Ternary multifunctional A<sub>1</sub>Zn<sub>y</sub>Zr<sub>z</sub>O<sub>n</sub> catalysts are prepared by introducing A-site transition metals with the redox capability i...Ternary multifunctional A<sub>1</sub>Zn<sub>y</sub>Zr<sub>z</sub>O<sub>n</sub> catalysts are prepared by introducing A-site transition metals with the redox capability into binary Zn<sub>1</sub>Zr<sub>8</sub>O<sub>n</sub>. Structure and morphology were investigated by means of XRD, BET and FESEM, respectively. Activity data showed that Cr addition exhibited obvious beneficial effect to promote isobutene production from direct conversion of bio-ethanol compared to other A-site metal dopants. A significant higher yield of isobutene over Cr-promoted Zn<sub>1</sub>Zr<sub>8</sub>O<sub>n</sub> catalyst was also observed with respect to its binary Zn<sub>1</sub>Zr<sub>8</sub>O<sub>n</sub> counterpart. The choice of A-site metal is of prime importance in the isobutene production, catalyzing mainly the ethanol dehydrogenation, meanwhile the appropriate addition of zinc on the catalyst surface is also essential for good isobutene yield.展开更多
In situ separation of ethanol during batch fermentation with CO_2 stripping and activated carbon adsorption was studied. The higher initial glucose concentration and fermentation rate were reached due to the eliminati...In situ separation of ethanol during batch fermentation with CO_2 stripping and activated carbon adsorption was studied. The higher initial glucose concentration and fermentation rate were reached due to the elimination of ethanol inhibition on the cell growth by means of CO_2 stripping. The stripped ethanol vapor was selectively adsorbed by an activated carbon column. The conde(?)sate desorbed from the adsorption column can be higher than 50% by weight. Ar unstructured model was used to simulate the experimental data satisfactorily.展开更多
To observation, poisonous gases in the environment, Sensors with high selectivity, high response and low operating temperature are required. In this work, pure SnO<sub>2</sub> nanoparticles w<span>&l...To observation, poisonous gases in the environment, Sensors with high selectivity, high response and low operating temperature are required. In this work, pure SnO<sub>2</sub> nanoparticles w<span><span><span style="font-family:;" "="">as</span></span></span><span><span><span style="font-family:;" "=""> prepared by using a simple and inexpensive technique </span></span></span><span><span><span style="font-family:;" "="">(</span></span></span><span><span><span style="font-family:;" "="">hydrothermal method</span></span></span><span><span><span style="font-family:;" "="">)</span></span></span><span><span><span style="font-family:;" "=""> without a template. Various confirmatory tests were performed to characterize SnO<sub>2</sub> nanoparticles such as energy</span></span></span><span><span><span style="font-family:;" "=""> </span></span></span><span><span><span style="font-family:;" "="">dispersive X-ray spectroscopy (EDX), X-ray diffraction (XRD), Scan<span>ning Electron Microscopy (SEM) and Transition Electron Microscopy</span> (TEM), during the detection of the gas, we found that p</span></span></span><span style="font-family:Verdana;"></span><span><span><span style="font-family:;" "="">ure SnO<sub>2</sub> nanoparticles ha</span></span></span><span><span><span style="font-family:;" "="">s</span></span></span><span><span><span style="font-family:;" "=""> a high selectivity for ethanol to 100 ppm at a low temperature (180</span></span></span><span><span><span style="font-family:;" "="">°C<span>) and a high response (about 27</span></span></span></span><span><span><span style="font-family:;" "=""> </span></span></span><span><span><span style="font-family:;" "="">s) and a low detection limit of 5 ppm, also it<span style="color:red;"> </span>h</span></span></span><span><span><span style="font-family:;" "="">ave</span></span></span><span><span><span style="font-family:" color:red;"=""> </span></span></span><span><span><span style="font-family:;" "="">response/recovery times about (4</span></span></span><span><span><span style="font-family:;" "=""> </span></span></span><span><span><span style="font-family:;" "="">s, 2</span></span></span><span><span><span style="font-family:;" "=""> </span></span></span><span><span><span style="font-family:;" "="">s) respectively. The distinctive sensing properties of SnO<sub>2</sub> sensor make it a promising candidate for ethanol detection. Furthermore, the gas-sensing mechanism have been examined.</span></span></span>展开更多
采用GC-MS分析玉米秸秆纤维素与亚/超临界乙醇液化产物,将产物划分酮类(KE)、酯类(ES)、醇类(AL)、液化残渣(RE)和其他(OT)五集总,初步探索反应网络,建立12条反应路径的5集总模型,运用遗传算法简化优化后得出计算结果和最佳条件。结果显...采用GC-MS分析玉米秸秆纤维素与亚/超临界乙醇液化产物,将产物划分酮类(KE)、酯类(ES)、醇类(AL)、液化残渣(RE)和其他(OT)五集总,初步探索反应网络,建立12条反应路径的5集总模型,运用遗传算法简化优化后得出计算结果和最佳条件。结果显示,反应级数n在0.1~1.2之间,指前因子A在1.23×10~7/h到1.78×10^(15)/h之间,活化能Ea在76.75~153.45 k J/mol。模拟结果与实验数据相吻合,证实该5集总模型是可靠的,用遗传算法计算动力学参数是可行的,为生物质转化为平台化合物提供基础数据。展开更多
文摘Ternary multifunctional A<sub>1</sub>Zn<sub>y</sub>Zr<sub>z</sub>O<sub>n</sub> catalysts are prepared by introducing A-site transition metals with the redox capability into binary Zn<sub>1</sub>Zr<sub>8</sub>O<sub>n</sub>. Structure and morphology were investigated by means of XRD, BET and FESEM, respectively. Activity data showed that Cr addition exhibited obvious beneficial effect to promote isobutene production from direct conversion of bio-ethanol compared to other A-site metal dopants. A significant higher yield of isobutene over Cr-promoted Zn<sub>1</sub>Zr<sub>8</sub>O<sub>n</sub> catalyst was also observed with respect to its binary Zn<sub>1</sub>Zr<sub>8</sub>O<sub>n</sub> counterpart. The choice of A-site metal is of prime importance in the isobutene production, catalyzing mainly the ethanol dehydrogenation, meanwhile the appropriate addition of zinc on the catalyst surface is also essential for good isobutene yield.
