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Using calibrations developed for fine milled meat and bone meal on spectra measured on non-milled samples

机译:使用针对精细研磨的肉和骨粉开发的校准,基于在非研磨样品上测得的光谱

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A database of 316 near infrared (NIR) spectral data from finely milled meat and bone meal (MBM) samples were analysed in a Foss NIRSystems 6500 SY-II using the rectangular 1/4 cup. Calibration equations were developed for the prediction of crude protein and ash, two of the parameters used for quality control and payment in commercial MBM meal transactions (R{sup}2{sub}(CP) = 0.96, SECV{sub}(CP)= 1.31; R{sup}2{sub}(ashes)=0.94, SECV{sub}(ashes)=0.91). Additionally, the possibility of using calibrations developed with fine milling samples to predict spectra obtained in the same instrument and analysed in the non-milled form, using the rectangular natural cup was examined. Three different standardisation sets were evaluated for optical matching of the samples analysed in the two different modes. The best standardisation matrix was applied to 10 validation samples. The predicted values from standardised spectra of non-milled samples analysed in the large cups and the predicted values from spectra of milled samples gave standard error of differences (SED) for CP (0.74) and ash (0.62) that were similar to, or even lower than, the standard error of prediction {SEP) values for the same milled samples scanned in the rectangular 1/4 cup (1.28 and 1.11, respectively). The study suggests that NIR equations developed for fine milled products analysed using a small window size may be used in the same instrument for the analysis of non-milled products analysed under a larger optical window.
机译:使用矩形1/4杯在Foss NIRSystems 6500 SY-II中分析了来自精细研磨的肉和骨粉(MBM)样品的316个近红外(NIR)光谱数据的数据库。开发了用于预测粗蛋白和灰分的校准方程,这是用于商业MBM粗粉交易中质量控制和支付的两个参数(R {sup} 2 {sub}(CP)= 0.96,SECV {sub}(CP) = 1.31; R {sup} 2 {sub}(灰)= 0.94,SECV {sub}(灰)= 0.91)。此外,还研究了使用矩形研磨杯使用精细研磨样​​品开发的校准来预测在同一仪器中获得并以非研磨形式进行分析的光谱的可能性。评估了三个不同的标准化组,以两种不同模式对样品进行光学匹配。最佳标准化矩阵应用于10个验证样本。在大杯中分析的非研磨样品的标准化光谱的预测值和研磨样品的光谱的预测值给出的CP(0.74)和灰分(0.62)的标准差(SED)与相似,甚至低于在矩形1/4杯中扫描的相同研磨样品的预测(SEP)值的标准误差(分别为1.28和1.11)。研究表明,为使​​用小窗口尺寸分析的精细研磨产品开发的NIR方程可在同一仪器中用于分析在较大光学窗口下分析的非研磨产品。

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