Journal of the Taiwan Institute of Chemical Engineers最新文献

{"title":"Facile co-deposition of folic acid and polydopamine: Regulation of surface roughness on yeast adhesion in the continuous fermentation","authors":"Yu Sha ,&nbsp;Yong Wang ,&nbsp;Jinming Zhang ,&nbsp;Tianpeng Chen ,&nbsp;Qingguo Liu ,&nbsp;Pengpeng Yang ,&nbsp;Hanjie Ying ,&nbsp;Yong Chen ,&nbsp;Wei Zhuang ,&nbsp;Wenjun Sun","doi":"10.1016/j.jtice.2025.106425","DOIUrl":"10.1016/j.jtice.2025.106425","url":null,"abstract":"<div><h3>Background</h3><div>Adhesion is the basis of the cell immobilization, with the surface roughness being a critical factor in promoting the cell initial adhesion and biofilm formation. This study presented a versatile co-deposition approach that combined folic acid (FA) and dopamine (DA) for generating the rough surface.</div></div><div><h3>Methods</h3><div>Inspired by DA self-polymerization, a rough hierarchical structure incorporated with FA was constructed on the surface of cotton fibers (CF) through π-π interactions and hydrogen bonds (DA+FA-CF). Various modification parameters were investigated to explore the effect of the surface roughness on cell adhesion, biofilm formation, and continuous fermentation of <em>Saccharomyces cerevisiae</em>.</div></div><div><h3>Significant Findings</h3><div>The optimal FA concentration, modification time and deposition time (0.5 g/L, 6 h and 8 h) yielded the highest surface roughness, which significantly increased the immobilization efficiency from 54.92 % to 74.91 %, and the biomass from 5.95 g/L to 8.70 g/L, respectively. Moreover, DA+FA-CF reduced the fermentation period by 66.67 % and achieved an ethanol yield of 39.67 %, with a peak production of 23.75 g/L in the fifth-batch of continuous fermentation. This strategy offered a facile and biocompatible approach to improving continuous fermentation performance through surface roughness-regulated cell immobilization.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"179 ","pages":"Article 106425"},"PeriodicalIF":6.3,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145156790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cost-effective large-scale production of Chlorella vulgaris-based biodiesel and bioethanol: A comparative assessment","authors":"Bavatharny Thevarajah ,&nbsp;P.H.V. Nimarshana ,&nbsp;Jo-Shu Chang ,&nbsp;Thilini U. Ariyadasa","doi":"10.1016/j.jtice.2025.106395","DOIUrl":"10.1016/j.jtice.2025.106395","url":null,"abstract":"<div><h3>Background</h3><div>Microalgae-based biofuel production is a promising alternative to conventional renewable energy sources, despite its economic viability at industrial scale remains unrealized. The present study is the first to present a novel evaluation of large-scale biodiesel and bioethanol production from <em>Chlorella vulgaris</em>, integrating the cost analysis of chemicals and energy demands, to identify the most viable production route for real-world implementation.</div></div><div><h3>Methods</h3><div>Three biofuel production routes, namely, biodiesel via two-step transesterification and bioethanol from whole and defatted biomass through acid hydrolysis, were systematically assessed, with a functional unit of 1000 kg (dry biomass) of <em>C. vulgaris</em>.</div></div><div><h3>Significant findings</h3><div>Total costs associated with chemicals and energy demands were $ 2.30/L, $ 95.52/L, and $ 0.73/L to produce biodiesel, bioethanol, and defatted biomass-based bioethanol, respectively. Consequently, the most profitable biofuel production using defatted <em>C. vulgaris</em> biomass has a profitability ratio of 1.01 (&gt;1). Moreover, biodiesel production demonstrates the most renewable system with a net energy ratio of 6.28 and a net energy balance of +29.93. Nonetheless, the production viability of biodiesel and bioethanol (whole biomass) could be enhanced by incorporating cost- and energy-effective strategies. Additionally, the valorization of defatted biomass for bioethanol production would be a promising strategy, facilitating a circular bioeconomy and enhanced sustainability.