T1 relaxometry or EPR signal intensity – Which is best for quantifying iron oxide nanoparticles in tissues non-destructively?

Motivation: Currently there is no low-cost method to nondestructively quantify iron oxide nanoparticles (IONPs) in tissue across a wide concentration range (0.05-100 mg Fe/mL). Goal(s): Our lab has developed a low-cost, LOngitudinally Detected Electron Paramagnetic Resonance (LOD-EPR) system. This work aims to evaluate LOD-EPR IONP quantification accuracy. Approach: We compare IONP Fe quantification accuracy of R1 (=1/T1) from MR relaxometry versus LOD-EPR signal in solution and IONP-perfused rat kidney sections used in cryopreservation. Results: LOD-EPR signal vs Fe concentration is linear in 0.05-10 mg Fe/mL IONP solutions and in IONP-perfused tissue, whereas R1 vs Fe concentration is linear in solution but not in tissue. Impact: Accurate quantification of IONPs in tissues at room temperature can be done using low-cost, benchtop LOD-EPR. Our primary application is in IONP rewarming of cryopreserved organs, however other applications such as dosimetry and oxygen sensing should also be possible.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/1042
Primary Topic
Electron Spin Resonance Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

T1 relaxometry or EPR signal intensity – Which is best for quantifying iron oxide nanoparticles in tissues non-destructively?

Xueyan Tang, Jacqueline L. Pasek-Allen, Mikaela Hintz, Michael Garwood et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Electron Spin Resonance Studies
article

T1 relaxometry or EPR signal intensity – Which is best for quantifying iron oxide nanoparticles in tissues non-destructively?

Xueyan Tang, Jacqueline L. Pasek-Allen, Mikaela Hintz, Michael Garwood, Bat‐Erdene Namsrai, John C. Bischof, Saurin Kantesaria, Arjun Goswitz, Steven C. Suddarth
article en

Abstract

Motivation: Currently there is no low-cost method to nondestructively quantify iron oxide nanoparticles (IONPs) in tissue across a wide concentration range (0.05-100 mg Fe/mL). Goal(s): Our lab has developed a low-cost, LOngitudinally Detected Electron Paramagnetic Resonance (LOD-EPR) system. This work aims to evaluate LOD-EPR IONP quantification accuracy. Approach: We compare IONP Fe quantification accuracy of R1 (=1/T1) from MR relaxometry versus LOD-EPR signal in solution and IONP-perfused rat kidney sections used in cryopreservation. Results: LOD-EPR signal vs Fe concentration is linear in 0.05-10 mg Fe/mL IONP solutions and in IONP-perfused tissue, whereas R1 vs Fe concentration is linear in solution but not in tissue. Impact: Accurate quantification of IONPs in tissues at room temperature can be done using low-cost, benchtop LOD-EPR. Our primary application is in IONP rewarming of cryopreserved organs, however other applications such as dosimetry and oxygen sensing should also be possible.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 86%
Electron Spin Resonance Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.