The Scientific Reports paper by Fukuoka and Furusho, entitled “A new approach for explosion accident prevention in chemical research laboratories at universities” is featured under “Research from Nature Portfolio” in the Nature Index Research Intelligence Topic “Chemical Safety Education in Academic Laboratories.” The paper presents a systematic analysis of explosion accidents in university research laboratories using the SHEL (Software, Hardware, Environment, Liveware) model, identifying recurring contributory factors across multiple accidents.
Nature Index describes this research in the context of systematic analysis of laboratory accidents, standardized accident investigation, information sharing among institutions, and the development of preventive guidelines. The approach developed in this study, Accident Investigation → Factor Structuring → Identification of Common Factors → Lessons Learned → Accident Prevention, has subsequently developed into the RMQMP® Framework for systematic accident analysis and prevention.
RMQMP Institute is currently further developing this research through RMQMP AIOS, which is at the research and validation stage and aims to use AI to structure accident information, construct Learning Datasets, develop mathematical models, and support safety design.
Nature Index
Chemical Safety Education in Academic Laboratories — Nature Index
Original Scientific Reports Article