National Institutes for Food and Drug Control, Beijing 102629, China.
School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China.
Sensors (Basel). 2023 Dec 25;24(1):106. doi: 10.3390/s24010106.
Traditional Chinese medicine is characterized by numerous chemical constituents, complex components, and unpredictable interactions among constituents. Therefore, a single analytical technique is usually unable to obtain comprehensive chemical information. Data fusion is an information processing technology that can improve the accuracy of test results by fusing data from multiple devices, which has a broad application prospect by utilizing chemometrics methods, adopting low-level, mid-level, and high-level data fusion techniques, and establishing final classification or prediction models. This paper summarizes the current status of the application of data fusion strategies based on spectroscopy, mass spectrometry, chromatography, and sensor technologies in traditional Chinese medicine (TCM) in light of the latest research progress of data fusion technology at home and abroad. It also gives an outlook on the development of data fusion technology in TCM analysis to provide references for the research and development of TCM.
中医药的特点是化学成分众多、成分复杂,且成分之间相互作用不可预测。因此,单一的分析技术通常无法获得全面的化学成分信息。数据融合是一种信息处理技术,它可以通过融合来自多个设备的数据来提高测试结果的准确性,通过利用化学计量学方法、采用低级、中级和高级数据融合技术,并建立最终的分类或预测模型,该技术具有广阔的应用前景。本文综述了基于光谱、质谱、色谱和传感器技术的中药数据融合策略的最新研究进展,总结了数据融合技术在中医药分析中的应用现状,展望了数据融合技术在中医药分析中的发展,为中医药的研究和开发提供参考。