Year: 2025
Type: article
Abstract: 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-PDS-Ferrous 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.
Source: Journal of Molecular Science
Authors: Jiaxin WANG, Jinlan YANG, Mengyuan HUANG, Liang ZHAO, Baoli LI, Li YANG
Institution: Northeast Normal University
Language: English
Subfield: Fuel Technology
Field: Energy
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4414548174