Journal of the Taiwan Institute of Chemical Engineers最新文献_第7页

Process monitoring based on global-local multi-information integrated progressive graph convolutional network using causal inference and variable perturbation

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2025-01-09 DOI: 10.1016/j.jtice.2025.105954

Keyu Yao, Hongbo Shi, Yuguo Yang, Bing Song, Yang Tao

Background

Process monitoring in modern industrial processes is essential, however, few existing methods have been proposed to differentiate the scope of influence of these faults. Furthermore, incorrect fault traceability can be misleading to operators and negatively affect fault isolation.

Method

This paper proposes a process monitoring method named G-L MIIPGCN for unit-coupled industrial processes. First, the spatial topology graph of time-ordered correlation is constructed for local monitoring, and sequence-to-sequence latent variable forecasting is introduced to better capture the dynamic attributes. Second, the process monitoring indicators are constructed by fusing local information through the adaptive weighted summation mechanism (AWSM) and global feature selection (GFS). Then, the constrained path search algorithm (CPSA) is proposed to obtain fault propagation paths, and the path propagation selection indicator (PPSI) is introduced to obtain the dominant fault propagation path and an evaluation indicator is used to judge the trustworthiness of it.

Significant Findings

Our analysis indicates the inaccurate localisation of fault-generated effects significantly influences the monitoring performance. Experimental results demonstrate that G-L MIIPGCN exhibits excellent performance on the Tennessee Eastman dataset. This method effectively mitigates the problem caused by the coupled units and the smearing effect between variables, demonstrating its potential in process monitoring.

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引用次数: 0

Stabilize the oxygen vacancies in CuFe2O4 via altering local electronic structure by Co doping: Critical role of Co doping and photo-Fenton degradation of chloramphenicol

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2025-01-09 DOI: 10.1016/j.jtice.2024.105936

S. Sudheer Khan , V. Vinotha Sre , M. Swedha , Asad Syed , Abdallah M. Elgorban , Islem Abid , Ling Shing Wong

Background

The indiscriminate use of chloramphenicol (CHLORO) leads to its release into surface and groundwaters which causes the emergence of antibiotic-resistant bacteria that could pose a detrimental threat to human health and aquatic life.

Methods

Herein, we investigated the manipulation of lattice strain in CuFe₂O₄ (CFO) through cobalt (Co) doping and oxygen vacancies (O_V) by a simple co-precipitation method for improved photocatalytic performance. The critical role of Co doping and photo-Fenton degradation of chloramphenicol CHLORO under visible light irradiation was investigated.

Findings

The study highlighted the enhanced photocatalytic degradation of CHLORO by Cu0_.6Co_0.4Fe₂O₄ nanocatalyst (Co-CFO-0.4 NCs) and it reached 99.8 % and the photocatalyst was stable even after 6th cycle. Here, the analysis of the CFO material indicates that Co doping creates unique compressive forces, whereas O_V leads to tensile forces, both contributing to the enhancement of localized lattice strain. The Co-CFO-0.4 NCs exhibited 1.51 times enhanced photocatalytic activity than pristine compounds for CHLORO degradation. The predominant generation of hydroxyl radical (•OH) by Co-CFO-0.4 NCs along with contributions from hydrogen peroxide (H₂O₂), significantly increases the catalytic activity of the material, leading to complete degradation of CHLORO. The radical's formation was validated by using electron spin resonance (ESR) and scavenging studies. Additionally, the degradation pathway of CHLORO by Co-CFO-0.4 NCs were proposed and the possible toxicity associated with the intermediated were predicted. The study underscores the importance of engineering O_v and surface doping to enhance the performance of photocatalysts, thereby contributing to wastewater remediation.

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引用次数: 0

Facile fabrication of 3D structure of carrageenan gel at room temperature and spontaneous formation of carrageenan microgels

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2025-01-07 DOI: 10.1016/j.jtice.2025.105953

Chun-Wei Chang , Trung Hieu Vo , Yu-Jane Sheng , Heng-Kwong Tsao

Background

Carrageenan is a linear, charged polysaccharide that is commonly used as food hydrocolloids and drug carriers.

Methods

After differentiating the gelling mechanisms of hydrogen bond and cation-bridge, this study presents a novel and facile method for obtaining carrageenan hydrogel that can be easily shaped into capsules and free-standing films at room temperature.

