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基于非参数变化系数回归的校准转移

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概括
此摘要是机器生成的。

校准转移 (CT) 对于近红外 (NIR) 光谱学是必不可少的,因为仪器的可变性. 一种新的非参数变化系数回归校准转移 (NVT) 方法有效地减少了光谱差异,并提高了仪器之间的分析精度.

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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) 光谱技术可以快速进行化学分析.
  • 仪器对仪器的变化阻碍了校准模型的普遍应用.
  • 校准转移 (CT) 对于在不同NIR仪器中应用模型至关重要.

研究的目的:

  • 开发和评估一种新的非参数校准转移 (CT) 方法,称为非参数变化系数回归校准转移 (NVT).
  • 评估NVT在减少光谱差异和改善各种样本矩阵和分析物的分析精度方面的有效性.
  • 将NVT性能与已建立的CT技术进行比较,例如光谱空间转换 (SST) 和分片直接标准化 (PDS).

主要方法:

  • 使用B-splines开发了一个变系数模型 (VCM),以建立主和奴隶光谱之间的功能关系.
  • 将奴隶光谱转移到主光谱空间以减轻特定仪器的变化.
  • 应用NVT以确定玉米中的水分,油,蛋白质和粉,以及烟草中的植物化物,糖和的总量.

主要成果:

  • NVT有效地减少了因仪器变化而产生的光谱差异.
  • 在不同的仪器中,NVT显著提高了NIR模型的分析准确性.
  • 与PDS相比,NVT表现出优越的性能,并且比SST有点更好的性能.
  • 该NVT方法被证明是参数不敏感的,简化了它的应用.

结论:

  • 在NIR光谱学中,NVT为校准转移提供了一个强大的,用户友好的方法.
  • 这种方法提供了一种有价值的新策略,用于处理化学计量建模中的仪器变异性.
  • NVT提高了NIR校准模型的可靠性和可转移性,扩大了它们的实际应用.