Journal of the Taiwan Institute of Chemical Engineers最新文献

{"title":"Sn-doped Bi2WO6 for degradation of nitrophenol, Cr (VI) reduction and biomedical applications","authors":"R.A. Madhale ,&nbsp;P.P. Vhangutte ,&nbsp;A.J. Kamble ,&nbsp;D.S. Bhange ,&nbsp;N.A. Nerlekar ,&nbsp;P.B. Dandge ,&nbsp;Ambarish Kulkarni ,&nbsp;Aafiya Odam ,&nbsp;P.D. Bhange","doi":"10.1016/j.jtice.2025.105997","DOIUrl":"10.1016/j.jtice.2025.105997","url":null,"abstract":"<div><h3>Backgrounds</h3><div>Metal oxide (Bi₂WO₆) plays crucial role as a photocatalyst in environmental remediation. The photocatalytic performance of Bi₂WO₆ can be enhanced by Sn doping. The bare Bi₂WO₆ and doped samples can be used for dye degradation, chromium reduction as well as for biomedical application.</div></div><div><h3>Methods</h3><div>In present study, we prepared bare Bi₂WO₆ and series of tin doped Bi₂WO₆ samples with varying tin content (0.15, 0.30, 0.45, 0.60 mol%) via solid-state route. Prepared samples were characterized to examine the physico-chemical and optical properties of samples using different analytical techniques. Photocatalytic activity of all the samples were investigated for degradation of nitrophenol along with reduction of toxic Cr (VI) into the harmless Cr (III) form. The most active photocatalyst BSW-30 sample was applied for antimicrobial and antioxidant activity.</div></div><div><h3>Significant findings</h3><div>Among all these 0.30% Sn doped sample (BSW-30) show superior photocatalytic performance. Doped Sn in Bi₂WO₆ obstructs recombination of electrons and holes, increasing the photocatalytic efficiency. These findings highlight the versatile role of the prepared samples as efficient catalysts for environmental remediation and biomedical applications. The rate and mechanism associated with photodegradation were analyzed by performing kinetics experiment. The reusability study confirmed that photocatalytic activity remained high after 3 cycles.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"170 ","pages":"Article 105997"},"PeriodicalIF":5.5,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143314553","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":"Simulation of a photovoltaic panel with a novel cooling duct using ternary nanofluid and integrated with a thermoelectric generator","authors":"M. Sheikholeslami ,&nbsp;Z. Khalili","doi":"10.1016/j.jtice.2025.105982","DOIUrl":"10.1016/j.jtice.2025.105982","url":null,"abstract":"<div><h3>Background</h3><div>This study delves into the potential synergies arising from the combination of a TEG (thermoelectric generator) module with a photovoltaic thermal (PVT) unit, in conjunction with an electrolyzer. It proposes innovative wavy cooling duct designs and examines the use of ternary nanofluid (comprising water, TiO₂, MgO, and CuO nanoparticles) as the testing medium. Furthermore, it investigates the adverse effects of dust accumulation on system performance.</div></div><div><h3>Methods</h3><div>Various factors, including wind speed (V_w), inlet velocity (V_in), solar irradiation (G), fraction of ternary nano-powders (ϕ), and dust density (ɷ), are scrutinized for their influences on system behavior. Assessment criteria encompass TEG efficiency (η_TEG), thermal efficiency (η_th), PV efficiency (η_PV), and hydrogen production.</div></div><div><h3>Significant findings</h3><div>The dispersion of ternary nanoparticles in water yields increased values of η_th and η_TEG, approximately by 1.13 % and 1.63 %, respectively, at V_in=0.04 m/s. Substituting sinusoidal tubes for circular tubes at solar irradiation <em>G</em> = 900 W/m² results in enhancements of approximately 1.01 %, 16.78 %, and 9.38 % in η_PV, η_TEG, and η_th, respectively. Dust accumulation causes a decline in system performance due to reduced transmissivity of the glass layer. For sinusoidal tubes, η_PV, η_th, and η_TEG decrease by approximately 13.55 %, 5.41 %, and 3.73 %, respectively, with an increase in ɷ. Integrating the system with an electrolyzer reveals potential for hydrogen production, which can be enhanced by approximately 1.49 % through structural modifications. Additionally, increases in V_in and G can augment H₂ production by around 1.83 % and 28.38 %, respectively, while it decreases by approximately 13.29 % with dust deposition.