A chemometric study of chromatograms of tea extracts by correlation optimization warping in conjunction with PCA, support vector machines and random forest data modeling

A reverse phase high performance liquid chromatography (HPLC) separation was established for profiling water soluble compounds in extracts from tea. Whole chromatograms were pre-processed by techniques including baseline correction, binning and normalisation. In addition, peak alignment by correctio...

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Veröffentlicht in:	Analytica chimica acta 2009-05, Vol.642 (1), p.257-265
Hauptverfasser:	Zheng, L., Watson, D.G., Johnston, B.F., Clark, R.L., Edrada-Ebel, R., Elseheri, W.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Analytical chemistry Artificial Intelligence Chemistry Chromatographic methods and physical methods associated with chromatography Chromatography, High Pressure Liquid - methods Correlation optimization warping Exact sciences and technology Mass Spectrometry Other chromatographic methods Pattern Recognition, Automated Prediction Principal Component Analysis Principle component analysis Random forest Support vector machines Tea Tea - chemistry Time Factors Warping
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