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Highly sensitive and selective chemiresistive sensor for detection of carbon monoxide based on iron substituted octaethylporphyrin-functionalized reduced graphene oxide

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Chemical Physics 2024年 580卷

作者： Bodkhe, Gajanan A. Shirsat, Ashutosh Hianik, Tibor Kim, Myunghee Shirsat, Mahendra D. Department of Food Science and Technology Yeungnam University Gyeongsangbuk-do Gyeongsan 38541 South Korea Department of Materials Science and Engineering National Taiwan University of Science and Technology Taipei City 106 Taiwan Department of Nuclear Physics and Biophysics Faculty of Mathematics Physics and Informatics Comenius University Bratislava 842 48 Slovakia RUSA Centre for Advanced Sensor Technology Department of Physics Dr Babasaheb Ambedkar Marathwada University MS Aurangabad 431 004 India

We report an ultrasensitive and selective carbon monoxide (CO) chemiresistive sensor based on iron-octaethylporphyrin (FeOEP)-functionalized reduced graphene oxide (rGO) (rGO/FeOEP). The graphene oxide (GO) was synthesized using Hummers’ improved method and was thermally reduced to obtain rGO, which was then drop-cast onto copper electrodes on a glass substrate. The sensors based on rGO/OEP and rGO/FeOEP were prepared by functionalizing rGO with OEP and FeOEP, respectively. GO, rGO, and rGO/FeOEP were characterized using various techniques such as Fourier transform infrared spectroscopy, UV–visible spectroscopy, Raman spectroscopy, X-ray diffraction, current–voltage characteristics, and scanning electron microscopy. The rGO/FeOEP-based sensor exhibited a superior sensing performance in the chemiresistive modality, with response and recovery times of 55 s and 120 s, respectively. The rGO/FeOEP sensor exhibited high sensitivity, selectivity, stability, repeatability, and reproducibility for CO, with a limit of detection of 1 ppm, which is far below the permissible exposure limit suggested by the Occupational Safety and Health Administration, USA. © 2023 Elsevier B.V.

关键词： Carbon monoxide Chemiresistive sensor Free base octaethylporphyrin Graphene oxide Iron substituted octaethylporphyrin Reduced graphene oxide

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Stretchable graded multichannel self-powered respiratory sensor inspired by shark gill

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Fundamental Research 2022年第4期2卷 619-628页

作者： Yang Zou Yansong Gai Puchuan Tan Dongjie Jiang Xuecheng Qu Jiangtao Xue Han Ouyang Bojing Shi Linlin Li Dan Luo Yulin Deng Zhou Li Zhong Lin Wang School of Life Science Institute of Enginering MedicinBejing Institute of TechnologyBejing 10oo81China CAs Center for Excellence in Nanoscience Bejing Key Laboratory of Micro-Nano Energy and SensorBejing Instute of Nanoenergy and NanosystemsChinese Acadermy of SciencesBeijing 101400China Center on Nanoenergy Research School of Chemistry and Chemical Engineering School of Physical Science and TechnologyGuangxi UniversiyNanning 53004China Key Laboratory for Biomechanics and Mechanobiology of Chinese Education Ministry Bejing Advanced Inovation Centre for Biomedical Engieering School of Biological Science and Medical EngineringBeihang UniversityBejing 100083China School of Nanoscience and Technology Universiy of Chinese Academy of ScienesBejing 100049China

Respiratory sensing provides a simple,non-invasive,and efficient way for medical diagnosis and health monitoring,but it relies on sensors that are conformal,accurate,durable,and sustainable ***,a stretchgll structure can convert transverse elastic deformation into longitudinal elastic deformation during ***,multichannel respiratory sensor inspired by the structure of shark gill cleftis *** bionic shark Combining the optimized bionic shark gll structure with the piezoelectric and the triboelectric effect,the bionic shark gill respiratory sensor(BSG-RS)can produce a graded electrical response to different tensile *** on this feature,BSG-RS can simultaneously monitor the breathing rate and breathing depth of the human body accurately,and realize the effective recognition of the different human body's breathing state under the supporting software,With good stretchability,wearabilit,acuracy,and long-term stability(50,0oo cycles),BSG-RS is expected to be applied as self-powered smart wearables for mobile medical diagnostic analysis in the future.

