» Articles » PMID: 37448045

Effects of Gas and Steam Humidity on Particulate Matter Measurements Obtained Using Light-Scattering Sensors

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2023 Jul 14
PMID 37448045
Authors
Affiliations
Soon will be listed here.
Abstract

With the increasing need for particulate matter (PM) monitoring, the demand for light-scattering sensors that allow for real-time measurements of PM is increasing. This light-scattering method involves irradiating light to the aerosols in the atmosphere to analyze the scattered light and measure mass concentrations. Humidity affects the measurement results. The humidity in an outdoor environment may exist as gas or steam, such as fog. While the impact of humidity on the light-scattering measurement remains unclear, an accurate estimation of ambient PM concentration is a practical challenge. Therefore, this study investigated the effects of humidity on light-scattering measurements by analyzing the variation in the PM concentration measured by the sensor when relative humidity was due to gaseous and steam vapor. The gaseous humidity did not cause errors in the PM measurements via the light-scattering method. In contrast, steam humidity, such as that caused by fog, resulted in errors in the PM measurement. The results help determine the factors to be considered before applying a light-scattering sensor in an outdoor environment. Based on these factors, directions for technological development can be presented regarding the correction of measurement errors induced by vapor in outdoor environments.

Citing Articles

System Integration of an Optimally Designed Virtual Impactor with a QCM Sensor as a One-Stop PM Classification and Detection Platform.

Wang Y, Mei X, Xu Z, Qian J ACS Omega. 2024; 9(5):5751-5760.

PMID: 38343940 PMC: 10851235. DOI: 10.1021/acsomega.3c08402.


AirMLP: A Multilayer Perceptron Neural Network for Temporal Correction of PM2.5 Values in Turin.

Casari M, Po L, Zini L Sensors (Basel). 2023; 23(23).

PMID: 38067817 PMC: 10708581. DOI: 10.3390/s23239446.


Response Surface Modeling of the Steady-State Impedance Responses of Gas Sensor Arrays Comprising Functionalized Carbon Nanotubes to Detect Ozone and Nitrogen Dioxide.

Naishadham K, Naishadham G, Cabrera N, Bekyarova E Sensors (Basel). 2023; 23(20).

PMID: 37896540 PMC: 10610975. DOI: 10.3390/s23208447.

References
1.
Di Antonio A, Popoola O, Ouyang B, Saffell J, Jones R . Developing a Relative Humidity Correction for Low-Cost Sensors Measuring Ambient Particulate Matter. Sensors (Basel). 2018; 18(9). PMC: 6164928. DOI: 10.3390/s18092790. View

2.
Gupta N, Fahad H, Amani M, Song X, Scott M, Javey A . Elimination of Response to Relative Humidity Changes in Chemical-Sensitive Field-Effect Transistors. ACS Sens. 2019; 4(7):1857-1863. DOI: 10.1021/acssensors.9b00637. View

3.
Kim H, Tae S, Zheng P, Kang G, Lee H . Development of IoT-Based Particulate Matter Monitoring System for Construction Sites. Int J Environ Res Public Health. 2021; 18(21). PMC: 8582927. DOI: 10.3390/ijerph182111510. View

4.
Chicea D, Leca C, Olaru S, Chicea L . An Advanced Sensor for Particles in Gases Using Dynamic Light Scattering in Air as Solvent. Sensors (Basel). 2021; 21(15). PMC: 8348746. DOI: 10.3390/s21155115. View

5.
Bulot F, Johnston S, Basford P, Easton N, Apetroaie-Cristea M, Foster G . Long-term field comparison of multiple low-cost particulate matter sensors in an outdoor urban environment. Sci Rep. 2019; 9(1):7497. PMC: 6522472. DOI: 10.1038/s41598-019-43716-3. View