数据融合技术在中药分析领域中的应用进展

由于中药成分复杂，依据单一的检测分析技术往往无法获得充分的样本化学信息，信息表征不全面导致中药质量检测精度较低。数据融合技术通过对多种检测信息结果进行关联综合分析，可从信息互补的角度增强检测精度、降低检测误差。目前，已经有相关学者将数据融合技术应用到中药检测分析中并取得了较好的结果。通过从中药原料、生产加工过程及终产品质量控制3个方面出发，论述了目前数据融合技术在中药领域全过程生产质量检测和控制中的应用进展，展现了数据融合技术与中药检验及质量控制结合的应用潜力，为数据融合技术在中药分析领域中的进一步深入应用提供参考。

Application progress on data fusion technology in analysis field of traditional Chinese medicine

Due to the complex composition of traditional Chinese medicine (TCM), it is often impossible to obtain sufficient chemical information from samples based on a single detection and analysis technique. The situation of incomplete detection of information leads to low accuracy of TCM quality detection. Data fusion technology can enhance detection accuracy and reduce detection errors from the perspective of complementary information by correlating and synthesizing the results of multiple detection information. At present, some scholars have applied data fusion technology to the analysis of TCM detection and achieved good results. By summarizing the research on three aspects of data fusion technology in the quality control of raw materials, production and processing processes, and final products of TCM, this article discusses the application of data fusion technology in the detection and control of product quality during the whole production process of TCM, showing the potential of data fusion technology combined with TCM inspection and quality control, and providing a reference for the further in-depth application of data fusion technology in the field of TCM analysis.