scholarly journals Biosurfactant Production by Bacillus strains isolated from sugar cane mill wastewaters

Author(s):  
Elane Cristina Lourenço dos Santos ◽  
Daniele Alves dos Reis Miranda ◽  
Amanda Lys dos Santos Silva ◽  
Ana Maria Queijeiro López
2017 ◽  
Vol 43 (3) ◽  
pp. 205-211 ◽  
Author(s):  
Khouloud M. Barakat ◽  
Sahar W.M. Hassan ◽  
Osama M. Darwesh

2011 ◽  
Vol 7 (6) ◽  
Author(s):  
Yousef Rahimi Kashkouli ◽  
Azadeh Mogharei ◽  
Saman Mousavian ◽  
Farzaneh Vahabzadeh

Artificial neural network (ANN) was successfully applied to model fermentation parameters for biosurfactant production by Bacillus subtilis ATCC 6633 using sugar cane molasses. Cell growth and biosurfactant production were monitored along the surface activity of the cell-free broth. Response surface methodology (RSM) as a formal statistical model building system was used for the ANN development. The network predicted biosurfactant concentration was 0.381 g/l which showed almost no differences with the relevant experimental value which obtained according to the RSM arrangement. Furthermore, the ANN surface tension reduction was 30.48 mN/m, which was within 3.24% of the experimental value. Comparisons between RSM and the ANN showed preference of using ANN as complementary to RSM and not as a replacement to it.


2017 ◽  
Vol 16 (3) ◽  
pp. 113-123 ◽  
Author(s):  
D. Diallo NDeye ◽  
MBengue Malick ◽  
NGuer Massaer ◽  
Ka Mouhamed ◽  
Tine Emmanuel ◽  
...  

1959 ◽  
Vol 9 (9) ◽  
pp. 482-486
Author(s):  
M. C. Bennett ◽  
D. A. Haydon

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