Isotherm, Kinetics, and Adsorption Mechanism Studies of Coal Gasification Coarse Slag as Highly Efficient Phosphate Adsorbents

IF 2.5 4区 工程技术 Q3 CHEMISTRY, ANALYTICAL Separations Pub Date : 2024-06-11 DOI:10.3390/separations11060182
Xuzhi Shi, Baoguo Yang, Dayi Qian, Dong Cui, Hongbin Li, Chao Wang, Yuhao Zhu, Tao Yu
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Abstract

This study investigates the efficacy of a novel low-cost phosphate adsorbent, denoted as SH-CGCS, derived from coal gasification coarse slag (CGCS) via an alkali activation method. SH-CGCS is a mesoporous material with a specific surface area (64 m2/g) approximately six times larger than CGCS (11 m2/g), which enhances its adsorption capacity compared with CGCS. Furthermore, SH-CGCS achieves a phosphate adsorption capacity of 38.5 mg/g in strongly acidic water (pH 3) and demonstrates robust acid resistance, which makes it particularly effective for phosphate removal from acidic wastewater. Results from coexisting anion experiments affirm the good adsorption selectivity of SH-CGCS for phosphate. Moreover, SH-CGCS exhibits proficiency in treating water containing low phosphate concentrations under flowing conditions. The maximum phosphate adsorption capacity of SH-CGCS calculated using the Langmuir model is 23.92 mg/g, surpassing that of other reported adsorbents. Importantly, saturated SH-CGCS can be regenerated and reused, which contributes to its practical applicability. The adsorption mechanisms of SH-CGCS for phosphate involve ligand exchange, inner-sphere complexation, surface precipitation, and electrostatic adsorption. Thus, this study not only enhances the overall utility of CGCS but also presents a simple and efficient method for removing phosphate. Our findings indicate that SH-CGCS holds considerable potential as a phosphate adsorbent, offering a promising solution for wastewater treatment.
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煤气化粗炉渣作为高效磷酸盐吸附剂的等温线、动力学和吸附机理研究
本研究调查了一种新型低成本磷酸盐吸附剂的功效,该吸附剂由煤气化粗炉渣(CGCS)通过碱活化法提取而成,命名为 SH-CGCS。SH-CGCS 是一种介孔材料,其比表面积(64 m2/g)约为 CGCS(11 m2/g)的六倍,与 CGCS 相比增强了其吸附能力。此外,SH-CGCS 在强酸性水(pH 值为 3)中的磷酸盐吸附容量达到了 38.5 mg/g,并表现出很强的耐酸性,这使其在去除酸性废水中的磷酸盐方面特别有效。共存阴离子实验的结果证实了 SH-CGCS 对磷酸盐的良好吸附选择性。此外,在流动条件下,SH-CGCS 在处理含低浓度磷酸盐的水方面也表现出了卓越的能力。利用 Langmuir 模型计算得出的 SH-CGCS 最大磷酸盐吸附容量为 23.92 mg/g,超过了其他已报道的吸附剂。重要的是,饱和的 SH-CGCS 可以再生和重复使用,这有助于提高其实用性。SH-CGCS 对磷酸盐的吸附机理包括配体交换、内球络合、表面沉淀和静电吸附。因此,这项研究不仅提高了 CGCS 的整体实用性,还提出了一种简单高效的磷酸盐去除方法。我们的研究结果表明,SH-CGCS 作为一种磷酸盐吸附剂具有相当大的潜力,为废水处理提供了一种前景广阔的解决方案。
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来源期刊
Separations
Separations Chemistry-Analytical Chemistry
CiteScore
3.00
自引率
15.40%
发文量
342
审稿时长
12 weeks
期刊介绍: Separations (formerly Chromatography, ISSN 2227-9075, CODEN: CHROBV) provides an advanced forum for separation and purification science and technology in all areas of chemical, biological and physical science. It publishes reviews, regular research papers and communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced. There are, in addition, unique features of this journal: Manuscripts regarding research proposals and research ideas will be particularly welcomed. Electronic files and software regarding the full details of the calculation and experimental procedure, if unable to be published in a normal way, can be deposited as supplementary material. Manuscripts concerning summaries and surveys on research cooperation and projects (that are funded by national governments) to give information for a broad field of users. The scope of the journal includes but is not limited to: Theory and methodology (theory of separation methods, sample preparation, instrumental and column developments, new separation methodologies, etc.) Equipment and techniques, novel hyphenated analytical solutions (significantly extended by their combination with spectroscopic methods and in particular, mass spectrometry) Novel analysis approaches and applications to solve analytical challenges which utilize chromatographic separations as a key step in the overall solution Computational modelling of separations for the purpose of fundamental understanding and/or chromatographic optimization
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