Desulfurization of coke oven gas(COG)is a critical step for achieving green and sustainable development in the coking industry.Ammonium binuclear cobalt phthalocyanine sulfonate(PDS),serving as the core catalyst in th...Desulfurization of coke oven gas(COG)is a critical step for achieving green and sustainable development in the coking industry.Ammonium binuclear cobalt phthalocyanine sulfonate(PDS),serving as the core catalyst in the Hydroquinone-PDSFerrous sulfate(HPF)desulfurization process,requires precise concentration monitoring for process optimization.To address the limitations of traditional detection methods,including insufficient sensitivity,cumbersome manual operations,and weak anti-interference capability,this study developed a fully automated analytical system and method based on spectrophotometry,thereby filling a technological gap in automated PDS detection.Systematic performance validation demonstrated that the autoanalyzer exhibits excellent sensitivity and a wide linear range,with results consistent with industrial standard methods.Leveraging a programmable logic controller(PLC),the system achieves end-to-end automation from sample pretreatment to data feedback,overcoming limitations inherent in manual operations such as delayed sample processing and human-induced errors,which significantly enhances the sensitivity and timeliness of PDS concentration monitoring in complex industrial matrices.The proposed method offers triple benefits of environmental friendliness,cost-effectiveness,and social value,providing key technical support for the coking industry.展开更多
基金supported by the cross-sectional research project sponsored by Jilin Baoli Science and Technology Co.(2024-2200-0800-0378)
文摘Desulfurization of coke oven gas(COG)is a critical step for achieving green and sustainable development in the coking industry.Ammonium binuclear cobalt phthalocyanine sulfonate(PDS),serving as the core catalyst in the Hydroquinone-PDSFerrous sulfate(HPF)desulfurization process,requires precise concentration monitoring for process optimization.To address the limitations of traditional detection methods,including insufficient sensitivity,cumbersome manual operations,and weak anti-interference capability,this study developed a fully automated analytical system and method based on spectrophotometry,thereby filling a technological gap in automated PDS detection.Systematic performance validation demonstrated that the autoanalyzer exhibits excellent sensitivity and a wide linear range,with results consistent with industrial standard methods.Leveraging a programmable logic controller(PLC),the system achieves end-to-end automation from sample pretreatment to data feedback,overcoming limitations inherent in manual operations such as delayed sample processing and human-induced errors,which significantly enhances the sensitivity and timeliness of PDS concentration monitoring in complex industrial matrices.The proposed method offers triple benefits of environmental friendliness,cost-effectiveness,and social value,providing key technical support for the coking industry.
