{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T21:36:24Z","timestamp":1775424984745,"version":"3.50.1"},"reference-count":124,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2023,12,25]],"date-time":"2023-12-25T00:00:00Z","timestamp":1703462400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100017242","name":"NIFDC","doi-asserted-by":"publisher","award":["2021X4"],"award-info":[{"award-number":["2021X4"]}],"id":[{"id":"10.13039\/100017242","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s24010106","type":"journal-article","created":{"date-parts":[[2023,12,25]],"date-time":"2023-12-25T03:42:12Z","timestamp":1703475732000},"page":"106","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Application of Data Fusion in Traditional Chinese Medicine: A Review"],"prefix":"10.3390","volume":"24","author":[{"given":"Rui","family":"Huang","sequence":"first","affiliation":[{"name":"National Institutes for Food and Drug Control, Beijing 102629, China"},{"name":"School of Traditional Chinese Pharmacy, China Pharmaceutical University, Nanjing 211198, China"}]},{"given":"Shuangcheng","family":"Ma","sequence":"additional","affiliation":[{"name":"National Institutes for Food and Drug Control, Beijing 102629, China"}]},{"given":"Shengyun","family":"Dai","sequence":"additional","affiliation":[{"name":"National Institutes for Food and Drug Control, Beijing 102629, China"}]},{"given":"Jian","family":"Zheng","sequence":"additional","affiliation":[{"name":"National Institutes for Food and Drug Control, Beijing 102629, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,12,25]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"153279","DOI":"10.1016\/j.phymed.2020.153279","article-title":"Contribution of Traditional Chinese Medicine to the Treatment of COVID-19","volume":"85","author":"Wang","year":"2021","journal-title":"Phytomedicine"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"888","DOI":"10.1016\/j.eng.2019.01.015","article-title":"Quality Markers of Traditional Chinese Medicine: Concept, Progress, and Perspective","volume":"5","author":"Li","year":"2019","journal-title":"Engineering"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"130633","DOI":"10.1016\/j.foodchem.2021.130633","article-title":"The Use of Analytical Techniques Coupled with Chemometrics for Tracing the Geographical Origin of Oils: A Systematic Review (2013\u20132020)","volume":"366","author":"Tahir","year":"2022","journal-title":"Food Chem."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.aca.2011.03.025","article-title":"On the Increase of Predictive Performance with High-Level Data Fusion","volume":"705","author":"Doeswijk","year":"2011","journal-title":"Anal. 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