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Technology Roadmap for Flexible Sensors

ACS NANO 2023年第6期17卷 5211-5295页

作者： Luo, Yifei Abidian, Mohammad Reza Ahn, Jong-Hyun Akinwande, Deji Andrews, Anne M. Antonietti, Markus Bao, Zhenan Berggren, Magnus Berkey, Christopher A. Bettinger, Christopher John Chen, Jun Chen, Peng Cheng, Wenlong Cheng, Xu Choi, Seon-Jin Chortos, Alex Dagdeviren, Canan Dauskardt, Reinhold H. Di, Chong-an Dickey, Michael D. Duan, Xiangfeng Facchetti, Antonio Fan, Zhiyong Fang, Yin Feng, Jianyou Feng, Xue Gao, Huajian Gao, Wei Gong, Xiwen Guo, Chuan Fei Guo, Xiaojun Hartel, Martin C. He, Zihan Ho, John S. Hu, Youfan Huang, Qiyao Huang, Yu Huo, Fengwei Hussain, Muhammad M. Javey, Ali Jeong, Unyong Jiang, Chen Jiang, Xingyu Kang, Jiheong Karnaushenko, Daniil Khademhosseini, Ali Kim, Dae-Hyeong Kim, Il-Doo Kireev, Dmitry Kong, Lingxuan Lee, Chengkuo Lee, Nae-Eung Lee, Pooi See Lee, Tae-Woo Li, Fengyu Li, Jinxing Liang, Cuiyuan Lim, Chwee Teck Lin, Yuanjing Lipomi, Darren J. Liu, Jia Liu, Kai Liu, Nan Liu, Ren Liu, Yuxin Liu, Yuxuan Liu, Zhiyuan Liu, Zhuangjian Loh, Xian Jun Lu, Nanshu Lv, Zhisheng Magdassi, Shlomo Malliaras, George G. Matsuhisa, Naoji Nathan, Arokia Niu, Simiao Pan, Jieming Pang, Changhyun Pei, Qibing Peng, Huisheng Qi, Dianpeng Ren, Huaying Rogers, John A. Rowe, Aaron Schmidt, Oliver G. Sekitani, Tsuyoshi Seo, Dae-Gyo Shen, Guozhen Sheng, Xing Shi, Qiongfeng Someya, Takao Song, Yanlin Stavrinidou, Eleni Su, Meng Sun, Xuemei Takei, Kuniharu Tao, Xiao-Ming Tee, Benjamin C. K. Thean, Aaron Voon-Yew Trung, Tran Quang Wan, Changjin Wang, Huiliang Wang, Joseph Wang, Ming Wang, Sihong Wang, Ting Wang, Zhong Lin Weiss, Paul S. Wen, Hanqi Xu, Sheng Xu, Tailin Yan, Hongping Yan, Xuzhou Yang, Hui Yang, Le Yang, Shuaijian Yin, Lan Yu, Cunjiang Yu, Guihua Yu, Jing Yu, Shu-Hong Yu, Xinge Zamburg, Evgeny Zhang, Haixia Zhang, Xiangyu Zhang, Xiaosheng Zhang, Xueji Zhang, Yihui Zhang, Yu Zhao, Siyuan Zhao, Xuanhe Zheng, Yuanjin Zheng, Yu-Qing Zheng, Zijian Zhou, Tao Zhu, Bowen Zhu, Ming Zhu, Rong Zhu, Yangzhi Zhu, Yong Zou, Guijin Chen, Xiaodong 08-03 Innovis Singapore 138634 Republic of Singapore Innovative Centre for Flexible Devices (iFLEX) School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore Department of Biomedical Engineering University of Houston Houston Texas 77024 United States School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 United States Microelectronics Research Center The University of Texas at Austin Austin Texas 78758 United States Department of Chemistry and Biochemistry California NanoSystems Institute and Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior and Hatos Center for Neuropharmacology University of California Los Angeles Los Angeles California 90095 United States Colloid Chemistry Department Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemical Engineering Stanford University Stanford California 94305 United States Laboratory of Organic Electronics Department of Science and Technology Campus Norrköping Linköping University 83 Linköping Sweden Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC) SE-100 44 Stockholm Sweden Department of Materials Science and Engineering Stanford University Stanford California 94301 United States Department of Biomedical Engineering and Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 United States Department of Bioengineering University of California Los Angeles Los Angeles California 90095 United States School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University Singapore 637457 Singapore Nanobionics Group Department of Chemical and Biological Engineering Monash University Clayton Australia 3800 Monash

Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze continued...challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative

关键词： soft materials mechanics engineering flexible electronics conformable sensors bioelectronics human-machine interfaces body area sensor networks technology translation sustainable electronics

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Nano/microfibrillated cellulose technology and developments in composite and coating materials for packaging

Nano/microfibrillated cellulose technology and developments ...

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TAPPICon Virtual 2021

作者： Bousfield, Doug Pal, Lokendra Department of Chemical and Biomedical Engineering Paper Surface Science Program University of Maine Department of Forest Biomaterials North Carolina State University

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Oxygen generating scaffolds regenerate critical size bone defects

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Bioactive Materials 2022年第7期7卷 64-81页

作者： Sanika Suvarnapathaki Xinchen Wu Tengfei Zhang Michelle A.Nguyen Anastasia A.Goulopoulos Bin Wu Gulden Camci-Unal Biomedical Engineering and Biotechnology Program University of Massachusetts LowellOne University AvenueLowellMA01854USA Department of Chemical Engineering University of Massachusetts LowellOne University AvenueLowellMA01854USA Department of Neurosurgery Sanbo Brain HospitalCapital Medicine UniversityBeijing100069China Department of Surgery University of Massachusetts Medical School55 Lake Avenue NorthWorcesterMA01605USA

Recent innovations in bone tissue engineering have introduced biomaterials that generate oxygen to substitute *** strategy provides the immediate oxygen required for tissue viability and graft *** we demonstrate a novel oxygen-generating tissue scaffold with predictable oxygen release kinetics and modular material *** hydrogel scaffolds were reinforced with microparticles comprised of emulsified calcium peroxide(CaO_(2))within polycaprolactone(PCL).The alterations of the assembled materials produced constructs within 5±0.81 kPa to 34±0.9 kPa in mechanical *** mass swelling ratios varied between 11%and 25%.Our in vitro and in vivo results revealed consistent tissue viability,metabolic activity,and osteogenic differentiation over two *** optimized in vitro cell culture system remained stable at pH *** in vivo rodent models demonstrated that these scaffolds support a 70 mm^(3) bone volume that was comparable to the native bone and yielded over 90%regeneration in critical size cranial ***,the in vivo bone remodeling and vascularization results were validated by tartrate-resistant acid phosphatase(TRAP)and vascular endothelial growth factor(VEGF)*** promising results of this work are translatable to a repertoire of regenerative medicine applications including advancement and expansion of bone substitutes and disease models.

关键词： Bone Cranial regeneration Critical size defect Oxygen Calcium peroxide

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Reinforcement learning for robust dynamic metabolic control

arXiv

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arXiv 2025年

作者： Espinel-Ríos, Sebastián Walser, River Zhang, Dongda Biomedical Manufacturing Program Commonwealth Scientific and Industrial Research Organisation Clayton Australia Basis Independent Brooklyn New York United States Department of Chemical Engineering University of Manchester Manchester United Kingdom

Dynamic metabolic control can enhance bioprocess flexibility and expand the available optimization degrees of freedom via real-time modulation of metabolic enzyme expression. This allows target metabolic fluxes to be dynamically tuned throughout the process. However, identifying optimal dynamic control policies is challenging due to the presence of potential metabolic burden, cytotoxic effects, and the generally high-dimensional solution space, making exhaustive experimentation impractical. Here, we propose an approach based on reinforcement learning to derive optimal dynamic metabolic control policies by allowing an agent or controller to interact with a surrogate dynamic model in silico. To incorporate and test robustness, we apply domain randomization, enabling the controller to generalize across system uncertainties. Our approach provides an alternative to conventional model-based control such as model predictive control, which requires differentiating the models with respect to decision variables;an often impractical task when dealing with complex stochastic, nonlinear, stiff, or piecewise-defined dynamics. In contrast, our approach only requires forward integration, making the task computationally much simpler with off-the-shelf solvers. We demonstrate our approach with a case study on the dynamic control of acetyl-CoA carboxylase in Escherichia coli for fatty acid biosynthesis. The derived dynamic metabolic control policies outperform static control, achieving up to 40 % higher titers while remaining robust under uncertainty. © 2025, CC BY.

