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Piezoelectric and triboelectric nanogenerators: Promising technologies for self-powered implantable biomedical devices

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Nano Energy 2024年 119卷

作者： Khan, Arshad Joshi, Ravindra Sharma, Manish Kumar Ganguly, Anindita Parashar, Parag Wang, Ting-Wei Lee, Sangmin Kao, Fu-Cheng Lin, Zong-Hong Department of Biomedical Engineering National Taiwan University Taipei10167 Taiwan International Intercollegiate PhD Program National Tsing Hua University Hsinchu30013 Taiwan Department of Power Mechanical Engineering National Tsing Hua University Hsinchu30013 Taiwan Department of Materials Science and Engineering National Tsing Hua University Hsinchu30013 Taiwan Internet of Senses Research Center National Tsing Hua University Hsinchu30013 Taiwan Department of Biomedical Engineering and Environmental Sciences National Tsing Hua University Hsinchu30013 Taiwan School of Mechanical Engineering Chung-Ang University Seoul06974 Korea Republic of Department of Orthopaedic Surgery Chang Gung Memorial Hospital Taoyuan33305 Taiwan College of Medicine Chang Gung University Taoyuan33302 Taiwan Department of Chemical Engineering National Taiwan University Taipei10167 Taiwan

Implantable biomedical devices (IBDs) have garnered wide-scale attention in recent years due to their enormous contribution to the biomedical sector. However, an uninterrupted and reliable power source has consistently been the primary barrier for IBDs, which is greatly alleviated by batteries. The widespread application of battery-powered IBDs is hindered by several limitations, including bulkiness, limited capacity and shelf-life, and expenditure associated with surgery-based battery recharge/replacement. To address these challenges, state-of-the-art self-powering technologies have emerged, including implantable piezoelectric nanogenerators (iPENGs) and implantable triboelectric nanogenerators (iTENGs). These technologies enable IBDs to operate autonomously by harnessing the minute mechanical movements of internal organs, such as heartbeat, respiration, blood circulation, muscle contraction/relaxation, and lung vibration. This review focuses on the recent advancements in iTENGs and iPENGs for the development of self-powered IBDs with a wide range of applications, including energy harvesting from biomechanical and ultrasound sources and energy storage using batteries and capacitors. This study also explores the extensive sensing applications of IBDs in various areas including cardiac, gastrointestinal, bladder, and ligament-strain monitoring. Finally, therapeutic applications of IBDs, such as nerve stimulation, bone stimulation, cartilage therapy, tissue regeneration, muscle stimulation, drug delivery, and diabetes management are discussed. © 2023 Elsevier Ltd

关键词： Nanogenerators

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Machine-learned molecular surface and its application to implicit solvent simulations

arXiv

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arXiv 2021年

作者： Wei, Haixin Zhao, Zekai Luo, Ray Departments of Materials Science and Engineering Molecular Biology and Biochemistry Chemical and Biomolecular Engineering and Biomedical Engineering Graduate Program in Chemical and Materials Physics University of California IrvineCA92697 United States

Implicit solvent models, such as Poisson-Boltzmann models, play important roles in computational studies of biomolecules. A vital step in almost all implicit solvent models is to determine the solvent-solute interface, and the solvent excluded surface (SES) is the most widely used interface definition in these models. However, classical algorithms used for computing SES are geometry-based, thus neither suitable for parallel implementations nor convenient for obtaining surface derivatives. To address the limitations, we explored a machine learning strategy to obtain a level-set formulation for the SES. The training process was conducted in three steps, eventually leading to a model with over 95% agreement with the classical SES. Visualization of tested molecular surfaces shows that the machine-learned SES overlaps with the classical SES on almost all situations. We also implemented the machine-learned SES into the Amber/PBSA program to study its performance on reaction field energy calculation. The analysis shows that the two sets of reaction field energies are highly consistent with 1% deviation on average. Given its level-set formulation, we expect the machine-learned SES to be applied in molecular simulations that require either surface derivatives or high efficiency on parallel computing platforms. © 2021, CC BY.

