Artificial Neural Networks for Quantitative Analysis of Ade-Cyt Mixtures by UV-Vis Spectrophotometry

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Authors	CUKROWSKA Ewa TRNKOVÁ Libuše KIZEK René HAVEL Josef
Year of publication	1999
Type	Article in Proceedings
Conference	Chemometrics V
MU Faculty or unit	Faculty of Science
Citation
Field	Analytic chemistry
Keywords	Absorption Spectra of Purine and Pyrimidine Derivatives; Adenine; Cytosine; Artificial Neural Networks; Experimental Design
Description	This work presents the application of experimental desing and artificial neural networks for quantifying purine and pyrimidine in mixtures studied by UV-Vis spectrophotometry. Multivariate calibration based on a suitable experimental design (ED) and soft modelling with artificial neural networks (ANNs) is used for quantitative analysis of highly overlapped absorbance spectra of adenine and cytosine.
Related projects:	Electrodes modified with nucleic acids and proteins. New tools in biochemical and biomedical research