Watari Masahiro, Ozaki Yukihiro
Environmental and Analytical Products Business Division, Yokogawa Electric Corporation, Musashino 180-8750, Japan.
Appl Spectrosc. 2006 May;60(5):529-38. doi: 10.1366/000370206777412248.
The present study has investigated a practical calibration correction method for an on-line monitoring system for molten polymers using a near-infrared (NIR) spectrometer. A partial least squares (PLS) calibration model for the ethylene (C2) content in melt polypropylene (PP) was developed for the investigation of changes in the performance of the on-line system before and after maintenance necessitated by the relocation. The predicted values for the C2 content from the spectra measured after maintenance by using the calibration model developed from the spectra collected before maintenance showed that there were some differences between the spectra obtained by the NIR spectrometer system before and after maintenance. The loadings from factor analysis suggested that the main cause for the differences in the system performance before and after maintenance was wavenumber shifts in the NIR spectra of PP in the melt state. Six popular standardization or calibration transfer methods (direct standardization (DS), piecewise direct standardization (PDS), additive correction (AD), multiplicative correction (MP), slope and bias (SB), and difference spectrum with interpolation (DSI)) were evaluated for the calibration correction of the on-line NIR monitoring system. However, the results of the evaluation showed that these standardization methods need more than two samples to obtain the high accuracy for the nonlinearity contained in the spectra set. From the standpoint of practical calibration in a real plant, the acceptable number of samples for the calibration is one or two. Moreover, recalibration using transferred spectra is not preferable because of the traceability for a calibration model. As a practical solution for a calibration correction in a real plant, a method considering wavenumber shift and path-length correction has been proposed in this study. The predicted results for the C2 content in the melt-state PP from the spectra measured after maintenance by using the proposed method have shown that the proposed method is useful for calibration correction in a real plant in spite of using only one sample.
本研究探索了一种针对熔融聚合物在线监测系统的实用校准校正方法,该系统使用近红外(NIR)光谱仪。为研究因重新安置而进行维护前后在线系统性能的变化,建立了熔体聚丙烯(PP)中乙烯(C2)含量的偏最小二乘(PLS)校准模型。使用根据维护前采集的光谱建立的校准模型,对维护后测量的光谱中C2含量的预测值表明,NIR光谱仪系统维护前后获得的光谱存在一些差异。因子分析的载荷表明,维护前后系统性能差异的主要原因是熔融态PP的NIR光谱中的波数偏移。对六种常用的标准化或校准转移方法(直接标准化(DS)、分段直接标准化(PDS)、加法校正(AD)、乘法校正(MP)、斜率和偏差(SB)以及带插值的差谱(DSI))进行了在线NIR监测系统校准校正的评估。然而,评估结果表明,这些标准化方法需要两个以上的样品才能获得光谱集中非线性的高精度。从实际工厂校准的角度来看,校准可接受的样品数量为一两个。此外,由于校准模型的可追溯性,使用转移光谱进行重新校准并不可取。作为实际工厂校准校正的一种实用解决方案,本研究提出了一种考虑波数偏移和光程校正的方法。使用所提出的方法对维护后测量的光谱中熔融态PP的C2含量进行预测的结果表明,尽管仅使用一个样品,所提出的方法对于实际工厂中的校准校正仍是有用的。