Optimization of bioethanol production from simultaneous saccharification and fermentation of pineapple peels using &lt;i&gt;Saccharomyces cerevisiae&lt;/i&gt;

Oiwoh, O; Ayodele, Bamidele Victor; N.A., Amenaghawon,; Okieimen, C.O.

doi:10.4314/jasem.v22i1.10

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…At p value ≤ 0.05, there was no statistically significant difference between the pH values of the yeasts during fermentation. The fluctuation in the pH do not affect yeast growth, but instead promotes yeast growth and ethanol formation while also acting as a deterrent to bacterial contaminants and favoring more catabolic reactions [44,45]. The increase in dry yeast cell mass indicated rapid cell growth (Fig.…”

Section: Ph Of Sample During Fermentationmentioning

confidence: 98%

The Production of Second-generation Bioethanol from Lignocellulosic Biomass using Two Strains of Sacharomyces cerevisiae

Adedayo

Adetula

Ajiboye

et al. 2022

JAMB

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Concerns about first generation bioethanol's impact on the food chain and biodiversity have shifted research to second generation (2G) bioethanol technologies. The 2G-bioethanol is made from lignocellulosic biomass, which is more sustainable and does not harm food security or the environment. This production process uses non-food crops, food crop residues, wood or food wastes, such as wood chips, skins, or pulp from fruit pressing. The present study examines the bioethanol production potential of three lignocellulosic biomass residues: corn cob, corn husk, and corn stem, as well as their physiochemical and mineral composition before and after fermentation. Before fermentation, the corn waste samples were hydrolyzed into sugar monomer and the hydrolysate was fermented separately to produce bioethanol for five days at 282oC using two Saccharomyces cerevisiae strains: typed yeast ATCC 3585 and Baker's yeast ATCC 204508/S288c. At one-day intervals, the pH, simple sugar and ethanol production were measured. ANOVA was used to find significant differences between the investigated organisms. The results showed that Saccharomyces cerevisiae ATCC 35858 produces more ethanol than the other strain (20.25±0.63). Corn cob also produced more ethanol than stem and husk. During fermentation, the typed yeasts outperformed the Baker's yeast in pH, reducing sugar, and specific gravity. Average dry yeast cell mass (ADM) of Saccharomyces cerevisiae ATCC 35858 and Saccharomyces cerevisiae ATCC 204508/S288c were 1.82±0.07 and 1.98±0.03, respectively. According to proximate composition, fermentation lost over 50% of the corn waste's nutrients (ash), while recovering over 50% of the minerals (nitrogen, phosphorus, and potassium). The ability of the two Saccharomyces cerevisiae strains to produce bioethanol was not significantly different at p value ≤ 0.05.

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Section: Ph Of Sample During Fermentationmentioning

confidence: 98%

The Production of Second-generation Bioethanol from Lignocellulosic Biomass using Two Strains of Sacharomyces cerevisiae

Adedayo

Adetula

Ajiboye

et al. 2022

JAMB

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“…Hayder et al [10] also reported the optimum conditions for bioethanol produced from lignocellulosic biodegradable municipal solid wastes (BMSW) using RSM as; an initial substrate concentration of 75g/L, pH of 6.0, fermentation time 39hours and a yeast concentration of 2ml/L. Similarly, Oiwoh et al [11] reported the highest ethanol concentration of 5.82%v/v produced under the optimum conditions of pH 6.0, ammonium sulphate concentration of 5g/L and a yeast oncentration of 8% (v/v). Bioethanol production from cheese whey using sacccharomyces cerevisiae DIV13ZZ087COVS strain was also optimized using CCD and the optimum conditions for fermentation temperature, pH and yeast extract concentration were found to be 28.38ᵒC, 4.31 and 3.969 g/L respectively under which an ethanol concentration of 18.53g/L after 24hours incubation time was produced [12].…”

Section: Nwogwugwu Et Almentioning

confidence: 99%

Optimization of Some Fermentation Conditions for Bioethanol Production from Yam Peels (Dioscorea rotundata) Using Box-Behnken Design (BBD)

Saulawa,

Nura,

Bala

et al. 2023

JAMB

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Aim: The aim of this research was to optimize the production of bioethanol from a select second generation feedstock (yam peels). Methodology: Bioethanol was produced from yam peels using Box Behnken Design (BBD). The independent variables selected for optimization of bioethanol yield were; fermentation temperature (˚C), fermentation time (hours) and yeast concentration (%w/v). A set of 17 experiments were considered by design expert software. All experiments were run in triplicates. Test for bioethanol was carried out using acidified potassium dichromate method and absorbance was taken using a spectrophotometer at 600nm. Results: From the experiments carried out above, the optimum conditions under which the highest bioethanol (yield%) was produced were a fermentation temperature of 30̊C, yeast concentration of 5.50%w/v and fermentation time of 96hours under which a bioethanol yield of 45.79% was produced. Conclusion: Yam peels may therefore have the potentials to serve as substrates for bioethanol production rather than using food crops such as sugarcane juice and cassava flesh which may lead to food shortages and crisis especially is developing countries such as Nigeria.

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“…However, increase in bioethanol production using first-generation biofuels has raised concerns about food security and fertile land. Thus, the exploration for second-generation biomass has mostly concentrated on cheap and abundant lignocellulosic municipal waste [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Optimization of bioethanol production from papaya waste through fermentation using response surface methodology (RSM)

2023

Sustainable Processes and Clean Energy Transition

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Abstract. There is a growing pressure for the development of sustainable and environmental-friendly source of energy such as ethanol that could substitute the depleting fossil fuels. Papaya waste including papaya seed and papaya peel is one of the main fruit wastes in Southeast Asia which has great potential to be utilized as substrate for bioethanol production. In this study, papaya waste was fermented to produce bioethanol using Saccharomyces Cerevisiae. The effect of pH, temperature, and incubation time on bioethanol production was studied within the range of 3.0-6.0, 25-45°C and 24-96 h, respectively. These parameters were optimized using Response Surface Methodology (RSM) based Box-Behnken Design (BBD). It was found that a maximum ethanol concentration of 0.2224 g/ml was obtained from papaya waste at pH 4.5, 45°C and 24 hours. The significance of the parameters increased from incubation time, pH to temperature.

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Optimization of bioethanol production from simultaneous saccharification and fermentation of pineapple peels using <i>Saccharomyces cerevisiae</i>

Cited by 4 publications

References 4 publications

The Production of Second-generation Bioethanol from Lignocellulosic Biomass using Two Strains of Sacharomyces cerevisiae

The Production of Second-generation Bioethanol from Lignocellulosic Biomass using Two Strains of Sacharomyces cerevisiae

Optimization of Some Fermentation Conditions for Bioethanol Production from Yam Peels (Dioscorea rotundata) Using Box-Behnken Design (BBD)

Optimization of bioethanol production from papaya waste through fermentation using response surface methodology (RSM)

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