...
首页> 外文期刊>Journal of dairy science >Potential estimation of major mineral contents in cow milk using mid-infrared spectrometry
【24h】

Potential estimation of major mineral contents in cow milk using mid-infrared spectrometry

机译:使用中红外光谱法可能估算牛奶中的主要矿物质含量

获取原文
获取原文并翻译 | 示例
           

摘要

Milk and dairy products are a major source of minerals, particularly calcium, involved in several metabolic functions in humans. Currently, several dairy products are enriched with calcium to prevent osteoporosis. The development of an inexpensive and fast quantitative analysis for minerals is required to offer dairy farmers an opportunity to improve the added value of the produced milk. The aim of this study was to develop 5 equations to measure Ca, K, Mg, Na, and P contents directly in bovine milk using mid-infrared (MIR) spectrometry. A total of 1,543 milk samples were collected between March 2005 and May 2006 from 478 cows during the Walloon milk recording and analyzed by MIR spectrometry. Using a principal component approach, 62 milk samples were selected by their spectral variability and separated in 2 calibration sets. Five outliers were detected and deleted. The mineral contents of the selected samples were measured by inductively coupled plasma atomic emission spectrometry. Using partial least squares combined with a repeatability file, 5 calibration equations were built to estimate the contents of Ca, K, Mg, Na, and P in milk. To assess the accuracy of the developed equations, a full cross-validation and an external validation were performed. The cross-validation coefficients of determination (R~2cv) were 0.80, 0.70, and 0.79 for Ca, Na, and P, respectively (n = 57), and 0.23 and 0.50 for K and Mg, respectively (n = 31). Only Ca, Na, and P equations showed sufficient R~2cv for a potential application. These equations were validated using 30 new milk samples. The validation coefficients of determination were 0.97, 0.14, and 0.88 for Ca, Na, and P, respectively, suggesting the potential to use the Ca and P calibration equations. The last 30 samples were added to the initial milk samples and the calibration equations were rebuilt. The R~2cv for rnCa, K, Mg, Na, and P were 0.87, 0.36, 0.65, 0.65, and 0.85, respectively, confirming the potential utilization of the Ca and P equations. Even if new samples should be added in the calibration set, the first results of this study showed the feasibility to quantify the calcium and phosphorus directly in bovine milk using MIR spectrometry.
机译:牛奶和乳制品是矿物质的主要来源,尤其是钙,参与人体的几种代谢功能。当前,一些乳制品富含钙以预防骨质疏松症。需要开发一种廉价且快速的矿物质定量分析方法,以便为奶农提供机会来提高所生产牛奶的附加值。这项研究的目的是开发5个方程式,以使用中红外(MIR)光谱法直接测量牛乳中的Ca,K,Mg,Na和P含量。在Walloon牛奶记录期间,从2005年3月至2006年5月,共从478头母牛中收集了1,543份牛奶样品,并通过MIR光谱分析。使用主成分方法,通过光谱差异选择了62个乳样品,并分成2个校准组。检测到五个异常值并将其删除。通过电感耦合等离子体原子发射光谱法测量所选样品的矿物质含量。使用偏最小二乘结合可重复性文件,建立了5个校准方程式来估算牛奶中Ca,K,Mg,Na和P的含量。为了评估所开发方程的准确性,进行了完整的交叉验证和外部验证。交叉验证系数的确定值(R〜2cv)对于Ca,Na和P分别为0.80、0.70和0.79(n = 57),对于K和Mg分别为0.23和0.50(n = 31)。只有Ca,Na和P等式显示出足够的R〜2cv,可用于潜在应用。使用30个新的牛奶样品验证了这些方程式。 Ca,Na和P的确定验证系数分别为0.97、0.14和0.88,这表明有可能使用Ca和P校正方程式。将最后的30个样品添加到初始牛奶样品中,并重新建立校准方程。 rnCa,K,Mg,Na和P的R〜2cv分别为0.87、0.36、0.65、0.65和0.85,证实了Ca和P方程的潜在利用。即使应在校准集中添加新样品,该研究的第一项结果也显示了使用MIR光谱法直接定量牛乳中钙和磷的可行性。

著录项

  • 来源
    《Journal of dairy science》 |2009年第6期|2444-2454|共11页
  • 作者单位

    Gembloux Agricultural University, Animal Science Unit, B-5030 Gembloux, Belgium;

    Gembloux Agricultural University, Animal Science Unit, B-5030 Gembloux, Belgium;

    Walloon Agricultural Research Centre, Quality Department, B-5030 Gembloux, Belgium;

    Gembloux Agricultural University, Animal Science Unit, B-5030 Gembloux, Belgium National Fund for Scientific Research, B-1000 Brussels, Belgium;

    Walloon Breeding Association, B-5590 Ciney, Belgium;

    Milk Committee, B-4651 Battice, Belgium;

    Walloon Agricultural Research Centre, Quality Department, B-5030 Gembloux, Belgium;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    milk; mineral; mid-infrared spectrometry; calcium;

    机译:牛奶;矿物;中红外光谱法钙;

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