2018
DOI: 10.3390/colloids2030036
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Statistical Design, a Powerful Tool for Optimizing Biosurfactant Production: A Review

Abstract: 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 … Show more

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Cited by 50 publications
(37 citation statements)
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“…The most widely used statistical designs for the optimisation of media suitable for SAMs (e.g. biosurfactant) production are factorial design and Response Surface Methodologies (RSM) [ 257 ]. In fact, factorial design such as Plackett–Burman Design (PBD) has been employed to optimise the cost-effective culture medium for EPS production in L. rhamnosus by modifying single- and multi-factor-at-a-time (i.e.…”
Section: Challenges Of Lactobacillus Sams Applicatmentioning
confidence: 99%
“…The most widely used statistical designs for the optimisation of media suitable for SAMs (e.g. biosurfactant) production are factorial design and Response Surface Methodologies (RSM) [ 257 ]. In fact, factorial design such as Plackett–Burman Design (PBD) has been employed to optimise the cost-effective culture medium for EPS production in L. rhamnosus by modifying single- and multi-factor-at-a-time (i.e.…”
Section: Challenges Of Lactobacillus Sams Applicatmentioning
confidence: 99%
“…The most requested statistical models are the response surface methodology (RSM) and the factorial design. For optimization, researchers generally evaluate different aspects such as crop conditions and nutritional factors, often including carbon and nitrogen concentrations and their proportions [6].…”
Section: Of 15mentioning
confidence: 99%
“…The global biosurfactant/bioemulsifier market is expected to reach $2.2 billion by 2019, based on a growth rate of 3.5% per year. In addition, the global projected production market is estimated at 476,512.2 tons due to increased demand from Asia, Africa, and Latin America, which account for 21% of total production [6].…”
Section: Of 15mentioning
confidence: 99%
“…A few decades ago, the traditional one-factor-at-a-time (OFAT) technique dominated literature and still applies today in the early stages of bioprocess optimization (Nicolo et al 2017 ). This method, with its inherent limitations of tedium and inability to account for interaction effects between and among independent variables, has been largely replaced with more robust techniques like response surface methodology (RSM) and artificial neural network (ANN) (Bertrand et al 2018 ).…”
Section: Introductionmentioning
confidence: 99%