Pub Date : 2025-12-17DOI: 10.1016/j.jtice.2025.106584
Zifei Gao , Deke Wang , Baoyu Zou , Ye Liu , Xingkang Yu , Qing Li , Juanjuan Ma , Lin Liu , Chao Liu , Zhiwei Tong , Jun Hu
Background
Antibiotics induce bacterial resistance, and their overuse threatens both public health and the environment. Among available technologies, green and efficient photocatalytic degradation has emerged as one of the most promising approaches for antibiotic removal.
Methods
A series of CuNiAl-LDH/Ti3C2 MXene 2D/2D heterostructure composites were fabricated via a hydrothermal method by vertically growing CuNiAl-LDH nanosheet arrays on Ti3C2 flakes. The incorporation of Ti3C2 markedly enhanced the photoelectrochemical performance of the composites by improving charge separation and interfacial transfer efficiency, as confirmed by electrochemical impedance spectroscopy (EIS), transient photocurrent response (TPR), and photoluminescence (PL) analysis.
Significant findings
Among the series, the optimized LT(15) composite achieved 90.3 % degradation efficiency toward tetracycline (TC) within 80 min under visible-light irradiation, which is 2.1 times that of pristine CuNiAl-LDH. The composite also exhibited broad pH tolerance (5–11), excellent structural stability, and recyclability over multiple cycles. Radical scavenging experiments identified photogenerated holes (h⁺) and superoxide radicals (•O₂⁻) as the dominant reactive species. UHPLC-MS and QSAR-based toxicity evaluation demonstrated that TC was progressively mineralized into less toxic or non-toxic intermediates. Wheat seedling assays further confirmed that photocatalytic treatment effectively eliminated ecotoxicity, highlighting the composite’s potential for safe and sustainable antibiotic removal in water remediation.
{"title":"In-situ construction of CuNiAl-LDH/Ti3C2 MXene heterostructure for the visible-light-driven degradation of tetracycline: Performance, mechanism and eco-toxicity evaluation","authors":"Zifei Gao , Deke Wang , Baoyu Zou , Ye Liu , Xingkang Yu , Qing Li , Juanjuan Ma , Lin Liu , Chao Liu , Zhiwei Tong , Jun Hu","doi":"10.1016/j.jtice.2025.106584","DOIUrl":"10.1016/j.jtice.2025.106584","url":null,"abstract":"<div><h3>Background</h3><div>Antibiotics induce bacterial resistance, and their overuse threatens both public health and the environment. Among available technologies, green and efficient photocatalytic degradation has emerged as one of the most promising approaches for antibiotic removal.</div></div><div><h3>Methods</h3><div>A series of CuNiAl-LDH/Ti<sub>3</sub>C<sub>2</sub> MXene 2D/2D heterostructure composites were fabricated via a hydrothermal method by vertically growing CuNiAl-LDH nanosheet arrays on Ti<sub>3</sub>C<sub>2</sub> flakes. The incorporation of Ti<sub>3</sub>C<sub>2</sub> markedly enhanced the photoelectrochemical performance of the composites by improving charge separation and interfacial transfer efficiency, as confirmed by electrochemical impedance spectroscopy (EIS), transient photocurrent response (TPR), and photoluminescence (PL) analysis.</div></div><div><h3>Significant findings</h3><div>Among the series, the optimized LT(15) composite achieved 90.3 % degradation efficiency toward tetracycline (TC) within 80 min under visible-light irradiation, which is 2.1 times that of pristine CuNiAl-LDH. The composite also exhibited broad pH tolerance (5–11), excellent structural stability, and recyclability over multiple cycles. Radical scavenging experiments identified photogenerated holes (h⁺) and superoxide radicals (•O₂⁻) as the dominant reactive species. UHPLC-MS and QSAR-based toxicity evaluation demonstrated that TC was progressively mineralized into less toxic or non-toxic intermediates. Wheat seedling assays further confirmed that photocatalytic treatment effectively eliminated ecotoxicity, highlighting the composite’s potential for safe and sustainable antibiotic removal in water remediation.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"182 ","pages":"Article 106584"},"PeriodicalIF":6.3,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788192","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}
Pub Date : 2025-12-17DOI: 10.1016/j.jtice.2025.106586
Ru Bai , Caili Wang , Zehan Li , Yuhang Miao , Haoyang Tao , Li Wang
Background
Magnesium alloys hold great promise for medical applications due to their high biocompatibility and mechanical properties. However, their rapid corrosion in the body and susceptibility to infections pose significant challenges.
Method
To address these issues, we developed a multifunctional MAO/F/ETPR/Gel composite coating on AZ31B magnesium alloy. This coating integrates photothermal agents (FePC) and ErTm@PDA-RB nanoparticles within a micro-arc oxidation (MAO) layer, sealed with a gelatin layer.