Significant findings

In this work, the bio-natural polymer carrageenan is used to develop (1) weak gels for biodegradable 3D printing ink, and (2) spontaneously formed microgels that serve as a supporting medium for 3D printing. A weak gel based solely on hydrogen bonds is developed, which can subsequently be transformed into a strong gel by introducing cation bridges. Therefore, the weak gel can serve as biodegradable 3D printing ink for producing structures by injecting it into a supporting medium containing specific cations. When the carrageenan concentration is low, the bulk gel fails to form. However, the micron-sized microgel can still form spontaneously due to cation-bridges, rather than hydrogen bonds. The dispersion of carrageenan microgels shows both yield stress and viscoelasticity. Upon centrifugation, the concentrated dispersion displays self-healing ability and can serve as a supporting medium for 3D printing.

{"title":"Facile fabrication of 3D structure of carrageenan gel at room temperature and spontaneous formation of carrageenan microgels","authors":"Chun-Wei Chang , Trung Hieu Vo , Yu-Jane Sheng , Heng-Kwong Tsao","doi":"10.1016/j.jtice.2025.105953","DOIUrl":"10.1016/j.jtice.2025.105953","url":null,"abstract":"<div><h3>Background</h3><div>Carrageenan is a linear, charged polysaccharide that is commonly used as food hydrocolloids and drug carriers.</div></div><div><h3>Methods</h3><div>After differentiating the gelling mechanisms of hydrogen bond and cation-bridge, this study presents a novel and facile method for obtaining carrageenan hydrogel that can be easily shaped into capsules and free-standing films at room temperature.</div></div><div><h3>Significant findings</h3><div>In this work, the bio-natural polymer carrageenan is used to develop (1) weak gels for biodegradable 3D printing ink, and (2) spontaneously formed microgels that serve as a supporting medium for 3D printing. A weak gel based solely on hydrogen bonds is developed, which can subsequently be transformed into a strong gel by introducing cation bridges. Therefore, the weak gel can serve as biodegradable 3D printing ink for producing structures by injecting it into a supporting medium containing specific cations. When the carrageenan concentration is low, the bulk gel fails to form. However, the micron-sized microgel can still form spontaneously due to cation-bridges, rather than hydrogen bonds. The dispersion of carrageenan microgels shows both yield stress and viscoelasticity. Upon centrifugation, the concentrated dispersion displays self-healing ability and can serve as a supporting medium for 3D printing.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"169 ","pages":"Article 105953"},"PeriodicalIF":5.5,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143150866","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}

引用次数: 0

Tailoring the interfacial interactions of PVDF-HFP with PZT@ZnO towards enhanced polarization orientation, piezoelectricity, and piezoelectric energy harvesting performance

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2025-01-07 DOI: 10.1016/j.jtice.2025.105957

Retno Damastuti, Ravichandran Jayachitra, Hao Yu, Adhimoorthy Prasannan, Po-Da Hong

Background

Utilizing flexible piezoelectric technology to facilitate the development of environmentally sustainable energy sources has recently piqued significant interest. The development of piezoelectric as a malleable material that can transform mechanical stress into electrical energy makes it possible to create flexible, wearable electronics that may be easily incorporated into clothes, fitness, and personal entertainment applications for increased usability and convenience.

Methods

A malleable piezoelectric material was created using a copolymer derived from PVDF. This composite material, designated as PVDF-HFP/PZT@ZnO, involved altering the surface of the piezoelectric ceramic filler with ZnO. The manufacturing process employed co-precipitation and solvent casting techniques, leading to a unique filler morphology and improved compatibility. As a result, the piezoelectric properties of the material were significantly enhanced.

Significant Finding

A self-assembled structure improves the uniform dispersibility within the matrix, as visually evidenced by the SEM image. Furthermore, the amplified proportion of the crystalline (β and γ) phase yielded an impressive ultimate tensile strength (UTS) of 1.65 MPa, as corroborated by XRD, Raman analysis, and tensile testing. The Fourier-transform infrared spectroscopy (FTIR) data indicated that the introduction of a filler material increased the electroactive phase (F(EA)) from 54 % to 81 %. This result also led to a significant increase in the output voltage from 5 V to 18V. The piezoelectric coefficient (d₃₃) was 45 pC/N. This work demonstrates that adjusting the PZT surface can enhance interface compatibility, induce the crystalline phase, and ultimately lead to higher piezoelectric output voltage values.