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"170 ","pages":"Article 105982"},"PeriodicalIF":5.5,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144526","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":"Studying the mechanism of hydrogen production through the HO radical capture reaction of the anion BH4−","authors":"Trinh Le Huyen,&nbsp;Pham Cam Nam","doi":"10.1016/j.jtice.2025.105993","DOIUrl":"10.1016/j.jtice.2025.105993","url":null,"abstract":"<div><h3>Background</h3><div>The tetrahydroborate anion (<span><math><msubsup><mtext>BH</mtext><mn>4</mn><mo>−</mo></msubsup></math></span>) in the T_d symmetry group is recognized as a prominent hydrogen carrier, participating in diverse reactions for hydrogen gas production. This study aims to evaluate the hydrogen-generating mechanism and kinetics of the <span><math><msubsup><mtext>BH</mtext><mn>4</mn><mo>−</mo></msubsup></math></span> + HO^• reactions using Density Functional Theory (DFT) analysis.</div></div><div><h3>Methods</h3><div>By employing the M06-2X/6-311++G(d,p) method, optimized structures and electronic properties of <span><math><msubsup><mtext>BH</mtext><mn>4</mn><mo>−</mo></msubsup></math></span>, as well as potential intermediates and transition states in the reaction, were investigated. Additionally, the solvent effect on the reaction mechanism was taken into account through the utilization of solvation model density (SMD). The rate constants were calculated within the framework of Transition State Theory (TST).</div></div><div><h3>Significant Findings</h3><div>This research elucidates the complex processes involved in hydrogen generation from the interaction between <span><math><msubsup><mtext>BH</mtext><mn>4</mn><mo>−</mo></msubsup></math></span> and HO^•, providing insights valuable for various applications in biotechnology and hydrogen energy technologies</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"170 ","pages":"Article 105993"},"PeriodicalIF":5.5,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143144525","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":"Design and preparation of ZnCo bimetallic metal-organic framework decorated on cellulose nanocrystals/magnetic graphene oxide for amoxicillin removal from aqueous solution","authors":"Malihe Pooresmaeil ,&nbsp;Amir Jedari Zarehzadeh ,&nbsp;Hassan Namazi","doi":"10.1016/j.jtice.2025.105999","DOIUrl":"10.1016/j.jtice.2025.105999","url":null,"abstract":"<div><h3>Background</h3><div>Recently cellulose nanocrystals (CNCs) based nanocomposites have attracted considerable attention in the water treatment area owing to their special features like low cost, environmentally friendly, easy modification, etc. Considering these, as well as the importance of the removal of the antibiotic from water, for the first time, this research work aims to focus on the development of a new nanocomposite of ZnCo bimetallic metal-organic framework decorated on CNCs/magnetic graphene oxide (CNCs/MOF(Zn-Co)/MG) for use in water treatment. Although to date, many efforts have focused on the design of new CNCs based nanocomposites, according to our knowledge, to this day, there has been no study on the preparation and use of CNCs/MOF(Zn-Co)/MG as the amoxicillin (AMX) adsorbent.</div></div><div><h3>Method</h3><div>CNCs/MOF(Zn-Co)/MG was prepared for the first time through the surface modification of prepared CNCs via in situ MOF(Zn-Co) growth which the CNCs/MOF(Zn-Co) was then hybridized with MG. Batch adsorption studies were performed to explore the potential of CNCs/MOF(Zn-Co)/MG for AMX removal from the aqueous solution.</div></div><div><h3>Significant findings</h3><div>The textural and structural properties of the CNCs/MOF(Zn-Co)/MG were explored by using various techniques, namely by X-ray diffraction (XRD), Fourier-transform infrared (FT-IR), and energy dispersive X-ray (EDX) analyses. Meanwhile, the surface changes of rice husk due to bleaching, FeCl₃ catalyzed citric acid hydrolysis, MOF(Zn-Co) growth, and composition with MG were monitored employing scanning electron microscopy (SEM). Brunauer-Emmett-Teller (BET) result obtained a mean pore diameter of ∼6.19 nm for CNCs/MOF(Zn-Co)/MG. Specifically, the introduction of the magnetic material, MG in the structure of the final nanocomposite resulted in a magnetic construct with a magnetic saturation of 22.79 emu/g. The outcomes of the batch adsorption tests displayed a 57.22 % AMX removal rate after 5 h when the concentration of AMX was 100 mg/L, pH was 7, and the mass of newly developed CNCs/MOF(Zn-Co)/MG was about 60 mg. The isotherm and kinetic studies verified that the adsorption was fitted with the Freundlich isotherm and the pseudo-first-order models. It also was established that the CNCs/MOF(Zn-Co)/MG could be reused with an acceptable removal efficiency in five cycles which is a good sign of the system benefit from the economic viewpoint. Overall the findings can offer insights into the applicability of eco-friendly CNCs/MOF(Zn-Co)/MG nanocomposite in water treatment.