Significant Findings
After the MAO/F/ETPR/Gel coating is applied to the magnesium alloy, the corrosion current density decreases by about two orders of magnitude, demonstrating markedly improved corrosion resistance. Compared with bare magnesium alloy, the coating demonstrates improved antibacterial properties with an antibacterial rate of 99.15 % against Escherichia coli under 980 nm light irradiation. Additionally, it exhibits minimal cytotoxicity to HL-7702 human liver cells, confirming its biocompatibility. This innovative coating combines photodynamic and photothermal therapies, activated by a single near-infrared light source, to address the challenges of rapid degradation and postoperative infections. Our study provides a novel solution for enhancing the performance of magnesium alloy implants in biomedical applications.
{"title":"Multi-functional composite coatings for magnesium alloys integrating photodynamic, photothermal and anti-corrosion","authors":"Ru Bai , Caili Wang , Zehan Li , Yuhang Miao , Haoyang Tao , Li Wang","doi":"10.1016/j.jtice.2025.106586","DOIUrl":"10.1016/j.jtice.2025.106586","url":null,"abstract":"<div><h3>Background</h3><div>Magnesium alloys hold great promise for medical applications due to their high biocompatibility and mechanical properties. However, their rapid corrosion in the body and susceptibility to infections pose significant challenges.</div></div><div><h3>Method</h3><div>To address these issues, we developed a multifunctional MAO/F/ETPR/Gel composite coating on AZ31B magnesium alloy. This coating integrates photothermal agents (FePC) and <strong>ErTm@PDA-RB</strong> nanoparticles within a micro-arc oxidation (MAO) layer, sealed with a gelatin layer.</div></div><div><h3>Significant Findings</h3><div>After the MAO/F/ETPR/Gel coating is applied to the magnesium alloy, the corrosion current density decreases by about two orders of magnitude, demonstrating markedly improved corrosion resistance. Compared with bare magnesium alloy, the coating demonstrates improved antibacterial properties with an antibacterial rate of 99.15 % against <em>Escherichia coli</em> under 980 nm light irradiation. Additionally, it exhibits minimal cytotoxicity to HL-7702 human liver cells, confirming its biocompatibility. This innovative coating combines photodynamic and photothermal therapies, activated by a single near-infrared light source, to address the challenges of rapid degradation and postoperative infections. Our study provides a novel solution for enhancing the performance of magnesium alloy implants in biomedical applications.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"182 ","pages":"Article 106586"},"PeriodicalIF":6.3,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788172","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}
Pub Date : 2025-12-17DOI: 10.1016/j.jtice.2025.106576
Xu YANG , Qiao PENG , Huijie GAO , Baiqiang LIU , Yiyu CHEN , Bolong JIANG , Hua SONG
Background
Efficient non-precious oxygen reduction reaction (ORR) catalysts like Fe-N-C are essential for microbial fuel cells (MFCs). However, they often suffer from limited active site accessibility and suboptimal structure. Biomass-derived carbon combined with rational heteroatom doping offers a promising solution.
Methods
A Fe-N co-doped micro/mesoporous carbon catalyst (FeNCN-H) was synthesized via a one-pot polycondensation-pyrolysis strategy using ammonium ferric citrate as multifunctional Fe/N/structural precursor.
Significant Findings
The incorporation of ammonium ferric citrate proved instrumental in generating a high-surface-area hierarchical pore structure alongside the biochar component, while also facilitating the formation of FeNₓ sites, Pyridinic N, and Graphitic N. This optimization of pore structure, active sites, and conductivity endowed FeNCN-H with superior ORR performance. The catalyst achieved a limiting current density of –6.37 mA cm⁻² and a peak power density of 814.1 mW cm⁻², outperforming control samples and approaching commercial Pt/C. Moreover, the catalyst demonstrated excellent environmental applicability, achieving removal efficiencies of 95.1% for COD, 94.1% for phenol, and 98.3% for methylene blue in wastewater treatment.
