medium optimisation
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2020 ◽  
Vol 32 (6) ◽  
pp. 3667-3678
Author(s):  
Elisabeth Bermejo ◽  
Ángel Muñoz ◽  
Adrián Ramos-Merchante ◽  
Carlos Vílchez ◽  
Inés Garbayo ◽  
...  

2014 ◽  
Vol 173 (7) ◽  
pp. 1667-1679 ◽  
Author(s):  
Zongchao Jia ◽  
Ying Liu ◽  
Maurycy Daroch ◽  
Shu Geng ◽  
Jay J. Cheng

2014 ◽  
Vol 16 (4) ◽  
pp. 2107-2110 ◽  
Author(s):  
Giulia Paggiola ◽  
Andrew J. Hunt ◽  
Con R. McElroy ◽  
James Sherwood ◽  
James H. Clark

An improved multi-parameter approach to the correlation of enzymatic activity and solvent properties is proposed.


2011 ◽  
Vol 255-260 ◽  
pp. 2940-2948
Author(s):  
Xiao Juan Yu ◽  
Jiang Ya Zhou ◽  
Zhi Ping Wang ◽  
Yang An ◽  
Wei Min Cai

Blooms of the Microcystis aeruginosa in water have been a long-standing problem for water quality and a human-health issue. Public concern for the inhibition of Microcystis aeruginosa has become increasingly urgent. AgBiO3 is an algaecide having good inhibitory effects on the growth of Microcystis aeruginosa with hydroxyl radicals generated by photocatalyst. The inhibition of Microcystis aeruginosa exposed to AgBiO3 was optimised using statistically-based experimental designs. The four variables, namely, ZnSO4, CaCl2, CuSO4 and NaNO3, were screened as significant effects and were further optimised to determine the optimum levels and their interactions. The optimal concentrations of variables for maximum inhibition were 0.24 mg/L ZnSO4, 125.94 mg/L CaCl2, 0.28 mg/L CuSO4 and 600 mg/L NaNO3. The maximum inhibition rate predicted by the model was 61.86%, in near-perfect agreement with the experimental value (60.07%), and significantly better than unoptimised medium (42.79%).


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