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Molecules 2018, 23(5), 1177;

Validated 1H and 13C Nuclear Magnetic Resonance Methods for the Quantitative Determination of Glycerol in Drug Injections

Institute of Traditional Chinese Medicine Research, Tianjin University of Traditional Chinese Medicine, Tianjin 300193, China
State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100006, China
Author to whom correspondence should be addressed.
Received: 29 March 2018 / Revised: 5 May 2018 / Accepted: 7 May 2018 / Published: 15 May 2018
(This article belongs to the Section Analytical Chemistry)
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In the current study, we employed high-resolution proton and carbon nuclear magnetic resonance spectroscopy (1H and 13C NMR) for quantitative analysis of glycerol in drug injections without any complex pre-treatment or derivatization on samples. The established methods were validated with good specificity, linearity, accuracy, precision, stability, and repeatability. Our results revealed that the contents of glycerol were convenient to calculate directly via the integration ratios of peak areas with an internal standard in 1H NMR spectra, while the integration of peak heights were proper for 13C NMR in combination with an external calibration of glycerol. The developed methods were both successfully applied in drug injections. Quantitative NMR methods showed an extensive prospect for glycerol determination in various liquid samples. View Full-Text
Keywords: quantitative analysis; 1H NMR; 13C NMR; glycerol quantitative analysis; 1H NMR; 13C NMR; glycerol

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Lu, J.; Wang, P.; Wang, Q.; Wang, Y.; Jiang, M. Validated 1H and 13C Nuclear Magnetic Resonance Methods for the Quantitative Determination of Glycerol in Drug Injections. Molecules 2018, 23, 1177.

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