Optimization of vibratory nanofiltration for sustainable coffee extract concentration via response surface methodology

Author(s):  
Michael Vincent O. Laurio ◽  
Kirti M. Yenkie ◽  
C. Stewart Slater
2011 ◽  
Vol 2011 ◽  
pp. 1-9 ◽  
Author(s):  
Pilanee Vaithanomsat ◽  
Molnapat Songpim ◽  
Taweesiri Malapant ◽  
Akihiko Kosugi ◽  
Warunee Thanapase ◽  
...  

A newly isolated fungusAspergillus nigerSOI017 was shown to be a good producer of β-glucosidase from all isolated fungal strains. Fermentation condition (pH, cellobiose concentration, yeast extract concentration, and ammonium sulfate concentration) was optimized for producing the enzyme in shake flask cultures. Response surface methodology was used to investigate the effects of 4 fermentation parameters (yeast extract concentration, cellobiose concentration, ammonium sulfate concentration, and pH) on β-glucosidase enzyme production. Production of β-glucosidase was most sensitive to the culture medium, especially the nitrogen source yeast extract. The optimized medium for producing maximum β-glucosidase specific activity consisted of 0.275% yeast extract, 1.125% cellobiose, and 2.6% ammonium sulfate at a pH value of 3.


2017 ◽  
Vol 76 (1) ◽  
pp. 95-105 ◽  
Author(s):  
Lais Américo Soares ◽  
Juliana Kawanishi Braga ◽  
Fabrício Motteran ◽  
Isabel Kimiko Sakamoto ◽  
Edson Luiz Silva ◽  
...  

Hydrogen production from hydrothermally pretreated (200 °C for 10 min at 16 bar) sugarcane bagasse was analyzed using response surface methodology. The yeast extract concentration and the temperature had a significant influence for hydrogen production (p-value 0.027 and 0.009, respectively). Maximum hydrogen production (17.7 mmol/L) was observed with 3 g/L yeast extract at 60 °C (C10). In this conditions were produced acetic acid (50.44 mg/L), butyric acid (209.71 mg/L), ethanol (38.4 mg/L), and methane (6.27 mmol/L). Lower hydrogen productions (3.5 mmol/L and 3.9 mmol/L) were observed under the conditions C7 (2 g/L of yeast extract, 35.8 °C) and C9 (1 g/L of yeast extract, 40 °C), respectively. The low yeast extract concentration and low temperature caused a negative effect on the hydrogen production. By means of denaturing gradient gel electrophoresis 20% of similarity was observed between the archaeal population of mesophilic (35 and 40 °C) and thermophilic (50, 60 and 64 °C) reactors. Likewise, similarity of 22% was noted between the bacterial population for the reactors with the lowest hydrogen production (3.5 mmol/L), at 35.8 °C and with the highest hydrogen production (17.7 mmol/L) at 60 °C demonstrating that microbial population modification was a function of incubation temperature variation.


2020 ◽  
Vol 39 (1) ◽  
pp. 173-181
Author(s):  
A.O. Okewale ◽  
T. Adebayo

This work focused on the use of natural, and eco-friendly waste material as an inhibitor for inhibiting carbon steel corrosion. In order to obtain minimum rate of corrosion on carbon steel, optimization of the process factors that affect carbon steel corrosion was undertaken using the Response Surface Methodology (RSM). Three parameters were fluctuated viz; temperature, pumpkin pod extract concentration and time of exposure and their corresponding effects on rate of corrosion of carbon steel were ascertained. The data obtained was fitted to a model that is quadratic which was subsequently validated. The predicted lowest rate of corrosion by the model is 2.5427mm/yr with optimal conditions of 178.07ppm of pumpkin extract concentration, exposure time of 2.26hrs, and 35.28oC of temperature. The conditions were validated in three replicates and corrosion rate of 2.75mm/yr was obtained. Keywords: corrosion, optimization, pumpkin pod, response surface methodology.


2013 ◽  
Vol 81 (1) ◽  
pp. 59-64 ◽  
Author(s):  
Masumeh Anvari ◽  
Gholam Khayati ◽  
Shora Rostami

This study was aimed to optimise lactose, inulin and yeast extract concentration and also culture pH for maximising the growth of a probiotic bacterium,Bifidobacterium animalissubsp.lactisin apple juice and to assess the effects of these factors by using response surface methodology. A second-order central composite design was applied to evaluate the effects of these independent variables on growth of the microorganism. A polynomial regression model with cubic and quadratic terms was used for analysis of the experimental data. It was found that the effects involving inulin, yeast extract and pH on growth of the bacterium were significant, and the strongest effect was given by the yeast extract concentration. Estimated optimum conditions of the factors on the bacterial growth are as follows: lactose concentration=9·5 g/l; inulin concentration=38·5 mg/l; yeast extract concentration=9·6 g/l and initial pH=6·2.


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