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Simultaneous quantification of trace heavy metals in mushrooms using a three-dimensional highly reduced graphene oxide/Fe3O4 nanocomposite-based electrochemical sensor

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Food Science and Human Wellness 2024年

作者： Yiming Tian Pingsheng Zhong Kai Zhou Lufei Zheng Jiali Ren Hunan Key Laboratory of Forestry Edible Resources Safety and Processing， Hunan Key Laboratory of Grain-oil Deep Process and Quality Control， Central South University of Forestry and Technology Institute of Quality Standard and Testing Technology for Agro-Products of CAAS

The accumulation of heavy metals in mushrooms has presented a significant risk to human health， underscoring the importance of devising a portable and cost-effective method for detecting heavy metals. Thus， we have developed an electrochemical sensor based on 3-dimensional highly reduced graphene oxide (3D-HRGO) in conjunction with Fe3O4nanoparticles， enabling the simultaneous quantification of Cd2+， Pb2+， Cu2+， and Hg2+. The 3D-HRGO/Fe3O4nano-particles material prepared in this study was characterized and confirmed by multiple techniques， then dispersed in a simple and environmental dispersant， consist of 75% ethanol and 0.1% Nafion， and coating on a glass carbon electrode (GCE) to preparing a 3D-HRGO/Fe3O4/GCE sensor. The limit of detection (LOD) of 3D-HRGO/Fe3O4/GCE sensor for Cd2+， Pb2+， Cu2+， and Hg2+in simultaneous detection were 0.2 μg/L， 0.6 μg/L， 0.6 μg/L， and 0.9 μg/L， respectively. The sensor demonstrates exceptional stability， reproducibility， anti-interference， and recovery rate. Furthermore， the electrochemical sensor was employed to detect heavy metals in actual mushrooms and validated through conventional methodologies. This study represents the pioneering utilization of 3D-HRGO/Fe3O4as a foundational material for an electrochemical sensor capable of simultaneous detection of multiple metals， thereby advancing the progress of on-site and expeditious detection techniques.

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Optimization of phase correction method based on multi frequency heterodyne principle

Optimization of phase correction method based on multi frequ...

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2023 International Conference on Optics and Machine Vision, ICOMV 2023

作者： WenZhe, Zou YaoQiong, Shen YuQing, Guan LiQin, Liu YunXia, Fu LiHua, Lei Shanghai Institute of Measurement and testing Technology Shanghai201203 China Shanghai Key Laboratory of Online Test and Control Technology Shanghai201203 China

ISBN: (纸本)9781510664777

A phase correction method based on multi frequency heterodyne principle is proposed for the phase jump error caused by multi frequency heterodyne phase solution. The traditional phase shifting method and multi frequency heterodyne are used to calculate the wrapping phase and the unwrapping phase. Aiming at the jump error in the unwrapping phase, the unwrapping phase is used to locate the error position. The wrapping phase is used as a reference to correct the position of the positioning error to obtain a new unwrapping phase. The experimental results show that under the optimization method, this method can effectively judge the jump, and obtain the unwrapping phase without jump error after eliminating the jump, which greatly improves the unwrapping accuracy and accuracy of the fringe pattern after phase unwrapping. © 2023 SPIE. All rights reserved.

关键词： Error correction

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Analysis of the impact of IoT technology on marine salt spray particle detection and environmental protection equipment

Journal of Biotech Research

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Journal of Biotech Research 2025年 20卷 13-25页

作者： Mu, Xianlian Gu, Zebo Li, Bin Dai, Xingxue Zhu, Chen School of Aeronautics Northwestern Polytechnical University Shaanxi Xi’an China China Special Vehicle Research Institute Key Laboratory of Corrosion Protection and Control of Aviation Technology Hubei Jingmen China CVC Testing Technology Co. Ltd. Guangdong Guangzhou China

In the marine environment, salt spray particles are defined as sea salt particles that are carried by tiny salt particles suspended in seawater. These particles are formed under the action of wind and constitute a component of marine meteorological phenomena, exerting a significant influence on marine ecology and human activities. In recent years, with the continuous promotion of the national marine strategy, the efficient operation and equipment safety of marine equipment have gradually received attention. In response to the problem of insufficient accuracy and real-time monitoring of salt spray particles in the marine environment, this study proposed a marine salt spray particle detection scheme based on Internet of Things technology and an improved YOLOv5l algorithm. By introducing spatial-to-depth convolution modules and convolutional block attention modules, the accuracy and robustness of the detection model had been significantly improved. The results showed that the model achieved excellent performance in terms of mean square error, root mean square error, and mean absolute error indicators as 0.000052, 0.0052, and 0.0011, respectively. The proposed model was superior to comparative algorithms of You Only Look Once-Gaussian Soft Selection and You Only Look Once-Convolutional Block Attention Module. The diagnostic accuracy of the proposed model was 92% with an interference capability of 36 dB, a sensitivity of 550 mV, and satisfactory real-time performance. The results indicated that the proposed model effectively improved the accuracy and real-time performance of marine salt spray particle detection, which was meaningful for improving the safe operation of marine equipment. © (2025), (Bio Tech System). All rights reserved.

