An Intelligent Management Model for College-Level Reagent Repositories in Universities

Effective management of chemical reagents in universities is essential for laboratory safety and operational efficiency. Manual management models characterized by fragmented oversight are insufficient to ensure traceability, real-time monitoring, and safety compliance, as evidenced by the recurring occurrence of laboratory safety accidents. In this study, we propose an intelligent management model for college-level chemical reagent repositories. The model was built on a Laboratory Information Management System (LIMS)-based architecture and modified using Internet of Things (IoT) sensing, Radio Frequency Identification (RFID), and intelligent hardware. It transforms the full-lifecycle of reagents (from procurement and storage to distribution, usage, and waste disposal) into a digital, automated, closed-loop process. In addition, this study also highlights key technical challenges, including heterogenous system integration and reliable data acquisition under complex environmental conditions, and proposes practical strategies, such as lightweight Application Programming Interface (API) middleware. The results show that the proposed model is a feasible and robust framework for precise, proactive, and data-driven management of hazardous chemicals in academic settings.