Next Article in Journal
Portable Microwave Radar Systems for Short-Range Localization and Life Tracking: A Review
Next Article in Special Issue
A Simple Procedure to Assess Limit of Detection for Multisensor Systems
Previous Article in Journal
Microservice-Oriented Platform for Internet of Big Data Analytics: A Proof of Concept
Previous Article in Special Issue
Fault Identification of Chemical Processes Based on k-NN Variable Contribution and CNN Data Reconstruction Methods
Open AccessArticle

Selective Detection of Hydrogen Sulfide and Methane by a Single MOX-Sensor

1
Department of Chemistry, Voronezh State Agrarian University, Voronezh 394087, Russia
2
Department of Mathematics and Physics, Voronezh State Agrarian University, Voronezh 394087, Russia
3
Research Institute of Physics, Voronezh State University, Voronezh 394006, Russia
4
NRC Kurchatov Institute, Moscow 123182, Russia
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(5), 1135; https://doi.org/10.3390/s19051135
Received: 26 January 2019 / Revised: 26 February 2019 / Accepted: 28 February 2019 / Published: 6 March 2019
(This article belongs to the Special Issue Multivariate Data Analysis for Sensors and Sensor Arrays)
In this paper, we describe a technique for the qualitative and quantitative analysis of such gas mixtures as “hydrogen sulfide in air” and “methane in air” using temperature modulation of a single metal oxide sensor. Using regression analysis in the principal components plane (PC1, PC2), we performed a selective determination of analytes on the minimum set of their concentrations in the training set, which is essential for solving practical problems. An important feature of this work is the difference in test gas concentrations from their concentrations in the training set. For the qualitative analysis of gas mixtures in a wide range of concentrations, we have developed an improved method for processing arrays of multidimensional data. For this improvement, we form a Mahalanobis neighborhood for polynomial regression lines constructed from the projection of training samples for each analyte on the (PC1, PC2) plane. Using the temperature modulation mode for the metal oxide sensor allowed us to increase its response when determining hydrogen sulfide by two to four orders of magnitude compared with the constant temperature mode. View Full-Text
Keywords: MOX sensor; temperature modulation; selectivity; sensitivity; qualitative analysis; multidimensional data MOX sensor; temperature modulation; selectivity; sensitivity; qualitative analysis; multidimensional data
Show Figures

Figure 1

MDPI and ACS Style

Shaposhnik, A.; Moskalev, P.; Sizask, E.; Ryabtsev, S.; Vasiliev, A. Selective Detection of Hydrogen Sulfide and Methane by a Single MOX-Sensor. Sensors 2019, 19, 1135.

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

1
Back to TopTop