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Statistical Design, a Powerful Tool for Optimizing Biosurfactant Production: A Review

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Centro de Investigación en Biotecnología, Universidad Autónoma del Estado de Morelos, Avenida Universidad 1001, Chamilpa, CP 62209 Cuernavaca, Morelos, Mexico
2
Instituto de Ciencias Físicas, Universidad Autónoma Nacional de Mexico (ICF-UNAM), Avenida Universidad 2001, Chamilpa, CP 62210 Cuernavaca, Morelos, Mexico
*
Author to whom correspondence should be addressed.
Colloids Interfaces 2018, 2(3), 36; https://doi.org/10.3390/colloids2030036
Received: 24 July 2018 / Revised: 11 August 2018 / Accepted: 27 August 2018 / Published: 2 September 2018
(This article belongs to the Special Issue Biosurfactants: Trends and Applications)
Biosurfactants (Bs) have been studied for decades and applied in different industrial sectors because of their competitive biochemical characteristics, and the fact that they are environmentally friendly. Current scientific investigations mainly involve the search for novel Bs producing organisms with attractive characteristics. Bs are expected to replace synthetic surfactants in the near future, but low production yields and inefficient downstream processes have prevented their widespread use. Although there are numerous reports on Bs optimization, to date there has been no critical compilation or revision of the statistical designs and strategies employed for improved production. The purpose of this mini review is to briefly discuss the factors that affect Bs production and the importance of statistical design as an essential tool for increasing production. View Full-Text
Keywords: biosurfactants; optimization; production; statistical design biosurfactants; optimization; production; statistical design
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MDPI and ACS Style

Bertrand, B.; Martínez-Morales, F.; Rosas-Galván, N.S.; Morales-Guzmán, D.; Trejo-Hernández, M.R. Statistical Design, a Powerful Tool for Optimizing Biosurfactant Production: A Review. Colloids Interfaces 2018, 2, 36.

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