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Recent advances in electrochemical sensing and remediation technologies for ciprofloxacin

Environmental Science and Pollution Research 2025年第5期32卷 2210-2237页

作者： Kini, Vrinda C S, Sreelakshmi Mondal, Debasmita Sundarabal, Nethaji Nag, Pooja Sadani, Kapil Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal India Department of Microbiology Kasturba Medical College Manipal Academy of Higher Education Karnataka Manipal India Department of Electrical and Instrumentation Engineering Thapar Institute of Engineering and Technology Punjab Patiala India Department of Chemical Engineering Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal India Department of Mechatronics Manipal Institute of Technology Manipal Academy of Higher Education Karnataka Manipal India

Ciprofloxacin (CIP) is an extensively used broad-spectrum, fluoroquinolone antibiotic used for treating diverse bacterial infections. Effluent treatment plants (ETPs) worldwide lack technologies to detect or remediate antibiotics. CIP reaches the aquatic phase primarily due to inappropriate disposal practices, lack of point-of-use sensing, and preloaded activated charcoal filter at ETPs. The co-existence of bacteria and CIP in such aqueous pools has promoted fluoroquinolone resistance in bacteria and should be minimized. The worldwide accepted standard detection methodologies for the detection of CIP are high-performance liquid chromatography and mass spectrometry, which are lab-based, require state-of-the-art equipment, and are expensive. Hence, it is difficult to integrate them for on-site monitoring. Further, the current remediation technologies like conventional sludge-treatment techniques fail to remove antibiotics such as CIP. Several point-of-use technologies for the detection of CIP are being investigated. These typically involve the development of electrochemical sensors where substrates, modifiers, biorecognition elements, and their chemistries are designed and optimized to enable robust, point-of-use detection of CIP. Similarly, remediation techniques like adsorption, membrane filtration, ion exchange, photocatalysis, ozonation, oxidation by Fenton’s reagent, and bioremediation are explored, but their onsite use is limited. The use of these sensing and remediation technologies in tandem is possibly the only way the issues related to antimicrobial resistance may be effectively tackled. This article provides a focused critical review on the recent advances in the development of such technologies, laying out the prospects and perspectives of their synergistic use to curb the menace of AMR and preserve antibiotics. © The Author(s) 2025.

关键词： High performance liquid chromatography

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Data-Driven Framework for Fault Diagnosis of Process Loop Components

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IEEE Transactions on Industry Applications 2025年

作者： Khandekar, Meera A. Agashe, Sudhir D. Dept of Instrumentation and Control Engineering CoEP Technological University Pune India

All industrial operations for oil, gas, power plants, manufacturing plants, and allied industries are automated. To run operations efficiently and safely, all field instruments must be working properly. Many events like mechanical failure, electrical failure, aging of equipment, operator errors, and lack of maintenance of components are leading causes of unscheduled downtime in the plant. Preventive maintenance techniques are not effective as a variety of instruments are working under different operating conditions. Condition Based Monitoring (CBM) techniques require vibration and temperature data to diagnose the performance of the instruments. CBM techniques are not real-time and are costly as an expert is required to diagnose the faults. Moreover the automated maintenance schedule required for field instruments has not been tried and tested till present. A data-driven framework is proposed to monitor the online performance of process loop components such as transmitters, current-to-pressure converter and control valve. If the type of fault is correctly diagnosed, corrective action can be taken. Realtime data for a control valve and a current-to-pressure converter has been used to develop regression and classification models. Regression models detect deviation in the calibration of a currentto-pressure converter and control valve. SVM Classification models have been developed to identify faults like air leakage, stiction, and disturbed orientation. To diagnose the performance of process loop components, data-driven models are useful. The SVM model shows 97.73% accuracy for fault diagnosis of the control valve. Process loop component maintenance is more effective using a data-driven model than preventive maintenance and CBM techniques. © 1972-2012 IEEE.

关键词： Safety valves

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Investigations on Jamming and Black Hole Attacks in Wireless Sensor Networks: An Industrial Case Study

Investigations on Jamming and Black Hole Attacks in Wireless...

