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首页> 外文会议>4th IET Clean Energy and Technology Conference >Solubility enhancement of biomass tar in water — Benzene, toluene and ethylbenzene as model compound
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Solubility enhancement of biomass tar in water — Benzene, toluene and ethylbenzene as model compound

机译：生物质焦油在水中的溶解度提高—以苯，甲苯和乙苯为模型化合物

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The essential purpose of this study was to improve the solubility of tar model compounds - benzene, toluene and ethylbenzene in water by using three different surfactants namely Sodium Dodecyl Benzene Sulfonate (SDBS), Sodium Deoxycholate (SDO), and Ammonium Lauryl Sulfate (ALS). The entire samples in the experiment would be designed and tested for 24 hours based on Taguchi's Ln9nOrthogonal Array with optimization analysis were done by using Signal-to-Noise (S/N) ratio of `Larger-Is-Better' criterion. The parameters involved include agitation speed, solvent temperature and solvent concentration at 100 rpm, 200rpm, 300 rpm, 20°C, 30°C, 40° rpm and 333 ppm, 500 ppm, 1000 ppm respectively. Based on the result, the solvent concentration (ppm) at 1000 ppm was the dominant factor that affect solubility of tar the most while the solvent temperature (°C) was ranked at second place with the optimum result being observed at temperature of 20°C. On the other hand, the agitation speed (rpm) is the least factor affecting the rate of solubility which occurred at 300 rpm. Finally, the best surfactant that exhibit an optimum performance, capable of enhancing the rate of benzene solubility is to be SDBS which has the lowest CMC value of 1.6 mM.
机译：这项研究的主要目的是通过使用三种不同的表面活性剂（十二烷基苯磺酸钠（SDBS），脱氧胆酸钠（SDO）和月桂基硫酸铵（ALS））来提高焦油模型化合物苯，甲苯和乙苯在水中的溶解度。 。实验中的整个样本将根据Taguchi的Ln 9n采用“较大Is-更好”标准的信噪比（S / N）完成具有优化分析的正交阵列。所涉及的参数包括分别在100 rpm，200 rpm，300 rpm，20°C，30°C，40°rpm和333 ppm，500 ppm，1000 ppm的搅拌速度，溶剂温度和溶剂浓度。根据该结果，溶剂浓度（ppm）在1000 ppm时是影响焦油溶解度的主要因素，而溶剂温度（°C）排在第二位，在20°C的温度下观察到最佳结果。另一方面，搅拌速度（rpm）是影响以300rpm发生的溶解度的最小因素。最后，表现出最佳性能，能够提高苯溶解速率的最佳表面活性剂是SDBS，其最低CMC值为1.6 mM。

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