Bibliographic Details
| Title: |
Growth and polyhydroxybutyrate production by Ralstonia eutropha in emulsified plant oil medium. |
| Authors: |
Budde, Charles F.1, Riedel, Sebastian L.2, Hübner, Florian3, Risch, Stefan3, Popović, Milan K.3, Rha, ChoKyun4, Sinskey, Anthony J.2,5 asinskey@mit.edu |
| Source: |
Applied Microbiology & Biotechnology. Mar2011, Vol. 89 Issue 5, p1611-1619. 9p. |
| Subjects: |
Vegetable oils, Poly-beta-hydroxyalkanoates, Ralstonia, Polyesters, Gum arabic, Oil consumption, Fats & oils microbiology |
| Abstract: |
Polyhydroxyalkanoates (PHAs) are natural polyesters synthesized by bacteria for carbon and energy storage that also have commercial potential as bioplastics. One promising class of carbon feedstocks for industrial PHA production is plant oils, due to the high carbon content of these compounds. The bacterium Ralstonia eutropha accumulates high levels of PHA and can effectively utilize plant oil. Growth experiments that include plant oil, however, are difficult to conduct in a quantitative and reproducible manner due to the heterogeneity of the two-phase medium. In order to overcome this obstacle, a new culture method was developed in which palm oil was emulsified in growth medium using the glycoprotein gum arabic as the emulsifying agent. Gum arabic did not influence R. eutropha growth and could not be used as a nutrient source by the bacteria. R. eutropha was grown in the emulsified oil medium and PHA production was measured over time. Additionally, an extraction method was developed to monitor oil consumption. The new method described in this study allows quantitative, reproducible R. eutropha experiments to be performed with plant oils. The method may also prove useful for studying growth of different bacteria on plant oils and other hydrophobic carbon sources. [ABSTRACT FROM AUTHOR] |
|
Copyright of Applied Microbiology & Biotechnology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |