Scholarlink

<p>Fluoride contamination in groundwater poses serious health risks, requiring effective, sustainable treatment. This study investigates <i>Sesbania grandiflora</i> activated carbon as an adsorbent for fluoride removal, emphasizing material characterization and adsorption optimization via artificial neural networks. Objectives included characterizing the carbon before and after fluoride removal using Fourier Transform Infrared Spectroscopy, Scanning Electron Microscopy, Energy Dispersive X-ray analysis, and X-ray Diffraction; evaluating process parameters (particle size, dosage, agitation speed, contact time); and developing a neural network model to predict fluoride removal performance. Fourier Transform Infrared Spectroscopy analysis identified key functional groups including O–H stretching (3442.94&#xa0;cm⁻<sup>1</sup>) and C = O stretching (1743.65&#xa0;cm⁻<sup>1</sup>), with post-adsorption shifts to C = C stretching (1645.28&#xa0;cm⁻<sup>1</sup>) and peaks at 873.75–580.57&#xa0;cm⁻<sup>1</sup>. The Scanning Electron Microscope showed a porous structure, which became less porous after fluoride binding. Energy Dispersive X-ray confirmed fluoride adsorption, with increases in carbon (78.3–78.8%), oxygen (16.5–17.1%), and sodium (Na) (2.1%). X-ray Diffraction showed strong crystalline peaks before adsorption and new peaks at 20°, 30°, and 50° after. Fluoride removal reached 86.3%, reducing levels from 4.50 to 0.62&#xa0;mg/L. It also removed iron, magnesium, calcium, and sulphate, while increasing pH from 6.5 to 7.4. The artificial neural network model accurately reproduced results (coefficient of determination = 0.9523, error &lt; 5%). Unlike conventional carbons, Sesbania grandiflora activated carbon removes multiple contaminants, improves potential of hydrogen, and is a cost-effective, sustainable solution. Its adsorption efficiency and predictive accuracy highlight real-world potential for safer drinking water in fluoride-contaminated regions.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Fluoride removal from groundwater using Sesbania grandiflora activated carbon: optimization and ANN modeling

  • 期刊论文

  • 发表日期：

    2025年9月13日

查看全文
  • D. Sivakumar,
  • R. Anand,
  • M. Perarul Selvan

摘要

Fluoride contamination in groundwater poses serious health risks, requiring effective, sustainable treatment. This study investigates Sesbania grandiflora activated carbon as an adsorbent for fluoride removal, emphasizing material characterization and adsorption optimization via artificial neural networks. Objectives included characterizing the carbon before and after fluoride removal using Fourier Transform Infrared Spectroscopy, Scanning Electron Microscopy, Energy Dispersive X-ray analysis, and X-ray Diffraction; evaluating process parameters (particle size, dosage, agitation speed, contact time); and developing a neural network model to predict fluoride removal performance. Fourier Transform Infrared Spectroscopy analysis identified key functional groups including O–H stretching (3442.94 cm⁻1) and C = O stretching (1743.65 cm⁻1), with post-adsorption shifts to C = C stretching (1645.28 cm⁻1) and peaks at 873.75–580.57 cm⁻1. The Scanning Electron Microscope showed a porous structure, which became less porous after fluoride binding. Energy Dispersive X-ray confirmed fluoride adsorption, with increases in carbon (78.3–78.8%), oxygen (16.5–17.1%), and sodium (Na) (2.1%). X-ray Diffraction showed strong crystalline peaks before adsorption and new peaks at 20°, 30°, and 50° after. Fluoride removal reached 86.3%, reducing levels from 4.50 to 0.62 mg/L. It also removed iron, magnesium, calcium, and sulphate, while increasing pH from 6.5 to 7.4. The artificial neural network model accurately reproduced results (coefficient of determination = 0.9523, error < 5%). Unlike conventional carbons, Sesbania grandiflora activated carbon removes multiple contaminants, improves potential of hydrogen, and is a cost-effective, sustainable solution. Its adsorption efficiency and predictive accuracy highlight real-world potential for safer drinking water in fluoride-contaminated regions.