Modeling And Optimization Of Lipase-Catalyzed Synthesis Of Adipate Esters Using Response Surface Methodology And Artificial Neural Network
Optimized Novozym 435 (Candida antarctica lipase B immobilized on acrylic resin)- catalyzed esterification of adipic acid and various monohydric alcohols was successfully performed. Solvent-based synthesis of adipate esters was carried out in small scale reaction using 30 mL screw-capped vials. T...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/12437/1/FS_2010_22A.pdf |
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| Summary: | Optimized Novozym 435 (Candida antarctica lipase B immobilized on acrylic resin)-
catalyzed esterification of adipic acid and various monohydric alcohols was successfully
performed. Solvent-based synthesis of adipate esters was carried out in small scale
reaction using 30 mL screw-capped vials. The synthetic reaction was optimized by
Response Surface Methodology (RSM) based on central composite rotatable design
(CCRD) to evaluate the interactive effects of reaction parameters including temperature,
time, enzyme amount and alcohol/acid molar ratio. A high percentage yield (>96.0%)
using optimum conditions was obtained using a minimum amount of enzyme, which
matched well with the predicted values.
Artificial Neural Network (ANN) approach was also employed for the estimation of
esterification yield in enzymatic synthesis of adipate esters. Various feedforward neural
networks were performed using different learning algorithms. The best algorithm was found to be Levenberg–Marquardt (LM) for a network composed of seven hidden nodes
with hyperbolic tangent sigmoid transfer function. ANN showed better prediction ability
compared to RSM. A high coefficient of determination (R2) (>0.9) and a low mean
absolute error (MAE) and root mean squared error (RMSE) for training, validating and
testing data implied the good generalization of the developed models for predicting the
reaction yield.
In order to develop an efficient enzyme catalyzed process, alcohol specificity of enzyme
in terms of chain length and structure in the synthesis of adipate esters was determined.
Methanol, n-butanol, octanol, dodecanol, octadecanol, isobutanol, sec-butanol and tertbutanol
were the alcohols used for this study. The results demonstrated that alcohol
chain length and structure were determining factors that affect the optimum condition of
the reaction parameters for the enzymatic synthesis of adipate esters. Minimum reaction
time for achieving maximum ester yield was obtained for isobutanol. The initial rates of
synthesis of adipate esters for primary and secondary alcohols were nearly the same.
Kinetic study of the lipase-catalyzed adipate ester synthesis in solvent-based system was
carried out as a preliminary step for future industrial scale bioreactor design. The
reaction was found to obey the ping-pong bi-bi mechanism with alcohol inhibition. The
coefficient of determination (R2) and MAE values between the simulated and
experimental initial rates were determined as 0.9904 and 2.4×10-4 which shows a good
quality of fit between the simulated and experimental values.In order to make the synthesis process more environmentally friendly and improve the
productivity of the reactor to the highest amount, the reaction was performed in a
solvent-free system using 0.5-L batch and 4-L continuous stirred tank reactors. Due to
low solubility of the substrate and high viscosity of the reaction mixture, a continuous
stirred tank reactor was used for continuous production of the ester. A high percentage
conversion was achieved (about 96%) using minimum amount of enzyme (2.5%w/w)
indicating the high efficiency of solvent free-system for synthesis of adipate ester.
Continuous production of adipate ester was successfully performed with an average
yield of 92.7% and high operation stability of enzyme for 28 hours, which is indicative
of performing a successful process for the ester synthesis. |
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