对NIR的路径长度影响 极和无极液体食品分析的透射性能
Huseyin Ayvaz1, Ismail Hakki Boyaci2, Mustafa Ogutcu1
1Department of Food Engineering, Faculty of Engineering, Canakkale Onsekiz Mart University, Canakkale 17020, Türkiye.
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
|November 22, 2025
概括
近红外光谱 (NIR) 路径长度显著影响光谱质量和化学测量精度. 最佳的路径长度取决于样本矩阵:无极油的路径较长,极性液体如伏特加的路径较短.
科学领域:
- 分析化学 分析化学
- 频谱学是一种光谱学.
- 化学测量 化学测量 化学测量
背景情况:
- 近红外 (NIR) 透射反射光谱是食品分析的宝贵工具.
- 在NIR光谱学中,辅助路径长度对光谱质量和化学测量模型性能的影响仍未得到充分研究.
- 需要进行系统的评估,以优化对各种样本矩阵的补丁长度选择.
研究的目的:
- 为了研究辅助片段长度 (1-6毫米) 对光谱特征的影响.
- 评估路径长度对部分最小平方回归 (PLSR) 模型准确性的影响,用于两个不同的液体食品系统.
- 为在NIR光谱应用中选择斑块长度提供实用指导.
主要方法:
- 使用桌面和手持FT-NIR光谱仪获取NIR光谱 (10,000-4000厘米-1和7407-3921厘米-1).
- 在两个液态矩阵中评估四个方位长度 (1,2,4,6毫米):无极橄油 (伪造) 和极极甲醇加的伏特加.
- 对光谱数据和PLSR模型性能 (SEP,r,RPD) 的分析,以确定最佳路径长度.
主要成果:
- 在无极橄油中,更长的斑块长度 (4-6毫米) 增强了光谱特征,并提高了%GPOO预测准确度 (SEP=0.56%,RPD=52.6).
- 在极性甲醇-伏特加中,1毫米的补丁宽度是最佳的,以避免OH吸收的光谱和,从而产生高精度 (SEP=0.036%,RPD=47.2).
- 手持NIR设备显示了类似的趋势,但与基准仪器相比,预测性能较低.
结论:
- 配件补丁长度是一个影响NIR光谱质量和化学测量模型性能的关键参数.
- 最佳路径长度的选择取决于矩阵:无极样本的中长路径 (4-6毫米),极样本的短路径 (1毫米).
- 这些发现为优化食品分析中NIR光谱法开发提供了基本的实际指导.
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