Response surface methodology (RSM) as a tool for optimization in analytical chemistry.
By M. Bezerra, R. Santelli, E. P. Oliveira, Leonardo S. Villar, Luciane Amélia Escaleira. Talanta: The International Journal of Pure and Applied Analytical Chemistry, 2008
5,703 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Management Science and Operations Research, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/1d4303e0618ea876e8014c83a9ddc49618441704
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In Analytical Chemistry
In Management Science and Operations Research
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Citations in the corpus
- Pelletization of wood and alternative residual biomass blends for producing industrial quality pellets (2019, methodology): “Response surface methodology (RSM) was used to simultaneously optimize the pelletization variables of pine sawdust to ensure the best process performance [38].”
- A critical analysis of extraction techniques used for botanicals: Trends, priorities, industrial uses and optimization strategies (2018, methodology): “RSM is a statistical method which uses multifactorial approach for optimization of complex processes [180].”
- Breakthrough adsorption study of a commercial activated carbon for pre-combustion CO2 capture (2011, neutral): “The objective of this technique is to simultaneously optimize the levels of the studied variables in order to attain the best process performance [24].”