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pro vyhledávání: '"Willem Windig"'
Publikováno v:
Windig, W, Bogomolov, A & Kucheryavskiy, S 2020, Two-Way Data Analysis: Detection of Purest Variables . in S Brown, R Tauler & B Walczak (eds), Comprehensive Cheometircs : Chemical and Biochemical Data Analysis . 2 edn, vol. 2, Elsevier, pp. 275-307 . https://doi.org/10.1016/B978-0-12-409547-2.14747-X
This chapter is focused on approaches used for the detection of purest variables (or samples) in two-way data analysis. The concept of purity is a powerful tool for mixture analysis by spectroscopic or similar methods. Finding rows or columns of the
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https://vbn.aau.dk/da/publications/02c34fc2-1d85-43ef-9d8e-d415c5163f26
https://vbn.aau.dk/da/publications/02c34fc2-1d85-43ef-9d8e-d415c5163f26
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 117:159-168
A problem with self-modeling mixture analysis solutions is the range of solutions that is generally possible. The range of solutions goes from those with high contrast spectra and low contrast contributions/images to solutions with high contrast cont
Publikováno v:
Applied Spectroscopy. 60:713-722
Multivariate curve resolution (MCR) is a powerful technique for extracting chemical information from measured spectra of complex mixtures. A modified MCR technique that utilized both measured and second-derivative spectra to account for observed samp
Autor:
Willem Windig
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 77:206-214
Recently, Massart's research group showed the potential of the Durbin-Watson criterion as a tool to determine the pseudo-rank of mixture data sets using stepwise interactive self-modeling mixture analysis approaches. The Durbin-Watson criterion is a
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 77:85-96
Recently, a new SIMPLISMA approach was described where both the conventional spectral intensities (for pure variables of wide spectral features) and second derivative spectral intensities (for pure variables of narrow spectral features, overlapping w
Autor:
Barry M. Wise, Jeremy M. Shaver, Neal B. Gallagher, Willem Windig, Julian Morris, Elaine Martin
Publikováno v:
Chemometrics and Intelligent Laboratory Systems. 73:105-117
Multivariate curve resolution (MCR) is a powerful technique for extracting chemical information from multivariate images (MI). Two problems with MI are (1) initializing the MCR decomposition and (2) lack of selectivity in the image. Methods derived f
Publikováno v:
Applied Spectroscopy. 57:1575-1584
In analytical laboratories, one often has to deal with sample series that have minor differences between them. For example, different batches of the same material may cause manufacturing problems, and quality control is an important issue. Another ex
Publikováno v:
Magnetic Resonance in Chemistry. 40:S60-S71
Pulsed gradient spin-echo (PGSE) NMR, when coupled with the appropriate data processing algorithm, is a useful method for mixture analysis. Direct exponential curve resolution algorithm (DECRA) is demonstrated as a method that may be used to obtain p
Publikováno v:
Analytica Chimica Acta. 446:465-474
Electrospray liquid chromatography/mass spectrometry (LC/MS) is a powerful analytical tool, increasingly used at Eastman Kodak Company. Due to high noise in the resulting data, it can take up to 4 h for an experienced analyst to extract the proper in
Publikováno v:
Journal of Chemometrics. 14:213-227
DECRA (direct exponential curve resolution algorithm) is a fast multivariate method used to resolve spectral data with concentration profiles that are linear combinations of exponential functions. DECRA has been previously applied to a wide variety o