水对所有生物的生存都至关重要;然而,它在农业中的广泛使用,高科技制造业,能源生产,化学和石油工业的快速发展导致了严重的污染,使水污染成为当今的主要问题。氨是水中最有害的污染物之一,造成重大的环境和健康风险,需要适当的补救方法。为了去除污染水中的氨,我们使用碳纳米管(CNT)和活性炭(AC)。为了确保在吸附剂上进行适当的金属浸渍,Fe,Al,Ag,和Cu浸渍到CNT和AC中,随后使用热重分析(TGA)进行广泛表征,扫描电子显微镜(SEM),和能量色散X射线(EDX)。为了优化水中的氨去除,调整了几个参数,包括pH值,剂量,接触时间,晃动速度,和温度。令人惊讶的是,在pH10.5和200RPM下,1g剂量达到了40%的最高去除效率,而氧化银在相同条件下的去除率较低,为10%。温度额外产生了重大影响,去除百分比在70°C时达到40%,而在25°C时达到21.5%。吸附等温线用于分析实验数据,还有Langmuir和Freundlich的模型.值得注意的是,Langmuir产生了优越的曲线拟合,导致相关因子接近1。此外,用二阶和伪二阶方程进行了动力学建模,根据曲线分析,后者反应更好。由于氨去除率较低,这项研究表明了使用CNT和AC作为预处理方法实现吸附技术的可行性。这种方法有可能在未来的优化和部署中有效解决水污染问题。
Water is essential for the survival of all living things; however, its extensive use in agriculture, high-tech manufacturing, energy production, and the rapid development of the chemical and petroleum industries has led to significant contamination, making water pollution a major concern today. Ammonia is one of the most harmful contaminants present in water, posing significant environmental and health risks that require appropriate remediation methods. To remove ammonia from contaminated water, we employ Carbon Nanotubes (CNTs) and Activated Carbon (AC). To ensure appropriate metal impregnation on the adsorbents, Fe, Al, Ag, and Cu were impregnated into both CNT and AC, followed by extensive characterization using Thermogravimetric Analysis (TGA), Scanning Electron Microscopy (SEM), and Energy Dispersive X-rays (EDX). To optimize ammonia removal from water, several parameters were adjusted, including pH, dose amount, contact time, shaking speed, and temperature. Astonishingly, the highest removal efficiency of 40% was achieved with a 1 g dosage at pH 10.5 and 200 RPM, while silver oxide had a lower removal rate of 10% under the same conditions. Temperature additionally had a significant impact, with removal percentages reaching 40% at 70 °C as compared to 21.5% at 25 °C. Adsorption isotherms were used to analyze the experimental data, along with Langmuir and Freundlich\'s models. Notably, Langmuir produced superior curve fitting, resulting in a correlation factor close to one. Furthermore, kinetic modeling was carried out with 2nd-order and pseudo-2nd-order equations, with the latter responding better according to curve analysis. Because the ammonia removal rate was low, this study indicates the feasibility of implementing an adsorption technique using CNT and AC as a pre-treatment method for this purpose. This approach has the potential for future optimization and deployment in tackling water contamination concerns effectively.