scholarly journals Ultrasmall Manganese Ferrites as Multimodal Bioimaging Agents and Fenton/Haber-Weiss Catalysts

Author(s):  
Susana Carregal-Romero ◽  
Ana Beatriz Miguel-Coello ◽  
Lydia Martínez-Parra ◽  
Yilian Fernández-Afonso ◽  
Sandra Plaza ◽  
...  

<p>Ultrasmall<b> </b>manganese ferrite nanoparticles display interesting features in bioimaging and Fenton nanocatalysis. However, little is known about how to optimize these nanoparticles to achieve simultaneously the highest efficiency in both types of applications. Herein, we present a cost-efficient synthetic microwave method that enables manganese ferrite nanoparticles to be produced with excellent control in size, chemical composition and colloidal stability. We show how the reaction’s pH has a substantial impact on the Mn incorporation into the nanoparticles and the level of Mn doping can be finely tailored to a wide range (Mn<sub>x</sub>Fe<sub>3-x</sub>O<sub>4</sub>, 0.1 ≤ x ≤ 2.4). The magnetic relaxivities (1.6 ≤ r<sub>1 </sub>≤ 10.6 mM<sup>-1</sup>s<sup>-1</sup> and (7.5 ≤ r<sub>2 </sub>≤ 29.9 mM<sup>-1</sup>s<sup>-1</sup>) and Fenton/Haber-Weiss catalytic properties measured for the differently doped nanoparticles show a strong dependence on the Mn content and, interestingly, on the synthetic reaction’s pH. Positive contrast in magnetic resonance imaging is favored by low Mn contents, while dual mode magnetic resonance imaging contrast and catalytic activity increases in nanoparticles with a high degree of Mn doping. We show that this is valid in solution, in a murine model and intracellularly respectively. Besides, this synthetic protocol allows core-radiolabeling for high-sensitive molecular imaging while maintaining relaxometric and catalytic properties. All of these results show the robust characteristics of these multifunctional manganese ferrite nanoparticles as theranostic agents.</p>

2020 ◽  
Author(s):  
Susana Carregal-Romero ◽  
Ana Beatriz Miguel-Coello ◽  
Lydia Martínez-Parra ◽  
Yilian Fernández-Afonso ◽  
Sandra Plaza ◽  
...  

<p>Ultrasmall<b> </b>manganese ferrite nanoparticles display interesting features in bioimaging and Fenton nanocatalysis. However, little is known about how to optimize these nanoparticles to achieve simultaneously the highest efficiency in both types of applications. Herein, we present a cost-efficient synthetic microwave method that enables manganese ferrite nanoparticles to be produced with excellent control in size, chemical composition and colloidal stability. We show how the reaction’s pH has a substantial impact on the Mn incorporation into the nanoparticles and the level of Mn doping can be finely tailored to a wide range (Mn<sub>x</sub>Fe<sub>3-x</sub>O<sub>4</sub>, 0.1 ≤ x ≤ 2.4). The magnetic relaxivities (1.6 ≤ r<sub>1 </sub>≤ 10.6 mM<sup>-1</sup>s<sup>-1</sup> and (7.5 ≤ r<sub>2 </sub>≤ 29.9 mM<sup>-1</sup>s<sup>-1</sup>) and Fenton/Haber-Weiss catalytic properties measured for the differently doped nanoparticles show a strong dependence on the Mn content and, interestingly, on the synthetic reaction’s pH. Positive contrast in magnetic resonance imaging is favored by low Mn contents, while dual mode magnetic resonance imaging contrast and catalytic activity increases in nanoparticles with a high degree of Mn doping. We show that this is valid in solution, in a murine model and intracellularly respectively. Besides, this synthetic protocol allows core-radiolabeling for high-sensitive molecular imaging while maintaining relaxometric and catalytic properties. All of these results show the robust characteristics of these multifunctional manganese ferrite nanoparticles as theranostic agents.</p>


2021 ◽  
pp. 2101019
Author(s):  
Sandra Díez‐Villares ◽  
Miguel A. Ramos‐Docampo ◽  
Andrés da Silva‐Candal ◽  
Pablo Hervella ◽  
Abi J. Vázquez‐Ríos ◽  
...  

Biomaterials ◽  
2010 ◽  
Vol 31 (13) ◽  
pp. 3667-3673 ◽  
Author(s):  
Hong Yang ◽  
Cuixia Zhang ◽  
Xiangyang Shi ◽  
He Hu ◽  
Xiaoxia Du ◽  
...  

2021 ◽  
Author(s):  
Yusi Chen ◽  
Qasim Bukhari ◽  
Tiger Wutu Lin ◽  
Terrence J Sejnowski

Recordings from resting state functional magnetic resonance imaging (rs-fMRI) reflect the influence of pathways between brain areas. A wide range of methods have been proposed to measure this functional connectivity (FC), but the lack of ''ground truth'' has made it difficult to systematically validate them. Most measures of FC produce connectivity estimates that are symmetrical between brain areas. Differential covariance (dCov) is an algorithm for analyzing FC with directed graph edges. Applied to synthetic datasets, dCov-FC was more effective than covariance and partial correlation in reducing false positive connections and more accurately matching the underlying structural connectivity. When we applied dCov-FC to resting state fMRI recordings from the human connectome project (HCP) and anesthetized mice, dCov-FC accurately identified strong cortical connections from diffusion Magnetic Resonance Imaging (dMRI) in individual humans and viral tract tracing in mice. In addition, those HCP subjects whose rs-fMRI were more integrated, as assessed by a graph-theoretic measure, tended to have shorter reaction times in several behavioral tests. Thus, dCov-FC was able to identify anatomically verified connectivity that yielded measures of brain integration causally related to behavior.


1998 ◽  
Vol 22 (2) ◽  
pp. 135-165 ◽  
Author(s):  
M. H.G. Amin ◽  
L. D. Hall ◽  
R. J. Chorley ◽  
K. S. Richards

This article draws attention to the potential of magnetic resonance imaging (MRI) for studies of patterns and mechanisms of water infiltration into soils, and stresses the vitally important need for collaboration between hydrologists, soil physicists and MRI experts. A brief introduction of the principles of MRI is given. This is followed by a review of the literature relating to nonpreferential infiltration, preferential infiltration exhibiting fingering and preferential infiltration involving a wide range of macropore flow. These differing degrees of complexity of infiltration dynamics require the employment of noninvasive and nondestructive techniques for their detailed investigation. Finally, an overview of applications of MRI to the detection of the spatial and temporal distribution of soil moisture and its changes is given. General conclusions are drawn from previous and current research, and the potential of the application of MRI to infiltration studies is summarized.


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