分析测试百科网 认证会员,请放心拨打!
诚信认证:
工商注册信息已核实!下载地址2:95934红外谱混合物解卷积.pdf
IR Spectroscopic Mixture Deconvolution
Introduction
Deconvolution of mixtures using various spectroscopic techniques is a challenging task. Manual separation of spectral components, even when they are known in advance, is a tedious job. Bio-Rad has been researching the automation of spectroscopic analysis utilizing computer technologies. Spectral search against a large data collection is an obvious method. However, the spectrum of an unknown mixture rarely exists in a collection of reference spectra. A component can be missed as a candidate when its reference spectrum is not one of the top hits. Spectral deduction is often used for separating known from unknown, which depends as much on the availability of reference spectra as it does on a user’s skill.
Alternatively, one can associate a functional group with spectral peaks. This is an additive approach whose success depends on a knowledge base that may not provide a complete picture of the unknown.
Conclusion
These case studies show the advantages of KnowItAll Mixture Analysis over traditional methodologies. Bio-Rad’s extensive tests have proven it to be an accurate and effective technique for rapid and reliable spectroscopic component deconvolution.