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Data driven models exploring the combination of NIR and H-1 NMR spectroscopies in the determination of gasoline properties

Title
Data driven models exploring the combination of NIR and H-1 NMR spectroscopies in the determination of gasoline properties
Type
Article in International Scientific Journal
Year
2022
Authors
Leal, AL
(Author)
Other
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Silva, AMS
(Author)
Other
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Ribeiro, JC
(Author)
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Martins, FG
(Author)
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Journal
Title: Microchemical JournalImported from Authenticus Search for Journal Publications
Vol. 175
ISSN: 0026-265X
Publisher: Elsevier
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Publicação em ISI Web of Knowledge ISI Web of Knowledge - 0 Citations
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Authenticus ID: P-00W-1NQ
Abstract (EN): The quality control of a commercial gasoline includes the assessment of several physical-chemical properties. The main objective of the present work is to investigate the simultaneous use of NIR and H-1 NMR data to accurately estimate 13 of those characteristics [i.e., density, vapour pressure, percent evaporated at 70 degrees C, percent evaporated at 100 degrees C, percent evaporated at 150 degrees C, final boiling point, research octane number, motor octane number, aromatic content, olefinic content, benzene content, oxygen content and methyl t-butyl ether content]. The data driven models implemented in this work were single PLS using a concatenated block including two data types (i.e., NIR and H-1 NMR), and serial PLS using the different data blocks separately. This work also aims at comparing the predictive capability of these regression models with the models calibrated with one type of spectroscopic data only. The optimum complexity of each model (i.e., number of latent variables) has been determined according to the repeated cross-validation strategy, consisting of 100 repetitions of a cross-validation loop. Serial PLS models have been proven effective in property estimation and, for most of the cases, outperform the models developed using a single spectroscopic technique. This proves the complementarity of both spectroscopic techniques, which are based on distinct principles. The developed models yielded accurate predictions of 11 of the 13 gasoline properties within the reproducibility of ISO standards. The implementation of these techniques in industry enables a significant reduction in the total time needed for gasoline quality control and the simultaneous use of two different spectroscopic techniques allows for more reliable estimations of the properties in study.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 10
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