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Updated: Jan 18, 2026

Dried Blood Spots - Preparing and Processing for Use in Immunoassays and in Molecular Techniques
Published on: March 13, 2015
Exploring nuclear magnetic resonance spectroscopy for the analysis of dried blood spots
Cristina Alexandrescu1, Sander Johannes Thorbjørnsen Guttorm2, Katja Benedikte Prestø Elgstøen3
1Department of Chemistry, Faculty of Mathematics and Natural Sciences, University of Oslo, 0371, Oslo, Norway; Dual Core Facility for NMR Spectroscopy (Life Sciences and Mathematics, Natural Sciences and Technology) - UiO NMR Center, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo Norway; National Infrastructure - NNP - Norwegian NMR platform - UiO NMR Center, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.
Abstract:
Dried blood spots (DBS) offer a practical and relatively non-invasive method for sample collection. Here, we evaluate the feasibility of applying 1H NMR spectroscopy to metabolomic analysis of DBS. Various solvent suppression techniques and extraction protocols were tested using aqueous and methanolic solvents. Methanol was found to provide heightened metabolite recovery with fewer interfering macromolecular signals compared to aqueous buffers, supporting its use as a preferred extraction solvent. Additional experimental variables, such as extraction time and the number of DBS punches, were optimized to improve spectral quality. Potentially interfering contaminations from sampling materials and consumables were identified. As a demonstration of practical application, DBS cards were distributed and returned via international and local transport, and their metabolic profiles were assessed. Despite some variation among transported samples, individual-specific metabolic signatures remained discernible, suggesting a robustness of the method for comparative analyses. Overall, these initial results support the use of NMR as a complementary technique to mass spectrometry for DBS-based metabolomics, particularly when simplicity, reproducibility, and robustness is prioritized, and when overall sensitivity is less of a factor.
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