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引用次数: 0

Advanced CO2 capture: Hydrophobic PVDF membranes integrated with stearic-acid modified ZnO nanohybrids

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2025-01-07 DOI: 10.1016/j.jtice.2025.105958

Riya Sidhikku Kandath Valappil, Muhammad Waseem, Nayef Ghasem, Mohamed Al-Marzouqi

Backgrounds

Efficient CO₂ capture is necessary for minimizing greenhouse gas emissions and addressing climate change while also playing a critical role in natural gas purification and flue gas treatment. Membrane-based gas absorption technologies offer a promising solution owing to their potential to address high energy demands and operational inefficiencies. However, their carbon capture performance is critically hindered by membrane-wetting.

Methods

A facile method is employed to enhance the hydrophobicity of PVDF membranes by incorporating stearic acid-modified ZnO nano hybrids into the polymer matrix. The fabricated membranes were tested using a simulated natural gas mixture, and their structural and functional improvements were characterized using various analytical techniques.

Key findings

The hybrid membranes exhibited enhanced hydrophobicity, with the water contact angle showing an increase from 84.8° to 106.2°. The addition of ZnO nano hybrids enhanced the membrane properties, resulting in a CO₂ absorption flux of 2.3 × 10⁻³ mol/m²/s that was 156 % higher than pristine PVDF membranes, while reducing the membrane mass transfer resistance from 1810.1 s/m to 1184.3 s/m. These results validate the potential of employing this eco-friendly and feasible modification approach for developing high-performance PVDF membranes for gas absorption applications.

{"title":"Advanced CO2 capture: Hydrophobic PVDF membranes integrated with stearic-acid modified ZnO nanohybrids","authors":"Riya Sidhikku Kandath Valappil, Muhammad Waseem, Nayef Ghasem, Mohamed Al-Marzouqi","doi":"10.1016/j.jtice.2025.105958","DOIUrl":"10.1016/j.jtice.2025.105958","url":null,"abstract":"<div><h3>Backgrounds</h3><div>Efficient CO₂ capture is necessary for minimizing greenhouse gas emissions and addressing climate change while also playing a critical role in natural gas purification and flue gas treatment. Membrane-based gas absorption technologies offer a promising solution owing to their potential to address high energy demands and operational inefficiencies. However, their carbon capture performance is critically hindered by membrane-wetting.</div></div><div><h3>Methods</h3><div>A facile method is employed to enhance the hydrophobicity of PVDF membranes by incorporating stearic acid-modified ZnO nano hybrids into the polymer matrix. The fabricated membranes were tested using a simulated natural gas mixture, and their structural and functional improvements were characterized using various analytical techniques.</div></div><div><h3>Key findings</h3><div>The hybrid membranes exhibited enhanced hydrophobicity, with the water contact angle showing an increase from 84.8° to 106.2°. The addition of ZnO nano hybrids enhanced the membrane properties, resulting in a CO₂ absorption flux of 2.3 × 10⁻³ mol/m²/s that was 156 % higher than pristine PVDF membranes, while reducing the membrane mass transfer resistance from 1810.1 s/m to 1184.3 s/m. These results validate the potential of employing this eco-friendly and feasible modification approach for developing high-performance PVDF membranes for gas absorption applications.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"169 ","pages":"Article 105958"},"PeriodicalIF":5.5,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143151274","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}

引用次数: 0

Nitrogen-doped graphene and iron oxide nanoparticles for photocatalytic degradation

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2025-01-07 DOI: 10.1016/j.jtice.2025.105950

Santhoshbalaji Muthuvijayan , Debarun Banerjee , Soumya Chatterjee , T. Theivasanthi , Subash C.B. Gopinath

Background

The environmental pollution of organic dyes in wastewater has become a serious global challenge which needs innovative and efficient remediation strategies. An efficient but sustainable approach for tackling Wastewater treatment is through Photocatalysis, utilizing highly catalytic materials. The objective of this study is to develop a nitrogen-doped graphene and iron oxide nanocomposite photocatalyst as a powerful organic dye degrading photocatalyst.

