New antimicrobial quinolones - 1. Mathematical and neural modeling of diethyl ethoxymethylene malonate synthesis
Oniscu, C; Dumitrascu, A; Curteanu, S; Pintilie, L; Cernatescu, C; Mocanu, A
| HERO ID | 4936241 |
|---|---|
| In Press | No |
| Year | 2007 |
| Title | New antimicrobial quinolones - 1. Mathematical and neural modeling of diethyl ethoxymethylene malonate synthesis |
| Authors | Oniscu, C; Dumitrascu, A; Curteanu, S; Pintilie, L; Cernatescu, C; Mocanu, A |
| Journal | Romanian Biotechnology Letters |
| Volume | 12 |
| Issue | 1 |
| Page Numbers | 3089-3101 |
| Abstract | The most difficult and costly step in the industrial manufacturing of antimicrobial quinolones is the synthesis of ethoxymethylene malonate (EMME), which is influenced by three main parameters: ethyl orthoformate/diethyl malonate molar ratio, acetic anhydride/diethyl l malonate molar ratio and time. In order to establish the optimum reaction conditions a planned factorial experiment of second-degree order was accomplished, in which the real values of the parameters and their limits Of variation were chosen arbitrarily. Feedforward neural networks with a single hidden layer were used in direct and inverse modeling of the process, to predict the yield of the reaction for different reaction conditions or the reaction conditions for a pre-established yield. Both mathematical modeling and the neural modeling of EMME obtaining process enabled to settle the optimum values of the parameters for a maximum yield in EMME. |
| Wosid | WOS:000254715400008 |
| Is Certified Translation | No |
| Dupe Override | No |
| Is Public | Yes |
| Keyword | antimicrobial quinolones; diethyl ethoxymethylene malonate; mathematical modeling; regression equation; neural networks modeling |