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

• Autoři: CUKROWSKA Ewa; TRNKOVÁ Libuše; KIZEK René; HAVEL Josef
• Rok publikování: 1999
• Druh: Článek ve sborníku
• Konference: Chemometrics V
• Fakulta / Pracoviště MU: Přírodovědecká fakulta
• Obor: Analytická chemie, separace
• Klíčová slova: Absorption Spectra of Purine and Pyrimidine Derivatives; Adenine; Cytosine; Artificial Neural Networks; Experimental Design
• Popis: 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.

Související projekty

• Elektrody modifikované nukleovými kyselinami a bílkovinami. Nové nástroje v biochemickém a biomedicínském výzkumu