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Quantitative Nuclear magnetic Resonance (QNMR) is an analytical chemistry technique for determining the amount of a component in a sample. It is based on the concepts of NMR spectroscopy, a strong analytical tool used to analyze the structure, dynamics, and interactions of molecules.
The intensity of the NMR signal is utilized in QNMR to calculate the quantity of substance contained in a sample. The NMR signal of the substance of interest is compared to that of a recognized reference chemical.
The substance content in the sample is then calculated by comparing its NMR signal to the calibration curve.
QNMR is a very accurate and exact technology for determining the amount of a chemical in a sample, with average measurement errors of less than 1%. Because it is a non-destructive approach, the sample can be utilized for additional analysis following the QNMR measurement.
QNMR is frequently utilized in the pharmaceutical business for drug substance and drug product quality control, as well as in other areas of analytical chemistry such as food science, environmental analysis, and materials science.
The Global Quantitative Nuclear magnetitic Resonance (QNMR) Market accounted for $XX Billion in 2023 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2024 to 2030.
A simple and quick quantitative proton nuclear magnetic resonance spectroscopy (QNMR) approach for the identification and analysis of PREG in various types of PREG products was developed and validated to solve knowledge gaps and aid in quality control.
The 1D 1H and 2D 1H-13C HSQC NMR spectra of PREG samples were used to characterize them. The QNMR test technique (which takes around 10 minutes per NMR spectrum) was verified for precision, accuracy, specificity, robustness, and linearity in accordance with ICH Q2(R1) guidelines.
The procedure was verified at concentrations ranging from 0.032 to 3.2 mg/mL. The QNMR analytical approach was used to evaluate seven PREG bulk material samples, three tablet and two capsule PREG nutritional supplements as proof of concept.
All examined samples’ NMR data satisfied the necessary requirements for identification and analytic approach.
