Resolution of multicomponent overlapped peaks by the orthogonal projection approach, evolving factor analysis and window factor analysis
✍ Scribed by F. Cuesta Sánchez; S.C. Rutan; M.D. Gil García; D.L. Massart
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 848 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0169-7439
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✦ Synopsis
The orthogonal projection approach (OPA), a stepwise approach developed for the determination of the number of compounds present in a multicomponent system, has been extended by including a step that allows the chromatographic and spectroscopic pure compound profiles to be determined. This is done using an alternating least-squares procedure. The initial estimations are the spectra selected in the first step of OPA. The performance of the OPA algorithm is compared with that of two window-based self-modelling curve resolution approaches: evolving factor analysis (EFA) and window factor analysis (WFA).
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The performance of the heurlstlc evolvmg latent proJectIons (HELP) method 1s mvestlgated for peak purity control m hqmd chromatography Hrlth photodlode array detectlon HELP and evolvmg factor analysis performed equally well, both techmques could detect less than 1% of a spectrally slmdar lmpunty eve