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Multiple response optimization of styrene–butadiene rubber emulsion polymerization
(Pergamon-Elsevier Science Ltd, 2009-04)
A multiple response optimization of styrene-butadiene rubber (SBR) emulsion batch polymerization is proposed. Several properties of latex and rubber were optimized to obtain a particular grade of SBR, namely 1712. Artificial ...
Multiple response optimization of heat shock process for separation of bovine serum albumin from plasma
(Taylor, 2017-08)
Bovine serum albumin produced by heat shock from bovine plasma has been researched for the effects of sodium caprylate concentration [Cap], temperature (T), and pH on yield (Yield%) and purity (BSA%). Response surface ...
Experimental design and multiple response optimization: Using the desirability function in analytical methods development
(Elsevier, 2014-02)
A review about the application of response surface methodology (RSM) when several responses have to be simultaneously optimized in the field of analytical methods development is presented. Several critical issues like ...
Multiple response optimization: Analysis of genetic programming for symbolic regression and assessment of desirability functions
(Elsevier B.V., 2019-09-01)
Multiple responses optimization (MRO) consists in the search for the best settings in an problem with conflicting responses. MRO is performed following the steps: experimental design; experimental data gathering; mathematical ...
A Multiple Response Function for Optimization of Analytical Strategies Involving Multi-elemental Determination
(Bentham Science Publishers, 2016-03)
This paper presents a comparison between a multiple response function (MR) proposed for optimization of analyticalstrategies involving multi-element determinations with the desirability function D, which was proposed by ...
Multi-objective optimization and finite element method combined with optimization via Monte Carlo simulation in a stamping process under uncertainty
(2021-11-01)
The response surface methodology (RSM), which uses a quadratic empirical function as an approximation to the original function and allows the identification of relationships between independent variables xi and dependent ...
Simultaneous optimization of the microextraction of coffee volatiles using response surface methodology and principal component analysis
(Elsevier Science BvAmsterdamHolanda, 2010)
Concentration of EPA and DHA from refined salmon oil by optimizing the urea-fatty acid adduction reaction conditions using response surface methodology
(MDPI AG, 2019)
This research focused on obtaining eicosapentaenoic acid (EPA, 20:5 n-3) and docosahexaenoic acid (DHA, 22:6 n-3) (EPA+DHA) concentrates from refined commercial salmon oil (RCSO). Independent variables of the complexation ...
Optimum design of experiments for statistical inference
(Wiley-Blackwell, 2012-01-01)
. One attractive feature of optimum design criteria, such as D- and A-optimality, is that they are directly related to statistically interpretable properties of the designs that are obtained, such as minimizing the volume ...
Multiple response optimization of a QuEChERS extraction and HPLC analysis of diclazuril, nicarbazin and lasalocid in chicken liver
(Elsevier, 2020-05)
A method for the simultaneous determination of three commonly used coccidiostats in chicken liver was developed, comprising a multi-residue QuEChERS (quick, easy, cheap, effective, rugged and safe) extraction step, and a ...