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Device Research Conference

作者： Sebastian Lukas Vikas Jangra Nico Rademacher Michael Gross Eva Desgué Maximilian Prechtl Oliver Hartwig Cormac Ó Coileáin Tanja Stimpel-Lindner Satender Kataria Pierre Legagneux Georg S. Duesberg Max C. Lemme Chair of Electronic Devices RWTH Aachen University Aachen Germany THALES R&T Palaiseau France Faculty of Electrical Engineering and Information Technology (EIT 2) Center for Integrated Sensor Systems Institute of Physics University of the Bundeswehr Munich Neubiberg Germany AMO GmbH Advanced Microelectronic Center Aachen Aachen Germany

Platinum diselenide (PtSe 2 ) is a layered two-dimensional (2D) material with outstanding electronic and piezoresistive properties [1]–[3] . It has demonstrated its potential for membrane-based pressure sensor devices, where poly(methyl methacrylate) (PMMA) supported and suspended the PtSe2 membranes [4] . The impact of the polymer support layer on the response of the suspended 2D material is still under investigation [5] . To study the strain and the piezoresistive behavior, we fabricated and analyzed devices based on suspended PtSe 2 membranes with and without polymer support.

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Ultrasensitive and Selective Electrochemical sensor Based on Yttrium Benzenetricarboxylate Porous Coordination Polymer (Y-BTC) for Detection of Pb2+ from Bio-Analytes

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ECS Journal of Solid State Science and technology 2023年第5期12卷 057002-057002页

作者： Patil, Shubham S. Deore, Kamlesh B. Narwade, Vijaykiran N. Peng, Wen Ping Hianik, Tibor Shirsat, Mahendra D. RUSA Center for Advanced Sensor Technology Department of Physics Dr. Babasaheb Ambedkar Marathwada University MS Aurangabad431 004 India Department of Physics National Dong Hwa University Shoufeng Township Hualien City Taiwan Department of Nuclear Physics and Biophysics Faculty of Mathematics Physics and Informatics Comenius University Bratislava Slovakia

Due to industrialization, the presence of heavy metal ions in various sources of drinking water causes damage to the ecosystem. Determination of heavy metal ions is still arduous due to their toxicity and carcinogenic behavior to humankind. The present investigation deals with the development of a novel ultrasensitive electrochemical sensor for the detection of lead (Pb2+) from pesticide and fruit core. Repetitive laboratory-scale aqueous samples have been tested to validate all sensing parameters, it exhibited highly selective behaviour towards Pb2+. Hydrothermally synthesized Yttrium Benzenetricarboxylate (Y-BTC) has been characterized by means of structural, morphological, electrochemical and spectroscopic characterizations and utilized as a sensing material. Y-BTC sensor’s differential pulse behavior shows affinity towards Pb2+, a detailed sensing mechanism further illustrated by XPS studies, DLS measurements, deformation studies by photoluminescence spectra, and charge transfer resistance obtained from EIS data. The developed Y-BTC sensor showcased an excellent picomolar detection limit of 1 pM. Reliability of developed sensor was confirmed by evaluation of sensitivity (4.4 μA M−1), selectivity (towards Pb2+), repeatability and reproducibility. The proposed sensor would play a vital role in monitoring human health in the upcoming days. © 2023 The Electrochemical Society ("ECS"). Published on behalf of ECS by IOP Publishing Limited.

关键词： Electrochemical sensors

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Chromium-Benzenedicarboxylates Metal Organic Framework for Supersensitive and Selective Electrochemical sensor of Toxic Cd2+, Pb2+, and Hg2+Metal Ions: Study of their Interactive Mechanism

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Journal of the Electrochemical Society 2023年第4期170卷 046505-046505页

作者： Deore, Kamlesh B. Patil, Shubham S. Narwade, Vijaykiran N. Takte, Mahesh A. Khune, Abhaysinh S. Mohammed, Hamed Y. Farea, Maamon A. Sayyad, Pasha W. Tsai, Meng-Lin Shirsat, Mahendra D. RUSA Center for Advanced Sensor Technology Department of Physics Dr Babasaheb Ambedkar Marathwada University MS Aurangabad431 004 India Department of Materials Science and Engineering National Taiwan University of Science and Technology Taipei10607 Taiwan Department of Nuclear Physics and Biophysics Faculty of Mathematics Physics and Informatics Comenius University Bratislava Slovakia