关键词： Solvents

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The Impact of Fidget Spinners on Fine Motor Skills in Individuals with and without ADHD: An Exploratory Analysis

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Journal of Behavioral and Brain science 2022年第3期12卷 82-101页

作者： Reza Koiler Austin Schimmel Elham Bakhshipour Patricia A. Shewokis Nancy Getchell Biomechanics and Movement Sciences Program University of Delaware Newark DE USA Department of Kinesiology and Applied Physiology University of Delaware Newark DE USA Nutrition Sciences Department College of Nursing and Health Professions School of Biomedical Engineering Science and Health Systems School of Education Drexel University Philadelphia USA

Fidget spinners have been marketed as repetitive motion devices that improve attention and motor performance, and as such, they have become quite appealing to individuals with Attention Deficit Hyperactive Disorder (ADHD). To date, no studies have explored changes in brain activity that may occur due to fidgeting in ADHD. Our aim was to use functional Near-Infrared Spectroscopy (fNIRS) to examine the prefrontal cortex (PFC) during the performance of a standardized fine motor skills test after using a fidget spinner. Eight right-handed adults with ADHD and eight age and gender matched adults without ADHD (4F/4M, 4 control/4 fidget) performed the Purdue Pegboard Test (PPT) while their brain oxygenation was monitored using fNIRS. Relative neural efficiency (RNE) and involvement (RNI) were calculated and analyzed for all subtasks of PPT including the less cognitively demanding fine motor subtasks and more complex assembly tasks. The fidget spinner improved both task performance and RNE in the ADHD group but not the non-ADHD group for the less cognitively demanding subtasks. Our results indicate Fidget spinners may improve both relative neural efficiency and fine motor performance in adults with ADHD for less cognitively demanding tasks.

关键词： Fidget Spinners fNIRS ADHD Executive Function Motor Skill

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No-boundary thinking: a viable solution to ethical data-driven AI in precision medicine

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AI and ethics 2022年第4期2卷 635-643页

作者： Tayo Obafemi-Ajayi Andy Perkins Bindu Nanduri Donald C Wunsch Ii James A Foster Joan Peckham Engineering Program Missouri State University Springfield MO USA. Department of Computer Science and Engineering Mississippi State University Starkville MS USA. Department of Comparative Biomedical Sciences College of Veterinary Medicine Mississippi State University Starkville MS USA. Electrical & Computer Engineering Department Missouri University of Science and Technology Rolla MO USA. Biological Sciences Department University of Idaho Moscow ID USA. Computer Science & Statistics Department University of Rhode Island Kingston RI USA.

Today Artificial Intelligence (AI) supports difficult decisions about policy, health, and our personal lives. The AI algorithms we develop and deploy to make sense of information, are informed by data, and based on models that capture and use pertinent details of the population or phenomenon being analyzed. For any application area, more importantly in precision medicine which directly impacts human lives, the data upon which algorithms are run must be procured, cleaned, and organized well to assure reliable and interpretable results, and to assure that they do not perpetrate or amplify human prejudices. This must be done without violating basic assumptions of the algorithms in use. Algorithmic results need to be clearly communicated to stakeholders and domain experts to enable sound conclusions. Our position is that AI holds great promise for supporting precision medicine, but we need to move forward with great care, with consideration for possible ethical implications. We make the case that a no-boundary or convergent approach is essential to support sound and ethical decisions. No-boundary thinking supports problem definition and solving with teams of experts possessing diverse perspectives. When dealing with AI and the data needed to use AI, there is a spectrum of activities that needs the attention of a no-boundary team. This is necessary if we are to draw viable conclusions and develop actions and policies based on the AI, the data, and the scientific foundations of the domain in question.

