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Factorial designs: an efficient approach to choosing the main factors influencing growth and hydrolase production by Tetrahymena thermophila
Authors:J.?De?Coninck  author-information"  >  author-information__contact u-icon-before"  >  mailto:j.deconinck@isa-lille.fr"   title="  j.deconinck@isa-lille.fr"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author,B.?Leclercq,J.?M.?Exbrayat,F.?Duyme
Affiliation:(1) Laboratoire de Microbiologie des Fermentations, Institut Supérieur d"rsquo"Agriculture, 41 rue du Port, 59046 Lille Cedex, France;(2) Laboratoire d"rsquo"Informatique et de Statistique, Institut Supérieur d"rsquo"Agriculture, 41 rue du Port, 59046 Lille Cedex, France;(3) Laboratoire de biologie générale, Université Catholique de Lyon/Ecole Pratique des Hautes Etudes, 25 rue du Plat, 69288 Lyon cedex 02, France
Abstract:A fractional factorial design with eight trials was applied to select and model the effects of major factors, individually and in combination, on improving Tetrahymena thermophila growth and enzyme production. Regulated pH at 6.8 and olive oil at 0.5% (v/v) showed positive effects on fermentation, and increased cell growth parameters including generation time and maximal population formation. Lipase and protease production were also improved by these factors and were favoured by cultivation of Tetrahymena in darkness. This statistical experiment offers a beneficial and rapid screening procedure to select the most effective combination of factors influencing fermentation processes.
Keywords:Tetrahymena thermophila  Statistical experimental design  Fermentation  Enzyme production
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