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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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Integrated Numerical Model for Hemodynamic Simulation of Human Atria Under Atrial Fibrillation by Coupling 3D Electrophysiological Activity 9th

Integrated Numerical Model for Hemodynamic Simulation of Hum...

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9th Latin American Congress on biomedical engineering, CLAIB 2022 and 28th Brazilian Congress on biomedical engineering, CBEB 2022

作者： Lameu, João Siles, Jimena G. Sandoval, Italo McInnis, Melissa Salinet, João HEartLab - Biomedical Engineering Federal University of ABC São Bernardo do Campo Brazil Graduate Program in Biotechnoscience Federal University of ABC São Paulo Brazil

ISBN: (纸本)9783031494000

Atrial Fibrillation (AF) is the most common cardiac arrhythmia, increasing the chance of ischemic events five-fold. AF is characterized by fast and abnormal electrical activity, leading to disturbance in atrial contraction, resulting in pro-thrombotic zones due to blood stagnation. Literature shows that hemodynamic modeling using Computational Fluid Dynamics (CFD) has been used to evaluate the hemodynamic outcomes of atria chambers under AF;however, with simplifications related to the electromechanical effects of AF. This study aims to present an integrated analysis by coupling electrophysiological information to a hemodynamic model. A patient undergoing an electrophysiology study was enrolled. Firstly, the patient underwent Magnetic Resonance Imaging (MRI) scan, followed by an electrophysiology study. From MRI images, atrial shell was segmented through a semiautomatic image processing pipeline. Then, multi-electrode catheters were used to acquire electrophysiology signals, allowing determination of local activation times in the 3D atria shell. The 3D mapping provided AF activation patterns used as boundary conditions in the hemodynamic model. The mechanical effects from AF activity were coupled into the blood flow using a momentum method, allowing the local oscillatory wall motion to be mimicked due to the AF activity and its propagation effects through the blood flow. Statistical analysis of fundamental hemodynamic field properties (pressure and wall shear stress, WSS) exhibited a higher dispersion when considering the momentum method. The hemodynamic field presented larger pro-thrombotic zones (WSS ≤ 0.1 Pa) when considering the wall effects of AF activity © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Computational fluid dynamics

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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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Evaluation of Effects of Cyclic Hypoxia on Vascular Permeability Using Microfluidic Device 17

Evaluation of Effects of Cyclic Hypoxia on Vascular Permeabi...

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17th IEEE International Conference on Nano/Molecular Medicine and engineering, NANOMED 2024

作者： Yanagita, Shohei Nikaido, Masataka Funamoto, Kenichi Tohoku University Graduate School of Biomedical Engineering Sendai Japan Tohoku University Institute of Fluid Science Sendai Japan

ISBN: (纸本)9798331516994

Ischemic conditioning reportedly improves tissue tolerance to ischemic injury by affecting vascular function through changes in oxygen concentration. However, the detailed mechanisms and effective procedures have not yet been clarified. In this study, we investigated functional changes in the microvascular network and underlying mechanisms, focusing on the generation of reactive oxygen species (ROS). A microvascular network formed in a microfluidic device was exposed to oxygen concentrations of either 21% or 0.3% O2, as well as cyclic hypoxic condition ranging between 0.3% and 21% O2 at 30-min intervals for 3 h. Vascular permeability after cyclic hypoxic condition decreased significantly compared to those under the two constant oxygen conditions. Moreover, ROS generation fluctuated in response to the variation in the oxygen concentration under cyclic hypoxic condition, and remained relatively high. Thus, cyclic hypoxia alters microvascular network function in a manner similar to ischemic conditioning and is associated with sustained ROS generation. © 2024 IEEE.

关键词： Reactive oxygen species

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Effect of Preloading on Strain Ratio Measurement： A Phantom Study Using Real-time Tissue Elastography

Transactions of Japanese Society for Medical and Biological ...

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Transactions of Japanese Society for Medical and Biological engineering 2024年第2-3期62卷 65-70页

作者： Yamada, Daichi Tanaka, Noriko Koshino, Yaemi Koyanagi, Maki Faculty of Biomedical Engineering Osaka Electro-Communication University Graduate School Japan Department of Rehabilitation Osaka University Hospital Japan Faculty of Health Science Osaka Electro-Communication University Japan

