吸附过程中使用的水凝胶和水凝胶复合材料中生物聚合物吸附剂和半合成衍生物的解吸策略和重复使用性

IF 4.3 Q2 ENGINEERING, CHEMICAL ACS Engineering Au Pub Date : 2023-11-01 DOI:10.1021/acsengineeringau.3c00022
Fabiola Alcalde-Garcia, Shiv Prasher, Serge Kaliaguine, Jason Robert Tavares and Marie-Josée Dumont*, 
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引用次数: 0

摘要

吸附是一种很有前途的去除持久性污染物的技术,因为它是一种相对廉价的工艺,能耗低,而且不会产生二次污染。然而,吸附工艺的大规模实施通常涉及双柱工艺,即变压或变温操作。因此,吸附剂的可重复使用性是一个需要考虑和评估的关键特性,但在开发新材料的过程中却经常被忽视。要想重复使用,吸附剂应通过解吸或再生步骤成功释放污染物,同时不影响基质的化学和物理稳定性。解吸/再生方法的效率在很大程度上取决于污染物的化学特性、吸附剂的性质以及吸附剂与吸附质之间的吸附机制。本综述重点介绍用于生物基水凝胶和水凝胶复合材料再生的解吸策略,这些材料已成功应用于废水污染物的吸附。这些策略可分为化学方法和物理方法。化学方法包括使用解吸剂、光催化氧化和二氧化碳鼓泡;物理方法包括热处理和超声波处理。这些再生策略显示出不同的效率以及具体的优缺点,在选择最适合具体应用的方法时需要加以考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Desorption Strategies and Reusability of Biopolymeric Adsorbents and Semisynthetic Derivatives in Hydrogel and Hydrogel Composites Used in Adsorption Processes

Adsorption is a promising technique for the removal of persistent contaminants, since it is a relatively cheap process with low energy requirements and does not produce secondary contamination. However, the large-scale implementation of an adsorption process usually involves a dual column process for either pressure swing or temperature swing operations. Therefore, the reusability of adsorbents is a key characteristic to consider and evaluate but is often overlooked during the development of new materials. To be reused, the adsorbent should successfully release the contaminant by a desorption or regeneration step without compromising the chemical and physical stability of the matrix. The efficiency of desorption/regeneration methods depends greatly on the chemical characteristics of the contaminants, the nature of the adsorbents, and the adsorption mechanisms responsible for the adsorbent–adsorbate interactions. This review focuses on the desorption strategies that have been used for the regeneration of biobased hydrogels and hydrogel composites, materials that have been successfully applied in the adsorption of wastewater contaminants. The strategies can be divided into chemical and physical methods. The chemical methods include the use of desorption agents, photocatalytic oxidation, and CO2 bubbling; and the physical methods include thermal and ultrasonic treatments. These regeneration strategies have shown different efficiencies as well as specific advantages and drawbacks that need to be considered to select the most suitable method for a specific application.

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ACS Engineering Au
ACS Engineering Au 化学工程技术-
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期刊介绍: )ACS Engineering Au is an open access journal that reports significant advances in chemical engineering applied chemistry and energy covering fundamentals processes and products. The journal's broad scope includes experimental theoretical mathematical computational chemical and physical research from academic and industrial settings. Short letters comprehensive articles reviews and perspectives are welcome on topics that include:Fundamental research in such areas as thermodynamics transport phenomena (flow mixing mass & heat transfer) chemical reaction kinetics and engineering catalysis separations interfacial phenomena and materialsProcess design development and intensification (e.g. process technologies for chemicals and materials synthesis and design methods process intensification multiphase reactors scale-up systems analysis process control data correlation schemes modeling machine learning Artificial Intelligence)Product research and development involving chemical and engineering aspects (e.g. catalysts plastics elastomers fibers adhesives coatings paper membranes lubricants ceramics aerosols fluidic devices intensified process equipment)Energy and fuels (e.g. pre-treatment processing and utilization of renewable energy resources; processing and utilization of fuels; properties and structure or molecular composition of both raw fuels and refined products; fuel cells hydrogen batteries; photochemical fuel and energy production; decarbonization; electrification; microwave; cavitation)Measurement techniques computational models and data on thermo-physical thermodynamic and transport properties of materials and phase equilibrium behaviorNew methods models and tools (e.g. real-time data analytics multi-scale models physics informed machine learning models machine learning enhanced physics-based models soft sensors high-performance computing)
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