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"179 ","pages":"Article 106395"},"PeriodicalIF":6.3,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gas hydrate dissociation of CO2-CH4 mixtures in porous media with sodium chloride – A fundamental basis for prediction of carbon capture in gas hydrates reservoirs","authors":"Sara Kishan Roodbari,&nbsp;Vahid Mohebbi,&nbsp;Reza Mosayyebi Behbahani","doi":"10.1016/j.jtice.2025.106423","DOIUrl":"10.1016/j.jtice.2025.106423","url":null,"abstract":"<div><div>Background: The rising atmospheric CO₂ levels, driven primarily by growing global energy demands, pose urgent climate challenges. In support of the International Energy Agency's ambitious carbon reduction goals, this study investigates CO₂/ CH₄ hydrate systems as a potential carbon capture solution. We specifically examine hydrate behavior under conditions mimicking deep-sea environments, with particular attention to sodium chloride's influence.</div><div>Methods: Laboratory experiments employed a high-pressure system to analyze CH₄ and CO₂ hydrate equilibrium conditions in reservoir rock samples featuring 20 nm pores. The isochoric pressure-search method was applied to perform tests in saltwater solutions (3.5% NaCl). Key parameters—including concentration, pressure, and temperature—were rigorously controlled to accurately simulate hydrate formation and dissociation processes.</div><div>Significant Findings: It was observed that increasing CO₂ levels reduce the equilibrium pressure of CH₄ + CO₂ mixtures. The thermodynamic model used exhibited a strong predictive ability with an average absolute deviation of 3.38%. It was found that in nanopores (&lt;20 nm), capillary forces govern hydrate formation while salinity effects become marginal, as evidenced by comparative water/salt system analyses. The study highlights the role of pore size, water salinity, and capillary pressures on hydrate stability, which are critical for improving CO₂ sequestration methods and advancing natural gas recovery techniques.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"179 ","pages":"Article 106423"},"PeriodicalIF":6.3,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145119789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Online improving NOX concentration prediction at SCR system outlet through continual learning","authors":"Peng Chen ,&nbsp;Baochang Xu ,&nbsp;Wei He ,&nbsp;Hongtao Hu","doi":"10.1016/j.jtice.2025.106417","DOIUrl":"10.1016/j.jtice.2025.106417","url":null,"abstract":"<div><h3>Background</h3><div>Accurately predicting NO_X concentration at SCR system outlet is crucial for optimizing process parameters and reducing NO_X emissions. Existing prediction models often struggle to maintain accurate long-term online predictions when operating conditions change and new data arrive. Therefore, frequent model updates are required in practical applications. However, new models often exhibit catastrophic forgetting of learned patterns, leading to a deterioration in NO_X concentration prediction accuracy.</div></div><div><h3>Methods</h3><div>A novel continual learning algorithm, termed TDIR, is proposed. This algorithm dynamically identifies historical temporal samples that are most susceptible to interference from new data and prioritizes their replay. The TDIR algorithm is integrated with the iTransformer architecture to establish TDIRformer, an online self-updating model for NO_X emission prediction. The model utilizes variate tokens to capture cross-feature correlations, effectively addressing prediction inaccuracies caused by multivariate coupling. It also employs the TDIR algorithm for online updates, which mitigates catastrophic forgetting and improves the prediction accuracy of NO_X concentrations.</div></div><div><h3>Significant findings</h3><div>Experimental results show that TDIRformer significantly outperforms LSTM, Informer, PatchTST, and iTransformer, while TDIR also surpasses the continual learning methods EWC and MAS. Additionally, the TDIR algorithm demonstrates strong generalization capability, achieving RMSE reductions of 10.7 %, 9.3 %, and 11.9 % when applied to LSTM, Informer, and PatchTST models, respectively.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"179 ","pages":"Article 106417"},"PeriodicalIF":6.3,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of deep learning algorithms for the microemulsion generation conditions in complex environments","authors":"Hao Li,&nbsp;Tianshun Ding,&nbsp;Shengyang Tao","doi":"10.1016/j.jtice.2025.106414","DOIUrl":"10.1016/j.jtice.2025.106414","url":null,"abstract":"<div><h3>Background</h3><div>Constructing high-quality datasets for AI-driven microemulsion prediction remains challenging due to limitations in chip design, imaging hardware, and fluid dynamics. Conventional semi-empirical models suffer from poor accuracy and generalizability in complex nonlinear systems, while traditional microfluidic chips often yield non-spherical droplets. Optical constraints in capillary-based systems further hinder data acquisition.