Ze-Zheng Li , Wei-Jia Jiang , Yu-Gao Wang , Zhi-Lei Wang , Jun Shen , Xian-Yong Wei
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引用次数: 0
Abstract
The development of a coal-based synthetic route to produce benzene polycarboxylic acids (BPCAs) is of great importance for the highly efficient utilization of lignites. In this paper, aqueous NaCl electrolytic system was used to oxidize Zhaotong lignite to prepare BPCAs. The electrochemical oxidation of lignite in aqueous NaCl solution could produce more BPCAs than that in aqueous NaOH solution. The aqueous NaCl electrolytic system could in-suit produce a stable OCl−, which was synthesized by the combination reaction between Cl2 and OH− generated in the anode or cathode, respectively. The in-suit produced OCl− would degrade the organic structures of the lignite dispersing in the electrolyte to generate BPCAs. The formation of BPCAs could be greatly affected by current density, electrolysis time and the addition amount of NaCl in the electrolytic system, which resulted from that the factors played an important role in the generation of OCl−. The coal related model compounds including anthracene and phenanthrene were used to investigate the electrochemical oxidation mechanism of the lignite. The results indicated that the aromatic ring structures in the lignite were attacked by O2− from the OCl− to afford BPCAs.
期刊介绍:
Carbon Resources Conversion (CRC) publishes fundamental studies and industrial developments regarding relevant technologies aiming for the clean, efficient, value-added, and low-carbon utilization of carbon-containing resources as fuel for energy and as feedstock for materials or chemicals from, for example, fossil fuels, biomass, syngas, CO2, hydrocarbons, and organic wastes via physical, thermal, chemical, biological, and other technical methods. CRC also publishes scientific and engineering studies on resource characterization and pretreatment, carbon material innovation and production, clean technologies related to carbon resource conversion and utilization, and various process-supporting technologies, including on-line or off-line measurement and monitoring, modeling, simulations focused on safe and efficient process operation and control, and process and equipment optimization.