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International Conference on 6G Communications Networking and Signal Processing, SGCNSP 2023

作者： Lavanya, A. Udhayakumar, P. Rajkumar, K. Revathi, S. Department of Electrical and Electronics Engineering National Institute of Technology Puducherry Karaikal609609 India Department of Engineering Karaikal Port India Department of Instrumentation and Control Engineering National Institute of Technology Trichy Tiruchirappalli620015 India

ISBN: (纸本)9789819778751

As industries rapidly advance towards Industry 4.0 and the Industrial Internet of Things (IIoT), the integration of automation and digitalization has brought unprecedented efficiency gains to various sectors. Among the critical components of Industry 4.0, belt conveyors play a pivotal role in streamlining material handling processes. Many crucial parameters in the Industrial Conveyor system require constant attention and monitoring. However, this integration of digital systems also exposes these conveyor systems to new vulnerabilities, notably cyber-attacks. This paper, investigate the potential impacts of availability attack on Industrial Conveyor system. The study employs a multi-faceted approach, combining cyber-physical experiments and simulations. Black holes and jamming attacks are considered, targeting the Wireless Sensor Network (WSN) of the Industrial conveyor system. The effects of these attacks on conveyor movement, material flow, and overall production are meticulously examined. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Jamming

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IOT Based Smart Water Distribution

IOT Based Smart Water Distribution

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Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), International Conference

作者： Vijaykumar Bhanuse Atharva Mhetre Sakshi Hingmire Pooja Kandepalli Sahil Nimse Instrumentation and Control Engineering Vishwakarma Institute Of Technology Pune India

ISBN: (数字)9798331515911

ISBN: (纸本)9798331515928

This paper introduces an innovative solution to modernize water distribution systems by integrating RFID technology with a 12V DC pump, a microcontroller, and a billing feature displayed through a mobile application. The integration of these components aims to address common challenges such as unequal distribution, wastage, and unauthorized access faced by traditional systems. Each household is provided with a unique RFID card corresponding to an RFID tag installed at a central water tank, ensuring secure and authorized access to water resources. The 12V DC pump, coupled with optimized piping infrastructure, regulates water flow, enhancing reliability and efficiency. The microcontroller serves as the central control unit, managing RFID operations, monitoring water flow, and facilitating communication with a central server for billing data. Key objectives include promoting equitable access, minimizing wastage through continuous monitoring, and supporting sustainable management practices. Additionally, the project incorporates a billing feature displayed on a mobile application, allowing users to view and manage their water consumption data conveniently. By integrating RFID technology, a microcontroller, and a billing feature accessible through a mobile application, the system offers a comprehensive solution to the challenges of water distribution, promoting efficiency, equity, and sustainability in communities.

关键词： Water Microcontrollers Storage management Mobile applications Reliability Servers Sustainable development RFID tags Water resources Monitoring

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Machine Learning-Based Power Loss Analysis in Photovoltaic Systems

Machine Learning-Based Power Loss Analysis in Photovoltaic S...

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Smart and Sustainable Developments in Electrical engineering (SSDEE), IEEE International Conference on

作者： Anuradha Tomar Hritik Kumar Department of Instrumentation & Control Engineering Netaji Subhas University of Technology

ISBN: (数字)9798331542108

ISBN: (纸本)9798331542115

This research estimates the power loss in photovoltaic (PV) systems through a Random Forest model by using 15-min interval data for two years (2021–2023) of operation from a university campus located in Delhi, India. Irradiance, temperature and the dust concentration were used in the analysis to calculate and estimate actual and theoretical potentials and power losses based on factual, modelled and theoretical determinations under Standard test conditions (STC). Seasonal changes are of particular interest and therefore, the power loss is to be analyzed based on three power quality reports obtained over three different seasons in 2023. The results of the model show the Mean absolute error (MAE) to be 29.145 W along with Root mean square error (RMSE) to be 57.72 W. Interactions with power loss observed seasonally proved to have variations in dust and power loss, temperature, and so on; all of which confirmed the effectiveness of Random Forest model in providing valuable predictions of season-sensitive data. These results would be significant to enhance the efficiency of the PV system and how energy technologies for dusty areas should be designed.