</div></div><div><h3>Methods</h3><div>A deep learning framework integrates three components: (1) A multi-branch CNN with residual modules and self-attention (RAM-CNN) for robust droplet/fluid morphology recognition; (2) GAN-LGBMnet, combining adversarial networks and LightGBM, to augment small datasets and analyze key features; (3) A multi-output neural network (MO-DNN) predicting single/double-emulsion parameters. The system is deployed via an intuitive GUI (MICA) for non-specialist use.</div></div><div><h3>Significant Findings</h3><div>RAM-CNN achieves 100 % fluid-regime and 95.8 % droplet-morphology recognition accuracy, maintaining &gt;91 % performance under ±28 % brightness variations. Enhanced by GAN-LGBMnet, MO-DNN predicts droplet diameters and generation rates with MAPE &lt;7 % for both emulsion types. The MICA platform demonstrates &lt;10 % error on unseen data, enabling precise emulsion design. This work bridges theoretical models with practical microfluidic optimization through automated, user-friendly AI tools.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"179 ","pages":"Article 106414"},"PeriodicalIF":6.3,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantifying cake uniformity and filtration performance: Effects of disk geometries and operation conditions on dynamic filtration","authors":"Su-En Wu ,&nbsp;Yu-Shao Chen ,&nbsp;Kuan-Yu Lin ,&nbsp;Yi-Chen Lin","doi":"10.1016/j.jtice.2025.106415","DOIUrl":"10.1016/j.jtice.2025.106415","url":null,"abstract":"<div><h3>Background</h3><div>Shear-enhanced dynamic filtration significantly reduces cake fouling compared to conventional cross-flow filtration methods. Designing disk geometries for achieving high cake uniformity and low power consumption offers a promising and efficient solution to this challenge.</div></div><div><h3>Methods</h3><div>This study aims to demonstrate the effect of disk geometry and operating conditions on cake uniformity and filtration performance in dynamic filtration of particulate suspensions. CFD model was developed for five types of rotating disks in dynamic filtration. Cake mass distribution was inferred directly from simulation results using empirical equations. A simplified relationship between filtration flux, transmembrane pressure, and shear stress was modeled using power-law regression.</div></div><div><h3>Significant findings</h3><div>The results showed that the increase in shear stress was most pronounced for Type-RV4 and least for Type-RV1. The cake uniformity analysis indicated that the <em>U_T</em> values decreased as the rotating speed increased, with Type-R achieving the best overall uniformity at <em>ω</em> = 1000 rpm. A comparison of specific energy results across various disk types showed that Type-RV4 at low rotating speed had the optimal designs for removing particles owing to its high flux and relatively low power consumption. Potential strategies are proposed for the sustainable development of dynamic filtration in solid-liquid industrial applications.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"179 ","pages":"Article 106415"},"PeriodicalIF":6.3,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"One-shot Evaluation of Protein Mutability and Epistasis Score Using Structure-Based Model ESM3","authors":"Ngai Hei Ernest Ho ,&nbsp;I-Son Ng ,&nbsp;Jo-Shu Chang","doi":"10.1016/j.jtice.2025.106413","DOIUrl":"10.1016/j.jtice.2025.106413","url":null,"abstract":"<div><h3>Background</h3><div>Existing mutation scoring methods, often designed for predicting genetic diseases in the highly conserved human genome, lack generalizability across diverse protein fold types. Conventional alignment-based mutation scoring protocols lack causal explanations for conservation patterns, such as intra-chain and inter-chain interactions, due to insufficient structural awareness. Here, we leveraged the generative capabilities of the structure-based transformer model ESM3 to construct a UniProtKB-scale database of amino acid mutation and epistasis scores.