关键词： Artificial intelligence Data science Ethics Precision medicine

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Mixed Reality Environment and High-Dimensional Continuification Control for Swarm Robotics

arXiv

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arXiv 2023年

作者： Maffettone, Gian Carlo Liguori, Lorenzo Palermo, Eduardo di Bernardo, Mario Porfiri, Maurizio Gian Carlo Maffettone and Mario di Bernardo The Modeling and Engineering Risk and Complexity program The Scuola Superiore Meridionale Naples Italy The Department of Mechanical and Aerospace Engineering University of Rome La Sapienza Romania The Dept. of Biomedical Engineering Dept. of Mechanical and Aerospace Engineering Tandon School of Engineering New York University New York United States The Center for Urban Science and Progress Tandon School of Engineering New York University New York United States The Dept. of Electrical Engineering and Information Technology University of Naples Federico II Naples Italy

Many new methodologies for the control of large-scale multi-agent systems are based on macroscopic representations of the emerging system dynamics, in the form of continuum approximations of large ensembles. These techniques, that are developed in the limit case of an infinite number of agents, are usually validated only through numerical simulations. In this paper, we introduce a mixed reality set-up for testing swarm robotics techniques, focusing on the macroscopic collective motion of robotic swarms. This hybrid apparatus combines both real differential drive robots and virtual agents to create a heterogeneous swarm of tunable size. We also extend continuification-based control methods for swarms to higher dimensions, and assess experimentally their validity in the new platform. Our study demonstrates the effectiveness of the platform for conducting large-scale swarm robotics experiments, and it contributes new theoretical insights into control algorithms exploiting continuification approaches. © 2023, CC BY-NC-ND.

关键词： Mixed reality

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Surface Tracking Integrated Extended Depth-of-Field Microscopy for Rapid Non-Contact Examination of Conjunctival Goblet Cells in Humans

SSRN

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SSRN 2024年

作者： Lee, Jungbin Kim, Seonghan Choi, Wan Jae Ryu, Jin Suk Yoon, Chang Ho Kim, Ki Hean Department of Mechanical Engineering Pohang University of Science and Technology Gyeongbuk Pohang37673 Korea Republic of Department of Ophthalmology Seoul National University College of Medicine 101 Daehak-ro Jongno-gu Seoul03080 Korea Republic of Laboratory of Ocular Regenerative Medicine and Immunology Biomedical Research Institute Seoul National University Hospital Jongno-gu Seoul03080 Korea Republic of Medical Science and Engineering Program School of Convergence Science and Technology Pohang University of Science and Technology Gyeongbuk Pohang37673 Korea Republic of Institute for Convergence Research and Education in Advanced Technology Yonsei University Seoul03722 Korea Republic of Seoul National University Hospital Korea Republic of

Conjunctival goblet cells (CGCs) are specialized epithelial cells playing key roles for ocular surface homeostasis and their examination is important for ocular surface disease diagnosis. Recently high-contrast imaging methods were developed for non-invasive CGC examination and verified in animal studies. However, significant challenges remain for human applications. High-speed large-area mosaic imaging along the curved ocular surface is needed to assess statistically meaningful CGCs in the extensive human conjunctiva. To address this challenge, we developed a novel surface detection method and an integrated microscopy system and applied it to human subjects. With both a long detection range and a high update rate, the surface detection method enabled real-time surface tracking during large-area imaging. The integrated microscopy could complete 5×2 patch imaging in approximately 10 s. CGC density analysis showed robust density measurement with the large-area imaging. This is the first demonstration of non-contact large-area cellular examination in humans, and this new development holds promise for non-invasive CGC examination and precision diagnosis of ocular surface diseases. © 2024, The Authors. All rights reserved.

关键词： Cells

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Snake-scale stimulated robust biomimetic composite triboelectric layer for energy harvesting and smart health monitoring