Fe-N-C等高效非贵重氧还原反应（ORR）催化剂是微生物燃料电池（mfc）必不可少的催化剂。然而，它们经常受到有限的活性站点可达性和次优结构的影响。生物质衍生碳与合理杂原子掺杂相结合是一种很有前途的解决方案。方法以柠檬酸铁铵为多功能Fe/N/结构前驱体，采用一锅缩聚热解法合成Fe-N共掺杂微介孔碳催化剂（FeNCN-H）。重要发现柠檬酸铁铵的掺入有助于与生物炭组分一起产生高表面积的分层孔结构，同时也促进了FeNₓ位点、吡啶N和石墨N的形成。这种孔结构、活性位点和电导率的优化使FeNCN-H具有优越的ORR性能。催化剂的极限电流密度为-6.37 mA cm - 2，峰值功率密度为814.1 mW cm - 2，优于对照样品，接近商业Pt/C。此外，该催化剂表现出良好的环境适用性，在废水处理中对COD的去除率为95.1%，对苯酚的去除率为94.1%，对亚甲基蓝的去除率为98.3%。
{"title":"Engineering densely accessible FeNₓ sites in straw-derived hierarchical porous carbon for enhanced ORR catalysis and environmental remediation","authors":"Xu YANG , Qiao PENG , Huijie GAO , Baiqiang LIU , Yiyu CHEN , Bolong JIANG , Hua SONG","doi":"10.1016/j.jtice.2025.106576","DOIUrl":"10.1016/j.jtice.2025.106576","url":null,"abstract":"<div><h3>Background</h3><div>Efficient non-precious oxygen reduction reaction (ORR) catalysts like Fe-N-C are essential for microbial fuel cells (MFCs). However, they often suffer from limited active site accessibility and suboptimal structure. Biomass-derived carbon combined with rational heteroatom doping offers a promising solution.</div></div><div><h3>Methods</h3><div>A Fe-N co-doped micro/mesoporous carbon catalyst (FeNC<img>N-H) was synthesized via a one-pot polycondensation-pyrolysis strategy using ammonium ferric citrate as multifunctional Fe/N/structural precursor.</div></div><div><h3>Significant Findings</h3><div>The incorporation of ammonium ferric citrate proved instrumental in generating a high-surface-area hierarchical pore structure alongside the biochar component, while also facilitating the formation of FeNₓ sites, Pyridinic N, and Graphitic N. This optimization of pore structure, active sites, and conductivity endowed FeNC<img>N-H with superior ORR performance. The catalyst achieved a limiting current density of –6.37 mA cm⁻² and a peak power density of 814.1 mW cm⁻², outperforming control samples and approaching commercial Pt/C. Moreover, the catalyst demonstrated excellent environmental applicability, achieving removal efficiencies of 95.1% for COD, 94.1% for phenol, and 98.3% for methylene blue in wastewater treatment.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"182 ","pages":"Article 106576"},"PeriodicalIF":6.3,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788177","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}
Pub Date : 2025-12-17DOI: 10.1016/j.jtice.2025.106587
Xinni Tang , Manying Zhu , Yihui Wu , Jiaxin Luo , Xinrui Yang , Shixing Wang , Libo Zhang
Background
Germanium (Ge) is a rare strategic element, with its content in industrial wastewater far exceeding the Earth's crustal average, necessitating efficient recovery.
Methods
This study synthesized a zirconium-based metal-organic framework (UiO-66–2OH) with hydroxyl groups via solvothermal method using 2,5-dihydroxyterephthalic acid as a linker. Characterization by SEM, EDS, XRD, FT-IR, BET, and XPS confirmed high crystallinity and abundant oxygen-containing groups. Batch adsorption experiments assessed performance.
Significant Findings
UiO-66–2OH showed excellent adsorption capacity and selectivity under alkaline conditions, due to its porous structure, high surface area, and rich hydroxyl/carboxyl sites. Spectroscopic analysis and DFT calculations indicated a strong coordination between Ge(IV) and hydroxyl groups on 2,5-dihydroxyterephthalic acid, enabling efficient Ge capture. At pH 10, it achieved a 253.87 mg/g capacity at room temperature. Kinetics followed a pseudo-n-order model, and isotherms fit the Langmuir model, suggesting chemisorption-driven monolayer adsorption. Robust Zr-O clusters ensured stability across multiple cycles. These findings position UiO-66–2OH as a promising adsorbent for sustainable Ge recovery from complex solutions.
{"title":"Efficient Ge(IV) CAPTURE by hydroxyl-functionalized Zr-MOF via inner-sphere complexation","authors":"Xinni Tang , Manying Zhu , Yihui Wu , Jiaxin Luo , Xinrui Yang , Shixing Wang , Libo Zhang","doi":"10.1016/j.jtice.2025.106587","DOIUrl":"10.1016/j.jtice.2025.106587","url":null,"abstract":"<div><h3>Background</h3><div>Germanium (Ge) is a rare strategic element, with its content in industrial wastewater far exceeding the Earth's crustal average, necessitating efficient recovery.</div></div><div><h3>Methods</h3><div>This study synthesized a zirconium-based metal-organic framework (UiO-66–2OH) with hydroxyl groups via solvothermal method using 2,5-dihydroxyterephthalic acid as a linker. Characterization by SEM, EDS, XRD, FT-IR, BET, and XPS confirmed high crystallinity and abundant oxygen-containing groups. Batch adsorption experiments assessed performance.</div></div><div><h3>Significant Findings</h3><div>UiO-66–2OH showed excellent adsorption capacity and selectivity under alkaline conditions, due to its porous structure, high surface area, and rich hydroxyl/carboxyl sites. Spectroscopic analysis and DFT calculations indicated a strong coordination between Ge(IV) and hydroxyl groups on 2,5-dihydroxyterephthalic acid, enabling efficient Ge capture. At pH 10, it achieved a 253.87 mg/g capacity at room temperature. Kinetics followed a pseudo-n-order model, and isotherms fit the Langmuir model, suggesting chemisorption-driven monolayer adsorption. Robust Zr-O clusters ensured stability across multiple cycles. These findings position UiO-66–2OH as a promising adsorbent for sustainable Ge recovery from complex solutions.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"182 ","pages":"Article 106587"},"PeriodicalIF":6.3,"publicationDate":"2025-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788249","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}
