Citations 3

A Universal Framework for Blood Ionome Extraction and Intelligent Quality Control in 1 H NMR Metabolomics

Analytical Chemistry | April 21, 2026 | Volume: 98 | Issue: 17 | Pages: 12647-12659

10.1021/acs.analchem.5c08255 | PMID 42011950

Toward Absolute Quantification of Soluble Proteins via Proton Nuclear Magnetic Resonance Spectroscopy: Total Protein Concentration in Blood Plasma

Analytical Chemistry | October 4, 2024 | Volume: 96 | Issue: 41 | Pages: 16162-16169

10.1021/acs.analchem.4c02711 | PMID 39365892

NMRpQuant: an automated software for large scale urinary total protein quantification by one-dimensional 1H NMR profiles

Bioinformatics | July 21, 2022 | Volume: 38 | Issue: 18 | Pages: 4437-4439

10.1093/bioinformatics/btac502 | PMID 35861573

AbstractSummary1H nuclear magnetic resonance (NMR) spectroscopy is an established bioanalytical technology for metabolic profiling of biofluids in both clinical and large-scale population screening applications. Recently, urinary protein quantification has been demonstrated using the same 1D 1H NMR experimental data captured for metabolic profiling. Here, we introduce NMRpQuant, a freely available platform that builds on these findings with both novel and further optimized computational NMR approaches for rigorous, automated protein urine quantification. The results are validated by interlaboratory comparisons, demonstrating agreement with clinical/biochemical methodologies, pointing at a ready-to-use tool for routine protein urinalyses.Availability and implementationNMRpQuant was developed on MATLAB programming environment. Source code and Windows/macOS compiled applications are available at https://github.com/pantakis/NMRpQuant, and working examples are available at https://doi.org/10.6084/m9.figshare.18737189.v1.Supplementary informationSupplementary data are available at Bioinformatics online.