关键词： Stochastic systems

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Integration of text mining and biological network analysis to access essential genes in Desulfovibrio alaskensis G20

Integration of text mining and biological network analysis t...

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2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021

作者： Saxena, Priya Tripathi, Abhilash Kumar Thakur, Payal Rauniyar, Shailabh Gopalakrishnan, Vinoj Singh, Ram Nageena Olakunle, Mathew A. Gnimpieba, Etienne Z. Sani, Rajesh Kumar South Dakota School of Mines and Technology Department of Chemical and Biological Engineering Rapid City United States University of South Dakota Biomedical Engineering Program Sioux Falls United States

ISBN: (纸本)9781665401265

Essential genes are crucial for the survival and growth of any organism, and therefore alteration of such genes could result in unexpected behavioral change. Identification of essential genes and their role in functioning of organisms is a basic knowledge requirement for any research, which could be manipulated to understand the mechanisms of survival and growth [1]. Several decades have witnessed the virtues and iniquities of the gram-negative facultative anaerobes, sulfate reducing bacteria (SRB) in both ecological and commercial arena. Despite of relentless increase in the number of published articles that belong to diverse research areas-from industrial biotechnology (removal of heavy metals and waste valorization) to molecular biology (genetic architecture of the genes in biocorrosion and biofilm formation on metals), not much information about the essential genes of SRB community is known yet [2]. The Desulfovibrio alaskensis G20 (DA-G20) is a well-known SRB;its genes have been annotated but have large numbers that encode for hypothetical proteins. Till date no categorization is available for the genes of DA-G20 with reference to essentiality [3]. The in-vitro prediction of essential genes relies highly on the exhaustive multi-omics strategies. In the era of big-data and artificial intelligence research, demand of abstraction and interpretation of complex relationships of biological importance using text mining has increased. Therefore, to propose an alternative and economic method, text mining is a comparable method for the prediction of the essential genes. In this study, we reported the essential genes of DA-G20 using text mining and biological network analysis. Moreover, the present work provides a foundation for the expansion of genome wide investigation and identification of essential genes in prokaryotes using machine learning and data science approaches. © 2021 IEEE.

关键词： Genes

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Improved camptothecin encapsulation and efficacy by environmentally sensitive block copolymer/chitosan/fucoidan nanoparticles for targeting lung cancer cells

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International Journal of Biological Macromolecules 2024年第Part2期277卷 133901页

作者： Don, Trong-Ming Hong, Yu-Ting Jheng, Pei-Ru Chuang, Er-Yuan Huang, Yi-Cheng 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 Taipei Medical University Taipei Taiwan Cell Physiology and Molecular Image Research Center Taipei Medical University–Wan Fang Hospital Taipei Taiwan

In this study, thermo-sensitive poly(N-isopropyl acrylamide) (PNP) was polymerized with pH-sensitive poly(acrylic acid) (PAA) to prepare a PAA-b-PNP block copolymer. Above its cloud point, the block copolymer self-assembled into nanoparticles (NPs), encapsulating the anticancer drug camptothecin (CPT) in situ. Chitosan (CS) and fucoidan (Fu) further modified these NPs, forming Fu-CPT-NPs to enhance biocompatibility, drug encapsulation efficiency (EE), and loading content (LC), crucially facilitating P-selectin targeting of lung cancer cells through a drug delivery system. The EE and LC reached 82 % and 3.5 %, respectively. According to transmission electron microscope observation, these Fu-CPT-NPs had uniform spherical shapes with an average diameter of ca. 250 nm. They could maintain their stability in a pH range of 5.0–6.8. In vitro experimental results revealed that the Fu-CPT-NPs exhibited good biocompatibility and had anticancer activity after encapsulating CPT. It could deliver CPT to cancer cells by targeting P-selectin, effectively increasing cell uptake and inducing cell apoptosis. Animal study results showed that the Fu-CPT-NPs inhibited lung tumor growth by increasing tumor cell apoptosis without causing significant tissue damage related to generating reactive oxygen species in lung cancer cells. This system can effectively improve drug-delivery efficiency and treatment effects and has great potential for treating lung cancer. © 2024 Elsevier B.V.

