首页> 外文期刊>Milchwissenschaft >Accuracy of near infrared spectroscopy in relation to precision ofcalibration data
【24h】

Accuracy of near infrared spectroscopy in relation to precision ofcalibration data

机译:与校准数据的精度有关的近红外光谱的准确性

获取原文
获取原文并翻译 | 示例
           

摘要

To obtain a more precise estimate of the accuracy of near infrared (NIR) spectroscopy in determination of total solids and fat in cheese, the measured standard error of prediction (SEP) should be corrected for imprecision of the reference method. High precision of reference data obtained through replicate analyses may not be the optimal goal in practice for the development and maintenance of calibration equations. In a situation of limited resources, it may be better to accept an increase in imprecision by reducing the number of replicate analyses for each sample and instead introducing additional samples. In the case here reported, it was possible to increase the standard deviation related to precision of reference data from 0.08 to 0.14% for total solids and from 0.08 to 0.16% for fat without any pronounced effect on the accuracy of NIR transmission spectroscopy in the calibration range 50-63% for total solids and 23-29% for fat. The mean SEPs were 0.19% for total solids and 0.18% for fat. if the standard deviation was increased from 0.08 to 0.32% for total solids and from 0.08% to 0.28% for fat, the mean absolute increases in SEPs were 0.02% for total solids and 0.03% for fat.
机译:为了更准确地估计近红外(NIR)光谱法在测定奶酪中总固体和脂肪中的准确性,应校正所测得的预测标准误差(SEP),以确保参考方法不精确。通过重复分析获得的高精度参考数据在实践中可能不是开发和维护校准方程式的最佳目标。在资源有限的情况下,最好减少不精确度的增加,方法是减少每个样本的重复分析次数,而引入其他样本。在此处报告的情况下,可以将与参考数据的精度有关的标准偏差从总固体的0.08%增加到0.14%,将脂肪的标准偏差从0.08%增加到0.16%,而不会对校准中的NIR透射光谱的准确性产生任何明显影响总固含量为50-63%,脂肪为23-29%。总固形物的平均SEP为0.19%,脂肪为0.18%。如果将标准偏差从总固体含量的0.08增至0.32%,将脂肪从0.08%的含量提高至0.28%,则SEP的平均绝对增幅分别为总固体含量0.02%和脂肪0.03%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号