Methods

The nitrogen-doped graphene and iron oxide nanocomposite was synthesized through a multi-step process. Nitrogen-doped graphene was prepared by electrochemical exfoliation of graphite followed by nitrogen incorporation through high-temperature annealing. Iron oxide nanoparticles were synthesized using a co-precipitation method with ferric and ferrous chloride precursors. The nanocomposite was fabricated via ultrasonic dispersion of nitrogen-doped graphene and iron oxide in deionized water to ensure uniform distribution. Structural and morphological properties were characterized using XRD, SEM, and FTIR. Photocatalytic activity was evaluated by monitoring the degradation of methylene blue dye under UV light, with degradation tracked spectrophotometrically at 664 nm and catalyst dosages optimized for maximum efficiency.

Significant findings

The resulting nanocomposite degraded MB by 94.5 % in 60 min, vastly better than pristine graphene 58 % and iron oxide nanoparticles 28 % under similar conditions. The synergistic doping of nitrogen and the integration of iron oxide are found to enhance photocatalytic activity by improving light absorption, facilitating charge separation, and generating reactive oxygen species (ROS). These results suggest that the nitrogen-doped graphene and iron oxide nanocomposite may serve as a scalable, sustainable approach to wastewater treatment and present a major advance in environmental remediation technologies.

{"title":"Nitrogen-doped graphene and iron oxide nanoparticles for photocatalytic degradation","authors":"Santhoshbalaji Muthuvijayan , Debarun Banerjee , Soumya Chatterjee , T. Theivasanthi , Subash C.B. Gopinath","doi":"10.1016/j.jtice.2025.105950","DOIUrl":"10.1016/j.jtice.2025.105950","url":null,"abstract":"<div><h3>Background</h3><div>The environmental pollution of organic dyes in wastewater has become a serious global challenge which needs innovative and efficient remediation strategies. An efficient but sustainable approach for tackling Wastewater treatment is through Photocatalysis, utilizing highly catalytic materials. The objective of this study is to develop a nitrogen-doped graphene and iron oxide nanocomposite photocatalyst as a powerful organic dye degrading photocatalyst.</div></div><div><h3>Methods</h3><div>The nitrogen-doped graphene and iron oxide nanocomposite was synthesized through a multi-step process. Nitrogen-doped graphene was prepared by electrochemical exfoliation of graphite followed by nitrogen incorporation through high-temperature annealing. Iron oxide nanoparticles were synthesized using a co-precipitation method with ferric and ferrous chloride precursors. The nanocomposite was fabricated via ultrasonic dispersion of nitrogen-doped graphene and iron oxide in deionized water to ensure uniform distribution. Structural and morphological properties were characterized using XRD, SEM, and FTIR. Photocatalytic activity was evaluated by monitoring the degradation of methylene blue dye under UV light, with degradation tracked spectrophotometrically at 664 nm and catalyst dosages optimized for maximum efficiency.</div></div><div><h3>Significant findings</h3><div>The resulting nanocomposite degraded MB by 94.5 % in 60 min, vastly better than pristine graphene 58 % and iron oxide nanoparticles 28 % under similar conditions. The synergistic doping of nitrogen and the integration of iron oxide are found to enhance photocatalytic activity by improving light absorption, facilitating charge separation, and generating reactive oxygen species (ROS). These results suggest that the nitrogen-doped graphene and iron oxide nanocomposite may serve as a scalable, sustainable approach to wastewater treatment and present a major advance in environmental remediation technologies.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"168 ","pages":"Article 105950"},"PeriodicalIF":5.5,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160714","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}

引用次数: 0

Robust group intelligent models for predicting hydrogen density and viscosity: Implication for hydrogen production, transportation, and storage

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2025-01-06 DOI: 10.1016/j.jtice.2024.105949

Fahd Mohamad Alqahtani , Mohamed Riad Youcefi , Menad Nait Amar , Hakim Djema , Mohammad Ghasemi

Background

Accurate hydrogen density and viscosity determinations are crucial for optimizing processes, enhancing energy efficiency, and ensuring safety in fuel cells and storage.

