Regenerable chitosan-embedded magnetic iron oxide beads for nitrate removal from industrial wastewater†

IF 3.5 Q3 ENGINEERING, ENVIRONMENTAL
Muntaha Nasir, Farhan Javaid, M. Talha Masood, Dr Muhammad Arshad, Muhammad Yasir, Vladimir Sedlarik, Muhammad Abdel Qadir, Hazim Qiblawey, Wenjuan Zhang, Kashif Mairaj Deen, Edouard Asselin and Nasir M. Ahmad
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Abstract

Industrial sites worldwide significantly contribute to water pollution. Nitrates are a common effluent pollutant from such sites. Effective means to remove nitrate ions (NO3) from polluted waters are needed. Chitosan beads, which are a non-toxic, biocompatible, and biodegradable polymer, are used for this purpose in this research. Iron-oxide nanoparticles are synthesized via the co-precipitation route and embedded into chitosan by chemical co-precipitation to form ion exchange chitosan beads (IECBs) for NO3 removal. The performance of the IECBs in a batch system was studied against NO3 adsorption from industrial water. Morphological, structural, and chemical characterization was performed by SEM, EDX mapping, BET, XRD, and FTIR, while the extent of NO3 adsorption was quantified using UV-vis spectroscopy. Different factors influencing the adsorption of NO3 on the IECBs were investigated, including the adsorbent dosage, pH of the solution, initial concentration, and interaction time. It is demonstrated that pseudo-second-order isothermal and kinetic models were best fits to the experimental data. It was found that the IECBs had a maximum adsorption capacity of 47.07 mg g−1 and could load up to ∼93% of the NO3 from the batch system. The regeneration efficiency for the IECBs over 5 cycles remained high in the range of 93% to 79%, indicating their potential for industrial water treatment use.

Abstract Image

可再生壳聚糖嵌入氧化铁磁珠用于去除工业废水中的硝酸盐
世界各地的工业用地都对水质造成了严重污染。硝酸盐是这些场所排放的一种常见污染物。我们需要有效的方法来去除受污染水体中的硝酸根离子(NO3-)。壳聚糖珠是一种无毒、生物相容性好、可生物降解的聚合物,本研究采用壳聚糖珠来实现这一目的。通过共沉淀法合成氧化铁纳米粒子,并通过化学共沉淀法将其嵌入壳聚糖中,形成用于去除 NO3 的离子交换壳聚糖珠(IECBs)。研究了批处理系统中 IECBs 对工业用水中 NO3- 的吸附性能。通过扫描电镜、EDX 图谱、BET、XRD 和傅立叶变换红外光谱进行了形态、结构和化学表征,并使用紫外可见光谱对 NO3- 的吸附程度进行了量化。研究了影响 IECB 吸附 NO3- 的不同因素,包括吸附剂用量、溶液 pH 值、初始浓度和相互作用时间。结果表明,伪二阶等温模型和动力学模型与实验数据的拟合效果最佳。研究发现,IECBs 的最大吸附容量为 47.07 mg/g,可吸附批处理系统中约 93% 的 NO3-。IECBs 在 5 个周期内的再生效率保持在 93% 至 79% 之间,这表明它们在工业用水处理方面具有潜力。
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CiteScore
1.90
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