Multivariate calibration strategy in simultaneous determination of temperature properties of petroleum diesel by near infrared spectrometry

It is essential to control the quality of diesel products so that they comply with relevant fuel specifications, however, the quality assessments rely upon conventional wet chemical analyses that are costly and time consuming. Rapid, simultaneous quality measurement enabling immediate online optimis...

Full description

Saved in:
Bibliographic Details
Main Authors: Othman, Abd Rahim, Zain, Sharifuddin Md, Low, Kah Hin
Format: Article
Published: SAGE Publications 2022
Subjects:
Online Access:http://eprints.um.edu.my/41048/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.um.eprints.41048
record_format eprints
spelling my.um.eprints.410482023-07-17T03:29:05Z http://eprints.um.edu.my/41048/ Multivariate calibration strategy in simultaneous determination of temperature properties of petroleum diesel by near infrared spectrometry Othman, Abd Rahim Zain, Sharifuddin Md Low, Kah Hin QD Chemistry It is essential to control the quality of diesel products so that they comply with relevant fuel specifications, however, the quality assessments rely upon conventional wet chemical analyses that are costly and time consuming. Rapid, simultaneous quality measurement enabling immediate online optimisation for process control and blending offers tremendous cost savings by minimising product quality give-away, shipment demurrage, tank inventory, and laboratory analysis. In this study, the use of near infrared spectroscopy and chemometrics demonstrates a straightforward workflow for simultaneous determination of the petroleum diesel's boiling point at 95% recovery (T95), flash point (FP), cloud point (CP), and cetane index (CI) calibration development. It involved appropriate spectral region selection, calibration/validation set partition, data pre-processing, regression modelling and validation. Based on the calibration and validation results, the supervised learning models that are obtained from a combination region of 4000-4800 cm(-1) on a randomly selected calibration set managed to deliver promising predictive performance in terms of coefficient of determination for prediction (r(P)(2)/T95 >= 0.94, r(P)(2)/FP >= 0.89, r(P)(2)/CP >= 0.89, r(P)(2)/CI >= 0.993), root mean square error of prediction (RMSEP (T95) <= 5.2 degrees C, RMSEP (FP) <= 2.0 degrees C, RMSEP (CP) <= 2.4 degrees C, RMSEP (CI) <= 0.3), and ratio of performance deviation (RPD (T95) >= 3.7, RPD (FP) >= 3.0, RPD (CP) >= 2.9, RPD (CI) >= 11). Regardless of principal component regression or partial least square regression on either the multiplicative scattering corrected spectra or Savitzky Golay second derivative spectra, the developed models met respective ASTM reproducibility requirements, and were considered adequate for immediate quality assessment of diesel. SAGE Publications 2022-10 Article PeerReviewed Othman, Abd Rahim and Zain, Sharifuddin Md and Low, Kah Hin (2022) Multivariate calibration strategy in simultaneous determination of temperature properties of petroleum diesel by near infrared spectrometry. Journal of Near Infrared Spectroscopy, 30 (5). pp. 237-245. ISSN 0967-0335, DOI https://doi.org/10.1177/09670335221130425 <https://doi.org/10.1177/09670335221130425>. 10.1177/09670335221130425
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QD Chemistry
spellingShingle QD Chemistry
Othman, Abd Rahim
Zain, Sharifuddin Md
Low, Kah Hin
Multivariate calibration strategy in simultaneous determination of temperature properties of petroleum diesel by near infrared spectrometry
description It is essential to control the quality of diesel products so that they comply with relevant fuel specifications, however, the quality assessments rely upon conventional wet chemical analyses that are costly and time consuming. Rapid, simultaneous quality measurement enabling immediate online optimisation for process control and blending offers tremendous cost savings by minimising product quality give-away, shipment demurrage, tank inventory, and laboratory analysis. In this study, the use of near infrared spectroscopy and chemometrics demonstrates a straightforward workflow for simultaneous determination of the petroleum diesel's boiling point at 95% recovery (T95), flash point (FP), cloud point (CP), and cetane index (CI) calibration development. It involved appropriate spectral region selection, calibration/validation set partition, data pre-processing, regression modelling and validation. Based on the calibration and validation results, the supervised learning models that are obtained from a combination region of 4000-4800 cm(-1) on a randomly selected calibration set managed to deliver promising predictive performance in terms of coefficient of determination for prediction (r(P)(2)/T95 >= 0.94, r(P)(2)/FP >= 0.89, r(P)(2)/CP >= 0.89, r(P)(2)/CI >= 0.993), root mean square error of prediction (RMSEP (T95) <= 5.2 degrees C, RMSEP (FP) <= 2.0 degrees C, RMSEP (CP) <= 2.4 degrees C, RMSEP (CI) <= 0.3), and ratio of performance deviation (RPD (T95) >= 3.7, RPD (FP) >= 3.0, RPD (CP) >= 2.9, RPD (CI) >= 11). Regardless of principal component regression or partial least square regression on either the multiplicative scattering corrected spectra or Savitzky Golay second derivative spectra, the developed models met respective ASTM reproducibility requirements, and were considered adequate for immediate quality assessment of diesel.
format Article
author Othman, Abd Rahim
Zain, Sharifuddin Md
Low, Kah Hin
author_facet Othman, Abd Rahim
Zain, Sharifuddin Md
Low, Kah Hin
author_sort Othman, Abd Rahim
title Multivariate calibration strategy in simultaneous determination of temperature properties of petroleum diesel by near infrared spectrometry
title_short Multivariate calibration strategy in simultaneous determination of temperature properties of petroleum diesel by near infrared spectrometry
title_full Multivariate calibration strategy in simultaneous determination of temperature properties of petroleum diesel by near infrared spectrometry
title_fullStr Multivariate calibration strategy in simultaneous determination of temperature properties of petroleum diesel by near infrared spectrometry
title_full_unstemmed Multivariate calibration strategy in simultaneous determination of temperature properties of petroleum diesel by near infrared spectrometry
title_sort multivariate calibration strategy in simultaneous determination of temperature properties of petroleum diesel by near infrared spectrometry
publisher SAGE Publications
publishDate 2022
url http://eprints.um.edu.my/41048/
_version_ 1772811762178981888
score 13.211869