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Sustainable flower-like Cu-Ni metal-organic frameworks catalyst for enhanced electrochemical sensing and photocatalytic degradation of antibiotic pollutants

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Microchemical Journal 2025年 214卷

作者： N.S.K. Gowthaman Ameer Farithkhan E. Narayanamoorthi Ponnusamy Arul Chinnathambi Nandhini Vellaichamy Balakumar S. Selvarajan School of Engineering Monash University Bandar Sunway Selangor 47500 Malaysia Center for Advanced Energy Materials SRM TRP Engineering College Tiruchirapalli 621 105 Tamil Nadu India Center for Research Easwari Engineering College Chennai 600 089 Tamil Nadu India School of Materials Science and Engineering Pusan National University Busan 46241 Republic of Korea International PhD Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City 243303 Taiwan Institute of Biochemical and Biomedical Engineering Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei 106 Taiwan Department of Materials Engineering Ming Chi University of Technology New Taipei City 24303 Taiwan Department of Chemistry Sri Ramakrishna College of Arts & Science Coimbatore 641 006 Tamil Nadu India Department of Chemistry Theni Kammavar Sangam College of Arts & Science Theni 625 531 Tamil Nadu India

Massive usage of antibiotics harms the environment through animals’ excrement and squeezes open-wellbeing issues. Enrofloxacin (EF), an antimicrobial agent, treats bacterial diseases and infections in cattle, poultry and exotic animals and exhibits harmful side effects. The present work proposed a sensitive and rapid electrochemical scaffold based on the Cu-Ni bimetallic-organic framework (Cu-Ni-MOF) for the detection of harmful EF in real-time applications. The Cu-Ni-MOF was synthesized through solvothermal approach with the support of a multifunctional organic ligand, 4,4-biphenyldicarboxylicacid and characterized through various analytical tools. The electrochemical sensor for EF detection was constructed by drop-casting the Cu-Ni-MOF on a glassy carbon electrode and the fabricated sensor exhibited higher catalytic activity when compared to the parental counterparts by exhibiting 1.7-fold higher current for EF oxidation. Further, the fabricated sensor is highly active in the linear range response of 200 nM–2 mM with a limit of detection of 15.17 nM and sensitivity of 638.71 µA mM cm −2 under optimized environments. The higher electrocatalytic activity of the Cu-Ni-MOF electrode synergistically stems from the strong interaction between Cu 2+ of the MOF and pyridone and carboxylate moieties of the EF and facile electron transition facilitated by Ni 2+ . The practicability of the sensor was evaluated in milk, egg and river water samples and the obtained results were validated with Liquid Chromatography-Mass Spectrometric technique. Furthermore, the prepared catalyst was utilized for the photochemical decontamination of EF and the present Cu-Ni-MOF catalyst delivered excellent photocatalytic activity in the decontamination of EF under visible light at ambient temperature.

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Apoptotic extracellular vesicles restore homeostasis of the articular microenvironment for the treatment of rheumatoid arthritis

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Bioactive Materials 2024年第5期35卷 564-576页

作者： Xian Li Shichun Li Xiaoling Fu Yingjun Wang School of Materials Science and Engineering South China University of TechnologyGuangzhou510641China School of Biomedical Sciences and Engineering South China University of TechnologyGuangzhou International CampusGuangzhou511442China National Engineering Research Center for Tissue Restoration and Reconstruction and Innovation Center for Tissue Restoration and Reconstruction Guangzhou510006China Key Laboratory of Biomedical Engineering of Guangdong Province South China University of TechnologyGuangzhou510006China NMPA Key Laboratory for Research and Evaluation of Innovative Biomaterials for Medical Devices Guangzhou510700China

