| Title |
Synthesis of Geraniol Esters in a Continuous-Flow Packed-Bed Reactor of Immobilized Lipase: Optimization of Process Parameters and Kinetic Modeling
|
|---|---|
| Published in |
Applied Biochemistry and Biotechnology, August 2017
|
| DOI | 10.1007/s12010-017-2572-7 |
| Pubmed ID | |
| Authors |
Harshada M. Salvi, Manoj P. Kamble, Ganapati D. Yadav |
| Abstract |
With increasing demand for perfumes, flavors, beverages, and pharmaceuticals, the various associated industries are resorting to different approaches to enhance yields of desired compounds. The use of fixed-bed biocatalytic reactors in some of the processes for making fine chemicals will be of great value because the reaction times could be reduced substantially as well as high conversion and yields obtained. In the current study, a continuous-flow packed-bed reactor of immobilized Candida antarctica lipase B (Novozym 435) was employed for synthesis of various geraniol esters. Optimization of process parameters such as biocatalyst screening, effect of solvent, mole ratio, temperature and acyl donors was studied in a continuous-flow packed-bed reactor. Maximum conversion of ~ 87% of geranyl propionate was achieved in 15 min residence time at 70 °C using geraniol and propionic acid with a 1:1 mol ratio. Novozym 435 was found to be the most active and stable biocatalyst among all tested. Ternary complex mechanism with propionic acid inhibition was found to fit the data. |
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 % |
|---|---|---|
| Germany | 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 75 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 16% |
| Student > Master | 9 | 12% |
| Student > Doctoral Student | 9 | 12% |
| Professor | 5 | 7% |
| Researcher | 4 | 5% |
| Other | 13 | 17% |
| Unknown | 23 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 15 | 20% |
| Chemical Engineering | 9 | 12% |
| Biochemistry, Genetics and Molecular Biology | 6 | 8% |
| Engineering | 5 | 7% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 28 | 37% |
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 25 August 2017.
All research outputs
#18,569,430
of 22,999,744 outputs
Outputs from Applied Biochemistry and Biotechnology
#1,793
of 2,526 outputs
Outputs of similar age
#243,354
of 317,355 outputs
Outputs of similar age from Applied Biochemistry and Biotechnology
#16
of 36 outputs
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