基于机器学习及模型构建的三维荧光技术研究现状

中图分类号：TP181 文献标识码：Adoi：10.3969/j.issn.1002-204x.2025.10.013

文章编号：1002-204X（2025）10-0083-05

AbstractThree-dimensional fluorescence spectroscopy，asa rapid detection technique，comprehensively characterizes the properties of fluorescent substancesinsamples by capturing the three-dimensional matrix information of excitation wavelength-mision wavelength-fluorescence intensity.In recent years，machine learning algorithms haveachieved breakthroughsin fieldssuch as feature extraction，pattern recognition，and image reconstruction.Three-dimensional fluorescence technology basedon machinelearning，through thedeep integrationof algorithmsand spectral/imaging techniques，can solveproblemssuch as high-dimensional dataanalysis，image degradation，andrapidclassificationthataredifficult to handlewith traditionalmethods.Ithasdemonstrated significantapplicationvalue in fieldssuchas theenvironment，agricultural products/food，andtraditional Chinese medicinal materials.The research progressof this technology in environmental monitoring，thequalityand safetyof agricultural products，andthequalitycontrolof traditional Chinesemedicinal materials issystematicallreviewed， aiming to provide references for further research in this cross-disciplinary field.

Key Words Machine learning; Model construction; Three-dimensional fluorescence technology

三维荧光光谱是20世纪80年代在荧光光谱分析的基础上发展衍生出来的一种新型分析技术，它反映的是荧光强度随激发波长和发射波长同时变化的规律。（剩余8968字）