关键词： Nanoparticles

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Discovery of genes associated with sulfate-reducing bacteria biofilm using text mining and biological network analysis

Discovery of genes associated with sulfate-reducing bacteria...

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2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021

作者： Tripathi, Abhilash Kumar Saxena, Priya Thakur, Payal Rauniyar, Shailabh Gopalakrishnan, Vinoj Singh, Ram Nageena Olakunle, Mathew A. Gnimpieba, Etienne Z. Sani, Rajesh Kumar South Dakota School of Mines and Technology Department of Chemical and Biological Engineering Rapid City United States University of South Dakota Biomedical Engineering Program Sioux Falls United States

ISBN: (纸本)9781665401265

Bacterial biofilms are complex surface attached communities of bacteria glued together by extracellular polymeric substance (EPS) matrix, secreted proteins, and extracellular DNAs [1]. Biofilm show reduced growth rates and metabolism. Biofilm formation is a survival mechanism that provides with better options compared to their planktonic counterparts. It impart bacterial communities stronger ability to grow in oligotrophic environments, greater access to nutritional resources, and enhanced syntropic interactions as well as greater tolerance towards environmental stress [2]. Biofilm play a detrimental role in many areas such as healthcare, food industry, water distribution systems, oil and gas industry etc. The composition of biofilm microbial community is varies depending on the environment in which it is formed. Biofilms are stratified formations where deeper layers maintain anoxic conditions. These anoxic niches promote the growth of certain specific groups, including sulfate reducing bacteria (SRB), that use the surface (usually metal) as resources for their survival. © 2021 IEEE.

关键词： Biofilms

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Identifying genes involved in biocorrosion from the literature using text-mining

Identifying genes involved in biocorrosion from the literatu...

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2021 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2021

作者： Thakur, Payal Rauniyar, Shailabh Tripathi, Abhilash Kumar Saxena, Priya Gopalakrishnan, Vinoj Singh, Ram Nageena Olakunle, Mathew A. Gnimpieba, Etienne Z. Sani, Rajesh Kumar South Dakota School of Mines and Technology Department of Chemical and Biological Engineering Rapid City United States University of South Dakota Biomedical Engineering Program Sioux Falls United States

ISBN: (纸本)9781665401265

Background: The central repository of scientific models from the literature;however, the manual knowledge is research publications which also plays a selection of pertinent information from databases like crucial role in communication within the scientific PubMed, PMC, Dimension, Google scholar, and community. The public repositories like PubMed, Semantic scholar can be tedious;therefore, a robust PMC, Dimension, Google scholar, and Semantic approach like text mining can be used for this process. scholar act as a storehouse of biological systems data. Text mining can be defined as a practical approach to A substantial amount of information can be recovered extracting biologically relevant information from the in a semi-structured form in the literature. The main growing amount of published literature. It comprises obstacle to large-scale analysis of this kind of data is three main tasks: information retrieval from relevant their highly unstructured and heterogenous format, documents, extraction of information of interest, and making it even harder to extract information contained data mining, which allows identifying new within the literature. Nonetheless, this information is associations among the extracted set of information. inherently helpful in a variety of genomics and Here, we show that a text mining approach can exploit systems biology contexts. For example, it is a standard large literature databases like PubMed and PMC to practice in the genomics community to manually extract genes/proteins related to biocorrosion by curate and extract literature-derived protein-protein Sulfate-reducing bacteria(SRB). The corrosion of metal due to microbial activity is known as biocorrosion or MIC(Microbial Induced corrosion). The primary class of bacteria associated with corrosion of metals in aquatic and terrestrial habitats is Sulfur Reducing Bacteria(SRB). Biocorrosion results from collaborative interactions between the metal surface, corrosion products, and bacterial

关键词： Metals

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All-Electric Ship On-Board Continuous Sustainable H2 Generation from Aluminum Scrap and Seawater

All-Electric Ship On-Board Continuous Sustainable H2 Generat...

