An automatic flow system for NIR screening analysis of liquefied petroleum gas with respect to propane content

This paper proposes a NIR spectrometric method for screening analysis of liquefied petroleum gas (LPG) samples. The proposed method is aimed at discriminating samples with low and high propane content, which can be useful for the adjustment of burn settings in industrial applications. A gas flow sys...

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Bibliographic Details
Published in:Talanta (Oxford) 2013-03, Vol.106, p.158-162
Main Authors: Dantas, Hebertty V., Barbosa, Mayara F., Nascimento, Elaine C.L., Moreira, Pablo N.T., Galvão, Roberto K.H., Araújo, Mário C.U.
Format: Article
Language:English
Subjects:
Algorithms
Automation
Constants
Design analysis
Liquefied petroleum gas
LPG
Multivariate classification
Near-infrared spectrometry
Propane
Propane content
Screening
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Summary:This paper proposes a NIR spectrometric method for screening analysis of liquefied petroleum gas (LPG) samples. The proposed method is aimed at discriminating samples with low and high propane content, which can be useful for the adjustment of burn settings in industrial applications. A gas flow system was developed to introduce the LPG sample into a NIR flow cell at constant pressure. In addition, a gas chromatographer was employed to determine the propane content of the sample for reference purposes. The results of a principal component analysis, as well as a classification study using SIMCA (soft independent modeling of class analogies), revealed that the samples can be successfully discriminated with respect to propane content by using the NIR spectrum in the range 8100–8800cm−1. In addition, by using SPA-LDA (linear discriminant analysis with variables selected by the successive projections algorithm), it was found that perfect discrimination can also be achieved by using only two wavenumbers (8215 and 8324cm−1). This finding may be of value for the design of a dedicated, low-cost instrument for routine analyses. ► Near-infrared screening analysis of liquefied petroleum gas with respect to propane content. ► Discrimination of poor (low propane content) and rich (high propane content) samples. ► Development of a gas flow system for sampling and measurement purposes. ► Selection of appropriate wavenumbers using the successive projections algorithm. ► Correct discrimination of all samples using only two wavenumbers.
ISSN:0039-9140
1873-3573
DOI:10.1016/j.talanta.2012.12.024