首页> 外文期刊>International Dairy Journal >Near-infrared spectroscopy for biomonitoring: influence of somatic cellcount on cow's milk composition analysis
【24h】

Near-infrared spectroscopy for biomonitoring: influence of somatic cellcount on cow's milk composition analysis

机译:用于生物监测的近红外光谱:体细胞数对牛乳成分分析的影响

获取原文
获取原文并翻译 | 示例
           

摘要

The influence of milk with high somatic cell count on the accuracy of near-infrared spectroscopic determination of fat, protein and lactose content of non-homogenized milk was investigated. Transmittance spectra of 258 milk samples were obtained by the NIRSystem 6500 spectrophotometer in the 700-1100 nm region. The best accuracy for fat, protein and lactose content determination was found for calibration equations, derived from samples with low somatic cell count (SCC). The standard error of prediction increased and the correlation coefficient decreased significantly, both when equations, derived from samples with low SCC milk were used to predict the content of the examined components in samples with high SCC, and when equations, obtained for samples with high SCC were used to predict the content of the components in samples with low SCC. Therefore, milk samples with high SCC in a data set used for calibration or prediction highly influenced the accuracy of fat, protein and lactose determination.
机译:研究了体细胞数高的牛奶对近红外光谱法测定非均质牛奶中脂肪,蛋白质和乳糖含量的准确性的影响。通过NIRSystem 6500分光光度计在258-1100 nm范围内获得了258个牛奶样品的透射光谱。对于脂肪分子,蛋白质和乳糖含量测定的最佳准确性,是通过低体细胞计数(SCC)的样品得出的校准方程式得出的。当使用来自低SCC牛奶样品的方程式来预测高SCC样品中被检成分的含量时,以及使用方程式获得高SCC样品的方程时,预测的标准误都会增加,相关系数显着降低用来预测低SCC样品中各组分的含量。因此,用于校准或预测的数据集中具有较高SCC的牛奶样品会极大地影响脂肪,蛋白质和乳糖测定的准确性。

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