Voltammetric determination of toxic Cd2+, Pb2+, and Hg2+ metal ions using Cr-BDC/GCE (chromium-benzenedicarboxylates/ Glassy Carbon Electrode) electrochemical sensor has been investigated. Cr-BDC (chromium-benzenedicarboxylate ) metal-organic framework was synthesized by using the facile hydrothermal technique and its efficacy investigated using P-XRD, FTIR, RAMAN, AFM, FE-SEM, and BET, while the electrochemical performance was investigated by CV and EIS technique. The determination capability of Cr-BDC/GCE as an electrochemical sensor has been investigated by DPASV technique. Effective Voltammetric parameters such as pH of buffer solution, pre-accumulation potential, and pre-accumulation time have been optimized to enhance the sensitivity, selectivity, LOD, repeatability, reproducibility, and stability of the sensor. The proposed Cr-BDC/GCE electrochemical sensor exhibits a sensitivity of 16.55, 3.45, and 3.33 μA M-1 and LOD of 0.186, 0.116, and 0.124 nM for Cd2+, Pb2+ and Hg2+ ions, respectively. Moreover, the sensor exhibited good selectivity, reproducibility, repeatability and stability. The sensor also exhibited good recovery and low RSD values for actual tap water samples. Interaction mechanism of Heavy Metal Ions with the Cr-BDC/GCE evidenced by CV and FTIR confirms the surface adsorption-controlled reaction. These findings suggest that the Cr-BDC/GCE platform is well-suited to serve as a next-generation electrochemical sensor for detecting alcohol, ketone, hydrocarbons, medicines, etc. © 2023 The Electrochemical Society ("ECS"). Published on behalf of ECS by IOP Publishing Limited.

关键词： Electrochemical sensors

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[email protected] metal organic framework for selective detection of nickel ions in aqueous media

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Ceramics International 2023年第4期49卷 6772-6779页

作者： Gajanan A. Bodkhe Dhanashri D. Khandagale Mayuri S. More Megha A. Deshmukh Nikesh N. Ingle Pasha W. Sayyad Manasi M. Mahadik Sumedh M. Shirsat M.S. Al-Buriahi Meng-Lin Tsai Myunghee Kim Mahendra D. Shirsat Department of Food Science and Technology Yeungnam University Gyeongsan Gyeongsangbuk-do 38541 Republic of Korea RUSA Center for Advanced Sensor Technology Department of Physics Dr. Babasaheb Ambedkar Marathwada University Aurangabad MS 431 004 India Department of Basic & Applied Sciences MGM University Aurangabad 431003 Department of Materials Science and Engineering National Taiwan University of Science and Technology Taipei 10607 Taiwan Department of Physics Sakarya University Sakarya Turkey

Monitoring heavy metal ions (HMIs) in water is always a challenging and vital issue due to their hazardous effects on the environment and human health. Therefore, it is necessary to detect heavy metals in the water. Herein, we first-time report the use of silver nanoparticles (Ag NPs) incorporated copper benzene carboxylate (MOF-199) metal organic framework ( [email protected] ) for detection of heavy metal ions in water. A glassy carbon electrode-modified [email protected] electrochemical sensor probe was fabricated and showed a selective and sensitive response towards nickel (Ni(II)) ions only by cyclic voltammetry . The [email protected] sensor did not offer any cyclic voltammetric sensing response towards cadmium (Cd(II)), lead (Pb(III)), chromium (Cr(III)), and ferric (Fe(III)) ions (1 μM/L) at pH values ranging from 3 to 10. The [email protected] sensor displayed high sensitivity of 1.48 μA/nM on the exponential scale for Ni(II) ions at pH 7 and a lower detection limit of 6.06 nM/L with good reproducibility below US EPA suggested maximum contamination limit. The synthesized [email protected] was characterized by spectroscopic (viz. UV–visible spectroscopy, Raman spectroscopy and mapping, energy dispersive spectroscopy (EDS), Fourier transform infrared (FTIR) spectroscopy), surface area (viz. Brunauer–Emmett-Teller surface area analysis), electrochemical activity (viz. cyclic voltammetry, electrochemical impedance spectroscopy), morphological (viz. field emission scanning electron microscopy (FE-SEM)), structural (viz. X-ray diffraction (XRD)), and thermogravimetric analysis.

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Self-Healable, Super-Stretchable and Shape-Adaptive Triboelectric Nanogenerator Based on Double Cross-Linked Pdms for Electronic Skins

SSRN

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SSRN 2022年

作者： Cai, Ya-Wei Wang, Gui-Gen Mei, Yi-Cheng Zhao, Da-Qiang Peng, Jia-Jian Sun, Na Zhang, Hua-Yu Han, Jie-Cai Yang, Ya Shenzhen Key Laboratory for Advanced Materials School of Materials Science and Engineering Harbin Institute of Technology Shenzhen518055 China Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-nano Energy and Sensor Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing101400 China National Key Laboratory of Science and Technology on Advanced Composites in Special Environments Harbin Institute of Technology Harbin150080 China School of Nanoscience and Technology University of Chinese Academy of Sciences Beijing100049 China