关键词： Photovoltaic systems Temperature distribution Sensitivity System performance Predictive models Data models Sustainable development Root mean square Random forests Standards

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Enhancing Vertical Transport Safety Through an IoT-Based System 5

Enhancing Vertical Transport Safety Through an IoT-Based Sys...

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5th International Conference on Emerging Systems and Intelligent Computing, ESIC 2025

作者： Kumar, Swetha R. Aditi, S. Poovisha, S. Vellore Institute of Technology School of Electrical Engineering Tamil Nadu Chennai India Psg College of Technology Department of Instrumentation and Control Systems Engineering Tamil Nadu Coimbatore India

ISBN: (纸本)9798331522100

Vertical transportation systems, such as elevators and escalators, are essential components of modern infrastructure, necessitating robust safety mechanisms to ensure user well-being. This paper proposes an Internet of Things (IoT)-based system to enhance the safety, monitoring, and efficiency of vertical transport. The system addresses critical issues, such as sudden elevator cable failures leading to entrapment or uncontrolled descent, power losses during operation, and fire hazards caused by material friction. By leveraging IoT technology, the system enables real-time monitoring and immediate notification of potential problems via messaging. The implementation requires components such as ultrasonic sensors, smoke sensors, vibration sensors, microcontrollers, DC motors, batteries, relays, and the UBIDOT application. The resulting system is low-cost, user-friendly, and economically viable, making it accessible to individuals with minimal technical expertise. Furthermore, it is designed for ease of construction and troubleshooting, offering a practical and scalable solution to improve elevator safety and reliability. © 2025 IEEE.

关键词： Fire hazards

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Enhanced Feature Matching in Image Stitching Using ORB for Image-Based Mapping Using UAV 1

Enhanced Feature Matching in Image Stitching Using ORB for I...

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1st engineering and Science International Conference 2024, ESIC 2024

作者： Anoraga, Muhammad Imron Catur Ekawati, Estiyanti Mukhlish, Faqihza Instrumentation and Control Master Program Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Engineering Physics Research Group Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Center for Instrumentation Technology and Automation Institut Teknologi Bandung Bandung Indonesia

Image-based region mapping requires an image-stitching process to produce a complete map while preserving the details of the mapped objects. Image acquisition can be done using UAVs such as drones, and image stitching can be performed using the Oriented FAST and Rotated BRIEF (ORB) techniques. However, this algorithm has a drawback: There are many mismatches during feature matching. In this study, a maximum pixel displacement constraint between images was applied during the feature-matching process. Applying this constraint improved the feature-matching results due to a significant reduction of the mismatch rate from 84.28% to 25.17%. This reduction positively impacted subsequent stages, including map stitching. The mismatch removal process and the acquisition of transformation models during image registration became faster, reducing the processing time from 17m 36.8s to 1m 17.2s. Additionally, there was an improvement in the SSIM metric score, indicating that the stitched image results had a higher similarity to the reference image captured by a digital camera, increasing from 0.8423 to 0.8489. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Evaluating the Performance of the OWC Satellite System Under Different Parameters Using the Optisystem Program

Evaluating the Performance of the OWC Satellite System Under...

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Conference of Recent Trends and Applications of Soft Computing in engineering, RTASCE 2024

作者： Abood, Layla H. Al-Hilali, Aqeel Ali Galeb, Basim Saber, Ali Ali Bashar, Mustafa Department of Control and Systems Engineering University of Technology Baghdad Iraq Medical Instrumentation Engineering Department Al-Farahidi University Baghdad Iraq Computer Technician Engineering Al Hikma University College Baghdad Iraq Cybersecurity Technology Engineering Department Al-Kitab University Kirkuk Iraq Medical Instrumentation Engineering Department Uruk University Baghdad Iraq