文摘In situ separation of ethanol during batch fermentation with CO_2 stripping and activated carbon adsorption was studied. The higher initial glucose concentration and fermentation rate were reached due to the elimination of ethanol inhibition on the cell growth by means of CO_2 stripping. The stripped ethanol vapor was selectively adsorbed by an activated carbon column. The conde(?)sate desorbed from the adsorption column can be higher than 50% by weight. Ar unstructured model was used to simulate the experimental data satisfactorily.
文摘To observation, poisonous gases in the environment, Sensors with high selectivity, high response and low operating temperature are required. In this work, pure SnO<sub>2</sub> nanoparticles w<span><span><span style="font-family:;" "="">as</span></span></span><span><span><span style="font-family:;" "=""> prepared by using a simple and inexpensive technique </span></span></span><span><span><span style="font-family:;" "="">(</span></span></span><span><span><span style="font-family:;" "="">hydrothermal method</span></span></span><span><span><span style="font-family:;" "="">)</span></span></span><span><span><span style="font-family:;" "=""> without a template. Various confirmatory tests were performed to characterize SnO<sub>2</sub> nanoparticles such as energy</span></span></span><span><span><span style="font-family:;" "=""> </span></span></span><span><span><span style="font-family:;" "="">dispersive X-ray spectroscopy (EDX), X-ray diffraction (XRD), Scan<span>ning Electron Microscopy (SEM) and Transition Electron Microscopy</span> (TEM), during the detection of the gas, we found that p</span></span></span><span style="font-family:Verdana;"></span><span><span><span style="font-family:;" "="">ure SnO<sub>2</sub> nanoparticles ha</span></span></span><span><span><span style="font-family:;" "="">s</span></span></span><span><span><span style="font-family:;" "=""> a high selectivity for ethanol to 100 ppm at a low temperature (180</span></span></span><span><span><span style="font-family:;" "="">°C<span>) and a high response (about 27</span></span></span></span><span><span><span style="font-family:;" "=""> </span></span></span><span><span><span style="font-family:;" "="">s) and a low detection limit of 5 ppm, also it<span style="color:red;"> </span>h</span></span></span><span><span><span style="font-family:;" "="">ave</span></span></span><span><span><span style="font-family:" color:red;"=""> </span></span></span><span><span><span style="font-family:;" "="">response/recovery times about (4</span></span></span><span><span><span style="font-family:;" "=""> </span></span></span><span><span><span style="font-family:;" "="">s, 2</span></span></span><span><span><span style="font-family:;" "=""> </span></span></span><span><span><span style="font-family:;" "="">s) respectively. The distinctive sensing properties of SnO<sub>2</sub> sensor make it a promising candidate for ethanol detection. Furthermore, the gas-sensing mechanism have been examined.</span></span></span>
文摘采用GC-MS分析玉米秸秆纤维素与亚/超临界乙醇液化产物,将产物划分酮类(KE)、酯类(ES)、醇类(AL)、液化残渣(RE)和其他(OT)五集总,初步探索反应网络,建立12条反应路径的5集总模型,运用遗传算法简化优化后得出计算结果和最佳条件。结果显示,反应级数n在0.1~1.2之间,指前因子A在1.23×10~7/h到1.78×10^(15)/h之间,活化能Ea在76.75~153.45 k J/mol。模拟结果与实验数据相吻合,证实该5集总模型是可靠的,用遗传算法计算动力学参数是可行的,为生物质转化为平台化合物提供基础数据。