An optimisation study on biomass delignification process using alkaline wash

Zawawi, Ashraf Zin; Gaik, Law Poh; Sebran, Noor Haida; Othman, Jofry; Hussain, A.

doi:10.1007/s13399-017-0246-x

Cited by 13 publications

(6 citation statements)

References 30 publications

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“…The untreated and pre-treated EFB fibre characteristics were tabulated in Table 2. EFB characterization in this work wwas done in accordance to the method reported by Zawawi et al [34]. Alkaline pre-treatment managed to give 54.31% delignification efficiency and comparatively increased cellulose content to 62.31% from its initial cellulose content before alkaline pre-treatment.…”

Section: Empty Fruit Bunches (Efb) Characterisationmentioning

confidence: 62%

“…All EFB fibres used in this study had undergone alkaline pre-treatment in accordance to work reported by Zawawi et al [34]. Alkaline pre-treatment of untreated EFB was carried out in a 1.5-L pressure vessel (PARR, Moline, Illinois, USA).…”

Section: Alkaline Pre-treatment Of Empty Fruit Bunches (Efb) Fibresmentioning

confidence: 99%

“…% and kept in a fridge until use. The characterization protocol of the pre-treated EFB was performed in accordance with the work reported by Zawawi et al [34].…”

Section: Alkaline Pre-treatment Of Empty Fruit Bunches (Efb) Fibresmentioning

confidence: 99%

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Optimization Study of Biomass Hydrogenation to Ethylene Glycol Using Response Surface Methodology

et al. 2020

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Statistical-based study using response surface methodology (RSM) was conducted to study the effects of process parameters towards biomass hydrogenation. Using Malaysian oil palm empty fruit bunches (EFB) fibres as feedstock, the central composite design (CCD) technique was employed and 18 runs were generated by CCD when four parameters (mass ratio of binary catalyst, hydrogen pressure, temperature and mass ratio of catalyst to feedstock) were varied with two center points to determine the effects of process parameters and eventually to get optimum ethylene glycol (EG) yield. RSM with quadratic function was generated for biomass hydrogenation, indicating all factors except temperature, were important in determining EG yield. Analysis of variance (ANOVA) showed a high coefficient of determination (R2) value of >0.98, ensuring a satisfactory prediction of the quadratic model with experimental data. The quadratic model suggested the optimum EG yield should be >25 wt.% and the EG yield results were successfully reproduced in the laboratory.

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Section: Empty Fruit Bunches (Efb) Characterisationmentioning

confidence: 62%

Section: Alkaline Pre-treatment Of Empty Fruit Bunches (Efb) Fibresmentioning

confidence: 99%

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Optimization Study of Biomass Hydrogenation to Ethylene Glycol Using Response Surface Methodology

et al. 2020

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“…The corncob utilized in this study underwent alkaline pre-treatment, following the method outlined by Zawawi et al [18]. The pre-treatment involved placing 20 g of untreated corncob in a stainless-steel autoclave (100 mL), along with 180 g of a 0.438 mol L −1 H2O2 solution at a ratio of one to nine (1:9) parts of corncob to the base solution.…”

Section: Alkaline Pre-treatment Of Corn-cobmentioning

confidence: 99%

Optimization of Ethylene Glycol Production Process from Bio Mass (Corn Cob) Using Response Surface Methodology (RSM)

Bassey,

Oghenevwegba

2024

Int. Res. J. Pure Appl. Chem.

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This study focuses on the increasing global demand for Monoethylene Glycol (MEG) and its production from corncob through Catalytic Hydrogenation. The process was optimized using Design of Experiment (DOE) and Response Surface Methodology (RSM). Physiochemical properties of the produced MEG were found to align with ASTM standards. Physiochemical properties of the produced Monoethylene glycol (MEG) was determined to have the following; density 2.19g/cm3, specific gravity 1.077 at 20 oC, flash point 116.20 oC and viscosity 12.32mm2/s at 40 oC, this values is in agreement with the ASTM standard values for monoethylene glycol. The study utilized a central composite design (CCD) with 21 runs to assess the impact of key parameters on biomass hydrogenation, revealing a quadratic model, also Analysis of variance (ANOVA) shows a high coefficient of determination (R2) of >0.9932. Four parameters (mass ratio of binary catalyst, hydrogen pressure, temperature and mass ratio of catalyst to feedstock) were varied with two center points to determine the effects of process parameters and eventually to get optimum monoethylene glycol (MEG) yield. The optimized conditions yielded a MEG yield of 70.2wt.%, demonstrating the potential of corncob as a viable source for MEG production. This finding proved that corncob can be utilized to produce monoethylene glycol (MEG) which could be potentially used in many way.

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“…It can be seen that there is an antagonistic effect on the X 1 X 2 interaction (-4.76×10 −4 ) because the OH-ions from NaOH can react with the phenolic ring in lignin so that it can increase its hydrophilicity. Delignification of NaOH can remove up to 54% of lignin in palm kernel cellulose (Hii and Mashitah, 2014) and 62.7% in empty palm fruit bunches (Zawawi et al, 2018).…”

Section: Effect Of Naoh Concentration and Ratio (Sws : Naohmentioning

confidence: 99%

Optimal Conditions for Alkaline Delignification Process in Cellulose Isolation from Sengon Wood Sawdust

Cahyani,

Adhyatmika,

Lukitaningsih

et al. 2023

Sci. Technol. Indones

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Sengon wood sawdust (SWS) is a solid waste of the wood industry with the potential as a source of cellulose and can increase its economic value. However, cellulose in plants is tightly bound to lignin which is called lignocellulose therefore needs to be delignified before utilization. In this study, we determined the optimum conditions for delignification from sengon wood sawdust cellulose (SWSC). Optimization variables were determined with the parameter of obtained hemicellulose, cellulose, and lignin content. The optimization of SWSC delignification was then carried out using the factorial design by analyzing the effect of sodium hydroxide (NaOH) concentration (2% - 10%) and ratio (SWS : NaOH solution) (1:10 – 1:80) on hemicellulose, cellulose, and lignin content. Optimal conditions were obtained at 2% NaOH (1:19.20) with concentrations of 8.01% hemicellulose, 52.49% cellulose, and 22.2% lignin. One sample T-test analysis of predictive and research values of hemicellulose, cellulose, and lignin showed insignificant results (P>0.05) which means that the optimization equation proved valid to determine the optimum conditions for cellulose delignification of sengon wood sawdust. FT-IR analysis, SEM imaging, and particle size distribution (PSA profile) showed that the cellulose produced under these conditions has similar characteristics to the standard of Avicel® PH 102.

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An optimisation study on biomass delignification process using alkaline wash

Cited by 13 publications

References 30 publications

Optimization Study of Biomass Hydrogenation to Ethylene Glycol Using Response Surface Methodology

Optimization Study of Biomass Hydrogenation to Ethylene Glycol Using Response Surface Methodology

Optimization of Ethylene Glycol Production Process from Bio Mass (Corn Cob) Using Response Surface Methodology (RSM)

Optimal Conditions for Alkaline Delignification Process in Cellulose Isolation from Sengon Wood Sawdust

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