nmrrr: A Reproducible Workflow for Binning and Visualizing NMR Spectra From Environmental Samples

1Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Nuclear magnetic resonance (NMR) spectroscopy is a useful tool for detection and identification of molecular structural information, with increasing applications in environmental sciences. NMR instrument outputs are however heterogeneous and require extensive post-processing, creating barriers to their use and application by non-specialists. Here, we report on a new open-source R package, nmrrr, that processes and visualizes spectral data obtained from one-dimensional solution-state and solid-state NMR experiments; the package also performs relevant calculations commonly applied in natural organic matter communities, such as computing the relative abundance of various functional groups. We document the package's installation, dependencies, and functions; and provide a standard workflow for processing NMR data. This package is currently available on CRAN and GitHub, and community contributions are welcome.

Cite

CITATION STYLE

APA

Patel, K. F., Myers-Pigg, A. N., Bond-Lamberty, B., & Barnes, M. E. (2023). nmrrr: A Reproducible Workflow for Binning and Visualizing NMR Spectra From Environmental Samples. Journal of Geophysical Research: Biogeosciences, 128(12). https://doi.org/10.1029/2023JG007768

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free