Methods

In this study, we propose new robust machine learning (ML) models using decades of data to predict hydrogen density and viscosity across various pressures and temperatures. The ML-based viscosity models were developed using 1063 measurements under pressure and temperature ranges of 0.006–216.443 MPa and 14–2128 K, respectively, while the density models were implemented using 368 data points covering pressure and temperature intervals of 0.098–216.443 MPa and 150–423.15 K, respectively. Our approach combines multilayer perceptron (MLP) and cascaded forward neural network (CFNN) models, integrated through the group method of data handling (GMDH), to form an advanced committee machine intelligent system (CMIS-GMDH). Additionally, new explicit expressions are implemented using multi-gene genetic programming (MGGP) to predict hydrogen density and viscosity.

Significant findings

The results demonstrated that the implemented correlations and CMIS-GMDH models offer precise predictions of the two parameters. Besides, analyses of the prediction performance exhibited that the introduced CMIS-GMDH is the most accurate paradigm by achieving small root mean square error (RMSE) values of 0.0983 and 0.1754 for density and viscosity, respectively. Furthermore, the comparison with previous studies revealed that the CMIS-GMDH models yield superior accuracy in hydrogen density and viscosity estimations. Lastly, the physical validity of the best models was investigated by carrying out thorough trend analyses.

{"title":"Robust group intelligent models for predicting hydrogen density and viscosity: Implication for hydrogen production, transportation, and storage","authors":"Fahd Mohamad Alqahtani , Mohamed Riad Youcefi , Menad Nait Amar , Hakim Djema , Mohammad Ghasemi","doi":"10.1016/j.jtice.2024.105949","DOIUrl":"10.1016/j.jtice.2024.105949","url":null,"abstract":"<div><h3>Background</h3><div>Accurate hydrogen density and viscosity determinations are crucial for optimizing processes, enhancing energy efficiency, and ensuring safety in fuel cells and storage.</div></div><div><h3>Methods</h3><div>In this study, we propose new robust machine learning (ML) models using decades of data to predict hydrogen density and viscosity across various pressures and temperatures. The ML-based viscosity models were developed using 1063 measurements under pressure and temperature ranges of 0.006–216.443 MPa and 14–2128 K, respectively, while the density models were implemented using 368 data points covering pressure and temperature intervals of 0.098–216.443 MPa and 150–423.15 K, respectively. Our approach combines multilayer perceptron (MLP) and cascaded forward neural network (CFNN) models, integrated through the group method of data handling (GMDH), to form an advanced committee machine intelligent system (CMIS-GMDH). Additionally, new explicit expressions are implemented using multi-gene genetic programming (MGGP) to predict hydrogen density and viscosity.</div></div><div><h3>Significant findings</h3><div>The results demonstrated that the implemented correlations and CMIS-GMDH models offer precise predictions of the two parameters. Besides, analyses of the prediction performance exhibited that the introduced CMIS-GMDH is the most accurate paradigm by achieving small root mean square error (RMSE) values of 0.0983 and 0.1754 for density and viscosity, respectively. Furthermore, the comparison with previous studies revealed that the CMIS-GMDH models yield superior accuracy in hydrogen density and viscosity estimations. Lastly, the physical validity of the best models was investigated by carrying out thorough trend analyses.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"168 ","pages":"Article 105949"},"PeriodicalIF":5.5,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160716","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}

引用次数: 0

Influence of sulfurization treatments on electrochemical performances of spherical-like NiO/Rod-like Co3O4 electrocatalysts on air-cathodes of rechargeable Zn-metal/air energy storage system

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2025-01-06 DOI: 10.1016/j.jtice.2024.105924

Ren-Wei Lu , Wen-Hsuan Chen , Ngi-Chiong Lau , Kong-Wei Cheng

Background

Renewable energy is an interesting way to decrease the influence of global warming effect but unstable energy output is the key problem that has to be overcome. To develop an energy storage system is thus an important way for industrial application.

Methods

Powders of spherical-like nickel oxide (NiO)/rod-like tri-cobalt tetra-oxide (Co₃O₄) were obtained using co-precipitation method and then elemental sulphur was doping into samples under sulfurization process. These S-doped samples attached onto carbon powders were coated onto Ni-foams as air-cathodes of our homemade Zn-metal/air energy storage systems for further tests.