Pub Date : 2025-12-15DOI: 10.1016/j.jtice.2025.106578
M. Sheikholeslami , Q.M.A. Mustafa
<div><h3>Background</h3><div>This work presents a detailed numerical investigation of a photovoltaic–thermal (PVT) unit enhanced with a passive cooling strategy that incorporates phase-change materials (PCMs). The system uses paraffin RT-35HC as its primary PCM to moderate temperature fluctuations in the PV panel.</div></div><div><h3>Methods</h3><div>To substantially boost both thermal and electrical efficiencies, three complementary strategies were implemented: dispersing Al₂O₃ nanoparticles into PCM to create a nano-enhanced PCM (NEPCM), incorporating sinusoidal metallic fins, and embedding copper foam to enhance heat conduction. Four distinct system configurations were analyzed: (1) a baseline model with plain PCM, (2) PCM integrated with rectangular fins, (3) PCM with sinusoidal fins, and (4) an advanced hybrid design combining NEPCM, sinusoidal fins, and porous foam. To ensure accuracy, the numerical model was validated using two separate experimental benchmarks—one assessing melting behavior in finned enclosures, and the other evaluating a PV panel's thermal response under actual solar exposure. Simulations were conducted under realistic environmental conditions using weather and solar data from Delhi. Unsteady, two-dimensional numerical simulations were carried out in ANSYS FLUENT, incorporating variations in solar radiation over time. Periodic boundary conditions were applied to the sidewalls to replicate continuous PV panel arrays.</div></div><div><h3>Significant findings</h3><div>The findings strongly confirm the effectiveness of the integrated cooling methods. At 13:00, the integrated cooling configuration resulted in a 3.11% decrement in the module temperature, resulting in a notable boost in electrical output. Additionally, the liquid fraction (LF) rose significantly—by nearly 114.56%—due to enhanced thermal response in the improved system. The integration of NEPCM, porous foam, and sinusoidal fins enabled both rapid and delayed cooling effects, effectively lowering peak temperatures and ensuring stable system operation throughout the day. Electrical efficiency (η<sub>el</sub>) improvements of 2.62%, 5.02%, and 3.35% were recorded at 10:00, 13:00, and 16:00, respectively. The top-performing configuration at 13:00 achieved a 15.43% increase in η<sub>el</sub> relative to a panel operating without any cooling. The setup also demonstrated superior thermal inertia, maintaining higher thermal efficiency during the late-day cooling period, with a 53.6% improvement at 13:00. Overall system efficiency peaked at 98.36% in the enhanced case versus 66.47% in the base case—an increase of around 47.1%. In terms of environmental impact, the best system achieved a 9.71% improvement in CO₂ emission reduction over the uncooled panel, with total mitigation reaching 447.28 tons. Based on the economic assessment, the system yields a total profit of approximately $3,315.78 after 20 years of operation. These outcomes highlight the potential of integrating
{"title":"Realistic weather-based enhancement of PV cells using nanoparticle-enhanced paraffin, metal foam, and sinusoidal fins","authors":"M. Sheikholeslami , Q.M.A. Mustafa","doi":"10.1016/j.jtice.2025.106578","DOIUrl":"10.1016/j.jtice.2025.106578","url":null,"abstract":"<div><h3>Background</h3><div>This work presents a detailed numerical investigation of a photovoltaic–thermal (PVT) unit enhanced with a passive cooling strategy that incorporates phase-change materials (PCMs). The system uses paraffin RT-35HC as its primary PCM to moderate temperature fluctuations in the PV panel.</div></div><div><h3>Methods</h3><div>To substantially boost both thermal and electrical efficiencies, three complementary strategies were implemented: dispersing Al₂O₃ nanoparticles into PCM to create a nano-enhanced PCM (NEPCM), incorporating sinusoidal metallic fins, and embedding copper foam to enhance heat conduction. Four distinct system configurations were analyzed: (1) a baseline model with plain PCM, (2) PCM integrated with rectangular fins, (3) PCM with sinusoidal fins, and (4) an advanced hybrid design combining NEPCM, sinusoidal fins, and porous foam. To ensure accuracy, the numerical model was validated using two separate experimental benchmarks—one assessing melting behavior in finned enclosures, and the other evaluating a PV panel's thermal response under actual solar exposure. Simulations were conducted under realistic environmental conditions using weather and solar data from Delhi. Unsteady, two-dimensional numerical simulations were carried out in ANSYS FLUENT, incorporating variations in solar radiation over time. Periodic boundary conditions were applied to the sidewalls to replicate continuous PV panel arrays.