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Modelling near infrared instrument differences by chemometric methods: testing for near infrared forage analysis

机译:用化学计量学方法模拟近红外仪器差异:测试近红外饲料分析

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摘要

The possibilities of using the two-block Partial Least Squares (PLS2) method to allow the standardization between the spectra of forage measured in different types of Near Infrared (NIR) instruments, tilting filters and scanning monochromators, are presented. Procedures are developed to transfer spectra from one instrument to another in a network of instruments of different types. PLS1 plus repeatability control is used to build a calibration equation of the network which minimizes the influence of the spectral residuals (remaining after standardization) on the predicted concentrations among the standardized instruments. The validation of the standardization matrix is obtained from representative samples (feed and raw materials) used as standards - yielding a general external validation - or from real samples of Catalonian origin - yielding a specific external validation. With the proposed procedures, the repeatability of concentration measurements among instruments is improved and the number of reference analysis needed is decreased. The possibility is afforded for instruments of lower resolution (e.g., tilting-filter instruments) to participate in the same network as higher resolution instruments (e.g. monochromators) taking advantage of the calibration spectra measured in the latter. (C) 1997 Elsevier Science B.V.
机译:提出了使用两块偏最小二乘(PLS2)方法来标准化在不同类型的近红外(NIR)仪器,倾斜滤光片和扫描单色仪中测得的牧草光谱之间的可能性。开发了在不同类型的仪器网络中将光谱从一种仪器转移到另一种仪器的程序。 PLS1加可重复性控制用于建立网络的校准方程式,该方程式可将光谱残留物(标准化后残留)对标准化仪器中预测浓度的影响最小化。标准化矩阵的验证是从用作标准的代表性样品(饲料和原料)中进行的-进行一般的外部验证-或从加泰罗尼亚血统的真实样品中进行-进行特定的外部验证。通过提出的程序,可以提高仪器之间浓度测量的可重复性,并减少所需的参考分析次数。较低分辨率的仪器(例如,倾斜过滤器仪器)可以利用较高分辨率的仪器(例如,单色仪)与高分辨率仪器(例如单色仪)一起参与同一网络。 (C)1997年Elsevier Science B.V.

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