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A simple and highly sensitive method for magnetic nanoparticle quantitation using 1H-NMR spectroscopy.

ABSTRACT: Iron oxide superparamagnetic nanoparticles (SPIONs) have drawn significant attention because of their potential impact on medical diagnosis and therapy. However, the difficulty of achieving reliable and standardized quantification of these nanoparticles has limited the uniform study of nanoparticle systems. Current measurement techniques have limited sensitivity, and are sophisticated and subject to individual instrumental settings. Here, a characterization method using proton nuclear magnetic resonance ((1)H-NMR) spectroscopy is presented that can quantify SPIONs regardless of surface modification. In addition to routine quantification of SPIONs during nanoparticle development, the method can also be used with in vitro nanoparticle assays and potentially with tissue samples for biodistribution studies. Specifically, measurement of water relaxivity shifts (R(1) or R(2)) of dissolved SPION samples is correlated with nanoparticle concentration. Unmodified and dextran- and poly(ethylene glycol)-coated SPIONs gave linear correlations between SPION concentration and R(1) and R(2) relaxivities over five orders of magnitude, to below 10 ppb iron. Quantification of SPION concentration was also demonstrated in the presence of RAW 264.7 macrophage cells. A linear correlation between the SPION concentration and relaxivities was observed to <10 ng Fe/mL. This method is a rapid and inexpensive approach for quantitation of SPIONs and exhibits a number of advantages over many of the current methods for quantitative SPION analysis.

SUBMITTER: Gunn J

PROVIDER: S-EPMC2770602 | biostudies-other | 2009 Nov

REPOSITORIES: biostudies-other

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A simple and highly sensitive method for magnetic nanoparticle quantitation using 1H-NMR spectroscopy.

Gunn Jonathan J Paranji Rajan K RK Zhang Miqin M

Biophysical journal 20091101 9

Iron oxide superparamagnetic nanoparticles (SPIONs) have drawn significant attention because of their potential impact on medical diagnosis and therapy. However, the difficulty of achieving reliable and standardized quantification of these nanoparticles has limited the uniform study of nanoparticle systems. Current measurement techniques have limited sensitivity, and are sophisticated and subject to individual instrumental settings. Here, a characterization method using proton nuclear magnetic r ...[more]

PMID: 19883608

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Project description:A current challenge in metabolomics is the reliable quantitation of many metabolites. Limited resolution and sensitivity combined with the challenges associated with unknown metabolite identification have restricted both the number and the quantitative accuracy of blood metabolites. Focused on alleviating this bottleneck in NMR-based metabolomics, investigations of pooled human serum combining an array of 1D/2D NMR experiments at 800 MHz, database searches, and spiking with authentic compounds enabled the identification of 67 blood metabolites. Many of these (?1/3) are new compared with those reported previously as a part of the Human Serum Metabolome Database. In addition, considering both the high reproducibility and quantitative nature of NMR as well as the sensitivity of NMR chemical shifts to altered sample conditions, experimental protocols and comprehensive peak annotations are provided here as a guide for identification and quantitation of the new pool of blood metabolites for routine applications. Further, investigations focused on the evaluation of quantitation using organic solvents revealed a surprisingly poor performance for protein precipitation using acetonitrile. One-third of the detected metabolites were attenuated by 10-67% compared with methanol precipitation at the same solvent-to-serum ratio of 2:1 (v/v). Nearly 2/3 of the metabolites were further attenuated by up to 65% upon increasing the acetonitrile-to-serum ratio to 4:1 (v/v). These results, combined with the newly established identity for many unknown metabolites in the NMR spectrum, offer new avenues for human serum/plasma-based metabolomics. Further, the ability to quantitatively evaluate nearly 70 blood metabolites that represent numerous classes, including amino acids, organic acids, carbohydrates, and heterocyclic compounds, using a simple and highly reproducible analytical method such as NMR may potentially guide the evaluation of samples for analysis using mass spectrometry.

Dataset Information

A simple and highly sensitive method for magnetic nanoparticle quantitation using 1H-NMR spectroscopy.

Publications

A simple and highly sensitive method for magnetic nanoparticle quantitation using 1H-NMR spectroscopy.

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