| dc.creator | Borges, CN | |
| dc.creator | Breitkreitz, MC | |
| dc.creator | Bruns, RE | |
| dc.creator | Silva, LMC | |
| dc.creator | Scarminio, LS | |
| dc.date | 2007 | |
| dc.date | 42309 | |
| dc.date | 2014-11-18T20:59:09Z | |
| dc.date | 2015-11-26T17:54:11Z | |
| dc.date | 2014-11-18T20:59:09Z | |
| dc.date | 2015-11-26T17:54:11Z | |
| dc.date.accessioned | 2018-03-29T00:37:48Z | |
| dc.date.available | 2018-03-29T00:37:48Z | |
| dc.identifier | Chemometrics And Intelligent Laboratory Systems. Elsevier Science Bv, v. 89, n. 2, n. 82, n. 89, 2007. | |
| dc.identifier | 0169-7439 | |
| dc.identifier | WOS:000250256900003 | |
| dc.identifier | 10.1016/j.chemolab.2007.06.002 | |
| dc.identifier | http://www.repositorio.unicamp.br/jspui/handle/REPOSIP/76415 | |
| dc.identifier | http://www.repositorio.unicamp.br/handle/REPOSIP/76415 | |
| dc.identifier | http://repositorio.unicamp.br/jspui/handle/REPOSIP/76415 | |
| dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1290722 | |
| dc.description | An unreplicated composite mixture design and statistical model are proposed to simultaneously optimize mixture systems having interaction effects. A split-plot design is made up of standard mixture designs at both the main-plot and sub-plot levels. The model is obtained by multiplying Scheffe mixture models for each mixture system. Equations for the coefficients of a special cubic-special cubic balanced model are presented as well as their standard errors for both random and split-plot design structures. The design is applied to the simultaneous optimization of both mobile phase chromatographic mixtures and extraction mixtures for the Baccharis mill flora (Less.) DC plant. The whole-plot extraction mixtures contained varying proportions of ethanol, ethyl acetate and dichloromethane in a simplex centroid design. The sub-plot reversed phase chromatographic mixtures also followed a simplex centroid design in varying proportions of methanol, acetonitrile and a methanol-acetonitrile-water 15:15:70% v/v mixture. Assuming random execution of experiments normal probability graphs for the coefficients of a saturated model were plotted to make an initial determination of significant model coefficients. These parameters were then refined using a reduced model containing a split-plot error structure. Two models were developed to estimate the number of peaks observed using the chromatographic detector at both 2 10 and 254 nm wavelengths. The significant model coefficients are interpreted physically in terms of interacting linear, curvature and special cubic effects. (c) 2007 Elsevier B.V. All rights reserved. | |
| dc.description | 89 | |
| dc.description | 2 | |
| dc.description | 82 | |
| dc.description | 89 | |
| dc.language | en | |
| dc.publisher | Elsevier Science Bv | |
| dc.publisher | Amsterdam | |
| dc.publisher | Holanda | |
| dc.relation | Chemometrics And Intelligent Laboratory Systems | |
| dc.relation | Chemometrics Intell. Lab. Syst. | |
| dc.rights | fechado | |
| dc.rights | http://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy | |
| dc.source | Web of Science | |
| dc.subject | mixture designs | |
| dc.subject | split-plot method | |
| dc.subject | HPLC | |
| dc.subject | extraction medium | |
| dc.subject | Baccharis milleflora | |
| dc.subject | Process Variables | |
| dc.subject | Optimization | |
| dc.title | Unreplicated split-plot mixture designs and statistical models for optimizing mobile chromatographic phase and extraction solutions for fingerprint searches | |
| dc.type | Artículos de revistas | |
