1998
DOI: 10.1016/s0926-6690(97)10003-6
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Application of the factorial design of experiments and response surface methodology to optimize biodiesel production

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Cited by 392 publications
(204 citation statements)
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“…The homogeneous catalysts include alkalis or acids. The most commonly used alkali catalysts are sodium hydroxide, sodium methoxide and potassium hydroxide 3) 7) , and the preferred acid catalysts include sulfuric acid, hydrochloric acid and sulfonic acid 4), 8) . The heterogeneous catalysts include enzymes 9) 11) , titanium _ silicates, alkaline _ earth metal compounds 12) , guanadines heterogenized on organic polymers 13) , and sugar catalyst 14) .…”
Section: Introductionmentioning
confidence: 99%
“…The homogeneous catalysts include alkalis or acids. The most commonly used alkali catalysts are sodium hydroxide, sodium methoxide and potassium hydroxide 3) 7) , and the preferred acid catalysts include sulfuric acid, hydrochloric acid and sulfonic acid 4), 8) . The heterogeneous catalysts include enzymes 9) 11) , titanium _ silicates, alkaline _ earth metal compounds 12) , guanadines heterogenized on organic polymers 13) , and sugar catalyst 14) .…”
Section: Introductionmentioning
confidence: 99%
“…This specific result obtained for both enzymes with 30 ml of solvent will not be overemphasized, as it does not bring new information nor is it the focus of the present work; i.e., differences found between the performance of Novozym 435 compared to lipozyme Im are not stressed as they may be considered a "classical result" available in the open literature (OlIVEIRA et al, 2005a;VICENTE et al, 1998). Perhaps, the poorer performance verified for Novozym 435, compared to lipozyme Im, may be related to substrate inhibition (alcohol and/or oil), solvent denaturing caused by deleterious interaction between the enzyme-solvent.…”
Section: Resultsmentioning
confidence: 98%
“…This research is often focused on understanding the mechanism or principles underlying experimental observation, or determining the technically feasibility of an emerging technology. Factorial designs are often implemented to study the effect of each effect factor on the response variable (i.e., biofuel yield), as well as the effect of interactions between factors on the response variable [83]. Further, data at the field/lab scale typically has low uncertainty, and is often used for calibration and parameterization in process models.…”
Section: Field Trials and Laboratory Scale Experimentsmentioning
confidence: 99%