NUCLEAR MAGNETIC RESONANCE GROUP

Principal Researcher:

Pablo Ariel Hoijemberg, Ph. D.
T: +54 11 4899-5500 int 6502
E: pablo.hoijemberg@cibion.conicet.gov.ar
 

ACTIVITIESGNA
Application of nuclear magnetic resonance in the field of metabolomics for biomarker identification and early disease detection. Application of nuclear magnetic resonance in the development of methodology for the analysis of complex mixtures. Application of nuclear magnetic resonance in the study of soft materials.

SELECTED PUBLICATIONS - Full list of publications

Andrés Charris-Molina, Gabriel Riquelme, Paula Burdisso, Pablo A. Hoijemberg*
“Consecutive Queries to Assess Biological Correlation in NMR Metabolomics: Performance of Comprehensive Search of Multiplets over Typical 1D 1H NMR Database Search”
Journal of Proteome Research  (2020)

Andrés Charris-Molina, Gabriel Riquelme, Paula Burdisso, Pablo A. Hoijemberg*
“Tackling the Peak Overlap Issue in NMR Metabolomics Studies: 1D Projected Correlation Traces from Statistical Correlation Analysis on Nontilted 2D 1H NMR J-Resolved Spectra”
Journal of Proteome Research 18, 5 (2019) 2241-2253

“Fast Metabolite Identification in Nuclear Magnetic Resonance Metabolomic Studies: Statistical Peak Sorting and Peak Overlap Detection for More Reliable Database Queries”
P.A. Hoijemberg,* I. Pelczer. Journal of Proteome Research 17 (1) (2018) 392-401

“Differentiation of Dry Animal Feeds Using 1D NMR, Multivariate Data Analysis and Statistical Total Correlation Spectroscopy from Successive Solvent Extractions”
P.A. Hoijemberg,* S.L. Ralston. Current Metabolomics 2(4) (2014) 272-280.

“NMR-Metabolomics Study on Falcons Affected by Aspergillosis”
L. Pappalardo,* P.A. Hoijemberg, I. Pelczer, T.A. Bailey. Current Metabolomics 2 (2) (2014) 155-161

COLABORATORS
M. Eugenia Monge, CIBION-CONICET
Paula Burdisso, IBR-CONICET (Rosario)
István Pelczer, Princeton University (Princeton, NJ, EUA).
Guillermo Moyna, Universidad de la República (Paysandú, Uruguay)

METHODS
- Nuclear Magnetic Resonance
- Multivariate Data Analysis