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Phase I biotransformation reactions are integral to drug metabolism, predominantly involving oxidative, reductive, and hydrolytic transformations. Chief among these are oxidative reactions, which enhance the hydrophilicity of xenobiotics and introduce polar functional groups to facilitate their elimination from the body.
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Related Experiment Video

Updated: Feb 3, 2026

Fabrication of 3D Carbon Microelectromechanical Systems C-MEMS
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Carbon Monoxide Sensing Technologies for Next-Generation Cyber-Physical Systems.

Turja Nandy1, Ronald A Coutu2, Cristinel Ababei3

  • 1Department of Electrical and Computer Engineering, Marquette University, Milwaukee, WI 53233, USA. turja.nandy@marquette.edu.

Sensors (Basel, Switzerland)
|October 17, 2018
PubMed
Summary
This summary is machine-generated.

Accurate carbon monoxide (CO) detection is crucial for health. This review explores advanced CO sensing technologies and cyber-physical systems (CPS) for effective environmental monitoring and control.

Keywords:
carbon monoxide (CO)cyber-physical system (CPS)metal oxide semiconductor (MOS)microelectromechanical systems (MEMS)non-dispersive infrared (NDIR)photoacoustic spectroscopy (PA)

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Area of Science:

  • Environmental Science
  • Chemical Engineering
  • Sensor Technology

Background:

  • Carbon monoxide (CO) is a toxic gas and environmental pollutant.
  • Effective detection and control are vital for preventing severe health issues in residential and industrial settings.
  • Advancements in CO sensing are needed for reliable low-range detection.

Purpose of the Study:

  • To review the importance of CO sensing technologies.
  • To discuss the application of cyber-physical systems (CPS) for CO detection and control.
  • To provide an overview of various CO detection mechanisms and their performance.

Main Methods:

  • Literature review of CO sensing technologies.
  • Discussion of a CPS modeling framework for CO detection and control.
  • Classification and analysis of CO detection mechanisms, including Metal Oxide Semiconductor (MOS) and optical sensors.

Main Results:

  • CPS offers a comprehensive framework for automated CO detection and control.
  • MOS and optical sensing methods show promise for sensitive and selective CO detection.
  • Key performance metrics include sensitivity, selectivity, response/recovery time, and low concentration detection ability.

Conclusions:

  • Further research in CO sensing materials and CPS integration is essential.
  • Optimized CO sensors integrated into CPS networks enable real-time monitoring.
  • Both MOS and optical sensing technologies are critical for advancing CO detection capabilities.