</div></div><div><h3>Significant findings</h3><div>The findings strongly confirm the effectiveness of the integrated cooling methods. At 13:00, the integrated cooling configuration resulted in a 3.11% decrement in the module temperature, resulting in a notable boost in electrical output. Additionally, the liquid fraction (LF) rose significantly—by nearly 114.56%—due to enhanced thermal response in the improved system. The integration of NEPCM, porous foam, and sinusoidal fins enabled both rapid and delayed cooling effects, effectively lowering peak temperatures and ensuring stable system operation throughout the day. Electrical efficiency (η<sub>el</sub>) improvements of 2.62%, 5.02%, and 3.35% were recorded at 10:00, 13:00, and 16:00, respectively. The top-performing configuration at 13:00 achieved a 15.43% increase in η<sub>el</sub> relative to a panel operating without any cooling. The setup also demonstrated superior thermal inertia, maintaining higher thermal efficiency during the late-day cooling period, with a 53.6% improvement at 13:00. Overall system efficiency peaked at 98.36% in the enhanced case versus 66.47% in the base case—an increase of around 47.1%. In terms of environmental impact, the best system achieved a 9.71% improvement in CO₂ emission reduction over the uncooled panel, with total mitigation reaching 447.28 tons. Based on the economic assessment, the system yields a total profit of approximately $3,315.78 after 20 years of operation. These outcomes highlight the potential of integrating ","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"182 ","pages":"Article 106578"},"PeriodicalIF":6.3,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788191","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}
Pub Date : 2025-12-15DOI: 10.1016/j.jtice.2025.106585
Jingwen Yin , Yue Wang , Tingting Ma
Background
Diabetes mellitus is a chronic metabolic disorder characterized by sustained hyperglycemia, currently affecting over 537 million individuals worldwide. As global prevalence continues to rise, the demand for accurate, real-time, and non-invasive glucose monitoring tools has become increasingly urgent.
Methods
A highly sensitive and non-invasive electrochemical glucose sensor was developed using a ternary hybrid composite of Shrimp Shell-Derived Carbon (SBC), MoS₂, and NiCo₂O₄ modified on a glassy carbon electrode (GCE). The composite integrates the high conductivity of SBC, the catalytic edge sites of MoS₂, and the redox activity of spinel NiCo₂O₄, enabling a synergistic interface for efficient glucose oxidation in alkaline media.
Significant Findings
The sensor exhibited a wide linear detection range across two intervals: from 0.3 μM to 0.212 mM and from 0.212 to 6.212 mM, with a low detection limit of 157 nM and a remarkably high sensitivity of 932.2 μA·mM⁻¹·cm⁻² in the lower concentration range. Excellent selectivity toward glucose over common interfering species, stable repeatability, and >91 % signal retention over 10 days were also achieved. Notably, real-time salivary glucose monitoring demonstrated a strong correlation with commercial glucometers, capturing postprandial dynamics and validating its non-invasive diagnostic potential. This work provides a robust strategy for constructing next-generation wearable glucose sensors via rational nanomaterial integration.
{"title":"Biochar-driven ternary hybrid of MoS2 and NiCo2O4 for high-sensitivity, non-invasive glucose sensing via salivary electroanalysis","authors":"Jingwen Yin , Yue Wang , Tingting Ma","doi":"10.1016/j.jtice.2025.106585","DOIUrl":"10.1016/j.jtice.2025.106585","url":null,"abstract":"<div><h3>Background</h3><div>Diabetes mellitus is a chronic metabolic disorder characterized by sustained hyperglycemia, currently affecting over 537 million individuals worldwide. As global prevalence continues to rise, the demand for accurate, real-time, and non-invasive glucose monitoring tools has become increasingly urgent.</div></div><div><h3>Methods</h3><div>A highly sensitive and non-invasive electrochemical glucose sensor was developed using a ternary hybrid composite of Shrimp Shell-Derived Carbon (SBC), MoS₂, and NiCo₂O₄ modified on a glassy carbon electrode (GCE). The composite integrates the high conductivity of SBC, the catalytic edge sites of MoS₂, and the redox activity of spinel NiCo₂O₄, enabling a synergistic interface for efficient glucose oxidation in alkaline media.</div></div><div><h3>Significant Findings</h3><div>The sensor exhibited a wide linear detection range across two intervals: from 0.3 μM to 0.212 mM and from 0.212 to 6.212 mM, with a low detection limit of 157 nM and a remarkably high sensitivity of 932.2 μA·mM⁻¹·cm⁻² in the lower concentration range. Excellent selectivity toward glucose over common interfering species, stable repeatability, and >91 % signal retention over 10 days were also achieved. Notably, real-time salivary glucose monitoring demonstrated a strong correlation with commercial glucometers, capturing postprandial dynamics and validating its non-invasive diagnostic potential. This work provides a robust strategy for constructing next-generation wearable glucose sensors via rational nanomaterial integration.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"182 ","pages":"Article 106585"},"PeriodicalIF":6.3,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788174","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}
Pub Date : 2025-12-13DOI: 10.1016/j.jtice.2025.106562
Chih-Yu Yang , Tzu-Hsuan Yang , Su-Yuan Lai , Chen-Hao Lin , Hou-Chien Chang , Min-Ying Wang
Background
Diatoms are microalgae with both ecological and economic value, holding great potential for the production of high-value biomolecules. To improve cultivation efficiency, investigating growth kinetics under different nutrient concentrations is of practical importance.
