Response surface methodology for

Response Surface Methodology for Validation of Oral Dosage Forms... 

M.I. Acedo-Valenzuela, T. Galeano-Diaz, N. Mora-Diez, A. Silva-Rodriguez, Response surface methodology for the optimisation of flow-injection analysis with in situ solvent extraction and fluorimetric assay of tricyclic antidepressants, Talanta 66 (2005) 952. 

Xiarchos, I., Jaworska, A., Zakrzewska-Trznadel, G., Response surface methodology for the modelling of copper removal from aqueous solutions using micellar-enhanced ultrafiltration, J. Membr. Sci. 321, 222, 2008. 

Xu, X., liu, Y., Ge, F., Liu, L, and Ouyang, Y. (2013) Application of response surface methodology for optimization of azocarmine B removal by heterogeneous photo-Fenton process using hydroxy-iron aluminum pillared bentonite. Appl Surf. ScL, 280,926 932. 

E. J. Klein, S. L Rivera, A Review of Criteria Functions and Response Surface Methodology for the Optimization of Analytical-Scale HPLC Separations, Marcel Dekker Inc., 2000, p. 2097-2121. 

For the PS case, a three-variable Box-Behnken response surface methodology (RSM) design using formulation variables has been carried out. For the RF system, an eight-variable fractional-factorial screening study was done first to select significant factors, and this was followed by two RSM s which were similar in design to the one done for PS. The results have led directly to substantial improvements in both materials. 

Gonzalez, M. et al.. Optimizing conditions for the extraction of pigments in cochineals Dactylopius coccus Costa) using response surface methodology, J. Agric. Food Chem., 50, 6968, 2002. 

In addition to the basic methods such as SIMPLEX, other key methods for value chain management are the response surface methodology (RSM) to find a global optimum in a multi-dimensional simulation result surface (Merkuryeva 2005) or simulated annealing applied in the chemical production to find optima e.g. for reaction temperatures (Faber et al. 2005). 

Response-surface methodology has been used extensively for determining areas of process operation providing maximum profit. For example, the succinct representation of the rate surface of Eq. (114) indicates that increasing values of X3 will increase the rate r. If some response other than reaction rate is considered to be more indicative of process performance (such as cost, yield, or selectivity), the canonical analysis would be performed on this response to indicate areas of improved process performance. This information... 

Carter, W.H., Jr. (1985), Response Surface Methodology and the Design of Clinical Trials for the Evaluation of Cancer Chemotherapy, Cancer Treatment Reports, 69, 1049-1053. 

Parra R, Aldred D, Magan N. (2005) Medium optimization for the production of the secondary metabolite squalestatin SI by a Phoma sp. combining orthogonal design and response surface methodology. Enzyme Microb Technol 37 704-711. 

Kang, H.A. and Shin, M.G., Optimization of fluidized bed granulating conditions for powdered milk by response surface methodology, /. Korean Soc. Food Sci. Nut., 33 (2004) 225-228. 

The strategy for robust design experiments that will be considered in Section 2.3 is based on the statistical techniques associated with response surface methodology. This section will give an overview of response surface methodology, presenting some of the more common experimental designs that have been developed in this area. 

In response surface methodology, it is frequently assumed that / can be approximated in some region of the design variables by a low-degree polynomial. For example, if p=2, and a first-order model is assumed appropriate then... 

Cornell J.A., How to Apply Response Surface Methodology. Basic References in Quality Control Statistical Techniques, Vol. 8. Milwaukee American Society for Quality Control, 1985. 

There are several systems which can be used to select the solvents of the mobile phase. The number of selected solvents and the solvents which are selected not only depend on the chromatographic problem but also on the method which will be used to optimize the system. With response surface methodology it is appropriate to use a minimum number of solvents. For reasons stated below this minimum number of solvents was four. The second question is, which solvents will be selected, is more difficult to answer when a small number of solvents is used because the consequences of a wrong selection are large. Several approaches are possible to select the solvents. The most simple method is comparison with common solvent systems for the solutes under investigation. A more general approach is to use the selectivity triangle of Snyder [4] in the selection of the solvents. 

The conclusion is therefore that both more solvent compositions and more environmental circumstances should be tested to be able to obtain a suitable and robust separation. A second conclusion that can be dravm is that the signal-to-noise ratio does not contain all relevant information. The consequence is that a different approach is necessary for TLC. This approach will be based on response surface methodology and is developed in the following section. 

Garrote, R. L., Coutaz, V. R., Luna, J. A., Silva, E. R., Bertone, R. A. (1993). Optimizing processing conditions for chemical peeling of potatoes using response surface methodology. J. Food Sci., 58, 821-826. 

R2 Results for the Modeling of the "Dissolution of a Drug" with Two ANN Networks (GFF-MLP, SOFM-MLP) and the Response Surface Methodology (RSM)... 

Ushakumari, S. R., Rastogi, N. K., and Malleshi, N. G. (2007). Optimization of process variables for the preparation of expanded millet using response surface methodology. ]. Food Eng. 82,35-42. 

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