Discrimination and Quantification of Volatile Organic Compounds in the ppb-Range with Gas Sensitive SiC-FETs Using Multivariate Statistics
2015 (English)In: Sensors and actuators. B, Chemical, ISSN 0925-4005, Vol. 214, 225-233 p.Article in journal (Refereed) Published
Gas sensitive field effect transistors based on silicon carbide, SiC-FETs, have been studied for indoor air quality applications. The selectivity of the sensors was increased by temperature cycled operation, TCO, and data evaluation based on multivariate statistics. Discrimination of benzene, naphthalene, and formaldehyde independent of the level of background humidity is possible by using shape describing features as input for Linear Discriminant Analysis, LDA, or Partial Least Squares – Discriminant Analysis, PLS-DA. Leave-one-out cross-validation leads to a correct classification rate of 90 % for LDA, and for PLS-DA a classification rate of 83 % is achieved. Quantification of naphthalene in the relevant concentration range, i.e. 0 ppb to 40 ppb, was performed by Partial Least Squares Regression and a combination of LDA with a second order polynomial fit function. The resolution of the model based on a calibration with three concentrations was approximately 8 ppb at 40 ppb naphthalene for both algorithms.
Hence, the suggested strategy is suitable for on demand ventilation control in indoor air quality application systems.
Place, publisher, year, edition, pages
Elsevier, 2015. Vol. 214, 225-233 p.
Indoor Air Quality, temperature modulation, Linear Discriminant Analysis, Partial Least Squares, trace level detection
Other Environmental Engineering
IdentifiersURN: urn:nbn:se:liu:diva-115560DOI: 10.1016/j.snb.2015.03.016ISI: 000353131300031OAI: oai:DiVA.org:liu-115560DiVA: diva2:795538
FunderEU, FP7, Seventh Framework Programme, 604311