Comparison of estimation capabilities of response surface methodology (RSM) with artificial neural network (ANN) in lipase-catalyzed synthesis of palm-based wax ester

Abstract:Bioethanol production has seen an increasing trend in research recently, with a focus on increasing its economic viability. The aim of this study is to develop a low-cost fermentation medium with a minimum of redundant nutritional supplements, thereby minimizing the costs associated with nutritional supplements and seed production. Corn steep liquor (CSL) in glucose fermentation by Saccharomyces Type 1 (ST1) strain and Anchor Instant Yeast (AIY), which are low-cost media, is used as a replacement for yeast extract (YE). The fermentation process parameters were optimized using artificial neural networks (ANN) and the response surface method (RSM). The study shows that for CSL, maximum average ethanol concentrations of 41.92 and 45.16 g/L, representing 82% and 88% of the theoretical yield, were obtained after 36 h of fermentation in a shake flask for ST1 and AIY, respectively. For YE, ethanol concentrations equivalent to 86% and 88% of theoretical yield were obtained with ST1 and AIY, respectively after 48 h. Although ANN better predicted the responses compared to RSM, optimum conditions were better predicted by RSM. This study shows that corn steep liquor is an inexpensive potential nutrient that may have significant cost implications for commercial ethanol production.

show abstract

“…The network with minimum MSE, RMSE, minimum AAD, and maximum R 2 is considered to be the best neural network model [51].…”

Section: Predictability Of Model Evaluated In Artificial Neural Netwomentioning

confidence: 99%

Optimization of Corn Steep Liquor Dosage and Other Fermentation Parameters for Ethanol Production by Saccharomyces cerevisiae Type 1 and Anchor Instant Yeast

2018

View full text Add to dashboard Cite

show abstract

“…This method is faster and less expensive than the classical method for gathering of research information. [19] Optimizing the esterification reaction parameters plays a vital role in the economical manufacturing and in gaining a maximum yield of methyl oleate. In this regard, numerous synthetic processes have adopted this statistical approach, which includes biodiesel production from cotton seed oil, [20] enzyme-catalysed synthesis of wax ester by Lipozyme IM by central composite design and transesterification of palm oil containing free fatty acids [21] based on a BoxÀBehnken Design.…”

Section: Introductionmentioning

confidence: 99%

Modelling and optimization ofCandida rugosananobioconjugates catalysed synthesis of methyl oleate by response surface methodology

Marzuki

Huyop

Aboul‐Enein

et al. 2015

Biotechnology & Biotechnological Equipment

View full text Add to dashboard Cite

Esters, such as methyl oleate, are functionally important compounds in many industrial sectors, mainly as components for manufacturing of emulsifiers, detergents, intermediate stabilizers and wetting agents. Acid functionalization of multiwalled carbon nanotubes (F-MWCNTs) by using a mixture of HNO 3 and H 2 SO 4 (1:3, v:v) was employed as the matrix for the adsorption of Candida rugosa lipase (CRL) as nanobioconjugates (CRL-MWCNTs) for the production of methyl oleate. Structural information of the developed CRL-MWCNTs was confirmed using Fourier Transform Infrared spectroscopy, thermogravimetric analysis and transmission electron microscopy, which revealed a successful attachment of CRL onto the F-MWCNTs. Process parameters (reaction time, temperature and alcohol:acid molar ratio) were optimized for high percent conversion of methyl oleate. Structural analysis established that CRL was successfully attached to the surface of the F-MWCNTs. Under the optimized conditions, which were 13.87 h, 51 C, molar ratio oleic acid: methanol (1:3.80), a high ester yield of 90.90% was attained. Also, under conditions of the shortest reaction time of 6 h, 47.07 C and acid:methanol ratio of 1:2.54, the CRL-MWCNTs catalysed a 74.51% ester yield. Hence, we established that response surface methodology (RSM) can be a practical technique for the prediction of the conditions that favour the high yield production of methyl oleate. Under optimized conditions, the CRL-MWCNTs nanobioconjugates are potentially good and economical biocatalysts for the production of methyl oleate, as well as other types of commercially important fatty-acid methyl esters.

show abstract

“…An ANN is an interconnected structure consisting of many simple processing elements capable of performing parallel computation for data processing. The fundamental processing element of an ANN (the artificial neuron, unit or nodes) simulates the basic functions of biological neurons (Basri et al 2007). …”

Section: Introductionmentioning

confidence: 99%

Screening and optimization of γ-aminobutyric acid production fromMonascus sanguineusunder solid-state fermentation

Dikshit

Tallapragada

2015

Frontiers in Life Science

View full text Add to dashboard Cite

The aim of this study was to screen and optimize γ -aminobutyric acid (GABA) production from Monascus sanguineus. Different agro-waste residues were screened for GABA production. The GABA yield was confirmed by thin-layer chromatography and mass spectrometry. GABA was quantified using the simple ninhydrin protocol. Plackett-Burman and response surface methodology (RSM) as statistical tools were applied for screening and optimization of GABA yield. The accuracy of the RSM model was demonstrated by generating a non-statistical model using artificial neural network methodology. Coconut oil cake was the best substrate for GABA yield of all the tested substrates. Monosodium glutamate (MSG), pH and incubation period were found to favour GABA production. Maximum yield predicted from the RSM model was 15.53 mg/gds with an MSG concentration of 0.05 g at pH 7.5 and an incubation period of 20 days. This study considered an unexplored Monascus sp., M. sanguineus, which has primarily been used for pigment production. The capability of producing GABA from M. sanguineus using coconut oil cake as a substrate is an economical method with potential industrial use. The convincing results from this work could be considered as a benchmark for exploiting the Monascus strain to obtain GABA-enriched functional food for human consumption.

show abstract

Comparison of estimation capabilities of response surface methodology (RSM) with artificial neural network (ANN) in lipase-catalyzed synthesis of palm-based wax ester

Cited by 95 publications

References 28 publications

Optimization of Corn Steep Liquor Dosage and Other Fermentation Parameters for Ethanol Production by Saccharomyces cerevisiae Type 1 and Anchor Instant Yeast

Optimization of Corn Steep Liquor Dosage and Other Fermentation Parameters for Ethanol Production by Saccharomyces cerevisiae Type 1 and Anchor Instant Yeast

Modelling and optimization ofCandida rugosananobioconjugates catalysed synthesis of methyl oleate by response surface methodology

Screening and optimization of γ-aminobutyric acid production fromMonascus sanguineusunder solid-state fermentation

Contact Info

Product

Resources

About