Methods
In this study, Navicula lanceolata was cultivated in 500 mL batch mode under four different medium concentrations (0.5f, 2.5f, 5f, and 10f). Growth curves were fitted using the Logistic and Gompertz models for comparison. Subsequently, a bivariate Gompertz model incorporating both time and medium concentration was developed.
Significant findings
The Gompertz model exhibited strong fitting performance under all tested conditions ( > 0.96). The novel bivariate model also demonstrated high predictive accuracy ( = 0.97), effectively capturing changes in cell density across varying conditions. The results revealed a trade-off between biomass yield and cultivation time, providing theoretical support and economic guidance for large-scale diatom cultivation.
{"title":"A bivariate Gompertz model quantifies the growth kinetics of Navicula lanceolata","authors":"Chih-Yu Yang , Tzu-Hsuan Yang , Su-Yuan Lai , Chen-Hao Lin , Hou-Chien Chang , Min-Ying Wang","doi":"10.1016/j.jtice.2025.106562","DOIUrl":"10.1016/j.jtice.2025.106562","url":null,"abstract":"<div><h3>Background</h3><div>Diatoms are microalgae with both ecological and economic value, holding great potential for the production of high-value biomolecules. To improve cultivation efficiency, investigating growth kinetics under different nutrient concentrations is of practical importance.</div></div><div><h3>Methods</h3><div>In this study, <em>Navicula lanceolata</em> was cultivated in 500 mL batch mode under four different medium concentrations (0.5f, 2.5f, 5f, and 10f). Growth curves were fitted using the Logistic and Gompertz models for comparison. Subsequently, a bivariate Gompertz model incorporating both time and medium concentration was developed.</div></div><div><h3>Significant findings</h3><div>The Gompertz model exhibited strong fitting performance under all tested conditions (<span><math><msubsup><mi>R</mi><mrow><mi>a</mi><mi>d</mi><mi>j</mi></mrow><mn>2</mn></msubsup></math></span> > 0.96). The novel bivariate model also demonstrated high predictive accuracy (<span><math><msubsup><mi>R</mi><mrow><mi>a</mi><mi>d</mi><mi>j</mi></mrow><mn>2</mn></msubsup></math></span> = 0.97), effectively capturing changes in cell density across varying conditions. The results revealed a trade-off between biomass yield and cultivation time, providing theoretical support and economic guidance for large-scale diatom cultivation.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"182 ","pages":"Article 106562"},"PeriodicalIF":6.3,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145788190","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}
Pub Date : 2025-12-13DOI: 10.1016/j.jtice.2025.106580
Xiuchan Xiao , Qiuyu Jin , Xiangyuan Zhao , Yongfeng Chen , Huamei He , Qiangbin Yang , Guangyong Zeng
Background
Water pollution has become a significant challenge in contemporary society, posing serious threats to public health and environmental safety. Industrial waste, which contains various small-molecule organic pollutants such as antibiotics and synthetic dyes, is the primary contributor to this issue. Integrating photocatalysis with membrane separation enables photocatalytic membranes to concurrently remove micropollutants through separation and catalytic degradation. However, the dispersion and compatibility of the photocatalyst within the membrane matrix, as well as the structural variability between the photocatalyst and the co-catalyst, may compromise the overall stability and durability of the composite membranes.
Methods
To overcome these challenges, this study introduced a novel approach for the preparation of photocatalytic mixed matrix membranes through a coagulation bath modulation strategy. The chemical compatibility between the nanomaterials and the membrane substrate was effectively modulated, and the interfacial interaction was enhanced by incorporating MXene (Ti3C2Tx) nanosheets into the polyvinylidene fluoride (PVDF) casting solution, as well as by introducing polyacrylic acid (PAA) and the photocatalyst graphitic carbon nitride (g-C3N4) into the coagulation bath.
Significant Findings
The experimental results indicated that the optimal concentration of g-C3N4 was 0.5 g/L, achieving photocatalytic degradation efficiencies of 90.9% for rhodamine B (Rh B) and 86.9% for tetracycline hydrochloride (TCH), with a corresponding membrane permeability of 44.71 L·m−2·h−1·bar−1. This study substantially enhanced the membrane's capacity to remove small soluble molecules from water, offering a valuable reference for the stable and efficient removal of small molecular organic pollutants.
