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Spectral feature-based identification of substances

机译:基于光谱特征的物质识别

摘要

A spectroscopic identification method and system are provided that uses the primary or main spectroscopic features of a source, such as those as arising from chemical functional groups, to describe and distinguish the source. These primary spectroscopic features make up a portion (i.e., are a subset) of the entire spectroscopic data for a particular source but can nevertheless be used as the basis of separating spectra from multiple source. When analyzing spectroscopic data obtained from a sample for one or more sources, the analysis first focuses on the primary spectroscopic features for a source rather than the entire spectra for a source.
机译:提供了一种光谱识别方法和系统,其使用源的主要或主要光谱特征(例如由化学官能团产生的特征)来描述和区分源。这些主要光谱特征构成了特定光源整个光谱数据的一部分(即子集),但是仍然可以用作从多个光源分离光谱的基础。当分析从一个或多个源的样品获得的光谱数据时,分析首先关注源的主要光谱特征,而不是源的整个光谱。

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