Rheumatoid arthritis(RA)is a severe autoimmune disease with symptoms including synovial inflammation,cartilage erosion,and bone loss in RA lesions,which eventually lead to joint deformity and function *** current treatments fail to achieve satisfying therapeutic outcomes with some adverse *** vesicles derived from apoptotic cells(apoEVs)have emerged as important mediators in intercellular communication regulating diverse physiological and pathological *** this study,we investigated the therapeutic efficacy of macrophage-derived and osteoclast-derived apoEVs(Mφ-apoEVs and OC-apoEVs)on *** in vitro results showed that both Mφ-apoEVs and OC-apoEVs induced macrophage repolarization toward the anti-inflammatory M2 phenotype,promoted chondrocyte functions and chondrogenesis,and inhibited osteoclast formation and *** addition,OC-apoEVs promoted osteogenic *** in vivo study on the CIA mouse model further demonstrated that apoEVs could couple various functions and exert synergistic effects on the joint with RA,as evidenced by the regression of synovial inflammation,the reversal of cartilage damage and bone erosion,and the preservation of joint *** findings demonstrated that Mφ-apoEVs and OC-apoEVs contributed to restoring the homeostasis of the overall microenvironment in the RA joint and highlighted their potential application as a promising alternative to treat RA.

关键词： Apoptotic extracellular vesicles Microenvironment homeostasis Rheumatoid arthritis

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3D Brain Tumor Segmentation in Multimodal MRI Images

3D Brain Tumor Segmentation in Multimodal MRI Images

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IEEE international Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Nisar Ahmad Yao-Tien Chen International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City Taiwan

ISBN: (数字)9798350386844

ISBN: (纸本)9798350386851

In brain tumor research, the use of machine learning based methods using MRI data to locate brain tumors accurately has significantly increased and new techniques are proposed to facilitate the medical experts. There is still room for improvement as tumors have complex anatomy which requires efforts to explore further and propose new deep learning based solutions. In this research, we propose 3D UNet based multimodal brain tumor segmentation for Non Enhancing Tumor (NET), Peritumoral Edema (PE), and Enhancing Tumor (ET). Data preprocessing and augmentation techniques are employed to optimise the model's performance. The dataset used in this study to train, validate, and test the model performance is the BraTS 2020 dataset. The model achieved improved accuracy and IoU after implementing the mentioned techniques. Results before and after data augmentation demonstrate a significant enhancement in model performance. The model achieved an improved mIoU of 0.77 and accuracies of 98.21% and 99.36% for actual data and augmented data for three brain tumor classes, i.e., NET, PE, and ET. Our model performed multiclass brain tumor segmentation with high accuracies, and we aim to enhance this study to propose a valuable medical assistance model.

关键词： Solid modeling Image segmentation Three-dimensional displays Accuracy Magnetic resonance imaging Brain modeling Data augmentation

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UNet-based Automatic Multicalss Brain Tissue Segmentation

UNet-based Automatic Multicalss Brain Tissue Segmentation

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IEEE international Conference on Consumer Electronics-Taiwan (ICCE-TW)

作者： Nisar Ahmad Yao-Tien Chen International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City Taiwan

In brain research, brain tissue segmentation techniques have offered vast aid and possibilities for quantitative analysis of the brain to detect brain tumor and other brain issues. In this paper, UNet-based multiclass brain tissue segmentation is presented. To achieve the best performance of the model, data augmentation techniques are applied. The training, validation and testing of the model is performed on the BrainWeb dataset. The model has achieved improved accuracy and IoU after data augmentation. Both pre and post data augmentation results are presented which show clear improvement in model performance after data augmentation. The achieved IoU for white matter, gray matter and cerebrospinal fluid are 0.84, 0.95 and 0.92, respectively. Our model accurately performed the multiclass brain tissue segmentation and this study proposes a valuable medical aid model.

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Enhanced Deep Learning Model Performance in 3D Multimodal Brain Tumor Segmentation with Gabor Filter

Enhanced Deep Learning Model Performance in 3D Multimodal Br...

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international Conference on Applied System Innovation (ICASI)

作者： Nisar Ahmad Yao-Tien Chen International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City Taiwan

ISBN: (数字)9798350394924

ISBN: (纸本)9798350394931

medical image segmentation plays a crucial role in identifying and analyzing anatomical structures in medical images. This requires an accurate medical segmentation tool to delineate and quantitatively analyze the target regions, diagnose any abnormality, and assist in treatment planning. Deep learning approaches have emerged as a promising solution for automating medical segmentation. However, challenges arise when dealing with the complex shapes and spatial variations of some target regions, especially in 3D MRI scans. To deal with such transformations, specific techniques are required to properly analyze and preprocess the dataset and perform image filtering to provide better features for improved prediction performance of deep learning architectures. This study focuses on improving brain tumor segmentation in multimodal 3D MRI images. We observed significant improvements in multimodal brain tumor segmentation results (accuracy, IoU, and mIoU) using an optimized 3D Gabor filter, which helps extract meaningful features. Multichannel input images were preprocessed to remove noise and select an appropriate resolution to reduce computational complexity. An improvement in mean Intersection over Union (mIoU) from 0.714 to 0.804 and accuracy from 0.982 to 0.991 were achieved, which shows a major improvement. This work contributes to the field of medical image segmentation by offering an improved and efficient approach for brain tumor analysis in 3D MRI scans, potentially aiding in diagnosis and treatment planning.

