MultiNMRFit: a software to fit 1D and pseudo-2D NMR spectra

Area of Science:

• Biochemistry
• Analytical Chemistry
• Computational Biology

Background:

• Nuclear Magnetic Resonance (NMR) is a key technique for quantitative analysis in metabolic studies.
• Precise extraction of NMR signal parameters is crucial for metabolite structure, concentration, and isotopic composition determination.

Purpose of the Study:

• To introduce MultiNMRFit, an open-source software for efficient and accurate analysis of 1D NMR spectra.
• To provide a flexible and robust tool for high-throughput analysis of NMR data in metabolomics and related fields.

Main Methods:

• MultiNMRFit utilizes spectral fitting with user-defined or built-in models to extract signal parameters (chemical shift, intensity, coupling constants, linewidth).
• The software supports individual and pseudo-2D NMR spectra and is implemented in Python 3.
• It offers both a Python library and a graphical user interface for accessibility.

Main Results:

• MultiNMRFit demonstrates robustness and flexibility in analyzing 1H, 13C, and 31P NMR datasets.
• The software enables high-throughput extraction of essential NMR signal parameters.
• It provides reproducible results for metabolomics and isotope labeling studies.

Conclusions:

• MultiNMRFit is a versatile, open-source tool that enhances the quantitative analysis of NMR spectra.
• Its user-friendly interface and robust performance make it suitable for researchers without extensive computational expertise.
• The software facilitates advanced metabolomic and isotopic labeling studies through efficient data processing.