| Title |
Ethanol production from N-acetyl-d-glucosamine by Scheffersomyces stipitis strains
|
|---|---|
| Published in |
AMB Express, October 2016
|
| DOI | 10.1186/s13568-016-0267-z |
| Pubmed ID | |
| Authors |
Kentaro Inokuma, Tomohisa Hasunuma, Akihiko Kondo |
| Abstract |
N-acetyl-D-glucosamine (GlcNAc) is the building block of chitin, which is one of the most abundant renewable resources in nature after cellulose. Therefore, a microorganism that can utilize GlcNAc is necessary for chitin-based biorefinery. In this study, we report on the screening and characterization of yeast strains for bioethanol production from GlcNAc. We demonstrate that Scheffersomyces (Pichia) stipitis strains can use GlcNAc as the sole carbon source and produce ethanol. S. stipitis NBRC1687, 10007, and 10063 strains consumed most of the 50 g/L GlcNAc provided, and produced 14.5 ± 0.6, 15.0 ± 0.3, and 16.4 ± 0.3 g/L of ethanol after anaerobic fermentation at 30 °C for 96 h. The ethanol yields of these strains were approximately 81, 75, and 82 % (mol ethanol/mol GlcNAc consumed), respectively. Moreover, S. stipitis NBRC10063 maintained high GlcNAc-utilizing capacity at 35 °C, and produced 12.6 ± 0.7 g/L of ethanol after 96 h. This strain also achieved the highest ethanol titer (23.3 ± 1.0 g/L) from 100 g/L GlcNAc. To our knowledge, this is the first report on ethanol production via fermentation of GlcNAc by naturally occurring yeast strains. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 18% |
| Student > Ph. D. Student | 5 | 11% |
| Researcher | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Lecturer > Senior Lecturer | 3 | 7% |
| Other | 7 | 16% |
| Unknown | 14 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 34% |
| Agricultural and Biological Sciences | 8 | 18% |
| Chemistry | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Medicine and Dentistry | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 14 | 32% |
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 03 October 2016.
All research outputs
#15,385,802
of 22,890,496 outputs
Outputs from AMB Express
#446
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Outputs of similar age
#202,884
of 321,456 outputs
Outputs of similar age from AMB Express
#28
of 62 outputs
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