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Practical Guide and Best Practices for Diffusion NMR Processing With GNAT
Tadeu Luiz Gomes Cabral1, Guilherme Dal Poggetto2, Claudio F Tormena1
1Chemistry Institute, University of Campinas - UNICAMP, Campinas, São Paulo, Brazil.
This guide introduces the General NMR Analysis Toolbox (GNAT) for processing diffusion-NMR data. It provides a standardized workflow to improve the accuracy and reproducibility of diffusion-ordered spectroscopy (DOSY) analysis.
Area of Science:
- Analytical Chemistry
- Biochemistry
- Materials Science
Background:
- Diffusion-NMR, including diffusion-ordered spectroscopy (DOSY), is crucial for characterizing molecular properties in solution.
- Inconsistent data processing hinders reproducibility and comparability in diffusion-NMR studies.
- Lack of standardized protocols limits the widespread adoption of reliable DOSY analysis.
Purpose of the Study:
- To present a clear, step-by-step guide for processing diffusion-NMR data using the General NMR Analysis Toolbox (GNAT).
- To emphasize best practices, quality control, and common pitfalls in DOSY data analysis.
- To promote standardized, reproducible workflows for improved transparency and data comparability.
Main Methods:
- Utilizing the General NMR Analysis Toolbox (GNAT), a free, open-source platform.
- Detailed workflow covering data import, preprocessing, and signal selection.
- Step-by-step diffusion fitting, model selection, and results validation.
Main Results:
- A comprehensive guide for processing diffusion-NMR data with GNAT.
- Emphasis on quality control and identification of common pitfalls.
- Recommendations for reporting diffusion parameters and associated uncertainty.
Conclusions:
- Standardized, reproducible workflows enhance the quality and comparability of diffusion-NMR studies.
- The GNAT platform and this guide aim to improve transparency in DOSY analysis.
- Promoting open-source tools fosters consistency and rigor in scientific research.
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