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"170 ","pages":"Article 105999"},"PeriodicalIF":5.5,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143145151","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":"Application of deep learning models with spectral data augmentation and Denoising for predicting total phosphorus concentration in water pollution","authors":"Cailing Wang,&nbsp;Wolong Xiong,&nbsp;Guohao Zhang","doi":"10.1016/j.jtice.2024.105852","DOIUrl":"10.1016/j.jtice.2024.105852","url":null,"abstract":"<div><h3>Background</h3><div>With the increasing severity of global water pollution, accurate prediction models of water pollution content are critical for effective environmental management. However, traditional methods often exhibit low prediction accuracy for pollutant concentrations when data samples are limited and do not adequately address data noise. This study focuses on predicting total phosphorus (TP) concentrations in the Yangtze River Basin by integrating data augmentation and denoising methods with spectral technology and deep learning, using water samples collected from Wuhan to Anhui, China.</div></div><div><h3>Method</h3><div>The study utilized an improved Conditional Generative Adversarial Networks (CGAN) for data augmentation, increasing dataset diversity and training effectiveness. Adaptive threshold wavelet denoising is applied to reduce noise and improve data quality. A Convolutional Neural Network (CNN) with a coordinate attention (CA) mechanism is used to extract key spectral features linked to TP concentration prediction.</div></div><div><h3>Significant Findings</h3><div>This study introduces an innovative approach that combines advanced CGAN-based data augmentation, adaptive threshold wavelet denoising, and a CNN model incorporating a CA mechanism, achieving high accuracy in TP concentration prediction. The proposed model outperforms traditional methods, achieving R² = 0.9805, RMSE = 0.0019, and MAE = 0.0009. This novel method significantly enhances prediction performance, providing an effective solution particularly in scenarios with limited data samples.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"167 ","pages":"Article 105852"},"PeriodicalIF":5.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131351","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":"Machine learning predicts properties of hydrochar derived from digestate","authors":"Wei Wang ,&nbsp;Jo-Shu Chang ,&nbsp;Duu-Jong Lee","doi":"10.1016/j.jtice.2024.105862","DOIUrl":"10.1016/j.jtice.2024.105862","url":null,"abstract":"<div><h3>Background</h3><div>Hydrothermal carbonization (HTC) is a promising solution for digestate valorization, and machine learning (ML) is a helpful tool for modeling hydrochar properties.</div></div><div><h3>Methods</h3><div>This study utilized two ensemble tree-based ML algorithms, the random forest (RF) and the eXtreme Gradient Boosting (XGB), for predicting digestate-derived hydrochar yield, properties (Cc, Hc Nc, Oc, <em>Sc</em>, Ashc, HHVc), and HTC process index including energy yield (EY), energy densification (ED), and carbon recovery (CR).</div></div><div><h3>Significant Findings</h3><div>In most cases, XGB showed better predictive performance, including yield, Cc, Hc, Nc, Ashc, HHVc, EY, and ED prediction, while RF revealed better performance in Oc, <em>Sc</em>, and CR prediction. XGB and RF showed satisfactory performance in predicting Cc, Hc, Oc, <em>Sc</em>, Ashc, and HHVc, with test R² of 0.856–0.942 and 0.864–0.947, respectively. The multi-task model for predicting yield and hydrochar properties (Cc, Hc, Nc, Oc, <em>Sc</em>, Ashc, HHVc) was also developed. XGB reveals better performance than RF, with the average test R² of XGB could achieve 0.895, which is comparable to the current published work. The SHapley Additive exPlanations (SHAP) analysis reveals that digestate ash content, C content, and HTC temperature (T) dominate multi-task predictions. The chain regressor technique enhanced the model performance toward multi-task prediction, including EY, ED, and CR: in RF, the test R² of ED and CR were increased by 38 % and 26 %, respectively, while in XGB, the test R² of ED was improved by 48 %. The developed ML model in this work could satisfactorily predict hydrochar properties, forming a basis for optimizing HTC process parameters and determining suitable applications for digestate valorization. ML effectively maps the correlation between input features and output responses, making ML a time-efficient and practicable tool for prediction tasks and identifying essential features, especially for multi-output prediction with high-dimension.