关键词： Bionic Sharkgill Graded Multichannel Respiratory sensing

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Testing the cosmic distance duality relation using Type Ia supernovae and radio quasars through model-independent methods

arXiv

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arXiv 2024年

作者： Yang, Fan Fu, Xiangyun Xu, Bing Zhang, Kaituo Huang, Yang Yang, Ying Department of Physics Key Laboratory of Intelligent Sensors and Advanced Sensor Materials Hunan University of Science and Technology Hunan Xiangtan411201 China School of Electrical and Electronic Engineering Anhui Science and Technology University Anhui Bengbu233030 China Department of Physics Anhui Normal University Anhui Wuhu241000 China

In this work, we perform a cosmological-model-independent test on the cosmic distance duality relation (CDDR) by comparing the angular diameter distance (ADD) obtained from the compact radio quasars (QSOs) with the luminosity distance (LD) from the Pantheon Type Ia supernovae (SNIa) sample. The binning method and Artificial Neural Network (ANN) are employed to match ADD data with LD data at the same redshift, and three different parameterizations are adopted to quantify the possible deviations from the CDDR. We initially investigate the impacts of the specific prior values for the absolute magnitude MB from SNIa and the linear size scaling factor l from QSOs on the CDDR test, demonstrating that these prior values introduce significant biases in the CDDR test. To avoid the biases, we propose a method independent of MB and l to test CDDR, which treats the fiducial value of a new variable κ ≡ 10 5 l as a nuisance parameter and MB then marginalize its impact with a flat prior in the statistical analysis. The results show that the CDDR is consistent with the observational data, and QSOs can serve as a powerful tool for testing the CDDR independent of cosmological models. © 2024, CC BY.

关键词： Supernovae

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Volcano-structured Double-gated Field Emitter Arrays;Emission Characteristics and Applications

Volcano-structured Double-gated Field Emitter Arrays;Emissio...

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International Conference on Vacuum Electronics

作者： Hidenori Mimura Yoichiro Neo Masayoshi Nagao Kunio Tsutaki Yoshihiro Kajikawa Takatsugu Munehiro Research Institute of Electronics Shizuoka Uiversity Hamamatsu Japan National Institute of Advanced Industrial Science and Technology Tsukuba Japan Microwave Tubes Division NEC Network and Sensor Systems Ltd. Sagamihara Japan

Volcano-structured double-gated field emitter arrays (VDG-FEAs) have realized both highly focusing electron beam and high emission current. The prototype image sensor using Spindt-type VDG-FEA has obtained a reproduced image with uniform image intensity without magnetic focusing. we describe a compact image sensor using the VDG-FEA. We are developing a 300 GHz band traveling wave tube (TWT) using a thermal cathode. We believe that the VDG-FEA is a promising cathode for the 300 GHz TWT in the future.

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A Web-Based Campus Navigation System with Mobile Augmented Reality Intervention

A Web-Based Campus Navigation System with Mobile Augmented R...

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2021 Asian Conference on Intelligent Computing and Data Sciences, ACIDS 2021

作者： Nordin, Noradila Markom, Marni Azira Suhaimi, Farhana Aqilah Ishak, Syaimaa' School of Computing Universiti Utara Malaysia SintokKedah06010 Malaysia Advanced Sensor Technology Center of Excellence Universiti Malaysia Perlis Kampus Pauh Putra Perlis Arau02600 Malaysia

