As by-products of petroleum refining,heavy oils are characterized by a high carbon content,low cost and great variability,making them competitive precursors for the anodes of potassium ion batteries(PIBs).However,the ...As by-products of petroleum refining,heavy oils are characterized by a high carbon content,low cost and great variability,making them competitive precursors for the anodes of potassium ion batteries(PIBs).However,the relationship between heavy oil composition and potassium storage performance remains unclear.Using heavy oils containing distinct chemical groups as the carbon source,namely fluid catalytic cracking slurry(FCCS),petroleum asphalt(PA)and deoiled asphalt(DOA),three carbon nanosheets(CNS)were prepared through a molten salt method,and used as the anodes for PIBs.The composition of the heavy oil determines the lamellar thicknesses,sp^(3)-C/sp^(2)-C ratio and defect concentration,thereby affecting the potassium storage performance.The high content of aromatic hydrocarbons and moderate amount of heavy component moieties in FCCS produce carbon nanosheets(CNS-FCCS)that have a smaller layer thickness,larger interlayer spacing(0.372 nm),and increased number of folds than in CNS derived from the other three precursors.These features give it faster charge/ion transfer,more potassium storage sites and better reaction kinetics.CNS-FCCS has a remarkable K^(+)storage capacity(248.7 mAh g^(-1) after 100 cycles at 0.1 A g^(-1)),long cycle lifespan(190.8 mAh g^(-1) after 800 cycles at 1.0 A g^(-1))and excellent rate capability,ranking it among the best materials for this application.This work sheds light on the influence of heavy oil composition on carbon structure and electrochemical performance,and provides guidance for the design and development of advanced heavy oil-derived carbon electrodes for PIBs.展开更多
[Objective]This study aimed to establish a multiplex PCR detection method of herbicide-tolerant canola.[Method] An endogenous reference gene(CruA) and three exogenous genes(T-CaMV 35 S, P-CaMV 35 S and pat) were selec...[Objective]This study aimed to establish a multiplex PCR detection method of herbicide-tolerant canola.[Method] An endogenous reference gene(CruA) and three exogenous genes(T-CaMV 35 S, P-CaMV 35 S and pat) were selected for multiplex PCR. Specific primers were designed based on national standards or related literature. The annealing temperature, ratio of primer concentration and sensitivity of the established multiplex PCR system were optimized. The optimal multiplex PCR system was verified with known samples. [Result] The experimental results showed that the optimal annealing temperature of multiplex PCR was 58 ℃; the optimal ratio of primer concentration(μmol/L) was T-CaMV 35S: CruA: P-CaMV 35S: pat=0.1: 0.2: 0.2: 0.2;the detection sensitivity of the established multiplex PCR method was 0.3 ng. The amplified bands of known samples were completely consistent with the molecular characteristics. [Conclusion] This study provided a rapid, accurate and effective multiplex PCR technique for detection of herbicide-tolerant canola.展开更多
A methodology for kinetic modeling of conversion processes is presented.The proposed approach allows to overcome the lack of molecular detail of the petroleum fractions and to simulate the reactions of the process by ...A methodology for kinetic modeling of conversion processes is presented.The proposed approach allows to overcome the lack of molecular detail of the petroleum fractions and to simulate the reactions of the process by means of a two-step procedure.In the first step,a synthetic mixture of molecules representing the feedstock is generated via a molecular reconstruction method,termed SR-REM molecular reconstruction.In the second step,a kinetic Monte Carlo method,termed stochastic simulation algorithm(SSA),is used to simulate the effect of the conversion reactions on the mixture of molecules.The resulting methodology is applied to the Athabasca vacuum residue hydrocracking.An adequate molecular representation of the vacuum residue is obtained using the SR-REM algorithm.The reaction simulations present a good agreement with the laboratory data for Athabasca vacuum residue conversion.In addition,the proposed methodology provides the molecular detail of the vacuum residue conversion throughout the reactions simulations.展开更多
文摘As by-products of petroleum refining,heavy oils are characterized by a high carbon content,low cost and great variability,making them competitive precursors for the anodes of potassium ion batteries(PIBs).However,the relationship between heavy oil composition and potassium storage performance remains unclear.Using heavy oils containing distinct chemical groups as the carbon source,namely fluid catalytic cracking slurry(FCCS),petroleum asphalt(PA)and deoiled asphalt(DOA),three carbon nanosheets(CNS)were prepared through a molten salt method,and used as the anodes for PIBs.The composition of the heavy oil determines the lamellar thicknesses,sp^(3)-C/sp^(2)-C ratio and defect concentration,thereby affecting the potassium storage performance.The high content of aromatic hydrocarbons and moderate amount of heavy component moieties in FCCS produce carbon nanosheets(CNS-FCCS)that have a smaller layer thickness,larger interlayer spacing(0.372 nm),and increased number of folds than in CNS derived from the other three precursors.These features give it faster charge/ion transfer,more potassium storage sites and better reaction kinetics.CNS-FCCS has a remarkable K^(+)storage capacity(248.7 mAh g^(-1) after 100 cycles at 0.1 A g^(-1)),long cycle lifespan(190.8 mAh g^(-1) after 800 cycles at 1.0 A g^(-1))and excellent rate capability,ranking it among the best materials for this application.This work sheds light on the influence of heavy oil composition on carbon structure and electrochemical performance,and provides guidance for the design and development of advanced heavy oil-derived carbon electrodes for PIBs.
基金Supported by Special Fund for Modern Agricultural Technology Innovation and Demonstration of Sichuan Province(2014CXSF-040)General Natural Science Project of the Education Department of Sichuan Province(15ZB0331)
文摘[Objective]This study aimed to establish a multiplex PCR detection method of herbicide-tolerant canola.[Method] An endogenous reference gene(CruA) and three exogenous genes(T-CaMV 35 S, P-CaMV 35 S and pat) were selected for multiplex PCR. Specific primers were designed based on national standards or related literature. The annealing temperature, ratio of primer concentration and sensitivity of the established multiplex PCR system were optimized. The optimal multiplex PCR system was verified with known samples. [Result] The experimental results showed that the optimal annealing temperature of multiplex PCR was 58 ℃; the optimal ratio of primer concentration(μmol/L) was T-CaMV 35S: CruA: P-CaMV 35S: pat=0.1: 0.2: 0.2: 0.2;the detection sensitivity of the established multiplex PCR method was 0.3 ng. The amplified bands of known samples were completely consistent with the molecular characteristics. [Conclusion] This study provided a rapid, accurate and effective multiplex PCR technique for detection of herbicide-tolerant canola.
文摘A methodology for kinetic modeling of conversion processes is presented.The proposed approach allows to overcome the lack of molecular detail of the petroleum fractions and to simulate the reactions of the process by means of a two-step procedure.In the first step,a synthetic mixture of molecules representing the feedstock is generated via a molecular reconstruction method,termed SR-REM molecular reconstruction.In the second step,a kinetic Monte Carlo method,termed stochastic simulation algorithm(SSA),is used to simulate the effect of the conversion reactions on the mixture of molecules.The resulting methodology is applied to the Athabasca vacuum residue hydrocracking.An adequate molecular representation of the vacuum residue is obtained using the SR-REM algorithm.The reaction simulations present a good agreement with the laboratory data for Athabasca vacuum residue conversion.In addition,the proposed methodology provides the molecular detail of the vacuum residue conversion throughout the reactions simulations.