{"title":"Preparation of photocatalytic mixed matrix membranes via coagulation bath modulation for removal of small-molecule organic pollutants","authors":"Xiuchan Xiao , Qiuyu Jin , Xiangyuan Zhao , Yongfeng Chen , Huamei He , Qiangbin Yang , Guangyong Zeng","doi":"10.1016/j.jtice.2025.106580","DOIUrl":"10.1016/j.jtice.2025.106580","url":null,"abstract":"<div><h3>Background</h3><div>Water pollution has become a significant challenge in contemporary society, posing serious threats to public health and environmental safety. Industrial waste, which contains various small-molecule organic pollutants such as antibiotics and synthetic dyes, is the primary contributor to this issue. Integrating photocatalysis with membrane separation enables photocatalytic membranes to concurrently remove micropollutants through separation and catalytic degradation. However, the dispersion and compatibility of the photocatalyst within the membrane matrix, as well as the structural variability between the photocatalyst and the co-catalyst, may compromise the overall stability and durability of the composite membranes.</div></div><div><h3>Methods</h3><div>To overcome these challenges, this study introduced a novel approach for the preparation of photocatalytic mixed matrix membranes through a coagulation bath modulation strategy. The chemical compatibility between the nanomaterials and the membrane substrate was effectively modulated, and the interfacial interaction was enhanced by incorporating MXene (Ti<sub>3</sub>C<sub>2</sub>T<sub>x</sub>) nanosheets into the polyvinylidene fluoride (PVDF) casting solution, as well as by introducing polyacrylic acid (PAA) and the photocatalyst graphitic carbon nitride (g-C<sub>3</sub>N<sub>4</sub>) into the coagulation bath.</div></div><div><h3>Significant Findings</h3><div>The experimental results indicated that the optimal concentration of g-C<sub>3</sub>N<sub>4</sub> was 0.5 g/L, achieving photocatalytic degradation efficiencies of 90.9% for rhodamine B (Rh B) and 86.9% for tetracycline hydrochloride (TCH), with a corresponding membrane permeability of 44.71 L<strong>·</strong>m<sup>−2</sup><strong>·</strong>h<sup>−1</sup><strong>·</strong>bar<sup>−1</sup>. This study substantially enhanced the membrane's capacity to remove small soluble molecules from water, offering a valuable reference for the stable and efficient removal of small molecular organic pollutants.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"182 ","pages":"Article 106580"},"PeriodicalIF":6.3,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145735967","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}
Pub Date : 2025-12-13DOI: 10.1016/j.jtice.2025.106581
Jianji Zhao , Xiangyu Zhang , Xiaoqiang Wang , Deyi Ou , Kecheng Huang , Chenglan Liu
Background
Engineered waste-derived biochar can simultaneously remediate polluted aquatic and soil environments, but a comprehensive and mechanistic assessment of efficacy is required, particularly concerning emerging herbicide residues in complex agricultural environments.
Methods
We engineered four types of biochar derived from different waste, including tobacco straw (TBC), rice husk (RBC), cattle feces (FBC), and cattle bone (BBC), and evaluated their potential as a multifunctional strategy for regulating herbicide flumetsulam (FLM) adsorption, degradation, and microbial interaction mechanisms.
Significant findings
The adsorption capacity of these biochars for FLM followed the order: RBC > BBC > TBC > FBC. Among them, RBC demonstrated a high specific surface area (611.24 m²/g) and the largest sorption quantity (39.39 mg/g). This remarkable performance benefited from the surface adsorption and hydrophobic distribution, primarily controlled by the pore filling, hydrogen bonding, π-π stacking, and hydrophobic interaction. Notably, both RBC and FBC accelerated the degradation of FLM in soil, with degradation rate constants increasing by 138.6-213.1% and 22.2-58.5%, respectively. 16S rRNA sequencing revealed feedstock-specific microbiome remodeling, enriching keystone taxa linked to FLM degradation, including Ellin6067 (RBC) and Lysobacter (FBC). Moreover, two degradation products of FLM were identified by a Q Exactive combined quadrupole-Orbitrap mass spectrometer (Q-TOF), and toxicity tests showed that the toxicity of the degradation intermediates was reduced. Overall, this work provides new insights for using agricultural waste to produce low-cost remediation materials with high adsorption capacity and enhanced biodegradation efficiency, positioning them as highly effective in reducing the risk of herbicide residues in agricultural environments.
