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| Content Provider | Springer Nature Link |
|---|---|
| Author | Júnior, João B. Severo Pinto, José C. Ferraz, Helen C. Alves, Tito L. M. |
| Copyright Year | 2011 |
| Abstract | The proper determination of experimental errors in bioprocesses can be very important because experimental errors can exert a major impact on the analysis of experimental results. Despite this, the effect of experimental errors on the analysis of bioprocess data has been largely overlooked in the literature. For this reason, we performed detailed statistical analyses of experimental errors obtained during the production of lactobionic acid and sorbitol in a system utilizing as catalyst the GFOR (glucose-fructose oxidoreductase) enzyme from permeabilized cells of the bacteria Zymomonas mobilis. The magnitude of the experimental errors thus obtained were then correlated with the process operation conditions and with the composition of the culture media used for bacterial growth. It is shown that experimental errors can depend very significantly on the operation conditions and affect the interpretation of available experimental data. More specifically, in this study, experimental errors depended on the nutritional supplements added to the cultivation medium, the inoculation process, and the reaction time, which may be of fundamental importance for actual process development. The results obtained also indicate, for the first time, that GFOR activity can be affected by the composition of the medium in which cells are cultivated. |
| Starting Page | 1575 |
| Ending Page | 1585 |
| Page Count | 11 |
| File Format | |
| ISSN | 13675435 |
| Journal | Journal of Industrial Microbiology and Biotechnology |
| Volume Number | 38 |
| Issue Number | 9 |
| e-ISSN | 14765535 |
| Language | English |
| Publisher | Springer-Verlag |
| Publisher Date | 2011-02-17 |
| Publisher Place | Berlin, Heidelberg |
| Access Restriction | Subscribed |
| Subject Keyword | Lactobionic acid Sorbitol GFOR (glucose-fructose oxidoreductase) Zymomonas mobilis Reproducibility Repeatability Genetic Engineering Microbiology Biotechnology Inorganic Chemistry Biochemistry Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
| Subject | Medicine Bioengineering Applied Microbiology and Biotechnology Biotechnology |
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