Coelho Ricardo Silva, Soares Liliane Catone, Adarme Oscar Fernando Herrera, Maia Luisa Cardoso, Costa Camila Stéfanne Dias, Guibal Eric, Gurgel Leandro Vinícius Alves
Group of Physical Organic Chemistry, Department of Chemistry, Institute of Exact and Biological Sciences, Federal University of Ouro Preto, Campus Universitário Morro do Cruzeiro, Rua Quatro, 786, Bauxita, Ouro Preto 35402-136, MG, Brazil.
Environmental Engineering Graduate Program (ProAmb), School of Mines, Federal University of Ouro Preto, Campus Universitário Morro do Cruzeiro, Rua Nove, s/n, Bauxita, Ouro Preto 35402-163, MG, Brazil.
Polymers (Basel). 2025 Mar 31;17(7):953. doi: 10.3390/polym17070953.
Using raw and modified lignocellulosic residues as bioadsorbents in continuous adsorption is challenging but it marks significant progress in water treatment and the transition to a bio-based circular economy. This study reviews the application of bioadsorbents in fixed-bed columns for treating water contaminated with inorganic species, offering guidance for future research. It evaluates chemical modifications to enhance adsorptive properties, explores adsorption mechanisms, and analyzes bioadsorbent performance under competitive adsorption conditions. Analysis of adsorption data included evaluation of adsorption capacity in mono- and multicomponent solutions, regeneration, reuse, bed efficiency, and disposal of spent bioadsorbents. This enabled assessing their scalability to sufficiently high levels of maturity for commercialization. In multicomponent solutions, selectivity was influenced by the characteristics of the bioadsorbents and by competitive adsorption among inorganic species. This affected adsorption performance, increasing the complexity of breakthrough curve modeling and controlling the biomaterial selectivity. Models for mono- and multicomponent systems are presented, including mass transfer equations and alternatives including "bell-type" equations for overshooting phenomena and innovative approaches using artificial neural networks and machine learning. The criteria discussed will assist in improving studies conducted from cradle (synthesis of new biomaterials) to grave (end use or disposal), contributing to accurate decision making for transferring the developed technology to an industrial scale and evaluating the technical and economic feasibility of bioadsorbents.
将未加工和改性的木质纤维素残渣用作连续吸附中的生物吸附剂具有挑战性,但这标志着水处理以及向生物基循环经济转型方面取得了重大进展。本研究综述了生物吸附剂在固定床柱中用于处理受无机物种污染的水的应用,为未来研究提供指导。它评估了增强吸附性能的化学改性,探索了吸附机制,并分析了竞争吸附条件下生物吸附剂的性能。吸附数据的分析包括评估单组分和多组分溶液中的吸附容量、再生、再利用、床层效率以及废弃生物吸附剂的处置。这使得能够评估它们在商业化方面达到足够高成熟度的可扩展性。在多组分溶液中,选择性受生物吸附剂的特性以及无机物种之间的竞争吸附影响。这影响了吸附性能,增加了穿透曲线建模的复杂性并控制了生物材料的选择性。给出了单组分和多组分系统的模型,包括传质方程以及其他方法,如用于过冲现象的“钟形”方程以及使用人工神经网络和机器学习的创新方法。所讨论的标准将有助于改进从摇篮(新生物材料的合成)到坟墓(最终使用或处置)所开展的研究,有助于做出准确决策,以便将所开发的技术转化为工业规模,并评估生物吸附剂的技术和经济可行性。