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.

中文翻译：

---

使用傅里叶变换近红外光谱法监测天然气工艺中的二氧化碳吸收溶剂。

用于确定胺溶剂性质的分析方法无法提供用于实时过程控制和优化的输入数据，并且劳动强度大，耗时且对于研究过程中的动态变化不切实际。在这项研究中，可以无损确定胺浓度，CO ₂含量和CO _2中的水分含量通过傅立叶变换近红外（FT-NIR）光谱技术研究了气体处理单元中的吸收溶剂，该技术能够轻松地与多变量分析方法结合进行多组分分析。通过多元统计技术（例如偏最小二乘（PLS））使用合适的光谱波数区域，捕获并解释了溶剂的FT-NIR光谱。用于胺测定的校准模型具有最高的测定系数（R ²）为0.9955和RMSECV为0.75％。CO ₂校准模型的R ²为0.9902，RMSECV为0.25％，而水校准模型的R ²为R ²0.9915，RMSECV为1.02％。验证样品的统计评估还证实，来自校准模型的实际值和预测值之间的差异没有显着差异并且可以接受。因此，胺，CO ₂和水模型为使用FT-NIR技术进行浓度测定提供了令人满意的结果。这项研究的结果表明，结合化学计量学和多元技术的FT-NIR光谱可用于监测CO ₂溶剂，从而取代了费时费力的常规方法。