Activated Carbon Derived from Lippia alba Leaves for the Removal of Lead (II) Ions and Basic Fuchsin Dye from Aqueous Solutions through Machine Learning Driven Optimization and Its Potential in CO2 Capture

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES
Suprakash Rabha, Taibur Rahman, Tapabrat Thakuria, Kaushik Barman, Lipi B. Mahanta, Arundhuti Devi
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Abstract

The concurrent elimination of both inorganic and organic contaminants from wastewater, along with rising atmospheric CO2 levels, presents a major environmental challenge. This study introduces an eco-friendly activated carbon derived from Lippia alba leaves (LAAC) as a novel multifunctional adsorbent capable of removing Pb2+ ions, basic fuchsin dye, and capturing CO2. The synthesized LAAC was systematically characterized using XRD, FESEM-EDAX, TGA, FTIR, BET-BJH analysis, XPS, Raman spectroscopy, and zeta potential measurements. Batch adsorption experiments were conducted to investigate the effects of pH, contact time, temperature, adsorbent dosage, and initial contaminant concentration for the removal study of metal ion and dye. Adsorption of both Pb2+ and basic fuchsin followed the Freundlich isotherm,  while maximum monolayer adsorption capacities  were 141.47 mg/g and 60.39 mg/g, respectively. Kinetic studies confirmed a pseudo second order model, while thermodynamic results indicated that adsorption was spontaneous and exothermic. To further enhance process efficiency, ten machine learning algorithms were employed to optimize adsorption conditions and improve predictive accuracy. Additionally, LAAC demonstrated a notable CO2 adsorption capacity of 58.58 cm3/g at 288 K, highlighting its potential in atmospheric carbon capture. Overall, the study establishes Lippia alba based activated carbon as a sustainable and efficient material for simultaneous wastewater treatment and CO2 mitigation, offering a promising pathway toward green and integrated environmental remediation technologies.

Graphical Abstract

The alternative text for this image may have been generated using AI.
通过机器学习驱动优化从白脂叶中提取的活性炭去除水溶液中的铅(II)离子和碱性品红染料及其在CO2捕获中的潜力
同时消除废水中的无机和有机污染物,以及不断上升的大气二氧化碳水平,提出了一个重大的环境挑战。本研究介绍了一种从白脂叶中提取的环保型活性炭(LAAC),它是一种新型的多功能吸附剂,具有去除Pb2+离子、碱性品红染料和捕获CO2的功能。采用XRD、FESEM-EDAX、TGA、FTIR、beta - bjh分析、XPS、拉曼光谱和zeta电位等方法对合成的LAAC进行了系统表征。通过间歇式吸附实验,考察了pH、接触时间、温度、吸附剂用量和初始污染物浓度对金属离子和染料去除的影响。对Pb2+和碱式品红的吸附均符合Freundlich等温线,最大单层吸附量分别为141.47 mg/g和60.39 mg/g。动力学研究证实了准二级吸附模型,而热力学结果表明吸附是自发的和放热的。为了进一步提高工艺效率,采用了10种机器学习算法来优化吸附条件,提高预测精度。此外,LAAC在288 K下的CO2吸附量为58.58 cm3/g,突出了其在大气碳捕获中的潜力。综上所述,本研究确定了Lippia alba基活性炭作为一种可持续的高效材料,可以同时处理废水和减少二氧化碳排放,为绿色综合环境修复技术的发展提供了一条有希望的途径。此图像的替代文本可能是使用AI生成的。
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来源期刊
Water, Air, & Soil Pollution
Water, Air, & Soil Pollution 环境科学-环境科学
CiteScore
4.50
自引率
6.90%
发文量
448
审稿时长
2.6 months
期刊介绍: Water, Air, & Soil Pollution is an international, interdisciplinary journal on all aspects of pollution and solutions to pollution in the biosphere. This includes chemical, physical and biological processes affecting flora, fauna, water, air and soil in relation to environmental pollution. Because of its scope, the subject areas are diverse and include all aspects of pollution sources, transport, deposition, accumulation, acid precipitation, atmospheric pollution, metals, aquatic pollution including marine pollution and ground water, waste water, pesticides, soil pollution, sewage, sediment pollution, forestry pollution, effects of pollutants on humans, vegetation, fish, aquatic species, micro-organisms, and animals, environmental and molecular toxicology applied to pollution research, biosensors, global and climate change, ecological implications of pollution and pollution models. Water, Air, & Soil Pollution also publishes manuscripts on novel methods used in the study of environmental pollutants, environmental toxicology, environmental biology, novel environmental engineering related to pollution, biodiversity as influenced by pollution, novel environmental biotechnology as applied to pollution (e.g. bioremediation), environmental modelling and biorestoration of polluted environments. Articles should not be submitted that are of local interest only and do not advance international knowledge in environmental pollution and solutions to pollution. Articles that simply replicate known knowledge or techniques while researching a local pollution problem will normally be rejected without review. Submitted articles must have up-to-date references, employ the correct experimental replication and statistical analysis, where needed and contain a significant contribution to new knowledge. The publishing and editorial team sincerely appreciate your cooperation. Water, Air, & Soil Pollution publishes research papers; review articles; mini-reviews; and book reviews.
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