关键词： Drug products

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Coal rock image recognition method based on improved CLBP and receptive field theory

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Deep Underground Science and Engineering 2022年第2期1卷 165-173页

作者： Chuanmeng Sun Ruijia Xu Chong Wang Tiehua Ma Jiaxin Chen State Key Laboratory of Dynamic Testing Technology TaiyuanShanxiChina School of Electrical and Control Engineering North University of ChinaTaiyuanShanxiChina

Rapid coal-rock identification is one of the key technologies for intelligent and unmanned coal ***,the existing image recognition algorithms cannot satisfy practical needs in terms of recognition speed and *** view of the evident differences between coal and rock in visual attributes such as color,gloss and texture,the complete local binary pattern(CLBP)image feature descriptor is introduced for coal and rock image *** that the original algorithm oversimplifies local texture features by ignoring imaging information from higher-order pixels and the concave and convex areas between adjacent sampling points,this paper proposes a higher-order differential median CLBP image feature descriptor to replace the original CLBP center pixel gray with a local gray median,and replace the binary differential with a second-order ***,for the high dimensionality of CLBP descriptor histogram and feature redundancy,deep learning perceptual field theory is introduced to realize data nonlinear dimensionality reduction and deep feature *** relevant experiments conducted,the following conclusion can be drawn:(1)Compared with that of the original CLBP,the recognition accuracy of the improved CLBP algorithm is greatly improved and finally stabilized above 94.3%under strong noise interference;(2)Compared with that of the original CLBP model,the single image recognition time of the coal rock image recognition model fusing the improved CLBP and the receptive field theory is 0.0035 s,a reduction of 71.0%;compared with the improved CLBP model(without the fusion of receptive field theory),it can shorten the recognition time by 97.0%,but the accuracy rate still maintains more than 98.5%.The method offers a valuable technical reference for the fields of mineral development and deep mining.

关键词： coal-rock identification complete local binary pattern receptive field texture feature

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COA Optimized PEMFC Remaining Useful Life Prediction for CRJ Networks 25

COA Optimized PEMFC Remaining Useful Life Prediction for CRJ...

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25th IEEE China Conference on System Simulation technology and its Application, CCSSTA 2024

作者： Feng, Ze Shi, Peng Wang, Wenhao Xu, Liang Tianjin University of Technology Tianjin Key Laboratory of New Energy Power Conversion Transmission and Intelligent Control Tianjin China Tianjin Institute of Metrological Supervision and Testing Tianjin China

ISBN: (纸本)9798350366600

Aiming at the RUL (remaining useful life) prediction problem of PEMFC (Proton Exchange Membrane Fuel Cell), this paper proposes a PEMFC remaining service life prediction model based on the long-nosed raccoon algorithm (COA) optimized deterministic jump cycle (CRJ) network model. After smoothing the data with equal interval sampling and SG convolutional smoothing, the 24 feature variables in the original data of the PEMFC were downscaled by principal component analysis. Then optimal input features were determined by the cumulative contribution rate, and then the optimization of the CRJ network was carried out by using the optimization of the CRJ network's cyclic ring weights rc, jump weights rj and the leakage rate parameter. The optimized CRJ network was used to make a prediction of the RUL of the PEMFC. In the simulation experiments, by comparing with the unoptimized CRJ network and COA-BP network prediction model, the MAE, PMSE and R2 of this paper's method are better, reaching 0.0026104,0.003582 and 0.94715, respectively. © 2024 IEEE.

关键词： echo state network PEMFC raccoon optimization algorithm residual lifetime

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Calibration Approaches to Coupling Factor and Decoupling Attenuation for Coupling /Decoupling Networks (CDNs) 15

Calibration Approaches to Coupling Factor and Decoupling Att...