Decreased tendon stiffness is considered to be a factor in the progression of tendon injury, and research is ongoing to develop methods for quantitatively assessing tendon stiffness. Strain ratio (SR) measurement using the strain elastography function of an ultrasound diagnostic device can noninvasively measure the stiffness of living tissue based on the ratio of strain values between the acoustic coupler and the measured material, and thus can be used to assess the stiffness of tendons. However, the reliability of such measurements remains an issue. Therefore, the purpose of this study was to clarify the influence of preloading on the SR measurement of a phantom mimicking a tendon with decreased stiffness. Independent inclusions with stiffness values of 100, 200, and 400 kPa were placed in the phantom and measured. Preloading was set to 0.5, 1.0, and 1.5 N, and the SR was measured by applying an mechanically controlled additional load of 3.0 N. Taking the average of three measurements for each inclusion as a representative value, three sets of measurements were performed on different days for each preloading condition. The intraclass correlation coefficient (ICC) was used to examine the intra-observer reliability between days. In addition, the SR among preloading conditions was compared. ICC (1, 1) was 0.99 for all preloading conditions, indicating excellent reliability. The comparison among preloading conditions showed that the SR significantly decreased at a preloading of 1.5 N compared with 0.5 N for all inclusions. These results suggest the importance of controlling preloading during SR measurements. © 2024, Japan Soc. of Med. Electronics and Biol. engineering. All rights reserved.

关键词： Reliability

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A novel label-free electrochemical immunosensor for the detection of heat shock protein 70 of lung adenocarcinoma cell line following paclitaxel treatment using l-cysteine-functionalized Au@MnO2/MoO3 nanocomposites

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RSC Advances 2023年第43期13卷 29847-29861页

作者： Chen, Yi-An Shie, Ming-You Ho, Chia-Che Ye, Sheng-Wen Chen, I.-Wen Peter Shih, Yu-Yin Shen, Yu-Fang Chen, Yi-Wen x-Dimension Center for Medical Research and Translation China Medical University Hospital Taichung City404332 Taiwan The Master Program for Biomedical Engineering China Medical University Taichung City406040 Taiwan Department of Biomedical Engineering China Medical University Taichung City40447 Taiwan Department of Bioinformatics and Medical Engineering Asia University Taichung City41354 Taiwan Department of Chemistry National Cheng Kung University Tainan70101 Taiwan Graduate Institute of Biomedical Sciences China Medical University Taichung City40447 Taiwan

The future trend in achieving precision medicine involves the development of non-invasive cancer biomarker sensors that offer high accuracy, low cost, and time-saving benefits for risk clarification, early detection, disease detection, and therapeutic monitoring. A facile approach for the synthesis of MoO3 nanosheets was developed by thermally oxidizing MoS2 nanosheets in air followed by thermal annealing. Subsequently, Au@MnO2 nanocomposites were prepared using a combined hydrothermal process and in situ chemical synthesis. In this study, we present a novel immunosensor design strategy involving the immobilization of antiHSP70 antibodies on Au@MnO2/MoO3 nanocomposites modified on a screen-printed electrode (SPE) using EDC/NHS chemistry. This study establishes HSP70 as a potential biomarker for monitoring therapeutic response during anticancer therapy. Impedance measurements of HSP70 on the Au@MnO2/MoO3/SPE immunosensor using EIS showed an increase in impedance with an increase in HSP70 concentration. The electrochemical immunosensor demonstrated a good linear response in the range of 0.001 to 1000 ng mL−1 with a detection limit of 0.17 pg mL−1 under optimal conditions. Moreover, the immunosensor was effective in detecting HSP70 at low concentrations in a lung adenocarcinoma cell line following Paclitaxel treatment, indicating its potential for early detection of the HSP70 biomarker in organ-on-a-chip and clinical applications. © 2023 The Royal Society of Chemistry.

关键词： Nanosheets

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Blood Leakage Detection System in Hemodialysis Machine Filtration Process

Blood Leakage Detection System in Hemodialysis Machine Filtr...

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2022 International Conference on Computer engineering, Network and Intelligent Multimedia, CENIM 2022

作者： Damaringrat, Mohammad Maulana Nuh, Mohammad Fatoni, Muhammad Hilman Sardjono, Tri Arief Biomedical Engineering Study Program Surabaya Indonesia

ISBN: (纸本)9781665476508

Chronic kidney disease worldwide is currently on the rise and is a serious health problem. One of the important components that must be monitored is the Blood Leak Detector (BLD). In hemodialysis machines, BLD has an important role to protect patients from blood loss and unsterile dialysate infusion due to rupture of the dialyser membrane. In this study, a detection system was designed that aims to detect blood leakage using a turbidity sensor and a TCS3200 color sensor. The detection method in this system uses a fuzzy logic system with RGB input from the TCS3200 color sensor which will be uploaded to the microcontroller and the turbidity sensor will detect the amount of blood that is leaking. After testing, the BLD instrumentation system has 100% succeeded in detecting blood leakage with a minimum blood leakage of 1.5 mL. © 2022 IEEE.

关键词： Color

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3D Image Generation from X-ray Projections Using Generative Adversarial Networks 23

3D Image Generation from X-ray Projections Using Generative ...