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"167 ","pages":"Article 105862"},"PeriodicalIF":5.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131829","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":"Optimizing solar panel performance with new algorithm incorporating duct with helical tape and hybrid nanofluid","authors":"A. Anisi ,&nbsp;M. Sheikholeslami ,&nbsp;Z. Khalili ,&nbsp;Faranack M. Boora","doi":"10.1016/j.jtice.2024.105908","DOIUrl":"10.1016/j.jtice.2024.105908","url":null,"abstract":"<div><h3>Background</h3><div>This work introduces an innovative configuration for intensifying the productivity of solar photovoltaic-thermal units (PVT) through the incorporation of a cooling system. Notably, a thermoelectric module is strategically added to further intensification of produced electricity.</div></div><div><h3>Methods</h3><div>This unit has a duct where the hybrid nanofluid passes through which a turbulator is placed. Furthermore, this system has a jet impingement component. In a departure from traditional methodologies, this investigation optimizes the PVT unit's overall effectiveness by employing an algorithm based on machine learning. Three critical goal functions are considered in this optimization process: <em>Ep</em> (pumping power), <em>CO</em>₂ − <em>m</em> (CO₂ mitigation), and <em>Profit</em> of the system, each of which respectively represents the generated electrical energy for energy analysis, the reduction of produced carbon for environmental evaluation and the financial gain from employing the present system for economic assessment. This innovative approach not only contributes to advancing the field of solar photovoltaic-thermal systems but also underscores the importance of optimizing these units for increased energy efficiency, reduced environmental impact, and enhanced economic viability in the context of renewable energy technologies.</div></div><div><h3>Significant findings</h3><div>The connections between the PVT's variable mappings, comprising the input parameters of the fluid velocity (<em>V_Tube</em>), solar radiation (<em>G</em>), jet impingement velocity (<em>V_J</em>), and helical tape ratio (<em>R</em>) and the outputs of the <em>E_p, Profit, CO</em>₂ − <em>m</em>, are established through the implementation of various models. The findings suggest that the GPR (Gaussian Process Regression) model is the most appropriate, as evidenced by its <em>R</em>² values of 0.9987, 1, and 1 for <em>E_p, Profit</em>, and <em>CO</em>₂ − <em>m</em>, correspondingly. The NSGA-II technique is utilized in this study. This procedure is used to ascertain the Pareto optimal solutions with respect to all three conflicting objectives. The outcome illustrates the Pareto graphs, and each of them in provides a suitable compromise between all objectives without degrading any of them.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"167 ","pages":"Article 105908"},"PeriodicalIF":5.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131834","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":"Experimental and numerical study on the quasi-periodic pulsation characteristics of cavitation flow in a control valve","authors":"Xiaogang Xu ,&nbsp;Jinghe Bi ,&nbsp;Liang Fang ,&nbsp;Anjun Li ,&nbsp;Zhenbo Wang ,&nbsp;Qiang Li","doi":"10.1016/j.jtice.2024.105911","DOIUrl":"10.1016/j.jtice.2024.105911","url":null,"abstract":"<div><h3>Background</h3><div>Cavitation poses a significant challenge for high-pressure drop control valves, as it can lead to considerable damage, including noise and vibration. The unsteady pulsation characteristics of cavitation flow, which are essential for comprehending flow-induced noise and vibration, remain inadequately understood.</div></div><div><h3>Methods</h3><div>This study investigates the unsteady quasi-periodic pulsation characteristics of cavitation flow in a control valve through experimental visualization and numerical modeling using the Large Eddy Simulation (LES) model.</div></div><div><h3>Significant Findings</h3><div>The results reveal that a key feature of throttling cavitation flow is the continuous shedding of hollow circular cavity structures in a quasi-periodic manner from the throttling section to the downstream region. A strong interaction exists between the evolution of the main vortex structures and the cavity structures. The unsteady characteristics of the flow parameters are significantly influenced by the quasi-periodic evolution of the large-scale cavity-vortex structure. The primary factor affecting the fluctuating characteristics of throttling cavitation flow is the quasi-periodic transfer of mechanical energy induced by the evolution of large-scale cavity-vortex structures. Under more severe cavitation conditions, the unsteady pulsation characteristics of velocity and pressure become more pronounced.