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15th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2021

作者： Zhan, Zhiqiang Wan, Yibin Teng, Yulong Shanghai Institute of Measurement and Testing Technology Shanghai Key Laboratory of On-line measurement and control technology Shanghai China

ISBN: (纸本)9781665444910

This paper proposes a reliable CDNs Calibration method of Coupling Factor and Decoupling Attenuation applied to the field of Electromagnetic Compatibility Tests and Conducted Disturbances Included by Radio-Frequency FieldsImmunity Tests. Through comprehensive analysis, the definition and technical indicators of the CDNs'Coupling Factor and Decoupling Attenuation has been made at the first part of dissertation. Since a typical CDNcontains a 150 Ω balance port and a 50 Ω unbalance port, a standard 150Ω/50Ω adapter is necessary for calibrating the Coupling Factor and Decoupling Attenuation of CDNs. Furthermore, these standard instruments for calibration are also required that the Network Analyzer, coaxial precision loads, coaxial fixed attenuators and a reference ground. Meanwhile, this paper presents the standard instruments for calibration and technical indicators of them. Moreover, the evaluation of uncertainty measurement has been reviewed. Finally, the research has been applied to the technical measurement specification of China - «Calibration Specification of Coupling/Decoupling Networks for Conducted Disturbances Induced by Radio Frequency Fields testing». © 2021 IEEE.

关键词： Calibration

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Generalized stability criterion for controlling solidification segregation upon twin-roll casting

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Journal of Materials Science & technology 2023年第3期134卷 163-177页

作者： Pan Wu Yubing Zhang Jiaqi Hu Shaojie Song Yong Li Huiyuan Wang Guo Yuan Zhaodong Wang Shizhong Wei Feng Liu State Key Laboratory of Solidification Processing Northwestern Polytechnical UniversityXi’an 710072China Analytical and Testing Center Northwestern Polytechnical UniversityXi’an 710072China State Key Laboratory of Rolling and Automation Northeastern UniversityShenyang 110819China State Key Laboratory of Super hard Materials Jilin UniversityChangchun 130012China National Joint Engineering Research Center for Abrasion Control and Molding of Metal Materials Henan University of Science and TechnologyLuoyang 471003China

Macro-and micro-segregation formed upon twin-roll casting(TRC)can be inherited from sub-rapid solid-ification to solid-state transformation,even to plastic deformation,thus deteriorating drastically mechan-ical properties of as-produced thin *** many works focusing mainly on controlling fields of thermal,concentration and convection have been reported,how to control artificially and quantitatively the segregation using a theoretical connection between processing parameters and solidification models,has not been realized,*** it,a systematical framework integrating non-equilibrium dendritic growth and overall solidification kinetics with the TRC parameters,was constructed applying a general-ized stability(GS)conception deduced from transient thermodynamic driving force△G^(t)and transient ki-netic energy barrier Q_(eff)^(t)evolving upon *** from this framework considering synergy of thermodynamics and kinetics(i.e.,thermo-kinetic synergy),a criterion of high△G^(t)-high GS guaranteed that the macro(i.e.,the centerline)and the micro(i.e.,the edge)segregation can be suppressed by in-creasing△G^(t)and GS at the beginning and the ending stage of sub-rapid solidification,*** typical thermo-kinetic combination producing the microstructure can be inherited into the plastic de-formation,as reflected by corresponding strength-ductility *** work realized quantitative controlling of TRC by a theoretical connection between processing parameters and solidification models,where,an optimization for sub-rapid solidification segregation using the GS conception including△G^(t)and Q_(eff)^(t)has been performed.

关键词： Segregation Sub-rapid solidification Generalized stability Twin-roll casting Thermo-kinetics

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Insulators Defect Detection for Power Grid Based on Improved Yolov7 Algorithm 13

Insulators Defect Detection for Power Grid Based on Improved...

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13th International Conference on Intelligent control and Information Processing, ICICIP 2025

作者： Zhang, Zhiwei Zhuang, Yan Liang, Zhida Kong, Shuai Zhu, Shengyi School of Control Science and Engineering Dalian University of Technology Dalian China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Special Equipment Safety Testing Technology of Zhejiang Province Zhejiang Academy of Special Equipment Science Hangzhou China

ISBN: (纸本)9798331516147

High-current out-of-phase closed bus is an essential link in the transmission of electric energy and is widely used in thermal power stations, hydropower stations and nuclear power plants. Although these busbars have the advantages of excellent dustproof effect and strong magnetic shielding, they are susceptible to insulator aging and damage in long-term operation, posing a potential safety risk to the power grid. Due to the enclosed space inside the bus and the complexity of external maintenance tasks, manual inspection has problems such as inefficiency and low safety. In order to solve these problems, this paper proposes an improved detection algorithm based on Yolov7 for insulator defect detection in hydropower station scenarios. Because of the particularity of Yolov7 network structure and application scenarios, this paper proposes a Channel Feature Enhancement module to enhance the channel representation ability of the network. In addition, an Edge Feature Enhancement module is introduced to improve the boundary detection of insulators by enhancing the contrast between the target and the background. Considering the limitations of existing studies in specific scenarios and the scarcity of dataset, this paper constructs and accurately annotates an insulator defect detection dataset applied to hydropower station scenarios. Experimental results show that the improved-Yolov7-tiny algorithm in this paper achieves a balance between accuracy and inference speed. © 2025 IEEE.

