Artificial Neural Networks for Quantitative Analysis of Ade-Cyt Mixtures by UV-Vis Spectrophotometry
| Authors | |
|---|---|
| Year of publication | 1999 |
| Type | Article in Proceedings |
| Conference | Chemometrics V |
| MU Faculty or unit | |
| 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: |