cris.boxmetadata.label.title
Superparamagnetic Iron Oxide-Based Nanomaterials for Magnetic Resonance Imaging
cris.boxmetadata.label.dateissued
01 browse.startsWith.months.january 2021
cris.boxmetadata.label.accesslevel
metadata only access
cris.boxmetadata.label.resourcetype
book part
cris.boxmetadata.label.authors
Niraula G.
Mathpal M.C.
Medrano J.J.A.
Singh M.K.
Verma R.
Sharma S.K.
University of Brasilia
cris.boxmetadata.label.publisher
Springer Science and Business Media Deutschland GmbH
cris.boxmetadata.label.abstract
Magnetic resonance imaging (MRI) is the technique for the visualization of targeted macromolecules or cells in biological system. Nowadays, superparamagnetic iron oxide nanoparticles (SPIONs) have been attracted and remarkably emerging as a negative contrast agent (T2-weighted) offering sufficient detection sensitivity as compared to positive contrast agent (T1-weighted). In the present chapter, we first introduce the necessary background of superparamagnetic iron oxide-based nanoparticles and MRI taking into an account to discuss both T1–T2-weighted imaging. The liquid-based synthesis methods of SPIONs and their applicability in MRI have been thoroughly revised. Finally, several nanohybrids such as magnetic-silica, magneto-luminescent, magneto-plasmonic along with ferrite-based SPIONs are thoroughly presented in light of MRI application.
cris.boxmetadata.label.citationstartpage
167
cris.boxmetadata.label.citationendpage
203
cris.boxmetadata.label.language
English
cris.boxmetadata.label.ocdeknowledgeArea
Ingeniería de materiales
cris.boxmetadata.label.subjects
cris.boxmetadata.label.doi
cris.boxmetadata.label.scopusidentifier
2-s2.0-85118545861
cris.boxmetadata.label.source
Topics in Mining, Metallurgy and Materials Engineering
cris.boxmetadata.label.containerissn
23643293
cris.boxmetadata.label.sponsor
Acknowledgements GN and SKS are thankful to Brazilian funding agencies CAPES, CNPq, and FAPEMA; MCM is thankful to CAPES-PNPD fellowship, Brazil for providing the funding to conduct this research (Process No. 23106.067256/2018-51). SKS is also very thankful to PPGF-UFMA for motivation to work on this book project. The author would also like to thank the various publishers to provide copyright permission to reproduce figures in this chapter.
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