关键词： Deep learning Image segmentation Solid modeling Three-dimensional displays Magnetic resonance imaging Feature extraction Planning

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High-Performance Nitrogen Selectivity through Selective Nitrate Reduction on Nickel-Supported Copper Foam Architectures

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Process Safety and Environmental Protection 2025年

作者： Thi Nhat-Tuyen Nguyen Kiruthika Mariappan Jih-Hsing Chang Tsin-Hai Wang Subramanian Sakthinathan Chao-Lin Liu Ching-Lung Chen International Ph.D. Program in Innovative Technology of Biomedical Engineering and Medical Devices Ming Chi University of Technology New Taipei City 243303 Taiwan Department of Safety Health and Environmental Engineering Ming Chi University of Technology New Taipei City 243303 Taiwan Department of Environmental Engineering and Management Chaoyang University of Technology Taichung 413310 Taiwan Department of Chemical Engineering and Materials Science Yuan Ze University Zhongli 32003 Taiwan Department of Materials and Mineral Resources Engineering National Taipei University of Technology No.1 Section 3 Chung-Hsiao East Road Taipei 106 Taiwan Department of Chemical Engineering Ming Chi University of Technology New Taipei City 243303 Taiwan R&D Center of Biochemical Engineering Technology Ming Chi University of Technology New Taipei City 243303 Taiwan Center for Environmental Sustainability and Human Health Ming Chi University of Technology New Taipei City 243303 Taiwan Center for Sustainability and Energy Technologies Chang Gung University Taoyuan 33302 Taiwan

In this study, Nickel@Copper (Ni@Cu) bimetallic electrodes were fabricated via electrodeposition to assess their efficacy in electrochemical nitrate reduction (ENR). The Ni@Cu 3m electrodes achieved a remarkable nitrate (NO 3 − ) reduction efficiency of 96.09% and nitrogen selectivity of 96.08% at a current density of 1.36 mA/cm² over an 8-hour reaction period. Extensive characterization techniques, including TEM, XPS, and XRD, were employed to analyze the structural and morphological features of the electrodes. Cyclic voltammetry was used to examine electron transfer interactions between surface nitrogen (N 2 ) species and copper foam electrodes, nitrate (NO 3 − ) reduction commenced within a potential range of −0.8 V to 0.1 V. The Ni loading on copper foam was optimized to enhance catalytic performance, and the effect of different pH levels on activity was systematically studied. The Ni@Cu 3m electrodes demonstrated excellent long-term stability over 10 cycles, maintaining high efficiency and selectivity over multiple cycles. These results highlight the strong potential of bimetallic electrodes as efficient and reliable candidates for NO 3 − reduction in wastewater treatment applications.

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Corrigendum to “Metal ratio and bimetal nanoarchitectonics of ammonia-based fluoride complex induced nickel hydroxide and manganese oxide composites as active materials of an energy storage device” [J. Energy Storage 80 (2024) 110316]

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Journal of Energy Storage 2025年 108卷

作者： Chuan-Chih Hsu You Zher Yu Chung-Hsien Wu Pin-Yan Lee Hung-Ming Chen Sadang Husain Chutima Kongvarhodom Yu-Cheng Hsiao Lu-Yin Lin Division of Cardiovascular Surgery Department of Surgery School of Medicine College of Medicine Taipei Medical University Taiwan Division of Cardiovascular Surgery Department of Surgery Taipei Medical University Hospital Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei Taiwan Gingen Technology Co. LTD. Rm. 7 10F. No.189 Sec. 2 Keelung Rd. Xinyi Dist. Taipei 11054 Taiwan Department of Physics Faculty of Mathematics and Natural Science Lambung Mangkurat University Banjarmasin 70124 Indonesia Department of Chemical Engineering King Mongkut's University of Technology Thonburi 126 Pracha-u-thit Toong-kru Bangkok 10140 Thailand Cell Physiology and Molecular Image Research Center Wan Fang Hospital Taipei Medical University Taipei 11696 Taiwan International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei 11031 Taiwan Stanford Byers Center for Biodesign Stanford University CA 94305-5428 USA Graduate Institute of Biomedical Optomechatronics College of Biomedical Engineering Taipei Medical University Taipei 11031 Taiwan

