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        Utilization of Microbial Oil from Poplar Wood Hemicellulose Prehydrolysate for the Production of Polyol Using Chemo-enzymatic Epoxidation

        Mahdieh Samavi,Sudip Rakshit 한국생물공학회 2020 Biotechnology and Bioprocess Engineering Vol.25 No.2

        The aim of this work was to demonstrate the production of polyol from microbial oil using wood-based hemicellulose stream through a greener enzymatic process. Yeast biomass concentration of 16.54 ± 0.65 g/L and lipid concentration of 6.97 ± 0.58 g/L were obtained by batch fermentation of hemicellulose prehydrolysate of poplar wood using an oleaginous yeast Cryptococcus curvatus. The produced microbial oil was successfully converted to epoxidized oil catalyzed by lipase with 84.55 ± 1.80% conversion. The epoxidation followed by ring opening reaction to produce polyol with hydroxyl value of 299.53 ± 1.24 mg KOH/g. This showed the possible use of the hemicellulose stream of lignocellulosic biomass to microbial oil and its subsequent conversion to polyol, a precursor to polyurethane and a number of value-added products. This bio-based polyol could be used to substitute the conventional polyols.

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        Prediction of biodiesel properties and its characterization using fatty acid profiles

        Mehdi Ardjmand,Mahdieh Samavi,Barat Ghobadian,Aliakbar Seyfkordi 한국화학공학회 2016 Korean Journal of Chemical Engineering Vol.33 No.7

        Biodiesel, the mono-alkyl esters of vegetable oils or animal fats, is an eco-friendly alternative to petrodiesel. The molecular structures of biodiesels, fatty acid methyl esters were applied to predict the characteristics of biodiesel fuels. Based on the structural similarity of biodiesel and petroleum fractions, molecular weight of biodiesel was correlated with other characteristics including boiling point, viscosity and specific-gravity in the form of three equations. For 24 different kinds of biodiesel, the minimum average relative deviation (ARD) of these correlations was calculated to be 0.68%. Moreover, two correlations were developed to predict viscosity and flash point of biodiesel as a function of weighted-average number of carbon atoms (NC) and weighted-average number of double bonds (NDB) with ARD 3.72% and 4.24% respectively. Also, a high degree of correlation was shown by the logarithmic function with ARD 0.30% between specific gravity and viscosity of biodiesel. Proposed predictive models were verified by experimental data.

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