| Literature DB >> 32051536 |
Victoria Inyang1, David Lokhat2.
Abstract
Reactive extraction is a significant technique employed for the removal of organic acids such as carboxylic acid which are usually present in low concentrations in aqueous solutions. This technique was explored by applying Response Surface Methodology (RSM) in process parameter optimization for malic acid recovery from aqueous streams using Trioctylamine as extractant and 1-decanol as organic diluent. Malic acid, a C4 dicarboxylic acid has a wide variety of applications in the polymer, food, chemical and pharmaceutical industries. The optimization of the response function: extraction efficiency was systematically carried out using three process parameters for reactive extraction: temperature, initial malic acid concentration and extractant (Trioctylamine) composition. Response Surface Methodology in combination with Box-Behnken design involving seventeen experimental runs was employed for malic acid reactive extraction in this study. A statistical second-order polynomial predicted an extraction efficiency of 97.53%. The optimum conditions of the process variables were found to be: temperature: 304.73 K, acid concentration: 0.25 kmol/m3, Trioctylamine composition: 23.54% (v/v). Under these optimum conditions, the experimental response of extraction efficiency of 93.25% was obtained. The experimental results obtained was in close conformity with the predicted values by numerical optimization using Response Surface Methodology. These findings can pave the way for the reactive separation process design for recovery of carboxylic acids from dilute aqueous waste streams as well as a fermentation broth.Entities:
Year: 2020 PMID: 32051536 PMCID: PMC7016146 DOI: 10.1038/s41598-020-59273-z
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1RSM step-wise procedures adopted in the study.
Experimental design of variables (coded) for malic acid extraction efficiency E%.
| Std | Run | Factor 1 | Factor 2 | Factor 3 | Response 1 |
|---|---|---|---|---|---|
| Temperature | TOA Composition | Acid Concentration | Extraction Efficiency | ||
| K | %v/v | kmol/m3 | %E | ||
| 10 | 1 | 0.000 | 1.000 | −1.000 | 98.571 |
| 1 | 2 | −1.000 | −1.000 | 0.000 | 39.307 |
| 3 | 3 | −1.000 | 1.000 | 0.000 | 53.030 |
| 16 | 4 | 0.000 | 0.000 | 0.000 | 79.264 |
| 7 | 5 | −1.000 | 0.000 | 1.000 | 40.750 |
| 9 | 6 | 0.000 | −1.000 | −1.000 | 97.619 |
| 5 | 7 | −1.000 | 0.000 | −1.000 | 98.571 |
| 11 | 8 | 0.000 | −1.000 | 1.000 | 34.833 |
| 14 | 9 | 0.000 | 0.000 | 0.000 | 79.307 |
| 17 | 10 | 0.000 | 0.000 | 0.000 | 79.394 |
| 4 | 11 | 1.000 | 1.000 | 0.000 | 75.030 |
| 12 | 12 | 0.000 | 1.000 | 1.000 | 65.191 |
| 6 | 13 | 1.000 | 0.000 | −1.000 | 97.143 |
| 13 | 14 | 0.000 | 0.000 | 0.000 | 79.091 |
| 2 | 15 | 1.000 | −1.000 | 0.000 | 56.606 |
| 8 | 16 | 1.000 | 0.000 | 1.000 | 55.917 |
| 15 | 17 | 0.000 | 0.000 | 0.000 | 79.351 |
Analysis of variance and response surface regression model for malic acid reactive extraction.
| Source | Sum of | df | Mean | F | p-value | |
|---|---|---|---|---|---|---|
| Squares | Square | Value | Prob > F | |||
| Model | 7207.38 | 9 | 800.82 | 67.66 | <0.0001 | significant |
| 351.61 | 1 | 351.61 | 29.71 | 0.0010 | ||
| 503.34 | 1 | 503.34 | 42.53 | 0.0003 | ||
| 4763.57 | 1 | 4763.57 | 402.49 | <0.0001 | ||
| | 5.53 | 1 | 5.53 | 0.47 | 0.5164 | |
| 68.85 | 1 | 68.85 | 5.82 | 0.0466 | ||
| 216.16 | 1 | 216.16 | 18.26 | 0.0037 | ||
| 618.82 | 1 | 618.82 | 52.29 | 0.0002 | ||
| 524.85 | 1 | 524.85 | 44.35 | 0.0003 | ||
| 148.41 | 1 | 148.41 | 12.54 | 0.0095 | ||
| Residual | 82.85 | 7 | 11.84 | |||
| Lack of Fit | 82.79 | 3 | 27.60 | 2017.72 | <0.0001 | significant |
| Pure Error | 0.055 | 4 | 0.014 | |||
| Cor Total | 7290.23 | 16 | ||||
| Std.Dev = 3.44 R-Squared = 0.9886 | ||||||
| Mean = 71.12 Adj R-Squared = 0.9740 | ||||||
| C.V.% = 4.84 Adeq Precision = 24.866 |
Figure 2Predicted model plot against experimental extraction efficiency (%E) from RSM Model.
Figure 3Response surface plot and a contour-lines map displaying the effects of interaction between TOA composition and temperature variables on extraction efficiency.
Figure 4Response surface plot and a contour-lines map displaying the effects of interaction between acid concentration and temperature variables on extraction efficiency.
Figure 5Response surface plot and a contour-lines map displaying the effects of interaction between acid concentration and TOA composition variables on extraction efficiency.
Range of different variables for reactive extraction of Malic acid.
| Factors | Units | Coded Values | Level | High |
|---|---|---|---|---|
| Low | ||||
| Temperature | K | Factor X1 | 298 | 313 |
| Solvent Composition (v/v) | % | Factor X2 | 10 | 30 |
| Acid Concentration | kmol/m3 | Factor X3 | 0.100 | 1.000 |