食品软质的均性评估方法,基于通过造近红外光谱学测试的含水量测试
Qian Zhang1,2, Sicong Yan2, Man Xiao2
1Hubei Key Laboratory of Resource Utilization and Quality Control of Characteristic Crops, College of Life Science and Technology, Hubei Engineering University, Xiaogan, 432000, China.
Food chemistry: X
|December 4, 2025
概括
靠近红外 (NIR) 光谱仪使用新型造装置精确测量食品软质中的水分分布. 这种技术确保了质量控制,并优化了基于化物产品的配方.
科学领域:
- 食品科学与技术 食品科学与技术
- 材料科学 材料科学 材料科学
- 分析化学 分析化学
背景情况:
- 准确评估聚合物分散均性对于食品软物质的物理化学特性和加工稳定性至关重要.
- 了解结构演变和水分均性是优化食品配方的关键.
研究的目的:
- 开发和验证近红外 (NIR) 光谱法用于定量评估聚合物分散均性的方法.
- 在造食品软物质期间实时评估水分分布和结构演变.
- 为了比较部分最小平方 (PLS) 和主要组件分析 (PCA) 的性能,用于光谱数据分析.
主要方法:
- 一个水平造装置与近红外 (NIR) 光谱仪相集成,用于获得空间分辨率的反射频谱.
- 标志性吸收波段 (1180和1260nm) 被确定为对水分敏感的指标.
- 部分最小平方 (PLS) 和主要成分分析 (PCA) 用于构建含水量和均性的预测模型.
主要成果:
- 通过NIR光谱绘图,成功地描述了软物质分散中的水化均性和兼容性.
- 对于与湿度相关的光谱反应,PLS模型显示出高预测精度 (R2>0.85) 和低误差 (<2%).
- 在预测光谱反应和评估辐射位置的均性方面,PLS的表现优于PCA.
结论:
- 开发的基于NIR的光谱映射方法为软物质分散的实时特征提供了可靠的方法.
- 这种技术对于过程监测,配方优化和基于类化合物的食品制造中的质量控制是有价值的.
- 该研究强调了NIR光谱技术在促进对食品软物质系统的理解和控制方面的潜力.
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