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利用傅里叶变换近红外光谱法监测天然气加工过程中的CO吸收溶剂

Monitoring of CO Absorption Solvent in Natural Gas Process Using Fourier Transform Near-Infrared Spectrometry.

作者信息

Yusop Nurida Mohd, Norfadilah Dolmat, Siti Aishah Mohd Rozaiddin, Zhe Phak Chan, Saleh Syafiqa M

机构信息

PETRONAS Research Sdn. Bhd., Lot 3288 & 3289, Off Jalan Ayer Itam, Kawasan Institusi Bangi, Kajang 43000, Selangor, Malaysia.

Universiti Teknologi Petronas, Seri Iskandar 32610, Perak, Malaysia.

出版信息

Int J Anal Chem. 2020 Feb 7;2020:9830685. doi: 10.1155/2020/9830685. eCollection 2020.

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, CO loading, and water content in CO 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 ( ) of 0.9955 and RMSECV of 0.75%. CO calibration model achieved of 0.9902 with RMSECV of 0.25% whereas the water calibration model had 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, CO, 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 CO solvent monitoring to replace the time-consuming and labor-intensive conventional methods.

摘要

用于测定胺溶剂性质的分析方法无法为实时过程控制和优化提供输入数据,且劳动强度大、耗时,对于过程动态变化的研究不实用。在本研究中,通过傅里叶变换近红外(FT-NIR)光谱研究了在气体处理单元中对CO吸收溶剂中的胺浓度、CO负载量和水含量进行无损测定的潜力,FT-NIR光谱能够结合多元分析方法轻松进行多组分分析。通过多元统计技术如偏最小二乘法(PLS),利用合适的光谱波数区域捕获并解释了溶剂的FT-NIR光谱。为胺测定建立的校准模型的决定系数( )最高为0.9955,交叉验证均方根误差(RMSECV)为0.75%。CO校准模型的 为0.9902,RMSECV为0.25%,而水校准模型的 为0.9915,RMSECV为1.02%。对验证样品的统计评估也证实,校准模型的实际值与预测值之间的差异无显著差异且可接受。因此,胺、CO和水模型在使用FT-NIR技术进行浓度测定方面给出了令人满意的结果。本研究结果表明,结合化学计量学和多元技术的FT-NIR光谱可用于CO溶剂监测,以取代耗时且劳动强度大的传统方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/716c/7029297/c4e0e54884da/IJAC2020-9830685.001.jpg

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