| Title |
Enhanced Lactic Acid Production by Adaptive Evolution of Lactobacillus paracasei on Agro-industrial Substrate
|
|---|---|
| Published in |
Applied Biochemistry and Biotechnology, July 2018
|
| DOI | 10.1007/s12010-018-2852-x |
| Pubmed ID | |
| Authors |
Dragana Mladenović, Jelena Pejin, Sunčica Kocić-Tanackov, Aleksandra Djukić-Vuković, Ljiljana Mojović |
| Abstract |
The aim of this study was to perform the adaptation of Lactobacillus paracasei NRRL B-4564 to substrate through adaptive evolution in order to ensure intensive substrate utilization and enhanced L (+)-lactic acid (LA) production on molasses-enriched potato stillage. To evaluate the strain response to environmental conditions exposed during the adaptation process and to select the best adapted cells, the antioxidant activity and LA-producing capability were assessed in batch fermentation. The most promising adapted strain was further used in a pulsed fed-batch mode. Among three selected adapted strains, L. paracasei A-22 showed considerably improved antioxidant capacity, demonstrating more than onefold higher 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical-scavenging rates compared to parent strain. This strain also exhibited superior LA production in batch fermentation and reached 89.4 g L-1 of LA, with a yield of 0.89 g g-1, a productivity of 1.49 g L-1 h-1, and an optical purity greater than 99%. Furthermore, in fed-batch mode L. paracasei A-22 resulted in 59% higher LA concentration (169.9 g L-1) compared to parent strain (107.1 g L-1). The strain adaptation to molasses environment, performed in this study, is a rather simple and promising method for enhancement of LA production on the complex agro-industrial substrate. |
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 % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 59 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 19% |
| Student > Master | 9 | 15% |
| Researcher | 6 | 10% |
| Student > Bachelor | 4 | 7% |
| Lecturer | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 22 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 20% |
| Agricultural and Biological Sciences | 7 | 12% |
| Immunology and Microbiology | 4 | 7% |
| Engineering | 3 | 5% |
| Chemistry | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 25 | 42% |
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 31 July 2018.
All research outputs
#20,529,173
of 23,098,660 outputs
Outputs from Applied Biochemistry and Biotechnology
#2,059
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Outputs of similar age
#288,006
of 329,967 outputs
Outputs of similar age from Applied Biochemistry and Biotechnology
#16
of 28 outputs
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