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Enhanced light-driven photoelectrochemical catalysis of water splitting by TiO2 nanotubes grown on acid-etched titanium foils

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international Journal of Hydrogen Energy 2024年第PartA期51卷 1483-1493页

作者： Hsiao, Yu-Cheng Lai, Jhih-Hong Fan, Yu-Min Chen, Hung-Ming Yougbaré, Sibidou Saukani, Muhammad Chen, Chih-Yu Wu, Yung-Fu Lin, Lu-Yin International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Stanford Byers Center for Biodesign Stanford University CA94305-5428 United States Graduate Institute of Biomedical Optomechatronics College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei Taiwan Department of Chemical Engineering Ming Chi University of Technology New Taipei City24301 Taiwan Gingen Technology Co. LTD. Rm. 7 10F. No.189 Sec. 2 Keelung Rd. Xinyi Dist. Taipei11054 Taiwan /Nanoro 03 B.P 7192 Ouagadougou03 Burkina Faso Department of Mechanical Engineering Faculty of Engineering Universitas Islam Kalimantan MAB Jl. Adhyaksa No. 2 Banjarmasin70124 Indonesia Department of Orthopedics Shuang Ho Hospital Taipei Medical University New Taipei City23561 Taiwan International Ph.D. Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Cell Physiology and Molecular Image Research Center Wan Fang Hospital Taipei Medical University Taipei11696 Taiwan

Titanium dioxide with suitable band edges is one of promising photocatalysts for water splitting. Nanotubes with one-dimensional structure can induce efficient charge transfers and hollow centers can provide large surface area for surface reactions. Modifying Ti foils for anodization can enhance light utilization of TiO2 nanotube photoelectrodes. In this work, it is firstly to fabricate TiO2 nanotube photoelectrodes on acid-etched Ti foils by anodization (MNT) for photoelectrochemical catalyzing water splitting. Different acid-etching durations are applied on Ti foils to induce various rugged surfaces. The resulting photoelectrodes present largely enhanced light utilization than that fabricated by the pristine Ti foil. The anodization duration is also optimized to find suitable lengths of MNT. The smallest overpotential of 524.7 mV at 10 mA/cm2 and Tafel slope of 167 mV/dec are obtained for the optimal MNT photoelectrode. The TiO2 nanotubes grown on the pristine Ti foil shows the overpotential of 679.3 mV at 10 mA/cm2 and Tafel slope of 285 mV/dec. This result opens a blueprint for raising the photocatalytic ability by simply modifying the surface property of the conductive substrate. Other modifications may be applicable to enhance the roughness of Ti foils for growing more efficient MNT array as photocatalysis of water splitting. © 2023 Hydrogen Energy Publications LLC

关键词： Titanium dioxide

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Heterojunction and co-catalyst engineering of bismuth vanadate by nickel molybdenum oxide and carbon quantum dot decorations for photoelectrochemical water splitting

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international Journal of Hydrogen Energy 2024年 51卷 1099-1108页

作者： Kuo, Tsung-Rong Chiou, Yu-Tai Huang, Hsiao-Wen Kongvarhodom, Chutima Saukani, Muhammad Yougbaré, Sibidou Chen, Hung-Ming Lin, Lu-Yin Graduate Institute of Nanomedicine and Medical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei Taiwan Department of Chemical Engineering King Mongkut's University of Technology Thonburi 126 Pracha-u-thit Toong-kru Bangkok10140 Thailand Department of Mechanical Engineering Faculty of Engineering Universitas Islam Kalimantan MAB Jl. Adhyaksa No. 2 Banjarmasin70124 Indonesia /Nanoro 03 B.P 7192 Ouagadougou03 Burkina Faso Gingen technology Co. LTD. Rm. 7 10F. No.189 Sec. 2 Keelung Rd. Xinyi Dist. Taipei11054 Taiwan

