Next Article in Journal
High Precision Wide Bandwidth DC Current Transducer Based on the Platiše Flux Sensor
Next Article in Special Issue
Protein Determination with Molecularly Imprinted Polymer Recognition Combined with Birefringence Liquid Crystal Detection
Previous Article in Journal
State and Force Estimation on a Rotating Helicopter Blade through a Kalman-Based Approach
Previous Article in Special Issue
Ratiometric Strategy for Electrochemical Sensing of Carbaryl Residue in Water and Vegetable Samples
Open AccessArticle

Inline Infrared Chemical Identification of Particulate Matter

The Netherlands Organisation for Applied Scientific Research, HTC25, 5656AE Eindhoven, The Netherlands
Author to whom correspondence should be addressed.
Sensors 2020, 20(15), 4193;
Received: 25 June 2020 / Revised: 20 July 2020 / Accepted: 24 July 2020 / Published: 28 July 2020
(This article belongs to the Special Issue Sensors for Environmental and Life Science Applications)
The health and environmental effects of particulate matter (PM) in the air depend on several parameters. Besides particle size, shape, and concentration, the chemical nature of the PM is also of great importance. State-of-the-art PM sensors only detect the particle size and concentration. Small, low-cost sensors only identify PM according to PM2.5 and PM10 standards. Larger detectors measure the complete particle size distribution. However, the chemical composition of PM is not often assessed. The current paper presents the initial stages of the development of an infrared-based detector for the inline assessment of the chemistry of PM in the air. By combining a mini cyclone that is able to concentrate the particles at least a thousand fold and a hollow waveguide that aligns the flow of particles with infrared light, the feasibility of the concept was shown in this study. A clear differentiation between amorphous and crystalline silica was demonstrated at outdoor PM levels of lower than 1 mg per cubic meter. View Full-Text
Keywords: particulate matter sensor; inline chemical identification; infrared spectroscopy; hollow waveguide; cyclone; exposome particulate matter sensor; inline chemical identification; infrared spectroscopy; hollow waveguide; cyclone; exposome
Show Figures

Graphical abstract

MDPI and ACS Style

Núñez, J.; Wang, Y.; Bäumer, S.; Boersma, A. Inline Infrared Chemical Identification of Particulate Matter. Sensors 2020, 20, 4193.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop