Modeling and optimization of bioethanol production from breadfruit starch hydrolyzate vis-à-vis response surface methodology and artificial neural network

Betiku, Eriola; Taiwo, Abiola Ezekiel

doi:10.1016/j.renene.2014.07.054

Cited by 175 publications

(106 citation statements)

References 26 publications

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“…Tesfaw and Assefa [46] also confirm the importance of the finding that lower inoculum size reduces the cost of production in ethanol fermentation. The mutually significant relationship between inoculum size and temperature was due to the use of a commercial strain (Anchor Instant Yeast) which operated within the specified temperature range (25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35) • C) in the design of the experiment. …”

Section: Rsm Modeling Results For Ethanol Productionmentioning

confidence: 99%

“…The theoretical basis has been described in detail elsewhere [24,31]. ANN models have been reported to be preferred above RSM in accuracy and data prediction [32][33][34]. However, this may not be valid in all cases as the neural network is known for overfitting, which may cause overprediction and thus make validation of predicted data experimentally unrealistic [35,36].…”

Section: Glucose (G/l)mentioning

confidence: 99%

“…The activation of the baker's instant dry yeast was done by adding a spatula of the yeast to 150 mL distilled water in a 250 mL Duran flask and placing it on a shaking platform incubator (Labcon FSIM SP016, Zenfer manufacture Services CC., Maraisburg, South Africa) for 18 h [34]. The yeast was then plated and maintained on malt extract agar.…”

Section: Microorganism and Inoculum Preparationmentioning

confidence: 99%

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

2018

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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.

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Section: Rsm Modeling Results For Ethanol Productionmentioning

confidence: 99%

Section: Glucose (G/l)mentioning

confidence: 99%

Section: Microorganism and Inoculum Preparationmentioning

confidence: 99%

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

2018

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“…In recent years, there has been an increased interest in the production of bioethanol from renewable sources like sugar materials, cassava (Han et al, 2011), cashew apple juice (Neelakandan and Usharani, 2009), sorghum juice (Wang et al, 2011), bagasse, straw (Cheng and Timilsina, 2011), and wood biomass (McKendry, 2002), and breadfruit starch (Betiku and Taiwo Abiola, 2015). In order to reduce dependency on fossil fuels and decrease the environmental pollution, it is necessary to search for alternative fuels.…”

Section: Introductionmentioning

confidence: 99%

Influence of the crystalline structure of cellulose on the production of ethanol from lignocellulose biomass

Smuga‐Kogut¹,

Zgórska²,

Szymanowska³

2016

International Agrophysics

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A b s t r a c t. In recent years, much attention has been devoted to the possibility of using lignocellulosic biomass for energy. Bioethanol is a promising substitute for conventional fossil fuels and can be produced from straw and wood biomass. Therefore, the aim of this paper was to investigate the effect of 1-ethyl-3-methylimidazolium pretreatment on the structure of cellulose and the acquisition of reducing sugars and bioethanol from cellulosic materials. Material used in the study was rye straw and microcrystalline cellulose subjected to ionic liquid 1-ethyl-3-methylimidazolium pretreatment. The morphology of cellulose fibres in rye straw and microcrystalline cellulose was imaged prior to and after ionic liquid pretreatment. Solutions of ionic liquid-treated and untreated cellulosic materials were subjected to enzymatic hydrolysis in order to obtain reducing sugars, which constituted a substrate for alcoholic fermentation. An influence of the ionic liquid on the cellulose structure, accumulation of reducing sugars in the process of hydrolysis of this material, and an increase in ethanol amount after fermentation was observed. The ionic liquid did not affect cellulolytic enzymes negatively and did not inhibit yeast activity. The amount of reducing sugars and ethyl alcohol was higher in samples purified with 1-ethyl-3-methylimidazolium acetate. A change in the supramolecular structure of cellulose induced by the ionic liquid was also observed.

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“…O elevado crescimento populacional e a industrialização, nas últimas décadas, têm forçado o aumento da demanda energética (BETIKU; TAIWO, 2015;MA et al, 2008). Em virtude deste cenário, uma alternativa viável tem sido a utilização do bioetanol, um recurso mais limpo e sustentável que os combustíveis fósseis, que minimiza os impactos da emissão de gases que provocam o efeito estufa (CAO et al, 2011).…”

Section: Introductionunclassified

Batata-doce [<i>Ipomoea batatas</i> (L.) Lam.] nas roças e quintais do litoral paulista: diversidade genética morfoagronômica, com base em morfometria geométrica, descritores e produção de bioetanol

Nunes¹

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Modeling and optimization of bioethanol production from breadfruit starch hydrolyzate vis-à-vis response surface methodology and artificial neural network

Cited by 175 publications

References 26 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

Influence of the crystalline structure of cellulose on the production of ethanol from lignocellulose biomass

Batata-doce [<i>Ipomoea batatas</i> (L.) Lam.] nas roças e quintais do litoral paulista: diversidade genética morfoagronômica, com base em morfometria geométrica, descritores e produção de bioetanol

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