{"title":"Synergistic adsorption and degradation of flumetsulam residue by agricultural waste-derived biochar: Performance and mechanism","authors":"Jianji Zhao , Xiangyu Zhang , Xiaoqiang Wang , Deyi Ou , Kecheng Huang , Chenglan Liu","doi":"10.1016/j.jtice.2025.106581","DOIUrl":"10.1016/j.jtice.2025.106581","url":null,"abstract":"<div><h3>Background</h3><div>Engineered waste-derived biochar can simultaneously remediate polluted aquatic and soil environments, but a comprehensive and mechanistic assessment of efficacy is required, particularly concerning emerging herbicide residues in complex agricultural environments.</div></div><div><h3>Methods</h3><div>We engineered four types of biochar derived from different waste, including tobacco straw (TBC), rice husk (RBC), cattle feces (FBC), and cattle bone (BBC), and evaluated their potential as a multifunctional strategy for regulating herbicide flumetsulam (FLM) adsorption, degradation, and microbial interaction mechanisms.</div></div><div><h3>Significant findings</h3><div>The adsorption capacity of these biochars for FLM followed the order: RBC > BBC > TBC > FBC. Among them, RBC demonstrated a high specific surface area (611.24 m²/g) and the largest sorption quantity (39.39 mg/g). This remarkable performance benefited from the surface adsorption and hydrophobic distribution, primarily controlled by the pore filling, hydrogen bonding, π-π stacking, and hydrophobic interaction. Notably, both RBC and FBC accelerated the degradation of FLM in soil, with degradation rate constants increasing by 138.6-213.1% and 22.2-58.5%, respectively. 16S rRNA sequencing revealed feedstock-specific microbiome remodeling, enriching keystone taxa linked to FLM degradation, including <em>Ellin6067</em> (RBC) and <em>Lysobacter</em> (FBC). Moreover, two degradation products of FLM were identified by a Q Exactive combined quadrupole-Orbitrap mass spectrometer (Q-TOF), and toxicity tests showed that the toxicity of the degradation intermediates was reduced. Overall, this work provides new insights for using agricultural waste to produce low-cost remediation materials with high adsorption capacity and enhanced biodegradation efficiency, positioning them as highly effective in reducing the risk of herbicide residues in agricultural environments.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"182 ","pages":"Article 106581"},"PeriodicalIF":6.3,"publicationDate":"2025-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145735966","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}
Pub Date : 2025-12-12DOI: 10.1016/j.jtice.2025.106577
Chunmao Pan , Lingxing Hu , Facheng Qiu , Zhiliang Cheng , Zhongjun Li , Lanfeng Guo
Background
The time cost of simulating the gas-liquid complex computational fluid dynamics (CFD) in a jet impact-negative pressure reactor (JI-NPR) to a stable state is relatively significant. To address these issues, this study proposes a CFD coupled with machine learning (ML) approach for accelerated prediction.
Methods
A multi-scale dataset was firstly generated via CFD simulations. Then, the outlet volume fraction data were preprocessed using a simple averaging method for condensation and validated for reliability. Finally, a Bayesian-optimized CNN-LSTM model was employed for spatiotemporal forecast, utilizing rolling prediction for multi-step forecasting.
Significant Findings
The Bayesian-optimized CNN-LSTM model achieved high prediction accuracy, with an RMSE as low as 0.0078 for the velocity field. The computational precision of this optimization framework has improved by an order of magnitude compared to traditional CFD. This framework effectively combines significant-fidelity simulation with rapid iteration, as well as can offer a generalized paradigm for CFD-ML integration in complex chemical processes.
{"title":"Theory and construction of machine learning-driven CFD agent model: a bayesian-optimized CNN-LSTM framework","authors":"Chunmao Pan , Lingxing Hu , Facheng Qiu , Zhiliang Cheng , Zhongjun Li , Lanfeng Guo","doi":"10.1016/j.jtice.2025.106577","DOIUrl":"10.1016/j.jtice.2025.106577","url":null,"abstract":"<div><h3>Background</h3><div>The time cost of simulating the gas-liquid complex computational fluid dynamics (CFD) in a jet impact-negative pressure reactor (JI-NPR) to a stable state is relatively significant. To address these issues, this study proposes a CFD coupled with machine learning (ML) approach for accelerated prediction.</div></div><div><h3>Methods</h3><div>A multi-scale dataset was firstly generated via CFD simulations. Then, the outlet volume fraction data were preprocessed using a simple averaging method for condensation and validated for reliability. Finally, a Bayesian-optimized CNN-LSTM model was employed for spatiotemporal forecast, utilizing rolling prediction for multi-step forecasting.</div></div><div><h3>Significant Findings</h3><div>The Bayesian-optimized CNN-LSTM model achieved high prediction accuracy, with an RMSE as low as 0.0078 for the velocity field. The computational precision of this optimization framework has improved by an order of magnitude compared to traditional CFD. This framework effectively combines significant-fidelity simulation with rapid iteration, as well as can offer a generalized paradigm for CFD-ML integration in complex chemical processes.</div></div>","PeriodicalId":381,"journal":{"name":"Journal of the Taiwan Institute of Chemical Engineers","volume":"182 ","pages":"Article 106577"},"PeriodicalIF":6.3,"publicationDate":"2025-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145735496","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}
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