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2023 IEEE Electric Ship Technologies Symposium, ESTS 2023

作者： Taher, Dhyogo M. Balmant, Wellington Och, Stephan H. Pitz, Diogo B. Venter, Giuliana S. Filho, Lucio C. Martins, Lauber S. Vargas, Jose V. C. Ordonez, Juan C. Federal University of Paraná Ufpr Graduate Program in Mechanical Engineering Sustainable Energy Research and Development Center PR Curitiba81531-980 Brazil Maringá State University Uem Department of Chemical Engineering PR Maringá87020-900 Brazil Advent Health University Ahu Department of Health and Biomedical Sciences OrlandoFL32803 United States Center for Advanced Power Systems and Energy Sustainability Center Florida State University Fsu Department of Mechanical Engineering TallahasseeFL32310 United States

ISBN: (纸本)9781665465151

A mathematical model of a sustainable H2 generation reactor that utilizes aluminum and seawater is introduced. Conservation of species and the kinetics of the H2 production reaction from aluminum and seawater allowed for obtaining the process transient response in a batch reactor. Continuous steady state production was assessed by adding a balance of energy, allowing for reactants inlet mass flow rates, and calculating the outlet H2 mass flow (generation) rate. The theoretical H2 production curve data showed good quantitative and qualitative agreement with experimental data. The validated mathematical model was then used to optimize the continuous reactor. The maximum was sharp, since an 85% variation between the maximum and the smallest H2 generation rate value as a function of the inlet NaOH solution volumetric flow rate tested range was verified. Such fundamental result stresses the importance of operating the system at the optimal condition, no matter how complex the actual reactor design may be. Since aluminum is inexpensive, abundant, and fully recyclable, in situ sustainable H2 production could allow for fuel cell stacks to become all electric ships (AES) power sources. © 2023 IEEE.

关键词： Aluminum

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Facile synthesis of cobalt, nickel and manganese-based metal organic framework derived layered double hydroxides on Ni foam as effective binder-free electrodes of energy storage devices

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Journal of Energy Storage 2024年 78卷

作者： Kuo, Tsung-Rong Huang, Jing-Mei You, Xiang-Yu Subbiramaniyan, Kubendhiran 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 Ouagadougou03 Burkina Faso Gingen technology Co. LTD. Rm. 7 10F. No.189 Sec. 2 Keelung Rd. Xinyi Dist. Taipei11054 Taiwan

Metal organic framework (MOF) derivatives have attracted intensive attention as the active material of energy storage devices. Layered double hydroxide (LDH) with large surface area, high redox capability and good cycling stability is regard as one of efficient active materials. Developing MOF-derived LDH with multiple metals can possibly achieve excellent surface properties, high electrical conductivity and abundant redox reactions. However, synthesizing MOF-derived LDH is time-consuming and requires high temperature environments. In this work, a simple and time-effective precipitation and etching process is proposed to synthesize MOF-derived LDH on nickel foam (NF) as binder-free electrodes of energy storage devices. The cobalt, nickel and manganese are utilized to design MOF-derived LDH with different metal species and numbers. The trimetallic MOF-derived LDH based on Co, Ni and Mn presents a high specific capacitance (CF) of 1113.7 F/g at 20 mV/s, due to abundant electroactive sites and multiple redox states for carrying out large numbers of redox reactions. The energy storage device composed of the trimetallic MOF-derived LDH and carbon on NF as electrodes presents the maximum energy density of 61.5 Wh/kg at the power density of 750 W/kg, and the CF retention of 92.5% and Coulombic efficiency of 95% after 10,000 charge/discharge cycles. © 2023 Elsevier Ltd

关键词： Electrodes

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