| Title |
Change in product selectivity during the production of glyceric acid from glycerol by Gluconobacter strains in the presence of methanol
|
|---|---|
| Published in |
AMB Express, April 2013
|
| DOI | 10.1186/2191-0855-3-20 |
| Pubmed ID | |
| Authors |
Shun Sato, Naoki Morita, Dai Kitamoto, Toshiharu Yakushi, Kazunobu Matsushita, Hiroshi Habe |
| Abstract |
To enhance the value-added use of methanol-containing raw glycerol derived from biodiesel fuel production, the effect of methanol supplementation on glyceric acid (GA) production by Gluconobacter spp. was investigated. We first conducted fed-batch fermentation with Gluconobacter frateurii NBRC103465 using raw glycerol as a feeding solution. GA productivity decreased with increasing dihydroxyacetone (DHA) formation when the raw glycerol contained methanol. The results of this experiment and comparative experiments using a synthetic solution modeled after the raw glycerol indicate that the presence of methanol caused a change in the concentrations of GA and DHA, two glycerol derivatives produced during fermentation. Other Gluconobacter spp. also decreased GA production in the presence of 1% (v/v) methanol. In addition, purified membrane-bound alcohol dehydrogenase (mADH) from Gluconobacter oxydans, which is a key enzyme in GA production, showed a decrease in dehydrogenase activity toward glycerol as the methanol concentration increased. These results strongly suggest that the observed decrease in GA production by Gluconobacter spp. resulted from the methanol-induced inhibition of mADH-mediated glycerol oxidation. |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Uruguay | 1 | 5% |
| Unknown | 19 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 20% |
| Researcher | 3 | 15% |
| Student > Bachelor | 3 | 15% |
| Other | 1 | 5% |
| Professor > Associate Professor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 30% |
| Biochemistry, Genetics and Molecular Biology | 2 | 10% |
| Chemical Engineering | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Chemistry | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 April 2013.
All research outputs
#20,187,333
of 22,703,044 outputs
Outputs from AMB Express
#965
of 1,229 outputs
Outputs of similar age
#174,450
of 199,767 outputs
Outputs of similar age from AMB Express
#2
of 4 outputs
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So far Altmetric has tracked 1,229 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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