Shoaib Amany G M, Yılmaz Murat, El Sikaily Amany, Hassaan Mohamed A, El-Nemr Mohamed A, El Nemr Ahmed
National Institute of Oceanography and Fisheries (NIOF), Kayet Bey, Elanfoushy, Alexandria, Egypt.
BahçE Vocational School, Department of Chemistry and Chemical Processing Technologies, Osmaniye Korkut Ata University, Osmaniye, 80000, Türkiye, Turkey.
Sci Rep. 2025 Mar 27;15(1):10642. doi: 10.1038/s41598-025-92973-y.
This study investigates the removal of methylene blue (MB) dye from aqueous solutions using a novel adsorbent, green algae (Ulva lactuca)-derived biochar-ammonia (NDULB), produced through activation with 85% sulfuric acid and hydrothermal treatment with ammonium hydroxide. The characterization of NDULB was carried out through various techniques, including BET surface area analysis and scanning electron microscopy, confirming its high surface area and effective porosity for dye adsorption. This work thoroughly examines the effects of initial MB dye concentration, solution pH, contact time, and NDULB dose on adsorption. The adsorption data were modeled using Langmuir, Freundlich, Tempkin, and Dubinin-Radushkevich isotherms, with the Freundlich model showing the best fit, indicating multilayer adsorption on a heterogeneous surface. According to the investigation's findings, with an initial MB concentration of 200 ppm and an NDULB dosage of 1.25 g L, the adsorption capacity at equilibrium (q) is 966.31 mg g. Kinetic analysis revealed that the pseudo-second-order model provided the best fit for the experimental data, suggesting chemisorption as the dominant adsorption mechanism. The artificial neural network modeling has been studied and reported. The study clarifies the effects of multiple variables on adsorption, which might lead to key insights to enlighten the development of effective wastewater treatment strategies. The study demonstrates that NDULB offers a promising, sustainable alternative for MB dye removal in wastewater treatment, with significant implications for large-scale application.
本研究考察了一种新型吸附剂——通过85%硫酸活化和氢氧化铵水热处理制备的绿藻(石莼)衍生生物炭-氨(NDULB),用于从水溶液中去除亚甲基蓝(MB)染料。通过包括BET表面积分析和扫描电子显微镜在内的各种技术对NDULB进行了表征,证实了其具有高表面积和对染料吸附有效的孔隙率。这项工作全面研究了初始MB染料浓度、溶液pH值、接触时间和NDULB剂量对吸附的影响。吸附数据采用朗缪尔、弗伦德里希、坦普金和杜比宁-拉杜舍维奇等温线进行建模,弗伦德里希模型拟合效果最佳,表明在异质表面上发生多层吸附。根据研究结果,当初始MB浓度为200 ppm且NDULB剂量为1.25 g/L时,平衡吸附容量(q)为966.31 mg/g。动力学分析表明,伪二级模型对实验数据拟合效果最佳,表明化学吸附是主要的吸附机制。对人工神经网络建模进行了研究并报告。该研究阐明了多个变量对吸附的影响,这可能为开发有效的废水处理策略提供关键见解。该研究表明,NDULB为废水处理中去除MB染料提供了一种有前景的可持续替代方案,对大规模应用具有重要意义。