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Related Concept Videos

Gas Chromatography: Overview of Detectors01:13

Gas Chromatography: Overview of Detectors

Detectors in gas chromatography (GC) help identify and quantify the components of a mixture by translating chemical properties into measurable signals, which are displayed on a chromatogram. Detectors can be categorized into two main types: destructive and non-destructive.
A non-destructive detector allows a sample to be analyzed without altering or consuming it, meaning the sample can be collected after detection for further analysis. Examples include thermal conductivity detectors and...
Gas Chromatography: Types of Detectors-II01:19

Gas Chromatography: Types of Detectors-II

In gas chromatography, different detectors are employed to meet specific analytical needs. These detectors are often categorized based on their detection mechanisms and the types of compounds they are best suited to analyze. Thermal Conductivity Detectors (TCD), Flame Ionization Detectors (FID), and Electron Capture Detectors (ECD) represent common categories, each with unique operating principles and applications. However, beyond these, several other detectors are designed for more specialized...

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Updated: May 28, 2026

Additive Manufacturing-Enabled Low-Cost Particle Detector
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Additive Manufacturing-Enabled Low-Cost Particle Detector

Published on: March 24, 2023

Low-Cost Portable Sensor Node for Gas and Chemical Leak Detection with Kalman-Filtering-Based UWB Localization.

Mohammed Faeik Ruzaij Al-Okby1,2, Thomas Roddelkopf3, Kerstin Thurow1

  • 1Center for Life Science Automation (Celisca), University of Rostock, 18119 Rostock, Germany.

Sensors (Basel, Switzerland)
|May 27, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a portable Internet of Things (IoT) sensor node for early detection and precise localization of chemical leaks in industrial settings. The system uses ultra-wideband (UWB) positioning and Kalman filters for reliable safety monitoring.

Keywords:
Kalman filters (KF)ambient monitoringenvironmental monitoringextended Kalman filter (EKF)gas sensorsharmful gaseshazardous gasessensor nodeunscented Kalman filter (UKF)volatile organic compounds (VOCs)

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Last Updated: May 28, 2026

Additive Manufacturing-Enabled Low-Cost Particle Detector
06:05

Additive Manufacturing-Enabled Low-Cost Particle Detector

Published on: March 24, 2023

Area of Science:

  • Occupational Safety and Health
  • Sensor Networks
  • Indoor Positioning Systems

Background:

  • Industrial and laboratory environments face risks from chemical gas and vapor leaks, posing threats to worker health and infrastructure.
  • Early detection and accurate localization of these leaks are critical for enhancing workplace safety.

Purpose of the Study:

  • To propose a low-cost, portable Internet of Things (IoT) sensor node for detecting and localizing chemical leaks in indoor environments.
  • To integrate multi-sensor environmental event detection with high-precision indoor positioning for dynamic multi-zone tracking.

Main Methods:

  • Development of a modular IoT sensor node with interchangeable gas and environmental sensors.
  • Implementation of an ultra-wideband (UWB)-based positioning and tracking unit for multi-zone operation.
  • Application of Kalman filtering techniques (EKF, UKF) with sensor fusion (IMU data) to improve positioning accuracy under non-line-of-sight (NLoS) conditions.

Main Results:

  • Both Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) significantly improved positioning accuracy and tracking stability compared to baseline methods.
  • The Unscented Kalman Filter (UKF) demonstrated superior performance in nonlinear scenarios, achieving a mean error of 39.72 cm and an RMSE of 43.03 cm.
  • Kalman filter-based sensor fusion proved effective for reliable indoor positioning in challenging environments.

Conclusions:

  • The proposed IoT sensor system effectively integrates chemical leak detection with high-precision indoor localization.
  • The system's modularity and advanced filtering techniques make it suitable for real-time safety monitoring in industrial settings.
  • This technology enhances occupational safety by enabling early warning and precise location of hazardous gas leaks.