scholarly journals OPTIMIZATION OF BACTERIAL CELLULOSE PRODUCTION FROM SUGAR BEET MOLASSES BY GLUCONACETOBACTER XYLINUS NRRL B-759 IN STATIC CULTURE

2021 ◽  
Vol 55 (9-10) ◽  
pp. 1051-1060
Author(s):  
YUNUS EMRE ÖZ ◽  
◽  
MEHMET KALENDER ◽  

We investigated the optimization of bacterial cellulose (BC) production from sugar beet molasses by Gluconacetobacter xylinus NRRL B-759 in static culture. The optimization studies were performed using the central composite design (CCD) of response surface methodology (RSM). The independent variables were the molasses concentration, inoculation ratio and culture volume. The dependent variable was BC production yield. From the optimization tests, based on the model developed by RSM-ANOVA, it was found that binary interactions between molasses concentration–culture volume and inoculation ratio–culture volume had the most significant influence on the responses. The optimum conditions were as follows: 78.932 g/L molasses concentration, 12.973% inoculation ratio, and 130.405 mL of culture volume. The obtained BC was characterized by Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) and elemental analysis. The characterization results obtained in the study revealed that the produced BC exhibited typical FTIR spectrum, elemental composition, and nanofiber structure.

2019 ◽  
Vol 122 ◽  
pp. 280-288 ◽  
Author(s):  
Mahdieh Salari ◽  
Mahmood Sowti Khiabani ◽  
Reza Rezaei Mokarram ◽  
Babak Ghanbarzadeh ◽  
Hossein Samadi Kafil

2012 ◽  
Vol 16 (1) ◽  
pp. 43-52 ◽  
Author(s):  
Nevena Misljenovic ◽  
Gordana Koprivica ◽  
Lato Pezo ◽  
Ljubinko Levic ◽  
Biljana Curcic ◽  
...  

A Response Surface Methodology approach (RSM) was used to determine optimum conditions for the osmotic dehydration of carrot cubes in sugar beet molasses. Treatment times were set to 1, 3 and 5 h, at temperatures of 45, 55 and 65?C and molasses concentrations were 40, 60 and 80% (w/w). The used responses variables were: final dry matter content (DM), water loss (WL), solid gain (Sg), and water activity (aw). A Box and Behnken?s fractional factorial design (2 level-3 parameter) with 15 runs (1 block) was used for design of the experiment. DM, WL, Sg were significantly affected by all process variables (at 90-95% confidence level). The optimum conditions were determined by superimposing the contour plots, with the following response limiting values: DM 50-60%, WL 0.7- 0.8, Sg 0.08-0.09, and aw 0.84-0.86. The optimum conditions generated were: treatment time of 4h, temperature of 60?C, sugar concentration of 66% (w/w).


2000 ◽  
Vol 882 (1-2) ◽  
pp. 329-334 ◽  
Author(s):  
Roland Ulber ◽  
Robert Faurie ◽  
Peter Sosnitza ◽  
Lutz Fischer ◽  
Egbert Stärk ◽  
...  

2018 ◽  
Vol 125 (1) ◽  
pp. 134-142 ◽  
Author(s):  
Vesna M. Vučurović ◽  
Vladimir S. Puškaš ◽  
Uroš D. Miljić

scholarly journals The effect of changes in opportunity costs and prices of some agricultural products such as sugar beet, corn,wheat etc. used for bioethanol production on the cost of bioethanol production is not adequately known in Turkey.. Therefore, it was aimed to determine the bioethanol production cost items and unit production costs and also to put forth the effects of variations in raw material prices on cost of bioethanol.. The research data were collected via personal interviews from active bioethanol plants in Turkey. The results of previous studies and documents of related institutions and organizations were also used. The study followed classical cost analysis approach to calculate production cost. Scenario analysis was performed when exploring the effect of raw material prices on bioethanol production cost. Research findings showed that production cost per litre bioethanol produced from sugar beet molasses, corn, wheat and corn-wheat mixture were 2.50 TL, 2.84 TL, 2.95 and 2.84 TL, respectively. The share of raw material expenses in bioethanol cost per liter varied associated with the crops used in the process, it was 28.55% for bioethanol produced from sugar beet molasses, 44.81% for bioethanol produced from corn-wheat mixture and 44.87% bioethanol produced from corn. The research results also showed that the changes that occur in raw material prices significantly affected the bioethanol production cost and opportunity cost of crops created difficulties in biomass supply. Implementing the suitable policies and strategies and making the necessary arrangements in legislation would enhance the economic sustainability of bioethanol production in Turkey.

2017 ◽  
Vol 32 (1) ◽  
pp. 16-16
Author(s):  
Selime Canan ◽  
Vedat Ceyhan

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