eprintid: 13963
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/39/63
datestamp: 2023-11-10 03:28:31
lastmod: 2023-11-10 03:28:31
status_changed: 2023-11-10 01:52:24
type: article
metadata_visibility: show
creators_name: Yusop Nurida, M.
creators_name: Norfadilah, D.
creators_name: Siti Aishah, M.R.
creators_name: Zhe Phak, C.
creators_name: Saleh, S.M.
title: Monitoring of CO2 Absorption Solvent in Natural Gas Process Using Fourier Transform Near-Infrared Spectrometry
ispublished: pub
keywords: Absorption spectroscopy; Carbon dioxide; Gas absorption; Infrared spectroscopy; Multivariant analysis; Near infrared spectroscopy; Solvents; Spectrometry; Water absorption, Coefficient of determination; Concentration determination; Fourier transform near infrared; Fourier transform near infrared spectroscopy; Multivariate analysis methods; Multivariate statistical techniques; Nondestructive determination; Partial least square (PLS), Infrared devices
note: cited By 3
abstract: The analytical methods for the determination of the amine solvent properties do not provide input data for real-time process control and optimization and are labor-intensive, time-consuming, and impractical for studies of dynamic changes in a process. In this study, the potential of nondestructive determination of amine concentration, CO2 loading, and water content in CO2 absorption solvent in the gas processing unit was investigated through Fourier transform near-infrared (FT-NIR) spectroscopy that has the ability to readily carry out multicomponent analysis in association with multivariate analysis methods. The FT-NIR spectra for the solvent were captured and interpreted by using suitable spectra wavenumber regions through multivariate statistical techniques such as partial least square (PLS). The calibration model developed for amine determination had the highest coefficient of determination (R2) of 0.9955 and RMSECV of 0.75. CO2 calibration model achieved R2 of 0.9902 with RMSECV of 0.25 whereas the water calibration model had R2 of 0.9915 with RMSECV of 1.02. The statistical evaluation of the validation samples also confirmed that the difference between the actual value and the predicted value from the calibration model was not significantly different and acceptable. Therefore, the amine, CO2, and water models have given a satisfactory result for the concentration determination using the FT-NIR technique. The results of this study indicated that FT-NIR spectroscopy with chemometrics and multivariate technique can be used for the CO2 solvent monitoring to replace the time-consuming and labor-intensive conventional methods. © 2020 Mohd Yusop Nurida et al.
date: 2020
publisher: Hindawi Limited
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079742383&doi=10.1155%2f2020%2f9830685&partnerID=40&md5=6ef0a96dad9145928240c39db36a169f
id_number: 10.1155/2020/9830685
full_text_status: none
publication: International Journal of Analytical Chemistry
volume: 2020
refereed: TRUE
issn: 16878760
citation:   Yusop Nurida, M. and Norfadilah, D. and Siti Aishah, M.R. and Zhe Phak, C. and Saleh, S.M.  (2020) Monitoring of CO2 Absorption Solvent in Natural Gas Process Using Fourier Transform Near-Infrared Spectrometry.  International Journal of Analytical Chemistry, 2020.   ISSN 16878760