Hyperpolarized 19F-MRI: parahydrogen-induced polarization and field variation enable 19F-MRI at low spin density
Literature Information
Ute Bommerich, Thomas Trantzschel, Samir Mulla-Osman, Gerd Buntkowsky, Joachim Bargon, Johannes Bernarding
The use of parahydrogen-induced polarization (PHIP) for signal enhancement in nuclear magnetic resonance spectroscopy (NMR) is well established. Recently, this method has been adopted to increase the sensitivity of magnetic resonance imaging (MRI). The transfer of non-thermal spin hyperpolarization—from parahydrogen to a heteronucleus—provides better contrast, thus enabling new imaging agents. The unique advantage of 19F-MRI is that it provides non-invasive and background-free active marker signals in biomedical applications, such as monitoring drugs that contain 19F. In former NMR spectroscopic experiments, hyperpolarized 19F nuclei were efficiently generated by using low magnetic field (Earth's field) conditions. In order to apply the method to 19F-hyperpolarized MRI, we chose an exploratory target molecule, for which a successful transfer of PHIP had already been attested. The transfer of hyperpolarization to 19F was further optimized by adequate field manipulations below Earth's magnetic field. This technique, called field cycling, led to a signal enhancement of about 60. For the first time, hyperpolarized 19F-MR images were received. Despite the low spin density of the sample (0.045‰ of the 1H density in H2O), a sufficient signal-to-noise was obtained within a short acquisition time of 3.2 s.
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Physical Chemistry Chemical Physics

Physical Chemistry Chemical Physics (PCCP) is an international journal co-owned by 19 physical chemistry and physics societies from around the world. This journal publishes original, cutting-edge research in physical chemistry, chemical physics and biophysical chemistry. To be suitable for publication in PCCP, articles must include significant innovation and/or insight into physical chemistry; this is the most important criterion that reviewers and Editors will judge against when evaluating submissions. The journal has a broad scope and welcomes contributions spanning experiment, theory, computation and data science. Topical coverage includes spectroscopy, dynamics, kinetics, statistical mechanics, thermodynamics, electrochemistry, catalysis, surface science, quantum mechanics, quantum computing and machine learning. Interdisciplinary research areas such as polymers and soft matter, materials, nanoscience, energy, surfaces/interfaces, and biophysical chemistry are welcomed if they demonstrate significant innovation and/or insight into physical chemistry. Joined experimental/theoretical studies are particularly appreciated when complementary and based on up-to-date approaches.