Significant findings

The samples showed lower XRD peak intensities and uniform S element distribution in S-incorporated NiO/Co₃O₄ electrocatalysts with an increase in S-doping ratio after sulfurization. Sample with S content of 2.09 % on air-cathode in our homemade battery showed the best electrochemical performance, which exhibited the lowest charge/discharge voltage difference value of 0.73–0.76 V and specific energy capacity of around 766.71 mA-h/g-Zn at constant discharge current density of 10 mA/cm². In the electrochemical impedance spectra of samples, high carrier concentration and low charge transfer resistance of the sample with S content of 2.09 % made it have the best electrochemical performance and stability in electrolyte.

{"title":"Influence of sulfurization treatments on electrochemical performances of spherical-like NiO/Rod-like Co3O4 electrocatalysts on air-cathodes of rechargeable Zn-metal/air energy storage system","authors":"Ren-Wei Lu , Wen-Hsuan Chen , Ngi-Chiong Lau , Kong-Wei Cheng","doi":"10.1016/j.jtice.2024.105924","DOIUrl":"10.1016/j.jtice.2024.105924","url":null,"abstract":"<div><h3>Background</h3><div>Renewable energy is an interesting way to decrease the influence of global warming effect but unstable energy output is the key problem that has to be overcome. To develop an energy storage system is thus an important way for industrial application.</div></div><div><h3>Methods</h3><div>Powders of spherical-like nickel oxide (NiO)/rod-like tri-cobalt tetra-oxide (Co<sub>3</sub>O<sub>4</sub>) were obtained using co-precipitation method and then elemental sulphur was doping into samples under sulfurization process. These S-doped samples attached onto carbon powders were coated onto Ni-foams as air-cathodes of our homemade Zn-metal/air energy storage systems for further tests.</div></div><div><h3>Significant findings</h3><div>The samples showed lower XRD peak intensities and uniform S element distribution in S-incorporated NiO/Co<sub>3</sub>O<sub>4</sub> electrocatalysts with an increase in S-doping ratio after sulfurization. Sample with S content of 2.09 % on air-cathode in our homemade battery showed the best electrochemical performance, which exhibited the lowest charge/discharge voltage difference value of 0.73–0.76 V and specific energy capacity of around 766.71 mA-h/g-Zn at constant discharge current density of 10 mA/cm<sup>2</sup>. In the electrochemical impedance spectra of samples, high carrier concentration and low charge transfer resistance of the sample with S content of 2.09 % made it have the best electrochemical performance and stability in electrolyte.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"168 ","pages":"Article 105924"},"PeriodicalIF":5.5,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143160717","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}

引用次数: 0

Enhancing peroxymonosulfate activation performance of MIL-101(Fe) for efficient dyes degradation: Co-modification of metal-doping and thermal activation

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2025-01-05 DOI: 10.1016/j.jtice.2025.105951

Kui Li , Dali Sun , Hao Wu , Dandan Chen , Ping Lu

Background

MIL-101(Fe), an eco-friendly catalyst in sulfate radical based advanced oxidation processes (SR-AOPs) for treating textile wastewater, faces limitations in peroxymonosulfate (PMS) activation due to its fully coordinatively saturated state and the slow conversion of Fe^III to Fe^II.

Methods

Three co-modified MIL-101(Fe) catalysts of CUS-Fe^Ⅱ-MIL-101(Fe), CUS-Cu^Ⅱ-MIL-101(Fe) and CUS-Co^Ⅱ-MIL-101(Fe) were successfully synthesized by combining metal-doping (Fe²⁺, Cu²⁺ and Co²⁺) and thermal activation (300 °C). The physiochemical properties of as-synthesized catalysts were characterized by powder X-ray diffraction (PXRD), field emission electron microscope coupled with energy dispersive spectroscopy (FESEM-EDS), Brunauer-Emmett-Teller (BET) and Fourier transform infrared spectroscopy (FTIR). The effects of catalyst dosage and type, PMS concentration, solution pH and co-existing anions on methylene blue (MB) degradation in SR-AOPs systems were analyzed, and the degradation mechanisms was discussed by quenching tests with scavengers of Methanol (MeOH), tertbutyl alcohol (TBA), p-benzoquinone (BQ) and l-histidine (L-his).

