利用从 Tingui 贝壳中提取的碳材料去除水中的新污染物

IF 2.5 4区 工程技术 Q3 CHEMISTRY, ANALYTICAL
D. D. Dos Santos, W. Moreira, T. D. de Araújo, Maria Bernardo, Isabel Fonseca, I. Ostroski, M. A. de Barros
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引用次数: 0

摘要

本研究探讨了使用二氧化碳活化生物炭(BT-CO2)和水炭(HT-CO2)对对乙酰氨基酚和咖啡因的吸附。在间歇和固定床系统中采用了动力学和平衡吸附试验的实验数据。在间歇式系统中,向已知体积的溶液中加入一定量的吸附剂,然后将混合物搅拌一段时间,使吸附作用发生。在固定床系统中,溶液通过装有吸附剂的柱子,从而实现连续吸附。这些系统为今后的研究铺平了道路。研究结果表明,与 BT-CO2 相比,HT-CO2 的表面积更大,含氧官能团也更多。这些含氧官能团对吸附剂对药物物质的吸附能力有显著影响。在间歇系统中,BT-CO2 对对乙酰氨基酚和咖啡因的最大吸附容量分别为 221.4 毫克/克和 162.7 毫克/克,而 HT-CO2 对对乙酰氨基酚和咖啡因的吸附容量分别为 383.2 毫克/克和 189.7 毫克/克。在固定床配置中,HT-CO2 对对乙酰氨基酚和咖啡因的最大吸附容量分别为 82.2 毫克/克和 45.60 毫克/克。对乙酰氨基酚和咖啡因的主要去除机制被确定为 H 键和π-π 键。这些结果凸显了这些碳作为有效吸附剂处理受药物残留物污染的水的巨大潜力,激发了在这一领域的进一步探索,并为未来的研究和开发提供了坚实的基础,从而为水处理的未来带来了希望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Removal of Emerging Contaminants from Water by Using Carbon Materials Derived from Tingui Shells
This study explored the adsorption of acetaminophen and caffeine using CO2-activated biochar (BT-CO2) and hydrochar (HT-CO2) derived from Tingui shell biomass. The experimental data from kinetic and equilibrium adsorption tests were employed in batch and fixed-bed systems. In the batch system, a specific amount of the adsorbent was added to a known volume of the solution, and the mixture was agitated for a set period to allow adsorption to occur. In the fixed-bed system, the solution was passed through a column packed with the adsorbent, allowing for continuous adsorption. These systems pave the way for future research. The findings revealed that HT-CO2 exhibited a greater surface area and a higher presence of oxygen-containing functional groups than BT-CO2. These functional oxygen groups had a notable impact on the adsorption capacity of the adsorbents for pharmaceutical substances. In the batch systems, BT-CO2 demonstrated a maximum adsorption capacity of 221.4 mg g−1 for acetaminophen and 162.7 mg g−1 for caffeine, while HT-CO2 exhibited higher capacities of 383.2 mg g−1 for acetaminophen and 189.7 mg g−1 for caffeine. In the fixed bed configuration, HT-CO2 displayed a maximum adsorption capacity of 82.2 mg g−1 for acetaminophen and 45.60 mg g−1 for caffeine. The predominant mechanisms involved in the removal of acetaminophen and caffeine were identified as H-bonding and π-π bonds. These results underscore the promising potential of these carbons as effective adsorbents for treating water contaminated with pharmaceutical residues, inspiring further exploration in this field and offering hope for the future of water treatment by providing a solid foundation for future research and development.
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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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