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Updated: May 23, 2025
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A Collaborative Study on Platform 1H Quantitative NMR Method Using Internal Calibration Methodology: Towards Capacity
Baoning Su1, Jing Zhang1, Xiaojuan Deng2
1WuXi AppTec, Shanghai, China.
Magnetic Resonance in Chemistry : MRC
|May 22, 2025
Summary
A new quantitative nuclear magnetic resonance (qNMR) platform method standardizes parameters for broader accessibility in the pharmaceutical industry. This universal approach simplifies workflows, enabling novice researchers to achieve reliable results.
Area of Science:
- Analytical Chemistry
- Spectroscopy
- Pharmaceutical Analysis
Background:
- Quantitative nuclear magnetic resonance (qNMR) is increasingly vital in the pharmaceutical industry.
- Widespread adoption is hindered by the specialized expertise required for best practices.
- A standardized, universal qNMR platform method is needed for broader accessibility.
Purpose of the Study:
- To propose and validate a universal qNMR platform method adaptable across multiple pharmaceutical products.
- To standardize a core set of qNMR parameters for common quantitative applications.
- To enhance accessibility for researchers new to qNMR and streamline workflows.
Main Methods:
- Systematic evaluation of key qNMR parameters influencing accuracy and precision.
- Testing included signal-to-noise ratio, data processing, integration, relaxation delays, T1 times, and sample weight.
- Collaborative assessment across 12 NMR instruments in eight laboratories.
Main Results:
- Demonstrated the strategic framework and applicability of the proposed qNMR platform method.
- Assessed the method's design space through rigorous testing.
- Confirmed the potential for novices to generate reliable, high-quality qNMR data.
Conclusions:
- The proposed qNMR platform method offers a standardized, accessible approach for pharmaceutical analysis.
- This universal method streamlines workflows, improving efficiency and data reliability.
- Encourages global qNMR community engagement for continued validation and robustness assessment.
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