In this era of information technology, the introduction of new and greatly improved technologies is becoming vital especially with the progressive development of computing power to fulfill current technological needs. Augmented Reality (AR) is a part of the emerging technologies that are gaining great attention and interest with new and better innovations being developed. AR is an immersive technology where it complements real-world objects together with computer-generated objects to give more details and meaning to the objects in the real world. AR has been successfully growing nowadays in many industries, mainly in gaming and entertainment, education and navigation. However, AR has not been standardized and to be widely used in navigation systems even though there are many applications developed for this purpose. This paper proposed a web-based AR-UUM Campus Navigation System using ARToolKit, that is accessible via mobile devices that uses AR to overlay the information as images of the searched location on campus, especially for indoor navigations for lecture halls, tutorial rooms, laboratories, and offices which rarely are covered by the normal maps. Based on the respondents' evaluation, they managed to successfully interact with the AR-UUM Campus Navigation System, however, some improvements are required in terms of the functions expected from the system. Nevertheless, the use of AR in a navigation system shows promising results and has the potential to be widely used due to high interest in augmented reality. © Published under licence by IOP Publishing Ltd.

关键词： Augmented reality

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Chemiresistive and chem-FET sensor: π-d conjugated metal-organic framework for ultra-sensitive and selective carbon monoxide detection

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Synthetic Metals 2023年 296卷

作者： More, Mayuri S. Bodkhe, Gajanan A. Singh, Fouran Dole, Babasaheb.N. Tsai, Meng-Lin Hianik, Tibor Shirsat, Mahendra D. RUSA Center for Advanced Sensor Technology Department of Physics Dr. Babasaheb Ambedkar Marathwada University Maharashtra Aurangabad431 004 India New Delhi 110 067 India Department of Food Science and Technology Yeungnam University Gyeongsangbuk-do Gyeongsan38541 Korea Republic of 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

Π-d conjugated conductive coordination polymers (CCP) are an emerging class of materials that constitutes MOFs unique properties such as porosity and stability with electrical charge transport properties. The structural diversity and tunability of MOFs allow its application in electronics and selective gas sensing. This report deals with a reliable synthesis of room temperature (28 °C) conductive π-d conjugated metal-organic framework composed of Zn metal node and 3,6,7,10,11-hexahydroxytriphenylene (HHTP) organic ligand and its application in chemiresistive and Chem-FET sensing modality. The nature of as-synthesized MOF multiparametrically tested by X-ray diffraction (XRD), Fourier transform infrared (FTIR) spectroscopy, Uv-visible spectroscopy, energy dispersive spectroscopy (EDS), atomic force microscopy (AFM), Field emission scanning electron microscopy (FE-SEM), BET surface area analyzer, and current-voltage (I-V) characteristics for its structural, spectroscopic, elemental, morphological, surface and electrical properties respectively. Zinc-hexahydroxytriphenylene (Zn-HHTP) sensor was prepared on interdigitated electrodes on Si/SiO2 substrate, which was fabricated by photolithography process and tested for both chemiresistive and Chem-FET sensing modalities. Zn-HHTP sensor showed the highest selectivity, excellent sensitivity, stability, and fastest response among all reported carbon monoxide sensors in both modalities. Multivariate analysis was carried out using principal component analysis (PCA) which reveals high discriminating capability of Zn-HHTP sensor towards NH3, SO2 and CO. © 2023 Elsevier B.V.

关键词： Scanning electron microscopy

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Comparative Study on Evaluating the Performance of Automated Bacterial Colony Counting with Available APP and Software on Generated Image Dataset

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SN Computer Science 2025年第4期6卷 1-16页

作者： Arora, Prachi Tewary, Suman Krishnamurthi, Srinivasan Kumari, Neelam School of Computing Indian Institute of Information Technology Una (IIIT-Una) Una 177209 India Academy of Scientific and Innovative Research (AcSIR) Ghaziabad 201002 India Thin Film Coating Facility CSIR-Central Scientific Instruments Organisation (CSIR-CSIO) Sector 30-C Chandigarh 160030 India Materials Science and Sensor Applications CSIR-Central Scientific Instruments Organisation (CSIR-CSIO) Sector 30-C Chandigarh 160030 India Advanced Materials and Processes Division CSIR-National Metallurgical Laboratory (CSIR-NML) Jamshedpur 831007 India MTCC-Gene bank CSIR-Institute of Microbial Technology (CSIR-IMTECH) Sector 39-A Chandigarh 160039 India

