ph敏感表面活性剂改性膨润土对水溶液中苯酚的吸附研究

IF 2.5 4区 工程技术 Q3 CHEMISTRY, ANALYTICAL
Xiangfen Cui, Jingmei Liao, Huaying Liu, Wei Tang, Cheng Tie, Senlin Tian, Yingjie Li
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引用次数: 0

摘要

废水中有机污染物的存在由于相关的生态和健康危害而仍然是一个突出的环境问题。为此,本研究采用吸附法处理苯酚和儿茶酚的去除,利用一种有机膨润土材料,用ph响应性切换表面活性剂十二烷基二甲胺氧化物(C12DAO)进行改性。热重分析表明,合成的有机膨润土(C12DAO-Bt)具有良好的热稳定性。C12DAO- bt对苯酚和儿茶酚的吸附能力随着C12DAO/膨润土质量比的增大而增强。通过拟二级动力学模型推导出150C12DAO-Bt对苯酚的最大吸附量为5.72 mg·g−1,对儿茶酚的最大吸附量为5.55 mg·g−1。经pH响应型表面活性剂修饰后,弱酸性和中性条件(pH = 6~7)有利于酚类化合物的吸附。相反,碱性条件(pH = 8~9)有利于吸附物与吸附剂的分离。在检测范围内阳离子强度的增加刺激了吸附过程,同时阻碍了解吸效果。在离子强度相当的阳离子种类中,Na+对苯酚的吸附-解吸动力学的影响更大,而Ca2+对儿茶酚的吸附-解吸动力学的影响更明显。此外,即使经过5个连续的酸碱调节循环,C12DAO-Bt仍保持相对较高的吸附能力和解吸效率,这表明其在去除废水中酚类化合物方面具有特殊的再生能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adsorption of Phenols from Aqueous Solution with A pH-Sensitive Surfactant-Modified Bentonite
The presence of organic pollutants in wastewater remains a prominent environmental concern due to the related ecological and health hazards. In response, this study employs an adsorptive methodology to address the removal of phenol and catechol, utilizing an organo-bentonite material modified with a pH-responsive switchable surfactant, dodecyldimethylamine oxide (C12DAO). The synthesized organo-bentonite (C12DAO-Bt) manifests commendable thermostability resulting from thermogravimetric analyses. The adsorption capacities of C12DAO-Bt concerning phenol and catechol intensify with the augmentation of the C12DAO/bentonite mass ratio. The utmost adsorption capacities of 150C12DAO-Bt, deduced through a pseudo-second-order kinetic model, stand at 5.72 mg·g−1 for phenol and 5.55 mg·g−1 for catechol, respectively. Subject to modification by a pH-responsive surfactant, conditions leaning towards weakly acidic and neutral conditions (pH = 6~7) are conducive to the adsorption of phenolic compounds. Conversely, alkaline conditions (pH = 8~9) facilitate the dissociation of adsorbates from adsorbents. The augmentation of cationic strength within the examined scope incites the adsorption procedure while impeding the desorption efficacy. In the case of cationic species with comparable ionic strengths, Na+ exhibited a superior effect on the adsorption–desorption dynamics of phenol, while Ca2+ exerts a more pronounced effect on those of catechol. Moreover, even following five consecutive acid–base regulation cycles, C12DAO-Bt retains a relatively high adsorption capacity and desorption efficacy, which underscores its exceptional regenerative capacity for removing phenolic compounds from wastewater.
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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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