</div></div><div><h3>Methods</h3><div>Mutation scores (M-scores) were calculated as average differences between mutant and wild-type embeddings. In contrast, epistasis scores (E-scores) were derived from variance among mutant embeddings, mathematically representing mutational variability due to epistatic interactions. To facilitate score calculations using Euclidean distance, the original 1536-dimensional ESM3 embeddings were compared to 312 dimensions.</div></div><div><h3>Significant Findings</h3><div>Our approach successfully captured protein mutability patterns beyond peptide flexibility and phylogenetic analysis. Benchmarking against reported <em>in silico</em> protein evolution datasets showed a significant correlation with mega-scale Bayesian optimization experimental results. M-score and E-score profiles exhibited intra-family variations compared to root mean square fluctuation (RMSF) profiles, revealing evolutionary constraints beyond kinetic energy and family-level phylogeny insights. This divergence proved functionally meaningful: in low-RMSF regions, gap formation between homologs could be explained by strong regional mutability and epistasis, indicated by high M- and E-scores. Overall, M-scores and E-scores serve as interpretable, target-agnostic metrics for structurally informed, epistasis-aware mutational analysis, advancing protein function and evolution understanding.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"179 ","pages":"Article 106413"},"PeriodicalIF":6.3,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A precision intelligence system to explore GHG integration prevention and control in inclined extremely thick coal seam: Current status and challenges ahead","authors":"Risheng Zhuo ,&nbsp;Pengxiang Zhao ,&nbsp;Shugang Li ,&nbsp;Xueyang Sun ,&nbsp;Hui Liu ,&nbsp;Chi-Min Shu ,&nbsp;Haifei Lin ,&nbsp;Weidong Lu ,&nbsp;Yu-huan Ciou","doi":"10.1016/j.jtice.2025.106407","DOIUrl":"10.1016/j.jtice.2025.106407","url":null,"abstract":"<div><h3>Background</h3><div>The precise arrangement of a greenhouse gas (GHG) extraction system is key to the efficient extraction of gas in an inclined extremely thick coal seam (IETCS). In the process of gas integration prevention and control in IETCS, multiple systems, such as measurement, communication, design, sensing, regulation and control, operate in coordination and have the characteristics of numerous gas prevention and control units, heterogeneous information and staggered relations.</div></div><div><h3>Methods</h3><div>Combined with the problems of backward gas prevention and control ideas, inaccurate gas content determination, incomplete sensor data and difficult cross-system collaboration in IETCS, the authors combined the development and research progress of existing GHG extraction technology. The overall research framework of a GHG precise, intelligent, and giant (PIG) prevention and control system was constructed, and the GHG-PIG system was built. The gas precise intelligent prevention and control technology based upon the “7D” technology concept was innovatively proposed, and its future development direction was summarised.</div></div><div><h3>Significant Findings</h3><div>The operation of the PIG system was further illustrated with the example of a typical mine IETCS. Achieving efficient gas prevention and control in IETCS, actively promoting green mining and low-carbon utilisation of coal resources and helping to achieve the dual-carbon goal as soon as possible.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"179 ","pages":"Article 106407"},"PeriodicalIF":6.3,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108467","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In-situ Ti3+-mediated loading of Au nanoparticles on TiO2 nanotube arrays for enhanced near UV/visible-light photocatalytic degradation of ciprofloxacin","authors":"Qing Li ,&nbsp;Ningchen Ye ,&nbsp;Xiaoxuan Yang ,&nbsp;Xingkang Yu ,&nbsp;Haitao Zhang ,&nbsp;Zhifei Gao ,&nbsp;Juanjuan Ma ,&nbsp;Lin Liu ,&nbsp;Yijing Tang ,&nbsp;Zhiwei Tong","doi":"10.1016/j.jtice.2025.106422","DOIUrl":"10.1016/j.jtice.2025.106422","url":null,"abstract":"<div><h3>Background</h3><div>Fluoroquinolone antibiotics such as ciprofloxacin (CIP) are highly persistent in the environment and resistant to conventional wastewater treatment processes, necessitating the development of efficient visible-light-driven photocatalysts. However, wide-bandgap TiO₂ nanotube arrays (TNTs) exhibit limited visible-light absorption and insufficient charge separation efficiency.