A Guide to Quantitative NMR (qNMR)
 Feb 9, 2024 
  Quantitative NMR (qNMR) stands as a robust analytical method for evaluating pharmaceutical purity. In analytical chemistry, nuclear magnetic resonance (NMR) spectroscopy is a powerful technique that provides structural, dynamic, and interaction insights into organic molecules while enabling highly accurate quantitative measurements. A defining advantage of qNMR is the direct proportionality between NMR signal integrals and nucleus concentration, making it ideal for precise purity analysis At first glance, qNMR spectroscopy seems straightforward—dissolve your sample in a deuterated solvent, ensure presence of NMR-active nuclei, and integrate signal intensities to determine concentrations. But achieving reliable quantification depends on meticulous method planning, careful spectrum processing, and strict adherence to best practices. qNMR appears simple at first glance. It only requires the sample to dissolve completely in a deuterated solvent and to contain NMR-active nuclides. By measuring the intensity of NMR signals we can determine the concentration of products and impurities in a solution. We will see that it is not that simple at all. In this guide, we will primarily focus on quantitative 1H NMR the most widely-used form of qNMR. It has well-known advantages: 
 where P is the purity, I is the integral value, N is the relative number of protons giving rise to the peak, M is the molar mass and m is the mass, while “a” corresponds to the analyte and “std” for the standard. Potential Applications Quantitative NMR spectroscopy proves to be a valuable tool for assessing the purity of small molecules, offering a spectrum with clear signal separation. In pharmaceutical analysis, qNMR is pivotal for drug formulation, ensuring accurate dosage of active pharmaceutical ingredients (APIs), monitoring reaction progress, and verifying the purity of pharmaceutical products. The application of qNMR extends to the analysis of food and beverages, encompassing tasks such as determining sugar content in beverages, verifying the authenticity of honey and wine, and assessing the fatty acid composition of oils. In the realm of moisture- and air-sensitive molecules, qNMR stands out. Utilizing screw-cap NMR tubes allows samples to be prepared within a glove box and measured in an inert environment—an advantage not feasible with other high-resolution techniques like mass spectrometry. For relative quantification without an internal standard, qNMR excels in quantifying diastereomer ratios. The versatility of qNMR is further evident in its application for quantifying natural products and in forensic analysis. qNMR Advantages Let’s compare qNMR with the widely used quantification tools, such as gas chromatography (GC) or liquid chromatography (LC). In most detectors, creating a calibration curve is essential, ideally using the same compound as the analyte. This curve correlates measured signal intensities with concentrations, requiring time-consuming processes of preparing solutions in various concentrations, measuring, processing, and periodic remeasurement. Unlike chromatography, NMR, being inherently quantitative, doesn’t necessitate a calibration curve. NMR allows simultaneous measurement of all components in the mixture. However, qNMR has limitations, particularly with complex mixtures due to signal overlap. Opting for nuclei other than 1H, like 19F, can enhance signal dispersion but might slow down the NMR experiment due to its relatively low sensitivity. In summary, chromatography is generally more cost-effective and quicker than qNMR. Yet, qNMR’s direct and linear response, high precision with low uncertainty, and inert nature offer distinct advantages. For more information about qNMR and Emery Pharma’s NMR capabilities, contact us online or call us at or call us at +1 (510) 899-8814! About the Author Authored by Dr. Ryan Cheu, Director of Chemistry  
 - highest gyromagnetic ratio amongst stable NMR active nuclei.
 - natural abundance is 99.99%.
 - short relaxation times (usually below a few seconds).
 
- Method Planning
 - Sample Preparation
 - Data Collection
 - Data Processing