Production of Bioethanol from Office Waste via Simultaneous Saccharification Fermentation

Vincent, Micky; Hasni, H Nor; Ennry, Esut

doi:10.54987/bstr.v2i1.61

Cited by 2 publications

(1 citation statement)

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“…Water pollution occurs when environmental stressors are introduced at concentrations exceeding the maximum permissible levels, rendering water unsuitable for consumption and various other purposes. Such pollution stems from the presence of organic and/or inorganic chemicals, minerals, or waste materials originating from diverse sources, including industrial, agricultural, clinical, and domestic activities [1][2][3][4][5]. Of these sources, industrial effluents emerge as the most significant contributors to the contamination of surface and groundwater.…”

Section: Introductionmentioning

confidence: 99%

Isothermal Remodelling of the Biosorption of Congo Red onto Kaolin

Adamu,

Basirun,

Ismail

et al. 2023

Bioremed Sci Technol Res

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A remodeling analysis was conducted on the sorption isotherm data for Congo Red adsorption onto kaolin using nonlinear regression. (CR) also known as 1-naphthalenesulfonic acid, 3,3′-(4,4′-biphenylenebis(azo)) bis(4-amino-) disodium salt, is a synthetic anionic azo dye widely utilized in various industrial sectors, including rubber, plastic, textiles, paper, and printing. This dye is of significant interest due to its versatile applications and unique chemical properties. To prevent overfitting due to the limited data points, isotherm models with up to three parameters were utilized. Statistical analysis based on error function assessments, including root-mean-square error (RMSE), adjusted coefficient of determination (adjR2), accuracy factor (AF), bias factor (BF), Bayesian Information Criterion (BIC), corrected AICc (Akaike Information Criterion), and Hannan-Quinn Criterion (HQC), revealed that the best performance was achieved by the Freundlich model, followed by the Langmuir and Jovanovic models, which ranked as the top three models.The best isotherm model was found to be the Unilan followed by (descending order) Brouers–Sotolongo, Hill, Sips and Langmuir. The Unilan maximum adsorption capacity, shows large deviation from the experimentally observed value with a large 95% confidence interval, indicating poor fitting parameters despite being the best model based on the error function analysis. The next best model was Brouers–Sotolongo with a maximum adsorption capacity, qmBS of 5.48 mg g-1 (95% confidence interval from 4.791 to 6.172) which agrees with experimental observations. The value of the maximum monolayer adsorption capacity for Congo Red binding to kaolin according to the Langmuir’s parameter qmL was 5.49 mg g-1 (95% Confidence interval from 5.018 to 5.967), while bL (L mg-1), the Langmuir model constants was 0.5 L mg-1 (95% C.I. from 0.285 to 0.710).

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Section: Introductionmentioning

confidence: 99%

Isothermal Remodelling of the Biosorption of Congo Red onto Kaolin

Adamu,

Basirun,

Ismail

et al. 2023

Bioremed Sci Technol Res

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Production of bioethanol from sago hampas via Simultaneous Saccharification and Fermentation (SSF)

et al. 2018

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Huang CH, Adeni DSA, Johnny Q, Vincent M. 2018. Production of bioethanol from sago hampas via Simultaneous Saccharification and Fermentation (SSF). Nusantara Bioscience 10: 240-245. Sago hampas is an inexpensive, renewable and abundant agro-industrial residue that can be exploited to produce bioethanol. In this study, ethanol production was performed via simultaneous saccharification and fermentation (SSF) on fresh sago hampas at 2.5%, 5.0% and 7.5% (w/v) feedstock loadings with the aid of amylolytic enzymes, cellulolytic enzymes and Saccharomyces cerevisiae, under anaerobic condition for five days with a constant agitation of 150 rpm and ambient temperature. Results obtained indicated that SSF with 5.0% (w/v) sago hampas loading produced the highest ethanol yield at 17.79 g/L (79.65% Theoretical Ethanol Yield, TEY), while SSF using 2.5% and 7.5% (w/v) sago hampas produced ethanol at only 8.38 g/L (75.00% TEY) and 23.28 g/L (69.48% TEY), respectively. Total biomass reduction was recorded between 66.3% to 71.3% by the end of the SSF period. This study demonstrated that fresh sago hampas is a promising feedstock for bioethanol production as yields are generally high for all the substrate loadings tested. Moreover, bioethanol production using fresh sago hampas may assist in reducing pollution caused by sago waste accumulation.

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Production of Bioethanol from Office Waste via Simultaneous Saccharification Fermentation

Cited by 2 publications

References 0 publications

Isothermal Remodelling of the Biosorption of Congo Red onto Kaolin

Isothermal Remodelling of the Biosorption of Congo Red onto Kaolin

Production of bioethanol from sago hampas via Simultaneous Saccharification and Fermentation (SSF)

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