Self-powered triboelectric nanogenerators (TENG) have shown great potential in the field of electronic skin (E-skin). However, TENG is vulnerable to damage by frequent mechanical impacts during operation. In this work, a self-healable (≤ 2 h), super-stretchable (> 760%) and shape-adaptive TENG was designed as an E-skin to harvest energy and monitor human motion. The triboelectric layer is self-healing double-crosslinked polydimethylsiloxane (PDMS) prepared by adjusting the ratio of imine bonds to hydrogen bonds (H-bonds). The electrode layer is self-healable conductive composite prepared via the formation of H-bonds between MXene and lightly cross-linked PDMS. This TENG can be perfectly attached to the uneven human skin surface due to shape adaptability and can maintain original triboelectric performance after repeated damage. Also, our TENG can switch freely between single sensor and sensor arrays due to high self-healing efficiency, suggesting promising applications in E-skin and wearable device. © 2022, The Authors. All rights reserved.

关键词： Nanogenerators

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Improved Particle Swarm Optimization Algorithm for EIT Image Reconstruction

Improved Particle Swarm Optimization Algorithm for EIT Image...

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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Oumayma Kahouli Mariem Hafsa Hiba Hellara Imed Eddine Bennour Najoua Essoukri Ben Amara Olfa Kanoun Department of Computer Science National Engineering School of Sousse University of Sousse Sousse Tunisia Laboratory of Advanced Technology and Intelligent Systems National Engineering School of Sousse Laboratory of Measurement and Sensor Technology Technische Universität Chemnitz Chemnitz Germany Laboratory of Signals Systems Artificial Intelligence and Networks Digital Research Center of Sfax University of Sfax Tunisia

Electrical Impedance Tomography (EIT) is a clinical imaging technique that gained a lot of attention because it is a non-invasive and radiation-free method. To obtain an inner image of the domain under study, a specific number of electrodes is attached to the surface of the object, then through a pair of electrodes, a low alternative current is injected. Potentials produced by this injection are measured with the remaining electrodes. Based on these boundary voltages measurements, the inner conductivity can be inferred, thus the image is reconstructed. The focus of this paper is to overcome the major weakness of the EIT image reconstruction technique, which is the low spatial resolution of the reconstructed images caused by the non-linearity of EIT inverse problem. This paper considers this problem, an optimization problem that is solved using the Particle Swarm Optimization (PSO) meta-heuristic. A variant of the standard PSO is proposed and validated, first on a circular mesh composed of 686 triangles then on a lung mesh composed of 2707 triangles.

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lednet: A lightweight encoder-decoder network for real-time semantic segmentation

arXiv

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arXiv 2019年

作者： Wang, Yu Zhou, Quan Liu, Jia Xiong, Jian Gao, Guangwei Wu, Xiaofu Latecki, Longin Jan National Engineering Research Center of Communications and Networking Nanjing University of Posts & Telecommunications China Key Lab. of Broadband Wireless Communications and Sensor Network Technology Nanjing University of Posts & Telecommunications China Institute of Advanced Technology Nanjing University of Posts & Telecommunications China Department of Computer and Information Sciences Temple University Philadelphia United States

The extensive computational burden limits the usage of CNNs in mobile devices for dense estimation tasks. In this paper, we present a lightweight network to address this problem, namely LEDNet, which employs an asymmetric encoder-decoder architecture for the task of real-time semantic segmentation. More specifically, the encoder adopts a ResNet as backbone network, where two new operations, channel split and shuffle, are utilized in each residual block to greatly reduce computation cost while maintaining higher segmentation accuracy. On the other hand, an attention pyramid network (APN) is employed in the decoder to further lighten the entire network complexity. Our model has less than 1M parameters, and is able to run at over 71 FPS in a single GTX 1080Ti GPU. The comprehensive experiments demonstrate that our approach achieves state-of-the-art results in terms of speed and accuracy trade-off on CityScapes dataset. Copyright © 2019, The Authors. All rights reserved.

关键词： Semantic Segmentation

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Adaptive Stimulation Profiles Adjustment of Functional Electrical Stimulation for Foot Drop Based on Iterative Learning Control

Adaptive Stimulation Profiles Adjustment of Functional Elect...