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"167 ","pages":"Article 105911"},"PeriodicalIF":5.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131845","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":"Bibliometric insights into metal-organic frameworks modified with metal-based materials for hydrogen storage: Prospects, opportunities and challenges","authors":"B.A. Abdulkadir ,&nbsp;H.D. Setiabudi","doi":"10.1016/j.jtice.2024.105893","DOIUrl":"10.1016/j.jtice.2024.105893","url":null,"abstract":"<div><h3>Backgrounds</h3><div>Solid-state hydrogen storage technology is known for its reliability and cost-effectiveness. Porous materials such as metal-organic frameworks (MOFs) are a major area of interest because of their high surface area and porosity. Recent advancements in modifying MOFs with metal-based materials offer new avenues for enhancing their storage capacity and stability. However, the research landscape in this area remains complex, necessitating a comprehensive overview.</div></div><div><h3>Methods</h3><div>This review critically examines recent studies on MOFs using metal-based materials to enhance hydrogen storage capacities. A bibliometric analysis was conducted to identify and analyse the key research related to MOFs, such as publication trends, author collaborations, and research clusters. The paper also explores MOFs' synthesis, characterisation, and hydrogen adsorption processes. Visual analytical tools were employed to map research trajectories and identify gaps in the literature.</div></div><div><h3>Significant findings</h3><div>The analysis reveals a considerable increase in publications related to this field, with a rise in interdisciplinary collaborations between materials science and engineering. Key findings highlight that metal modifications enhance hydrogen storage kinetics. Despite the promising advancements, challenges persist, including material stability under high operational conditions. The work further identifies the current state of research and outlines critical opportunities for future exploration, such as integrating machine learning techniques. Key research trends and collaborative networks were identified, shedding light on the advancements in this area.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"167 ","pages":"Article 105893"},"PeriodicalIF":5.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131214","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":"Insight into the synergy effect of BDD anode for peroxymonosulfate activation: The radical and non-radical mechanisms","authors":"Huanting Bai ,&nbsp;Tiantian Zhang ,&nbsp;Yatong Jing ,&nbsp;Xiaohan Wang ,&nbsp;Juan Guo ,&nbsp;Chao Bai ,&nbsp;Tuo Wang ,&nbsp;Mingming Ta ,&nbsp;Fuchun Zhang ,&nbsp;Yanzhong Zhen","doi":"10.1016/j.jtice.2024.105855","DOIUrl":"10.1016/j.jtice.2024.105855","url":null,"abstract":"<div><h3>Background</h3><div>The widespread use of carbamazepine (CBZ) has led to environmental contamination of water bodies, raising concerns about water quality safety and ecosystem health.</div></div><div><h3>Methods</h3><div>In this study, an electrochemical process for activating peroxymonosulfate is conducted, with boron-doped diamond as anode (E-BDD-PMS). The BDD anode possesses a high over-potential for oxygen, which effectively suppresses the generation of oxygen evolution side reactions.</div></div><div><h3>Significant findings</h3><div>Under the optimal condition, 89.57 % of CBZ could be removed within 40 min. The quenching experiments and EPR analysis revealed that both free radicals (•OH and <span><math><msubsup><mtext>SO</mtext><mrow><mn>4</mn></mrow><mrow><mo>•</mo><mo>−</mo></mrow></msubsup></math></span>) and nonradicals (¹O₂) participated in the reaction. Specifically, the CBZ oxidation mainly occurs via four pathways: DET, PMS oxidation, radical oxidation, nonradical oxidation. The contributions of these four pathways are 11.67 %, 5.84 %, 32.72 % and 50.08 %, respectively. Meanwhile, the removal of seven different pollutants are also studied. Based on the experimental results, the E-BDD-PMS process has a great promise in organic contaminants degradation.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"167 ","pages":"Article 105855"},"PeriodicalIF":5.5,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131354","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}