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Nano Energy 2024年 122卷

作者： Huang, Ming-Zheng Parashar, Parag Chen, An-Rong Shi, Shih-Chen Tseng, Yao-Hsuan Lim, Kee Chin Yeh, Hsuan-Yu Pal, Arnab Kang, Dun-Yen Lin, Zong-Hong Institute of Biomedical Engineering National Tsing Hua University Hsinchu 30013 Taiwan Department of Biomedical Engineering National Taiwan University Taipei 10617 Taiwan Department of Chemical Engineering National Taiwan University Taipei 10617 Taiwan Department of Materials Science and Engineering National Tsing Hua University Hsinchu 30013 Taiwan Department of Mechanical Engineering National Cheng Kung University Tainan 70101 Taiwan International Intercollegiate Ph.D. Program National Tsing Hua University Hsinchu 30013 Taiwan Department of Power Mechanical Engineering National Tsing Hua University Hsinchu 30013 Taiwan Internet of Senses Research Center National Tsing Hua University Hsinchu 30013 Taiwan

Extreme frictional wear of triboelectric layers severely hinders long-term sustainability of triboelectric nanogenerators (TENGs) for efficient ambient energy harvesting. The state-of-the-art solutions necessitate sophisticated structural designs and complex packaging constraints, impeding the feasibility of TENGs for practical applications. Herein, inspired by the structures and compositions of snake scales, a biomimetic composite (BC) film is fabricated as a wear-resistant triboelectric contact layer. The successful formation of disulfide bond-facilitated cross-linkage of cysteine proteins in the keratin-based BC film promotes excellent mechanical resilience and durability, thereby solving the material abrasion challenges associated with solid-solid triboelectric layers. The BC film, with toothed microstructure, exhibits improved charge transfer, low friction, and consistent long-term stable outputs compared to commercial films. Furthermore, a self-powered BC film-based TENG is integrated into a bicycle for biomechanical energy harvesting, lightening warning signals for safer night ride with stable 300 V electrical output for at least 6 h. Moreover, a smart health monitoring system is further proposed by embedding TENG-based sensors into the bicycle saddle, accurately capturing the rider's pelvic-saddle interactions on varying terrain slopes. By leveraging the unique biomechanical information, machine learning-assisted user identification and terrain slope data classifications are achieved with high accuracies, laying a foundation for futuristic smart healthcare applications. This work provides a strategy to reduce material abrasion by exploiting the unique characteristics of a biomimetic material, facilitating a basis for efficient environmental energy harvesting and smart sensing. © 2024 Elsevier Ltd

关键词： Biomechanical energy harvesting Biomimetic Smart healthcare Snake-scales Triboelectric nanogenerator Wear resistance

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Intelligent films of marine polysaccharides and purple cauliflower extract for food packaging and spoilage monitoring

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Carbohydrate Polymers 2023年 299卷

作者： Huang, Han-Lun Tsai, I-Lin Lin, Chi Hang, Yu-Hao Ho, Yi-Cheng Tsai, Min-Lang Mi, Fwu-Long Department of Food Science National Taiwan Ocean University Keelung20224 Taiwan Department of Biochemistry and Molecular Cell Biology School of Medicine College of Medicine Taipei Medical University Taipei11031 Taiwan Graduate Institute of Medical Sciences College of Medicine Taipei Medical University Taipei11031 Taiwan Department of Bioagricultural Science National Chiayi University Chiayi60004 Taiwan Ph.D. Program of Agriculture Science National Chiayi University Chiayi60004 Taiwan Graduate Institute of Nanomedicine and Medical Engineering College of Biomedical Engineering Taipei Medical University Taipei11031 Taiwan

In this study, metalloanthocyanin-inspired, biodegradable packaging films were developed by incorporating purple cauliflower extracted (PCE) anthocyanins into alginate (AL)/carboxymethyl chitosan (CCS) hybrid polymer matrices based on complexation of metal ions with these marine polysaccharides and anthocyanins. PCE anthocyanins-incorporated AL/CCS films were further modified with fucoidan (FD) because this sulfated polysaccharide can form strong interactions with anthocyanins. Metals-involved complexation (Ca2+ and Zn2+-crosslinked films) improved the mechanical strength and water vapor permeability but reduced the swelling degree of the films. Zn2+-cross-linked films exhibited significantly higher antibacterial activity than did pristine (non-crosslinked) and Ca2+-cross-linked films. The metal ion/polysaccharide-involved complexation with anthocyanin reduced the release rate of anthocyanins, increased the storage stability and antioxidant capability, and improved the sensitivity of the colorimetric response of the indicator films for monitoring the freshness of shrimp. The anthocyanin-metal-polysaccharide complex film showed great potential as active and intelligent packaging of food products. © 2022 Elsevier Ltd

