现代智能光谱分析技术的演进、进展及展望OA

Modern intelligent spectroscopy analytical technology employs spectroscopic instruments as carriers,integrating intelligent algorithms with system-level integration to achieve rapid,non-destructive,on-line or in-situ analysis of material composition and properties.This paper systematically reviewed the evolutionary trajectory of this technology,from the chemometrics-driven paradigm breakthrough,through the phase of hardware-algorithm collaborative system construction,to its current stage of deep integration with artificial intelligence,revealing the inherent logic of its transformation from a single measurement tool into an intelligent analytical system.It focused on exploring the multi-level synergistic relationship between modern spectroscopy and traditional wet chemistry,arguing that the two were not simply in a substitutional relationship but have formed a deeply complementary symbiotic system across dimensions such as calibration traceability,rapid screening synergy,efficiency restructuring,and industrial integration.Building on this foundation,key challenges and frontier explorations in technological development were analyzed from multiple perspectives,including the understanding of spectral mechanisms,sample system characterization,full-scenario spectral acquisition,modeling evaluation and standardization,and the evolution towards consumer-grade products.The field currently still faced significant challenges in areas such as model interpretability,knowledge extraction from high-dimensional data,engineering integration,and large-scale deployment.Future trends will transition from data fitting to knowledge creation,from standalone instruments to integration within intelligent ecosystems,and from closed tools to open platforms.Through coordinated advancements in hardware innovation and standardization,this will drive the sustainable development of the technological ecosystem,gradually establishing modern intelligent spectroscopy as a foundational infrastructure and innovation engine embedded within scientific research,industrial production,and daily applications.