Abstract—Deteriorating air quality is of great concern
around the world. Recently, citizen scientists, researchers, and
many others have used low-cost devices such as the Shinyei
PPD42NS dust sensor to measure particulate matter pollution
in both developed and under-developed countries. However,
few articles exist specifically on the features and performance of
these sensors. Some have shown mixed results in terms of
precision, accuracy, and repeatability, especially for portable
applications. Frequently, users assemble the electronics and the
sensors applying simple guidelines, using electric schematics,
and coding extraneous algorithms to get questionable data.
There is a need to better understand how it works exactly, its
limitations and the effect of the program used to interpret the
outputs of this sensor. This article provides a short electronic
analysis of the Shinyei PPD42NS dust sensor and shows that the
internal sensor electronic design (filters and detection stage) as
well as the used data processing algorithm, limit its precision
and accuracy by generating nonlinearities and biases. These
issues avoid some applications like moving ones and imply that
the algorithm used to process the sensor signals must be clearly
presented in future articles.
Index Terms—Low-cost sensors, PM sensors, atmospheric
aerosols, air pollution.
Michaël Canu is with the University El Bosque, Electrical Engineering
Department, Cra 9 N 131A-02, Colombia (e-mail:
mcanu@unbosque.edu.co).
Boris Gálvis is with La Salle University, CLIMA group, Carrera 2 No
10-70, Colombia (e-mail: bgalvis@unisalle.edu.co).
Malika Madelin is with the PRODIG Lab, Université de Paris, 5, cours
des Humanités 93322 Aubervilliers Cedex, France (e-mail:
malika.madelin@univ-paris-diderot.fr).
Cite: Michaël Canu, Boris Gálvis, and Malika Madelin, "What does the Shinyei PPD42NS Low-Cost Dust Sensor Really Measure?," International Journal of Environmental Science and Development vol. 12, no. 1, pp. 1-9, 2021.
Copyright © 2021 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).