Abstract:Particle and domain sizes strongly
influence the properties of
materials. Here we present an NMR approach based on paramagnetic relaxation
enhancement (PRE) relayed by spin diffusion (SD), which allows us
to determine lengths in the nm−μm range. We demonstrate
the method on multicomponent organic polymer mixtures by selectively
doping one component with a paramagnetic center in order to measure
the domain size in a second component. Using this approach we determine
domain sizes in ethyl cellulose/hydroxypropyl… Show more
“…Therefore, with the analysis of the DNP enhancements and signal buildup times, it was possible to measure the size of the EC domains (Figure ). Simulation of the variation in the relayed DNP enhancements with polarization time indicated that the length of the EC domains was 0.2 μm, in good agreement with measurements of the EC domain size made using paramagnetic relaxation enhancement …”
Section: Applications Of Dnp‐enhanced Solid‐state Nmr Spectroscopy Tosupporting
confidence: 74%
“…Models of 1 H spin diffusion have been widely applied in solid‐state NMR spectroscopy to understand diverse phenomena such as enhanced longitudinal relaxation and mixing and segregation of solid phases and to estimate the sizes of domains or particles . Numerical and analytical models of 1 H spin diffusion can be used to obtain a fundamental understanding of the factors that determine the magnitude of the DNP enhancements in relayed DNP experiments .…”
Section: Modeling 1h Spin Diffusion In Relayed Dnp Experimentsmentioning
confidence: 99%
“…Relaxation and spin diffusion solid‐state NMR experiments have been broadly applied to probe the macroscopic structure and ordering or mixing within solid materials such as polymers . In the context of pharmaceutical formulations, analysis of T 1 relaxation time constants, rotating‐frame longitudinal relaxation times ( T 1ρ ), and spin diffusion rates are commonly used to assess the degree of mixing between excipients, polymers, coformers, and APIs .…”
Section: Applications Of Dnp‐enhanced Solid‐state Nmr Spectroscopy Tomentioning
Solid-state NMR spectroscopy has become a valuable tool for the characterization of both pure and formulated active pharmaceutical ingredients (APIs). However, NMR generally suffers from poor sensitivity that often restricts NMR experiments to nuclei with favorable properties, concentrated samples, and acquisition of one-dimensional (1D) NMR spectra. Here, we review how dynamic nuclear polarization (DNP) can be applied to routinely enhance the sensitivity of solid-state NMR experiments by one to two orders of magnitude for both pure and formulated APIs. Sample preparation protocols for relayed DNP experiments and experiments on directly doped APIs are detailed. Numerical spin diffusion models illustrate the dependence of relayed DNP enhancements on the relaxation properties and particle size of the solids and can be used for particle size determination when the other factors are known. We then describe the advanced solid-state NMR experiments that have been enabled by DNP and how they provide unique insight into the molecular and macroscopic structure of APIs. For example, with large sensitivity gains provided by DNP, natural isotopic abundance, C- C double-quantum single-quantum homonuclear correlation NMR spectra of pure APIs can be routinely acquired. DNP also enables solid-state NMR experiments with unreceptive quadrupolar nuclei such as H, N, and Cl that are commonly found in APIs. Applications of DNP-enhanced solid-state NMR spectroscopy for the molecular level characterization of low API load formulations such as commercial tablets and amorphous solid dispersions are described. Future perspectives for DNP-enhanced solid-state NMR experiments on APIs are briefly discussed.
“…Therefore, with the analysis of the DNP enhancements and signal buildup times, it was possible to measure the size of the EC domains (Figure ). Simulation of the variation in the relayed DNP enhancements with polarization time indicated that the length of the EC domains was 0.2 μm, in good agreement with measurements of the EC domain size made using paramagnetic relaxation enhancement …”
Section: Applications Of Dnp‐enhanced Solid‐state Nmr Spectroscopy Tosupporting
confidence: 74%
“…Models of 1 H spin diffusion have been widely applied in solid‐state NMR spectroscopy to understand diverse phenomena such as enhanced longitudinal relaxation and mixing and segregation of solid phases and to estimate the sizes of domains or particles . Numerical and analytical models of 1 H spin diffusion can be used to obtain a fundamental understanding of the factors that determine the magnitude of the DNP enhancements in relayed DNP experiments .…”
Section: Modeling 1h Spin Diffusion In Relayed Dnp Experimentsmentioning
confidence: 99%
“…Relaxation and spin diffusion solid‐state NMR experiments have been broadly applied to probe the macroscopic structure and ordering or mixing within solid materials such as polymers . In the context of pharmaceutical formulations, analysis of T 1 relaxation time constants, rotating‐frame longitudinal relaxation times ( T 1ρ ), and spin diffusion rates are commonly used to assess the degree of mixing between excipients, polymers, coformers, and APIs .…”
Section: Applications Of Dnp‐enhanced Solid‐state Nmr Spectroscopy Tomentioning
Solid-state NMR spectroscopy has become a valuable tool for the characterization of both pure and formulated active pharmaceutical ingredients (APIs). However, NMR generally suffers from poor sensitivity that often restricts NMR experiments to nuclei with favorable properties, concentrated samples, and acquisition of one-dimensional (1D) NMR spectra. Here, we review how dynamic nuclear polarization (DNP) can be applied to routinely enhance the sensitivity of solid-state NMR experiments by one to two orders of magnitude for both pure and formulated APIs. Sample preparation protocols for relayed DNP experiments and experiments on directly doped APIs are detailed. Numerical spin diffusion models illustrate the dependence of relayed DNP enhancements on the relaxation properties and particle size of the solids and can be used for particle size determination when the other factors are known. We then describe the advanced solid-state NMR experiments that have been enabled by DNP and how they provide unique insight into the molecular and macroscopic structure of APIs. For example, with large sensitivity gains provided by DNP, natural isotopic abundance, C- C double-quantum single-quantum homonuclear correlation NMR spectra of pure APIs can be routinely acquired. DNP also enables solid-state NMR experiments with unreceptive quadrupolar nuclei such as H, N, and Cl that are commonly found in APIs. Applications of DNP-enhanced solid-state NMR spectroscopy for the molecular level characterization of low API load formulations such as commercial tablets and amorphous solid dispersions are described. Future perspectives for DNP-enhanced solid-state NMR experiments on APIs are briefly discussed.
“…16−19 It has also been shown that the selection process can be replaced by selective doping of one of the domains of the diamagnetic system with paramagnetic species and using paramagnetic relaxation enhancement to estimate the domain sizes. 20 In these approaches, the initial out-of-equilibrium state is achieved by selective doping followed by either comparison with spin diffusion dynamics in an undoped sample or comparison to a state in which the doped region is hyperpolarized. The curves obtained through comparison of the two initial states for different recovery times in saturationrecovery experiments can then be interpreted using numerical solutions of the diffusion equations.…”
We are grateful to Matthew Conley and Christophe Coperet from ETH Zurich for providing the mesoporous silica materials. We are grateful to Prof. P. Tordo, Dr. O. Ouari, and Dr. G. Casano (Aix-Marseille Universite, France) for providing the biradicals used in the DNP NMR experiments.International audienceWe show how dynamic nuclear polarization (DNP) NMR can be used in combination with models for polarization dynamics to determine the domain sizes in complex materials. By selectively doping a source component with radicals and leaving the target undoped, we Can measure experimental polarization buildup curves which can be compared with simulations based on heterogeneous distributions of polarization-within the sample. The variation of the integrated DNP enhancement as a function of the polarization time is found to be characteristic of the geometry. We demonstrate the method experimentally on four different systems where we successfully determine domain sizes between 200 and 20 000 nm, specifically in powdered histidine hydrochloride monohydrate) pore lengths of mesoporous silica materials, and two domain sizes in two component polymer film coatings. Additionally, we find that even in the apparently homogeneous frozen solutions used as polarization sources in most DNP experiments, polarization is relayed from protons near the radicals to the bulk of the solution by spin diffusion, which explains the experimentally observed buildup times in these samples
“…The exponential scaling of spin dynamics simulations drastically limits the size of the spin systems that can be studied; as a result, researchers have developed innovative approximate solutions to the many-body dynamics involved in large groups of spins. Notable examples include the concept of spin temperature, 25 the modeling of spin diffusion using classical diffusion equations [26][27][28][29][30] or as a multistep rate process, [31][32][33][34] and the simulation of DNP in large spin systems using a kinetic Monte Carlo algorithm. [35][36][37] Recent efforts have been increasingly directed at reducing the size of the density matrix by removing unimportant, or unpopulated, states from the basis set such that fully ab initio spin dynamics simulations can be performed in spin systems containing hundreds of spin-1/2 nuclei.…”
We investigated the utility of locally restricting the basis sets involved in low-order correlations in Liouville space (LCL) calculations of spin diffusion. Using well-known classical models of spin diffusion, we describe a rationale for selecting the optimal basis set for such calculations. We then show that the use of these locally restricted basis sets provides the same computational accuracy as the full LCL set while reducing the computational time by several orders of magnitude. Speeding up the calculations also enables us to use higher maximum spin orders and increase the computational accuracy. Furthermore, unlike exact and full LCL calculations, locally restricted LCL calculations scale linearly with the system size and should thus enable the ab initio study of spin diffusion in spin systems containing several thousand spins.
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