Integrated machine learning and response surface methodology for screening and optimization of high-performance Mg-modified bamboo biochar for phosphorus adsorption in water

IF 5.6 1区农林科学 Q1 AGRICULTURAL ENGINEERING

Industrial Crops and Products Pub Date : 2025-05-20 DOI:10.1016/j.indcrop.2025.121213

Yuheng Han, Lingzhi Zhu, Xiaoran Li, Dongxu Cui, Jinjin Li, Kehui Cen, Dengyu Chen

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引用次数: 0

Abstract

Biochar adsorption is an effective method for removing excessive phosphorus from water bodies. In this study, the phosphorus adsorption capacity of biochar was investigated using a machine learning (ML) approach. A dataset consisting of 762 previously published data points from 122 types of biochar was analyzed, with the Random Forest model yielding the best performance (test R² = 0.98, test RMSE = 13.79). The predictions were validated through conducting laboratory experiments on 17 Mg-modified bamboo biochar samples (R² = 0.97, RMSE = 2.8, Q_max = 235.31 mg/g). The optimal preparation conditions were found to be a pyrolysis temperature of 700 °C, pyrolysis time of 3 h, and MgCl₂ concentration of 3 mol/L. X-ray photoelectron spectroscopy confirmed that adsorption performance is positively correlated with Mg content. Kinetic and isotherm tests (Langmuir Q_max = 240.55 mg/g) further supported these findings, providing insights for the preparation of high-performance Mg-modified bamboo biochar.

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综合机器学习和响应面法筛选和优化镁改性竹生物炭在水中吸附磷的性能

生物炭吸附是去除水体中过量磷的有效方法。本研究采用机器学习（ML）方法研究了生物炭对磷的吸附能力。对来自122种生物炭的762个已发表数据点的数据集进行了分析，随机森林模型的性能最好（检验R²= 0.98，检验RMSE = 13.79）。通过17个mg改性竹炭样品（R²= 0.97,RMSE = 2.8, Qmax = 235.31 mg/g）的室内实验验证了预测结果。最佳制备条件为热解温度700℃，热解时间3 h， MgCl2浓度3 mol/L。x射线光电子能谱证实吸附性能与Mg含量呈正相关。动力学和等温实验（Langmuir Qmax = 240.55 mg/g）进一步支持了这些发现，为制备高性能镁改性竹生物炭提供了新的思路。

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来源期刊

Industrial Crops and Products 农林科学-农业工程

CiteScore

9.50

自引率

8.50%

发文量

1518

审稿时长

43 days

期刊介绍： Industrial Crops and Products is an International Journal publishing academic and industrial research on industrial (defined as non-food/non-feed) crops and products. Papers concern both crop-oriented and bio-based materials from crops-oriented research, and should be of interest to an international audience, hypothesis driven, and where comparisons are made statistics performed.