中红外光谱法用于预测山羊奶凝固特性
Arianna Goi1, Silvia Magro1, Luigi Lanni2
1Department of Agronomy, Food, Natural Resources, Animals and Environment, University of Padova, Viale dell'Università 16, 35020 Legnaro, Italy.
Foods (Basel, Switzerland)
|July 12, 2025
概括
中红外光谱学 (MIRS) 显示了预测山羊奶凝固特性的潜力,这对于奶酪制造至关重要. 只有凝时间的预测足够准确进行查,这表明MIRS可以帮助改善奶牛山羊部门的牛奶适用性.
科学领域:
- 乳制品科学 乳制品科学
- 分析化学 分析化学
- 农业技术 农业技术
背景情况:
- 牛奶凝固特性 (MCP) 对山羊奶酪的生产和质量至关重要.
- 传统的MCP评估使用耗时的乳动力学分析.
- 中红外光谱 (MIRS) 为评估牛奶技术特征提供了一个快速,大规模的替代方案.
研究的目的:
- 评估MIRS用于预测山羊奶MCP的潜力.
- 评估MIRS根据凝血能力对牛奶样品进行分类的准确性.
- 确定MIRS是否可以成为乳山羊部门的可行工具.
主要方法:
- 从各个农场收集了501个散装山羊奶样本.
- 配对的参考MCP测量与中红外光谱.
- 开发了使用部分最小平方回归和部分最小平方差分分析的预测模型.
主要成果:
- 凝时间的MIRS模型实现了足够精确的查 (R2CrV=0.68,R2Ext=0.66,RPD=2.05).
- 乳酪固时间和乳酪固度模型的性能较低.
- 高凝血能力的分类产生了0.81 (校准) 和0.74 (验证) 的平衡精度值.
结论:
- 在预测某些MCP方面,MIRS显示出有希望的结果,特别是在山羊奶中预测凝时间.
- 为了更广泛的应用,需要进一步细化模型和更大的数据集.
- MIRS可以成为一个有价值的工具,用于监测和提高牛奶适合制造乳酪的乳山羊行业.
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