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首页> 外文期刊>Journal of Cleaner Production >Photohydrogen production from dark-fermented palm oil mill effluent (DPOME) and statistical optimization: Renewable substrate for hydrogen
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Photohydrogen production from dark-fermented palm oil mill effluent (DPOME) and statistical optimization: Renewable substrate for hydrogen

机译:深色发酵棕榈油厂废水(DPOME)中的光氢产生和统计优化:氢气的可再生底物

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Biological hydrogen production through photo-fermentative process using dark fermented palm oil effluent (DPOME) is a cost effective and environmentally benign process. In this study, effect of various factors like light intensity, agitation rate and dilution of DPOME on the hydrogen productivity of Rhodopseudomanas palustris were investigated using batch system. Investigation methods like response surface methodology (RSM) and Box-Behnken design were employed to investigate the optimum conditions for enhanced photo-fermentative hydrogen production. The regression analysis suggested that hydrogen yield was well fitted by a quadratic polynomial equation (R-2 = 0.92). The hydrogen production was investigated by varying the intensity levels of these three independent variables, in which all have significant influences on hydrogen yield. The set of 19 experimental runs were conducted to optimize these variables. The highest hydrogen yield of 3.07 +/- 0.66 H-2 yield mol-H-2/mol-acetate was obtained under the optimum condition of light intensity 250 W/m(2), agitation rate 200 rpm, and 30% dilution of DPOME. The experimentally obtained hydrogen yield found out to be in a good agreement with predicted yield which was about 2.80 mol-H-2/mol-acetate. In short, results suggest that experimental strategy using RSM approach along with Box-Behnken design can be a promising approach to achieve enhanced biological hydrogen production. (C) 2018 Elsevier Ltd. All rights reserved.
机译:使用深色发酵棕榈油废水(DPOME)通过光发酵过程生产生物氢是一种经济高效且对环境无害的过程。在这项研究中,使用分批系统研究了光强度,搅拌速率和DPOME稀释等因素对红假单胞菌产氢量的影响。研究方法如响应面法(RSM)和Box-Behnken设计用于研究增强光发酵制氢的最佳条件。回归分析表明,氢气产率非常适合二次多项式方程(R-2 = 0.92)。通过改变这三个独立变量的强度水平来研究制氢,其中三个变量均对制氢量产生重大影响。进行了19组实验运行以优化这些变量。在250 W / m(2)的光强度,200 rpm的搅拌速度和30%的H2O3稀释度的最佳条件下,获得的最高氢产量为3.07 +/- 0.66 H-2产量mol-H-2 / mol-乙酸盐。 DPOME。发现实验获得的氢产率与预测的产率约2.80mol-H-2 / mol-乙酸酯具有良好的一致性。简而言之,结果表明,使用RSM方法与Box-Behnken设计一起进行的实验策略可能是实现增强的生物制氢量的有前途的方法。 (C)2018 Elsevier Ltd.保留所有权利。

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