关键词： Metal ions

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Integrated application of grafted ZnO and fungicide to control the fungicide-resistant Colletotrichum spp

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Journal of the Taiwan Institute of Chemical Engineers 2024年 155卷

作者： Chang, Tao-Ho Chen, Yi-Chi Lai, Yu-Fang Wu, Tzu-Chien Lai, Chian-Hui Hsueh, Han-Yu Chang, Pi-Fang Linda Program in Plant Health Care Academy of Circular Economy National Chung Hsing University Nantou540216 Taiwan Innovation and Development Center of Sustainable Agriculture National Chung Hsing University Taichung402202 Taiwan Master Program for Plant Medicine and Good Agricultural Practice National Chung Hsing University Taichung402202 Taiwan Department of Material Science & Engineering National Chung Hsing University Taichung402202 Taiwan Graduate Institute of Biomedical Engineering National Chung Hsing University Taichung402202 Taiwan Department of Medicinal and Applied Chemistry Kaohsiung Medical University Kaohsiung807378 Taiwan Department of Plant Pathology National Chung Hsing University 402202 Taiwan

Background: The Food and Agriculture Organization has reported approximately 40 % of food loss due to damage from plant pests and diseases, including fungal infections. Continuous application of agrichemicals for controlling fungal infection cause the occurrence of fungicide resistance. Colletotrichum spp., major causal agents for strawberry anthracnose, have gained concern for fungicide resistance issues. Methods: We developed novel antifungal strategies in the present study by integrating multibranched flower-like ZnO (fZnO) and agrochemicals (trifloxystrobin). fZnO compounds were synthesised using an eco-friendly and efficient hydrothermal method. Charged polymers with steric structures, such as hydrophilic polyacrylic acid (PAA) and polyethyleneimine (PEI), were grafted onto fZnO surfaces to improve the suspension ability of the compounds. We used the grafted fZnO compounds in combination with the fungicide trifloxystrobin to evaluate the in vitro and in vivo activities. Significant findings: Grafted fZnO (80 ppm) and trifloxystrobin (100 ppm) effectively inhibited the growth of fungicide-resistant Colletotrichum spp. and limited strawberry anthracnose on leaves. PEI-grafted fZnO shows promise as an eco-friendly additive in sustainable agriculture due to its photocatalytic activity and ability to withstand environmental factors. © 2023

关键词： Zinc oxide

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Corrigendum to "Curcumin-laden dual-targeting fucoidan/chitosan nanocarriers for inhibiting brain inflammation via intranasal delivery" [Int. J. Biol. Macromol. 181 (2021) 835-846]

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International journal of biological macromolecules 2022年 206卷 1040-1041页

作者： Trong-Ming Don Wan-Ju Chang Pei-Ru Jheng Yi-Cheng Huang Er-Yuan Chuang Department of Chemical and Materials Engineering Tamkang University New Taipei City Taiwan College of Life Sciences Department of Food Science National Taiwan Ocean University Keelung Taiwan Graduate Institute of Biomedical Materials and Tissue Engineering International PhD Program in Biomedical Engineering Graduate Institute of Biomedical Optomechatronics School of Biomedical Engineering College of Biomedical Engineering Taipei Medical University Taipei Taiwan Research Center of Biomedical Device Taipei Medical University Taipei Taiwan Cell Physiology and Molecular Image Research Center Taipei Medical University-Wan Fang Hospital Taipei Taiwan. Cell Physiology and Molecular Image Research Center Taipei Medical University-Wan Fang Hospital Taipei Taiwan. Electronic address: ychuang@mail.ntou.edu.tw. Cell Physiology and Molecular Image Research Center Taipei Medical University-Wan Fang Hospital Taipei Taiwan. Electronic address: eychuang@tmu.edu.tw.

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