Significant findings

Compared to the MB degradation efficiency of original MIL-101(Fe) (92.5 %), three co-modified catalysts shown higher MB degradation efficiencies of 97.5 %, 98.1 % and an outstanding 100 %, respectively. Free radicals quenching tests indicated that SO₄^•− and •OH played key roles in MB degradation mechanism. Promisingly, the three catalysts also demonstrated high degradation efficiencies above 94.0 % for four additional dyes.

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引用次数: 0

Enhancing anti-fouling and anti-clotting properties of UV Curable 3D printed polyurethane derivative resins with heparin for artificial blood vessels

IF 5.5 3区工程技术 Q1 ENGINEERING, CHEMICAL

Journal of the Taiwan Institute of Chemical Engineers

Pub Date : 2025-01-04 DOI: 10.1016/j.jtice.2024.105933

Yu-Wei Cheng , Nazar Riswana Barveen , Bo-Yu Chen , Yao-Sheng Chang , Jeng-Shiung Chen , Andri Hardiansyah , Ting-Yu Liu

Background

Bottom up stereolithography (SLA) 3D printing technology employs ultraviolet (UV) curing processes to create objects from polyurethane (PU) derivative resins. The proposed UV curable PU derivative offers an excellent anti-fouling and anti-coagulant capabilities for artificial blood vessels.

Methods

The UV curable PU derivative resins were prepared by the photo-initiator (Doublecure®TPO) and oligomers/monomers, which include aliphatic urethane diacrylate, difunctional acrylate, and trifunctional acrylate. Post-synthesis, the PU was activated through a plasma process, followed by acrylic acid treatment to introduce carboxylic functional groups. These groups facilitated the immobilization of heparin, aided by N-hydroxysuccinimide, onto the resin surface.

Significant Findings

The UV-curable PU derivative resins exhibited impressive physical properties, such as elasticity and flexibility, with a tensile stress of 43.1 MPa and an elongation at break of 29.2 %. When modified with heparin, these resins also demonstrated excellent anti-fouling and anti-coagulant properties, reducing protein and platelet adhesion by 60 % and increasing the activated partial thromboplastin time by approximately 1.5 times. These advancements highlight the significant potential of using SLA 3D printing to develop artificial blood vessels, showcasing the ability to create biocompatible, anti-fouling, and anti-clotting vascular replacements.

{"title":"Enhancing anti-fouling and anti-clotting properties of UV Curable 3D printed polyurethane derivative resins with heparin for artificial blood vessels","authors":"Yu-Wei Cheng , Nazar Riswana Barveen , Bo-Yu Chen , Yao-Sheng Chang , Jeng-Shiung Chen , Andri Hardiansyah , Ting-Yu Liu","doi":"10.1016/j.jtice.2024.105933","DOIUrl":"10.1016/j.jtice.2024.105933","url":null,"abstract":"<div><h3>Background</h3><div>Bottom up stereolithography (SLA) 3D printing technology employs ultraviolet (UV) curing processes to create objects from polyurethane (PU) derivative resins. The proposed UV curable PU derivative offers an excellent anti-fouling and anti-coagulant capabilities for artificial blood vessels.</div></div><div><h3>Methods</h3><div>The UV curable PU derivative resins were prepared by the photo-initiator (Doublecure®TPO) and oligomers/monomers, which include aliphatic urethane diacrylate, difunctional acrylate, and trifunctional acrylate. Post-synthesis, the PU was activated through a plasma process, followed by acrylic acid treatment to introduce carboxylic functional groups. These groups facilitated the immobilization of heparin, aided by N-hydroxysuccinimide, onto the resin surface.</div></div><div><h3>Significant Findings</h3><div>The UV-curable PU derivative resins exhibited impressive physical properties, such as elasticity and flexibility, with a tensile stress of 43.1 MPa and an elongation at break of 29.2 %. When modified with heparin, these resins also demonstrated excellent anti-fouling and anti-coagulant properties, reducing protein and platelet adhesion by 60 % and increasing the activated partial thromboplastin time by approximately 1.5 times. These advancements highlight the significant potential of using SLA 3D printing to develop artificial blood vessels, showcasing the ability to create biocompatible, anti-fouling, and anti-clotting vascular replacements.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"168 ","pages":"Article 105933"},"PeriodicalIF":5.5,"publicationDate":"2025-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143161197","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}

引用次数: 0