Recent developments in image analysis and interpretation using computer vision techniques have shown potential for novel applications in microbiology laboratories to support the task of automation, aiming for faster and more reliable detection. Image processing techniques and machine learning models can be valuable tools in the screening process, helping technicians spend less time classifying no-growth results and quickly separating the categories for further analysis. In this context, creating a dataset of different bacterial strain images is a fundamental objective for developing and improving the accuracy of image processing models. Therefore, this manuscript acquired a dataset of water samples with different bacterial strain images on a petri dish following a standardized process with controlled conditions of positioning and lighting. The image acquisition device was also developed with a light-emitting diode (LED) and diffuser as a lighting source and a smartphone camera with 16 MP resolution. In addition, the present manuscript also focuses on comparing the accuracy of the proposed algorithm with the available apps and software using the custom-built imaging device. Hence, the resulting dataset consists of 100 images, which is helpful for researchers working in image processing to develop an algorithm for automated counting of bacterial colonies on petri dishes. © The Author(s), under exclusive licence to Springer Nature Singapore Pte Ltd. 2025.

关键词： Bacterial colonies Image datasets Image processing Imaging device Segmentation Water samples

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Polycaprolactone assisted electrospinning of honey/betel with chitosan for tissue engineering

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Materials Today: Proceedings 2022年 57卷 307-315页

作者： Adhikari, Jaideep Ghosh, Manojit Das, Pratik Basak, Piyali Saha, Prosenjit School of Advanced Materials Green Energy and Sensor Systems Indian Institute of Engineering Science and Technology Shibpur West Bengal Howrah 711103 India Department of Metallurgy and Materials Engineering Indian Institute of Engineering Science and Technology Shibpur West Bengal Howrah 711103 India School of Bioscience and Engineering Jadavpur University 188 Raja S.C. Mullick Road West Bengal Kolkata 700032 India JIS University Arch Water Front Building Salt Lake City West Bengal Kolkata 700091 India

Electrospinning produces nanofibrous scaffolds, and the diameter of the nanofibers can be altered by tailoring the electrospinning parameters. Honey, betel loading on polymeric scaffolds has been used in tissue engineering applications. However, there are not many reports on electrospinning using betel extracts. In this study, electrospinning parameters for both honey/betel-loaded scaffolds have been optimized with 12% w/v polycaprolactone (PCL) solution. Further, electrospinning has been carried out by mixing the optimized honey/betel-loaded PCL solutions with a 2% w/v solution of chitosan in a 2:7 ratio. The results were also compared with the base CS/PCL scaffold. A solution of formic acid and acetone in the ratio of 4:6 was used for dissolving CS and PCL. The electrospinning parameters have been optimized for the static collector plate. Glutaraldehyde vapor crosslinking has been carried out on all the scaffolds utilizing the Schiff base reaction with an amine. Scanning electron microscopy (SEM) images revealed beadless, random oriented fibers for the optimized scaffolds. Attenuated Total Reflectance-Fourier transform infrared spectroscopy (ATR-FTIR) has been performed on the scaffolds to identify the functional groups. The effect of glutaraldehyde crosslinking was not vivid through the FTIR study, and Differential scanning calorimetry (DSC) measurements were conducted in this regard. Enhancement in the melting point observed through DSC confirms the successful crosslinking. Contact angle measurement highlighted that honey-loaded scaffolds exhibited more hydrophilicity than betel-loaded scaffolds. Tensile strength measurement and water degradation studies have also been performed on the scaffolds. In vitro cell viability studies have been carried out with MTT assay utilizing Peripheral blood mononuclear cells (PBMCs). The scaffolds displayed excellent cell viability after 24 and 48 h. Hemocompatibility studies further identified its potential as tissue-engineered

关键词： Electrospinning

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Optimal Designing of Grid-Connected Hybrid Renewable Model Using Harmony Search Algorithm

Optimal Designing of Grid-Connected Hybrid Renewable Model U...

