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| 1 | Microbial community structures in an integrated two-phase anaerobic bioreactor fed by fruit vegetable wastes and wheat straw显示文摘The microbial community structures in an integrated two-phase anaerobic reactor(ITPAR)were investigated by 16S r DNA clone library technology.The 75 L reactor was designed with a 25 L rotating acidogenic unit at the top and a 50 L conventional upflow methanogenic unit at the bottom,with a recirculation connected to the two units.The reactor had been operated for 21 stages to co-digest fruit/vegetable wastes and wheat straw,which showed a very good biogas production and decomposition of cellulosic materials.The results showed that many kinds of cellulose and glycan decomposition bacteria related with Bacteroidales,Clostridiales and Syntrophobacterales were dominated in the reactor,with more bacteria community diversities in the acidogenic unit.The methanogens were mostly related with Methanosaeta,Methanosarcina,Methanoculleus,Methanospirillum and Methanobacterium;the predominating genus Methanosaeta,accounting for 40.5%,54.2%,73.6%and 78.7%in four samples from top to bottom,indicated a major methanogenesis pathway by acetoclastic methanogenesis in the methanogenic unit.The beta diversity indexes illustrated a more similar distribution of bacterial communities than that of methanogens between acidogenic unit and methanogenic unit.The differentiation of methanogenic community composition in two phases,as well as pH values and volatile fatty acid(VFA)concentrations confirmed the phase separation of the ITPAR.Overall,the results of this study demonstrated that the special designing of ITPAR maintained a sufficient number of methanogens,more diverse communities and stronger syntrophic associations among microorganisms,which made two phase anaerobic digestion of cellulosic materials more efficient. | Chong Wang Jiane Zuo Xiaojie Chen Wei Xing Linan Xing Peng Li Xiangyang Lu Chao Li | 2014 | Journal of Environmental Sciences2014，26，12： | 6 |
| 2 | pH modeling for maximum dissolved organic matter removal by enhanced coagulation显示文摘Correlations between raw water characteristics and pH after enhanced coagulation to maximize dissolved organic matter(DOM) removal using four typical coagulants(FeCl3,Al2(SO4)3,polyaluminum chloride(PACl) and high performance polyaluminum chloride(HPAC)) without pH control were investigated.These correlations were analyzed on the basis of the raw water quality and the chemical and physical fractionations of DOM of thirteen Chinese source waters over three seasons.It was found that the final pH after enhanced coagulation for each of the four coagulants was in?uenced by the content of removable DOM(i.e.hydrophobic and higher apparent molecular weight(AMW) DOM),the alkalinity and the initial pH of raw water.A set of feed-forward semi-empirical models relating the final pH after enhanced coagulation for each of the four coagulants with the raw water characteristics were developed and optimized based on correlation analysis.The established models were preliminarily validated for prediction purposes,and it was found that the deviation between the predicted data and actual data was low.This result demonstrated the potential for the application of these models in practical operation of drinking water treatment plants. | Jiankun Xie Dongsheng Wang John van Leeuwen Yanmei Zhao Linan Xing Christopher W. K. Chow | 2012 | Journal of Environmental Sciences2012，24，2： | 5 |
| 3 | Prediction of DOM removal of low specific UV absorbance surface waters using HPSEC combined with peak fitting显示文摘High performance size exclusion chromatography (HPSEC) is used in water quality research primarily to determine the molecular weight distribution of the dissolved organic matter (DOM), but by applying peak fitting to the chromatogram, this technique can also be used as a tool to model and predict DOM removal. Six low specific UV absorbance (SUVA) source waters were treated using coagulation with alum and both the source and treated water samples were analysed using HPSEC. By comparing the molecular weight profiles of the source and treated waters, it was established that several DOM components were not effectively removed by alum coagulation even after high dosage alum treatment. A peak-fitting technique was applied based on the concept of linking the character (molecular weight profile) of the recalcitrant organics in the treated water with those of the source water. This was then applied to predict DOM treatability by determining the areas of the peaks which were assigned to removable organics from the source water molecular weight profile after peak fitting, and this technique quantified the removable and non-removable organics. The prediction was compared with the actual dissolved organic carbon (DOC) removal determined from jar testing and showed good agreement, with variance between 2% and 10%. This confirmed that this prediction approach, which was originally developed for high SUVA waters, can also be applied successfully to predict DOC removal in low SUVA waters. | Linan Xing Rolando Fabris W.K.Chow John van Leeuwen Mary Drikas Dongsheng Wang | 2012 | Journal of Environmental Sciences2012，24，7： | 4 |
| 4 | Suppressing byproduct formation for high selective CO_(2) reduction over optimized Ni/TiO_(2) based catalysts显示文摘One of the challenges for catalytic CO_(2)reduction is to control product selectivity,and new findings that can modify selectivity would be transformative.Herein,two kinds of TiO_(2)(homemade and commercial)with the same crystal phase but different surface properties are chosen as supports to prepare Ni-based catalysts for CO_(2)reduction,which show distinctly different product selectivity for CO_(2)reduction to CH_(4) or CO,as well as the CO_(2)conversion.The catalysts based on the homemade TiO_(2)support are highly selective for CH_(4) formation,while the latter ones are about 100%selective for CO formation under the same reaction conditions.In addition,the former ones are much active(more than 3 times)than the latter ones.We found that the collaborative contribution of Ti^(3+)and Ni^(2+)species and the electronic metal-support interactions effect maybe the main driving force behind for determining the product selectivity.Methane is almost exclusively produced over the catalysts with abundant Ti^(3+)and Ni^(2+)species and greater electronic metal-support interaction,otherwise,it will give priority to CO generation.The addition of CeO_(2)can reduce the Ni particle size and improve the dispersion of Ni nanoparticles,as well as create more Ti^(3+)species,contributing to the enhancement of CO_(2)conversion,but shows a negligible effect on product selectivity.Furthermore,the in situ DRIFT experiments and kinetic experiments indicate that the CO route is probably involved in the CO_(2)reduction process over the homemade Ni-CeO_(2)/TiO_(2)-CO catalyst with abundant Ti^(3+)and Ni^(2+)species and a strong electronic transform effect. | Danyang Li Ruidong Xu Roong Jien Wong Xing Zhu Dong Tian Lei Jiang Qingjie Guo Hongcun Bai Linan Huang Wen Liu Hua Wang Kongzhai Li | 2022 | Journal of Energy Chemistry2022，31，9： | 0 |
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