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

• 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
• 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.

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