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2022 IEEE Silchar Subsection Conference, SILCON 2022

作者： Mishra, Shubhangi Saini, Gaurav Chauhan, Anurag Sinha, Sunanda Indian Institute of Engineering Science and Technology Shibpur School of Advanced Materials Green Energy and Sensor System West Bengal Howrah India Harcourt Butler Technical University Department of Mechanical Engineering Kanpur India Rajkiya Engineering College Banda Department of Electrical Engineering Uttar Pradesh India Malaviya National Institute of Technology Jaipur Centre for Energy & Environment Rajasthan 302017 India

ISBN: (纸本)9781665471008

The hybrid renewable energy system needs to be sufficiently developed in the future such that the shortening of fossil fuels does not affect the economic growth of the world. However, the uncertainty and intermittency of these resources make it necessary to have an energy storage system. In the present scenario, storage systems are expensive and hence it is always advisable to perform optimal sizing of such systems. This will improve the efficiency and utilization of the system. Under the present work, the optimal sizing of a grid-connected hybrid renewable energy system is performed. The model proposed includes biomass, solar, grid, and battery as storage, and evaluation is carried out based on the technical and economical parameters for the rural site of Madhya Pradesh. For this purpose, the discrete harmony search algorithm is applied to minimize the total annualized cost of the system. For the optimal contribution of each resource, two resource scenario is analyzed here and, further results are validated using the particle swarm algorithm (PSO). The optimal model has 33.75 kW solar PV, biomass of 30 kW, battery of 98.4 kW, and the system is connected to the grid. The total annualized cost obtained for the best case is Rs 6.58 million and the cost of energy is Rs 4.85/kWh. © 2022 IEEE.

关键词： Fossil fuels

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Cycling performance prediction based on cadence analysis by using multiple regression 7

Cycling performance prediction based on cadence analysis by ...

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7th International Conference on Man Machine Systems, ICoMMS 2021

作者： Sudin, Sukhairi Aziz, Azizi Naim Abdul Saad, Fathinul Syahir Ahmad Khalid, Nurul Syahirah Ibrahim, Ismail Ishaq Faculty of Electrical Engineering Technology Universiti Malaysia Perlis Kampus Pauh Putra Arau Perlis 02600 Malaysia Centre of Excellence for Advanced Sensor Technology Universiti Malaysia Perlis Kompleks Pengajian Jejawi 2 Arau Perlis 02600 Malaysia

This project examined the influence of the cadence, speed, heart rate and power towards the cycling performance by using Garmin Edge *** change in cadence will affect the speed, heart rate and power of the novice cyclist and the changes pattern will be observed through mobile devices installed with Garmin Connect application. Every results will be recorded for the next task which analysis the collected data by using machine learning algorithm which is Regression analysis. Regression analysis is a statistical method for modelling the connection between one or more independent variables and a dependent (target) variable. Regression analysis is required to answer these types of prediction problems in machine learning. Regression is a supervised learning technique that aids in the discovery of variable correlations and allows for the prediction of a continuous output variable based on one or more predictor variables. A total of forty days' worth of events were captured in the dataset. Cadence act as dependent variable, (y) while speed, heart rate and power act as independent variable, (x) in prediction of the cycling performance. Simple linear regression is defined as linear regression with only one input variable (x). When there are several input variables, the linear regression is referred to as multiple linear regression. The research uses a linear regression technique to predict cycling performance based on cadence analysis. The linear regression algorithm reveals a linear relationship between a dependent (y) variable and one or more independent (y) variables, thus the name. Because linear regression reveals a linear relationship, it determines how the value of the dependent variable changes as the value of the independent variable changes. This analysis use the Mean Squared Error (MSE) expense function for Linear Regression, which is the average of squared errors between expected and real values. Value of R squared had been recorded in this project. A low R-sq

关键词： Linear regression

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