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International Conference on advanced Robotics and Mechatronics (ICARM)

作者： You Li Qinlian Yang Peng Fang Rong Song School of Biomedical Engineering Shenzhen Campus of Sun Yat-sen University Shenzhen Guangdong China Guangdong Provincial Key Laboratory of Sensor Technology and Biomedical Instrument Sun Vat-Sen University Guangzhou Guangdong China Research Center for Neural Engineering Shenzhen Institutes of Advanced Technology (SIAT) Chinese Academy of Sciences (CAS) Shenzhen Guangdong China

Functional electrical stimulation (FES) offers an effective approach for foot drop (FD) correction by artificially contracting the tibialis anterior (TA) muscle. The majority of current FES systems employ predetermined stimulation parameters and stimulation profiles, which cannot improve gait performances well considering significant time-variance and individuality of muscle response dynamics under electrical stimulation. To mitigate these challenges, this article proposes a model-based closed-loop control scheme to achieve adaptive adjustment of stimulation intensity profiles using Norm-optimal iterative learning control (NOILC). Firstly, a dynamic model for ankle joint utilizing a Hammerstein structure for subject-specific is developed, as well as the parameters identification. Then, a closed-loop controller based on NOILC is designed to allow tracking of desired trajectory of ankle joint angle for foot drop correction according to FES-induced foot motion. Finally, computer simulation tests are performed and verify that the proposed control method can achieve a good tracking performance through adaptive modulation of stimulation intensity profile, and it is consistent with the physiological characteristics of foot motion.

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Effect of poly ethylene glycol (PEG) on structural, thermal and photoluminescence properties of CdO nanoparticles for optoelectronic applications 1

Effect of poly ethylene glycol (PEG) on structural, thermal ...

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1st International Conference on Nanoscience and Nanotechnology, ICNAN 2016

作者： Lokanatha Reddy, P. Deshmukh, Kalim Chidambaram, K. Ahamed, Basheer Sadasivuni, Kishor Kumar Ponnamma, Deepalekshmi Lakshmipathy, Rajasekhar Dayananda, Desagani Khadheer Pasha, S.K. Sensor Laboratory Materials Physics Division School of Advanced Sciences VIT University Vellore Tamil Nadu632014 India Department of Physics B.S. Abdur Rahman University Chennai600 048 India Mechanical and Industrial Engineering Department Qatar University P.O. Box 2713 Doha Qatar Center for Advanced Materials Qatar University P.O. Box 2713 Doha Qatar Centre for Material Science KCG College of Technology Chennai Tamil Nadu India Department of SSCU IISC Bangalore Karnataka560012 India Department of Physics VIT-AP University Amaravati Campus Andhra Pradesh Guntur522501 India

Current study deals with capped/uncapped Cadmium Oxide Nanoparticles (CdO NPs) synthesized by chemical precipitation technique. Structural, morphological, thermal and optical properties of these samples were investigated by XRD, TGA, TEM and PL spectra. XRD revealed the face centered cubic structure of CdO which was depicted at 400 °C for both samples. The calculated XRD values were in good consistent with the predicted values of TEM analysis and also with Thermogravimetric analysis. Intense emission peaks at 474 nm and 615 nm were observed in PL spectra at 325 nm excitation wavelengths in uncapped CdO NPs, while capped CdO NPs showed peaks with less intensity. These emissions may be due to the indirect near band gap emission and excitonic transition of CdO NPs. Hence based on these results it could be concluded that capping agent (PEG) tuned CdO NPs can be used for optoelectronic device applications. © 2019 Elsevier Ltd. All rights reserved. Selection and/or Peer-review under responsibility of International Conference on Nanoscience and Nanotechnology (ICNAN'16)

关键词： Nanoparticles

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One-Step Coaxial Spinning of Core-Sheath Hydrogel Fibers for Stretchable Ionic Strain sensors

SSRN

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SSRN 2022年

作者： Wu, Hui Wang, Lin Lou, Hengyi Wan, Junmin Pu, Xiong National Engineering Lab of Textile Fiber Materials & Processing Technology Zhejiang Sci-Tech University Hangzhou310018 China CAS Center for Excellence in Nanoscience Beijing Key Laboratory of Micro-Nano Energy and Sensor Beijing Institute of Nanoenergy and Nanosystems Chinese Academy of Sciences Beijing101400 China Key Laboratory of Advanced Textile Materials and Manufacturing Technology

High-strength, highly conductive, and stretchable conductive fibers are essential for the development of flexible electronic devices. Here, we develop a continuous coaxial wet-spinning method to fabricate stretchable, conductive, and freeze-resistant hydrogel fibers with a core-sheath structure. The core is a supramolecular hydrogel, poly (APhe-AAm) (PAA), obtained by radical polymerization of acrylamide (AAm) and acryloyl-L-phenylalanine (APhe), and the sheath consists of PVDF-HFP and PU with hydrochloric acid as the coagulation bath. The hydrogel fibers exhibit excellent mechanical properties with a tensile strength of 3.1 MPa and elongation at a break of 750% due to the abundant multi-hydrogen bonding interactions. Hydrochloric acid plays two roles in this system: one is to promote hydrogen bond formation and improves mechanical properties, and the other is to provide plentiful ions to confer excellent electrical conductivity (10.59 S m-1) and freezing resistance (-20 oC). The application of fiber strain sensors for detecting human motion and pressure sensing demonstrates great potential as wearable electronic devices. © 2022, The Authors. All rights reserved.

关键词： Temperature

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