ISBN: (纸本)9783031828805

The potential of optical wireless communication (OWC) systems for high-speed data transfer, especially over extended distances, is being investigated more and more. However, problems including signal attenuation, dispersion, and noise pose a serious challenge to these systems’ effectiveness as transmission lengths increase. This research examines how an OWC system built using OptiSystem software is affected by different transmission lengths, ranging from 1000 to 3000 km. The results of the investigation show that the Quality Factor (QF) and the Bit Error Rate (BER) have a significant negative connection, with more signal distortion and attenuation occurring at greater distances. While rising noise power—due to attenuation and compensatory noise from optical amplifiers—further degrades signal quality by reducing the Signal-To-Noise Ratio (SNR) and Optical Signal-To-Noise Ratio (OSNR), the eye diagram's narrowing indicates increased pulse broadening and intersymbol interference. Furthermore, timing irregularities, as measured by RMS jitter and peak-to-peak jitter, became larger at greater distances, indicating the detrimental effects of attenuation on signal accuracy. The exponential increase in BER logarithm with distance highlights the increasing error rates. These results highlight the serious problems with long-distance transmission and the need for creative solutions. To further enhance the performance and dependability of high-speed OWC systems over long distances, future research should concentrate on creating sophisticated dispersion compensation algorithms, improving noise control tactics, and investigating adaptive modulation schemes. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Timing jitter

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Closed-Loop System Identification of an Unstable Nonlinear System Using Koopman Operator 4

Closed-Loop System Identification of an Unstable Nonlinear S...

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4th International Symposium on instrumentation, control, Artificial Intelligence, and Robotics, ICA-SYMP 2025

作者： Maneeloke, Benjaset Boonto, Sudchai Sanposh, Peerayot Tipsuwan, Yodyium Chinthaned, Natthawut Tanaprasitpattana, Warit Kasetsart University Dept. of Electrical Engineering Bangkok Thailand King Mongkut's University of Technology Thonburi Dept. of Control Systems and Instrumentation Engineering Bangkok Thailand Kasetsart University Dept. of Computer Engineering Bangkok Thailand

ISBN: (纸本)9798331505400

This paper presents a novel methodology for closed-loop system identification of unstable nonlinear systems using the Koopman operator with Extended Dynamic Mode Decomposition with control (EDMDc). The study highlights the critical role of selecting appropriate observable functions to develop accurate and efficient Koopman models. We demonstrate that the resulting Koopman models exhibit excellent fitting and validation properties and retain the stabilizability of the original nonlinear systems. These models are verified through time and frequency responses under closed-loop control using a Linear Quadratic Regulator (LQR), confirming their effectiveness. Future work will extend this framework to more complex systems and incorporate machine learning techniques to refine the selection of observable functions. This approach aims further to enhance the adaptability and robustness of Koopman-based control strategies. © 2025 IEEE.

关键词： Dynamic mode decomposition

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Introduction to a motion control algorithm for the autonomous 4-wheel steering vehicle

Introduction to a motion control algorithm for the autonomou...

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IEEE/SICE International Symposium on System Integration

作者： Yongseong Cho Kangmin Noh Eunchan Lee Hyunhwan Jeong Department of Control and Instrumentation Engineering Korea University Sejong City Korea

ISBN: (数字)9798331531614

ISBN: (纸本)9798331531621

This paper introduces a motion control algorithm for an autonomous four-wheel steering(4WS) vehicle system, which independently controls the steering angles of the front and rear wheels. This capability allows for three distinct driving modes: front steering mode, crab steering mode, and symmetrical steering mode. The proposed algorithm effectively uses these modes to achieve precise maneuverability, facilitating accurate navigation toward the target location. We conducted a kinematic analysis of the four-wheel steering vehicle, with a focus on its motion characteristics. A simple motion control law is developed using the kinematic analysis and the steering mode transition of the 4WS vehicle. To validate the feasibility and effectiveness of the proposed algorithm, initial numerical simulation results are presented.

关键词： Accuracy Navigation Wheels Kinematics System integration Numerical simulation control systems Motion control

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