关键词： Magnetic shielding

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Improving the stability and scalability of all-inorganic inverted CsPbI_(2)Br perovskite solar cell

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Journal of Energy Chemistry 2022年第5期31卷 176-183页

作者： Chenghao Duan Qiaoyun Wen Yan Fan Jiong Li Zidan Liu keyou Yan School of Environment and Energy State Key Laboratory of Luminescent Materials and DevicesGuangdong Provincial Key Laboratory of Solid Wastes Pollution Control and RecyclingSouth China University of TechnologyGuangzhou 510000GuangdongChina Medical Devices Research&Testing Center South China University of TechnologyGuangzhou 510000GuangdongChina

All-inorganic perovskite solar cells(PSCs) have potential to pass the stability international standard of IEC61215:2016 but cannot deliver high performance and stability due to the poor interface contact. In this paper, Sn-doped TiO_(2)(Ti_(1-x)Sn_(x)O_(2)) ultrathin nanoparticles are prepared for electron transport layer(ETL) by solution process. The ultrathin Ti_(1-x)Sn_(x)O_(2) nanocrystals have greatly improved interface contact due to the facile film formation, good conductivity and high work function. The all-inorganic inverted NiOx/CsPbI_(2)Br/Ti_(1-x)Sn_(x)O_(2)p-i-n device shows a power conversion efficiency(PCE) of 14.0%. We tested the heat stability, light stability and light-heat stability. After stored in 85℃ for 65 days, the inverted PSCs still retains 98% of initial efficiency. Under continuous standard one-sun illumination for 600 h,there is no efficiency decay, and under continuous illumination at 85℃ for 200 h, the device still retains 85% of initial efficiency. The 1.0 cm^(2) device of inverted structure shows a PCE of up to 11.2%. The ultrathin Ti_(1-x)Sn_(x)O_(2)is promising to improve the scalability and stability and thus increase the commercial prospect.

关键词： All-inorganic perovskite Sn-doped TiO_(2) Ultrathin nanocrystal Stability Scalability

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Sensitivity-Enhanced Tilt Sensor Based on Femtosecond Fiber Bragg Grating

Sensitivity-Enhanced Tilt Sensor Based on Femtosecond Fiber ...

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2023 International Conference on Sensing, Measurement and Data Analytics in the Era of Artificial Intelligence, ICSMD 2023

作者： Nutsuglo, Theophilus Guo, Chuanchen Li, Qiang Xiong, Li Guo, Yongxing Wuhan University of Science and Technology Key Laboratory of Metallurgical Equipment and Control Technology Ministry of Education Wuhan China Tiezheng Testing Technology Company Limited Jinan China Wuhan University of Science and Technology Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering Wuhan China

ISBN: (纸本)9798350318012

Tilt sensors are crucial in intelligent monitoring, enabling precise measurements and analysis of tilt angles. They have found extensive use in different industries, particularly in robotic systems and structural safety, as they serve as instrumental components within artificial intelligence (AI)based frameworks to facilitate real-time adjustments and operational efficiency. However, conventional tilt sensors may not be as accurate due to performance issues, such as electromagnetic interference (EMI) or temperature changes. This paper proposes a tilt sensor utilizing fiber Bragg grating (FBG) technology to overcome these drawbacks. This paper introduces a fiber Bragg grating tilt sensor with an enhancedsensitivity. When the sensor experiences a tilt angle (θ), the mass block induces a gravitational force and bending moment on the cantilever beam, leading to strain. The two FBGs detect the induced strain, hence causing a wavelength shift. The two FBGs are positioned a distance away from the neutral axis in a cantilever-based design to increase the sensitivity of the sensor. The results of the experiments show the sensor's linearity of 99.94% and sensitivity of 107.46 pm/° over a tilting angle range of -30° to 30°. Additionally, femtosecond FBGs exhibit hightemperature stability and ultrafast response, making them ideal for real-time monitoring applications. The proposed FBG tilt sensor is a femtosecond-inscribed FBG that leverages the capability to withstand high-temperature settings. © 2023 IEEE.

关键词： Fiber Bragg gratings

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