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Applications of quantitative 13C NMR in pharmaceutical analysis:From small molecule drugs to biopolymers

摘要Chemical integrity is indispensable for advancing healthcare by ensuring the availability of high quality,safe,and effective pharmaceutical products.Ingredient quantification is particularly pivotal in this process.Nuclear magnetic resonance(NMR)spectroscopy is a powerful tool for both qualitative and quantitative analysis for complex systems.Compared with 1D quantitative 1H NMR(1H qNMR),quan-titative 13C NMR(13C qNMR)holds some unique advantages.This technique offers a broader chemical shift range and the resulting much lesser signal overlap compare to 1H NMR spectroscopy.This review summarizes relevant studies on the use of 13C qNMR as a quantification technique,along with a focus on quantitative principles,influencing factors,and technical improvements of 13C NMR.The review also highlights its applicability in quantifying diverse molecular structures in pharmaceutical analysis.In addition,potential of low-field NMR,artificial intelligence(AI)-driven method development,and hy-phenation of NMR with other techniques for 13C qNMR analysis is discussed and summarized as well.As a versatile method,13C qNMR holds great potential,and ongoing research is expected to unlock its full capabilities and expand its range of applications.

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作者单位 Pharmaceutical Informatics Institute,College of Pharmaceutical Sciences,Zhejiang University,Hangzhou,310058,China;Polytechnic Institute,Zhejiang University,Hangzhou,310015,China;National Key Laboratory of Chinese Medicine Modernization,Innovation Center of Yangtze River Delta,Zhejiang University,Jiaxing,Zhejiang,314100,China;Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University,Hangzhou,310018,China [1] Pharmaceutical Informatics Institute,College of Pharmaceutical Sciences,Zhejiang University,Hangzhou,310058,China [2] Department of Food Science and Technology,Pusan National University,Miryang,50463,South Korea;Institute for Future Earth,Pusan National University,Busan,46421,South Korea [3] Adesis Inc.,27 McCullough Dr,New Castle,DE,19720,USA [4] Faculty of Pharmacy,National University of Trujillo,Juan Pablo Ⅱ S/N,13011,Peru [5] Department of Food Life Sciences,Faculty of Food and Nutritional Sciences,Toyo University,48-1 Oka,Asaka-shi,Saitama,351-8510,Japan [6] Pharmaceutical Informatics Institute,College of Pharmaceutical Sciences,Zhejiang University,Hangzhou,310058,China;National Key Laboratory of Chinese Medicine Modernization,Innovation Center of Yangtze River Delta,Zhejiang University,Jiaxing,Zhejiang,314100,China;Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University,Hangzhou,310018,China [7] Pharmaceutical Informatics Institute,College of Pharmaceutical Sciences,Zhejiang University,Hangzhou,310058,China;Innovation Institute for Artificial Intelligence in Medicine of Zhejiang University,Hangzhou,310018,China [8]
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DOI 10.1016/j.jpha.2025.101346
发布时间 2026-06-18(万方平台首次上网日期,不代表论文的发表时间)
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药物分析学报(英文版)

药物分析学报(英文版)

2026年16卷1期

76-88页

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