Improving the charge diffusion length and water oxidation kinetics of bismuth vanadate (BiVO4) is essential to achieve better photoelectrochemical catalytic ability for water oxidation. Establishing heterojunctions and incorporating co-catalysts with BiVO4 create facile charge transfer paths and generate more water oxidation reactions. In this work, nickel molybdenum oxide (NM) and carbon quantum dot (CQD) are firstly deposited on BiVO4 by hydrothermal and soaking processes to design an efficient co-catalyst/photocatalyst system for water oxidation. The depositing amount of CQD is optimized to balance contributions of CQD and NM as the hole sink and the light-to-electron generator, respectively. The highest photocurrent densities of 2.2 and 3.9 mA/cm2 are achieved for BiVO4/NM/CQD in the electrolyte without and with hole scavenger, respectively. The BiVO4 electrode only shows a photocurrent density of 1.2 mA/cm2 in the electrolyte without hole scavenger. The best photoelectrochemical catalytic ability of BiVO4/NM/CQD is approached by the reduced charge-transfer resistance and charge recombination as well as the enhancement on carrier densities. The excellent long-term stability with the photocurrent retention of 90% under illumination for 24 h is also obtained for BiVO4/NM/CQD. This study opens a blueprint on designing efficient catalysts for water oxidation by incorporating heterojunction and co-catalyst materials simultaneously. © 2023 Hydrogen Energy Publications LLC

关键词： Heterojunctions

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Efficiently catalyzing photo-oxidation of water by surface engineering of bismuth vanadate with nickel molybdenum oxide coverages

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international Journal of Hydrogen Energy 2024年 51卷 613-622页

作者： Kuo, Tsung-Rong Huang, Hsiao-Wen Kongvarhodom, Chutima Saukani, Muhammad Yougbaré, Sibidou Chen, Hung-Ming Lin, Lu-Yin International PhD Program in Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Graduate Institute of Nanomedicine and Medical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan Department of Chemical Engineering and Biotechnology National Taipei University of Technology Taipei Taiwan Department of Chemical Engineering King Mongkut's University of Technology Thonburi 126 Pracha-u-thit Toong-kru Bangkok10140 Thailand Department of Mechanical Engineering Faculty of Engineering Universitas Islam Kalimantan MAB Jl. Adhyaksa No. 2 Banjarmasin70124 Indonesia /Nanoro 03 B.P 7192 Ouagadougou 03 Burkina Faso Gingen Technology Co. LTD. Rm. 7 10F. No.189 Sec. 2 Keelung Rd. Xinyi Dist. Taipei11054 Taiwan

Bismuth vanadate with suitable band edges is one of the efficient photocatalysts for water oxidation. Establishing heterojunction can improve electron diffusion lengths and photocatalytic ability of BiVO4. In this work, nickel molybdenum oxide (Ni–Mo–O) and BiVO4 heterojunction is established by the hydrothermal process with different nickel to molybdenum precursor ratios. The Ni–Mo–O/BiVO4 electrode is applied as photoanodes for water oxidation. The growth mechanism of Ni–Mo–O on BiVO4 surface is proposed. The Ni–Mo–O deposition amount is optimized regarding to light absorbance and charger transportation. The largest photocurrent density of 1.72 mA/cm2 at 1.23 VRHE is obtained for the optimal NiMoO4/BiVO4 electrode (NM12) in the electrolyte without hole scavenger, while the pure BiVO4 electrode only shows a photocurrent density of 0.90 mA/cm2. The NM12 electrode even presented an impressive photocurrent density of 5.39 mA/cm2 at 1.23 VRHE in the electrolyte with the hole scavenger, owing to the abundant active sites and higher light absorbance as well as the favorable synergistic effects from its suitable Ni to Mo ratio. The NM12 electrode also shows excellent long-term stability with the photocurrent retention of 83% after illumination for 6500 s. This work opens a blueprint for establishing a novel heterojunction with the adjustable metal ratio and coverage on BiVO4. © 2023 Hydrogen Energy Publications LLC

关键词： Heterojunctions

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