Optimisation of temperature-programmed gas chromatographic separation of organochloride pesticides by response surface methodology

摘要: A response surface methodology (RSM) approach is applied to optimise the temperature-programme gas-chromatographic separation of 16 organochloride pesticides, including 12 compounds identified as highly toxic chemicals by Stockholm Convention on Persistent Organic Pollutants. three-parameter relationship describing both linear and curve temperature programmes derived adapting a model previously used in literature describe concentration gradients liquid chromatography with binary eluents. To investigate influence three profile descriptors (the starting temperature, gradient duration shape parameter), three-level full-factorial design experiments identify suitable combinations above variables spanning over useful domain. Resolutions adjacent peaks are responses modelled RSM using two alternative methods: multi-layer artificial network (ANN) usual polynomial regression. The proposed ANN-based permits simultaneously resolutions all consecutive analyte pairs function descriptors. Four critical giving partially overlapped multiresponse optimisation carried out analysing plot global resolution defined average pairs. Descriptive/predictive performance applicability ANN methods compared discussed.