应用一个短波口袋尺寸的近红外光谱仪来预测牛奶质量特征
Alberto Guerra1, Massimo De Marchi1, Giovanni Niero1
1Department of Agronomy, Food, Natural resources, Animals and Environment, University of Padova, 35020 Legnaro (PD), Italy.
Journal of dairy science
|January 21, 2024
概括
便携式近红外 (NIR) 设备可以准确预测牛奶脂肪含量. 这些手持NIR工具提供了粗略选牛奶蛋白和乳酪蛋白的潜力,但不是乳糖或尿素等其他成分.
科学领域:
- 乳制品科学 乳制品科学
- 分析化学 分析化学
- 频谱学是一种光谱学.
背景情况:
- 便携式近红外 (NIR) 技术正在进步,但其用于牛奶质量评估的应用仍未得到充分探索.
- 短波NIR光谱仪为快速的现场牛奶分析提供了潜力.
研究的目的:
- 评估使用口袋式短波NIR设备来预测牛奶质量参数的可行性.
- 评估各种牛奶成分的NIR预测的准确性.
主要方法:
- 在两天内从各种牛品种和牛群收集了331个牛奶样本.
- 用了两个口袋尺寸的NIR光谱仪 (7401,070nm) 来收集光谱数据.
- 开发了经过修改的部分最小平方回归模型,具有5倍交叉验证和外部验证.
主要成果:
- 牛奶脂肪预测模型的准确性很高 (R2ExV=0.93,RPDExV=3.73).
- 蛋白质,素和脂肪与蛋白质比率的模型显示了粗略选的潜力 (R2ExV>0.70,RPDExV>1.73).
- 对于乳糖,尿素,体细胞计数 (SCC) 和点,观察到预测准确度较差.
结论:
- 短波便携式NIR设备对于准确预测牛奶脂肪含量是非常有效的.
- 这些设备可以用于初步选牛奶蛋白,乳酪蛋白和脂肪与蛋白质的比率.
- 评估的NIR波长范围不足以准确预测乳糖,尿素,SCC和点.
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