| Title |
Study of a reactor model for enzymatic reactions in continuous mode coupled to an ultrasound bath for esters production
|
|---|---|
| Published in |
Bioprocess and Biosystems Engineering, July 2018
|
| DOI | 10.1007/s00449-018-1985-1 |
| Pubmed ID | |
| Authors |
Mara Cristina P. Zenevicz, Artur Jacques, Maria Jose Arbulu Silva, Agenor Furigo, Vladimir Oliveira, Débora de Oliveira |
| Abstract |
The main objective of this work was to investigate the enzymatic production of ethyl esters in continuous mode coupled to an ultrasound bath. For esterification reactions soybean free fatty acids (FFA) and ethanol were used as substrates, and Novozym 435 and Lipozyme TL IM, as catalysts. The experimental system consisted of a packed bed glass reactor immersed in an ultrasound bath and the following variables were studied: ethanol to FFA molar ratio of 1:1, 1:3 and 1:6, substrates flow rate of 2.5 and 5 mL/min, at 65 °C and 132 W ultrasound power output. It was noticed that the excess alcohol favored the esterification reaction with the best conversions observed, 95%, at 6 min reaction for 1:6 FFA to ethanol molar ratio, 2.5 mL/min feeding flow rate. Increasing the substrates feeding flow rate decreased the conversion down to 87% and replacing the Novozym 435 by Lipozyme TL IM no satisfactory conversions were achieved. This type of reactor demonstrated good performance for ethyl esters production, opening promising perspectives for use in the production of other types of esters such as those aromatic and others with high value. |
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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 4 | 27% |
| Student > Doctoral Student | 2 | 13% |
| Student > Master | 2 | 13% |
| Student > Bachelor | 1 | 7% |
| Other | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 4 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemical Engineering | 4 | 27% |
| Engineering | 2 | 13% |
| Agricultural and Biological Sciences | 1 | 7% |
| Unknown | 8 | 53% |
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 18 July 2018.
All research outputs
#22,835,295
of 25,461,852 outputs
Outputs from Bioprocess and Biosystems Engineering
#477
of 604 outputs
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#297,706
of 339,817 outputs
Outputs of similar age from Bioprocess and Biosystems Engineering
#1
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