</div></div><div><h3>Methods</h3><div>Amorphous TNTs fabricated via anodic oxidation were impregnated in an NH₄F-containing ethylene glycol solution, inducing a disproportionation reaction at the Ti/TiO₂ interface to generate Ti³⁺ species. These Ti³⁺ species acted as reductants to in-situ reduce Au³⁺ to metallic Au nanoparticles (Au NPs, ∼5.3 nm), uniformly distributed on the nanotube surfaces. Subsequent vapor-thermal treatment transformed the amorphous TNTs into the anatase phase while effectively suppressing Au NPs aggregation, yielding the composite Au@ATNTs-VT.</div></div><div><h3>Significant Findings</h3><div>The resulting Au@ATNTs-VT exhibited enhanced visible-light absorption and improved separation of photogenerated charge carriers. Photocatalytic degradation tests revealed 87% CIP removal under near UV<strong>/</strong>visible-light irradiation, significantly surpassing unmodified TiO₂ nanotubes. The catalyst also maintained over 85% degradation efficiency after five consecutive cycles, demonstrating excellent stability and reusability. This Ti³⁺-induced in-situ Au loading strategy offers a promising route for designing high-performance TiO₂-based photocatalysts for antibiotic wastewater treatment.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"179 ","pages":"Article 106422"},"PeriodicalIF":6.3,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108468","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recent advances in surfactant-functionalized materials as adsorbents for enhanced remediation of synthetic dyes: A review","authors":"Muthanna J. Ahmed ,&nbsp;Bassim H. Hameed ,&nbsp;Ioannis Anastopoulos ,&nbsp;Waheed A. Khanday","doi":"10.1016/j.jtice.2025.106398","DOIUrl":"10.1016/j.jtice.2025.106398","url":null,"abstract":"<div><h3>Background</h3><div>Adsorption is one of the most commonly applied techniques for the elimination of a variety of synthetic dye pollutants to ensure a safe and healthy aquatic environment. For this purpose, different materials have been adopted as adsorbents. However, some of these materials show a low capacity against specific dyes, and the relatively high capacity of other materials needs to be further improved. Several studies have shown that the surfactant modification can be successfully applied to achieve this goal.</div></div><div><h3>Method</h3><div>This review article addresses the surfactant treatment and characterization of different materials like clay, zeolite, chitosan, biomass, activated carbon, and biochar. The application of surfactant-modified adsorbents against a variety of synthetic dye contaminants with a focus on the isotherm, kinetics, thermodynamics, and mechanisms, as well as the dependence of adsorbent performance on different variables including inlet dye amount, solution pH, adsorbent dosage, and temperature, is considered. The reuse of exhausted adsorbents after regeneration by different eluents is also discussed.</div></div><div><h3>Significant Findings</h3><div>Surfactant-modified adsorbents display enhanced performance against dyes, mainly through the enhancement of functionality and, in some cases, the development of pore characteristics. The highest uptakes of the most widely studied dyes in terms of methylene blue, followed by congo red, crystal violet, methyl orange, and malachite green are reported as 740.74, 2192.0, 956.20, 567.26, and 1972.54 mg/g, respectively. The Langmuir isotherm and pseudo-second order kinetics equation provide the best representation of the adsorption data. The adsorption mechanism primarily involves electrostatic and hydrophobic contacts. Alcohols and alkalis are both often and successfully used to renew exhausted adsorbents. This review offers insights into recent advances in surfactant modification as an eco-friendly, flexible, and efficient technique for the enhancement of adsorption performance against dyes.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"178 ","pages":"Article 106398"},"PeriodicalIF":6.3,"publicationDate":"2025-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145095634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}