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23rd IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2023

作者： AlShurbaji, Mohammad Dhou, Salam Biomedical Engineering Graduate Program American University of Sharjah Sharjah United Arab Emirates Department of Computer Science and Engineering American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9798350393118

The human brain can effortlessly imagine a 3D image from only 2D images with a little expertise and imagination, but for machines, this is not a trivial task. Because of this, reconstructing 3D images from 2D ones is a hot topic and has many applications. In this paper, we propose a Generative Adversarial Network (GAN)-based approach that generates CT-like images using pairs of orthogonal X-ray projections taken from different angles. In this work, a variety of orthogonal pairs from different angles, ranging from 0 &90 to 60 &150, were considered as input to the 3D image generation model. The effectiveness of the proposed method was assessed by measuring the Structural Similarity Index (SSIM) and Peak Signal-to-Noise Ratio (PSNR), which resulted in values of 0.641 and 29.21, respectively. Furthermore, the model's ability to capture the respiratory motion in the input projections and reflect it in the generated images was also assessed. This work demonstrated the feasibility of generating CT-like images from X-ray projections captured from different orthogonal angles taking into consideration the respiratory motion exhibited in these projections. © 2023 IEEE.

关键词： Generative adversarial networks

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Quantitative Assessment of Gait in Spinocerebellar Ataxia Using Deep Learning 4

Quantitative Assessment of Gait in Spinocerebellar Ataxia Us...

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4th IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2024

作者： Lai, Ming-Hui Liu, Don-Gey Cheng, Ching-Hwa Lai, Chung-Yu Master's Program of Biomedical Informatics and Biomedical Engineering Feng Chia University Taichung Taiwan Feng Chia University Department of Electronic Engineering Taichung Taiwan Hungkuang University Department of Medical Equipment Development and Application Taichung Taiwan

ISBN: (纸本)9798350360721

Spinocerebellar ataxia is a neurological disorder characterized by impaired neural coordination, leading to unstable gait, coordination difficulties, and other motor abnormalities. This disease significantly impacts patients' daily lives, making it challenging for them to maintain balance, walk smoothly, and even perform fine motor skills. The causes of spinocerebellar ataxia are diverse, including genetic factors, brain injuries, or certain diseases. Many patients with spinocerebellar ataxia require specialized medical care and ongoing monitoring to manage its effects. This study aims to utilize Human Posture Estimation to detect the gait patterns of patients with spinocerebellar ataxia and integrate it with a deep learning model to distinguish between normal and affected individuals. The outcomes offer physicians an objective diagnostic tool and facilitate early detection and intervention for patients with impaired gait, thereby supporting the enhancement or preservation of their quality of life. The current prediction accuracy for the risk of ataxia gait is 80%, with an F1 score of 78.26%. It is necessary to conduct a detailed quantitative assessment by analyzing the gait of patients with spinocerebellar ataxia. Quantitative evaluation of the data allows for an objective assessment of the patient's gait, which helps healthcare professionals to more accurately understand and assess the gait status of patients with spinocerebellar ataxia. © 2024 IEEE.

关键词： Gait analysis

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Research on Multimodal Brain Tumor Segmentation Algorithm Based on Feature Decoupling and Information Bottleneck Theory

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Computers, Materials & Continua 2025年第2期82卷 3281-3307页

作者： Xuemei Yang Yuting Zhou Shiqi Liu Junping Yin China Academy of Engineering Physics Graduate SchoolBeijing100193China Shanghai Zhangjiang Institute of Mathematics Biomedical LaboratoryShanghai201203China Institute of Applied Physics and Computational Mathematics Tang Chuang CentreBeijing100094China

Aiming at the problems of information loss and the relationship between features and target tasks in multimodal medical image segmentation, a multimodal medical image segmentation algorithm based on feature decoupling and information bottleneck theory is proposed in this paper. Based on the reversible network, the bottom-up learning method for different modal information is constructed, which enhances the features’ expression ability and the network’s learning ability. The feature fusion module is designed to balance multi-directional information flow. To retain the information relevant to the target task to the maximum extent and suppress the information irrelevant to the target task, the feature decoupling module is designed to ensure a strong correlation between the feature and the target task. A loss function based on information bottleneck theory was intended to improve information quality and remove redundant information. Based on BraTs2021, BraTs2023-MET and ANNLIB datasets, the proposed algorithm is analyzed qualitatively and quantitatively in this paper. In the quantitative experiment, the Dice coefficient of the proposed algorithm was increased by 0.110 on average compared with other methods, and the HD95 was decreased by 28.568 on average compared with other methods. In qualitative analysis, the proposed algorithm can effectively segment the incoherent region between the lesion and the lesion boundary and achieve accurate segmentation of the lesion.

关键词： Image fusion image segmentation deep learning

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