School of Pharmaceutical Engineering, Shenyang Pharmaceutical University, Shenyang, 110016, China

Corresponding Author

Lingge Shi

ABSTRACT

With the rapid development of industrialization and urbanization, industrial wastewater discharge, excessive use of agricultural fertilizers and pesticides, and improper waste disposal have all led to the intensification of water pollution, making the development of efficient and economical water treatment technologies increasingly important. Aiming at the adsorption effect of modified biochar on arsenic ions (As(V)) and roxarsone (ROX) in water bodies, a model was established and systematically analyzed based on polynomial regression theory. This study explores the effects of reaction temperature, solution pH, and adsorbent dosage, three key factors, on adsorption efficiency. By combining ridge regression with GridSearchCV, mathematical optimization techniques were employed to identify the conditions for maximum adsorption capacity. The optimal adsorbent dosage was found to be 0.2 g/L, the optimal temperature was 17.47°C, and the optimal pH value was 5.02. These findings provide a scientific basis and decision support for the application of modified biochar in water treatment, with significant environmental and economic implications.

KEYWORDS

Modified Biocarbon, Arsenic Ion (As (V)), Roxarsone (ROX), Ridge Regression, Multinomial Regression Model

CITE THIS PAPER

Lingge Shi, Qifei Yan, Xinyang Li, Jianing Zhang, Study on adsorption of modified biochar based on multiple regression model. Analytical Chemistry: A Journal (2025) Vol. 4: 1-6. DOI: http://dx.doi.org/10.23977/analc.2025.040101.

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