在手持式仪器和工艺仪器之间传递颗粒校准值

F. Benozzo, P. Berzaghi
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引用次数: 0

摘要

作者总结:仪器之间的校准转移是在多个单位上使用校准值的关键问题。在相同类型的光谱仪之间转移相对容易,但在不同仪器型号之间可能存在问题。来自意大利北部的270个小麦样本使用了Corona Extreme和Aurora手持近红外光谱仪进行了扫描。从原始数据集中删除来自三个不同位置的样本(n = 46),并用于外部验证。PLS校准性能令人满意,对Aurora手持NIR和Corona Extreme的SECV分别为0.09%和0.13%,0.28%和0.45%。手持式仪器和工艺仪器的水分验证性能分别为0.07%和0.11%,蛋白质验证性能分别为0.27%和0.37%。当使用相同的校准来预测不同仪器的样品时,对于日冕极端预测极光手持近红外,水分的SEP分别为0.08%和0.19%,蛋白质的SEP分别为0.34%和0.47%。这两种仪器都能准确预测小麦的相关参数,并且可以使用相同的校准方法,避免了耗时的标准化过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Transfer of grain calibrations between a handheld and a process instrument
Author Summary: Transfer of calibrations between instruments is a key issue to use the value of a calibration over multiple units. Transfer is relatively easy between spectrometers of the same type but can be problematic between different instrument models. Two hundred and seventy samples of wheat from Northern Italy were scanned using a Corona Extreme and an Aurora handheld NIR. Samples (n = 46) from three different locations were removed from the original dataset and used for external validation. The PLS calibrations performances were satisfactory, with SECV for Moisture of 0.09 % and 0.13 % and for Protein of 0.28 % and 0.45 %, respectively for Aurora handheld NIR and Corona Extreme. Performance of validation (SEP) within instrument was of 0.07 % and 0.11 % for Moisture and of 0.27 % and 0.37 % for Protein, for the handheld and the process instrument, respectively. When the same calibrations were used to predict samples across instruments, the SEP was of 0.08 % and 0.19 % for Moisture and of 0.34 % and 0.47 % for Protein, for Corona Extreme predicting Aurora handheld NIR and vice versa, respectively. Both instruments can accurately predict the parameters of interest on wheat and could use the same calibration avoiding time-consuming standardization procedures.
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