Dynamic nuclear polarization (DNP) significantly enhances the sensitivity of nuclear magnetic resonance (NMR), increasing its applications and the quality of NMR spectroscopy as a characterization tool for materials. Efficient spin diffusion among the nuclear spins is considered to be essential for spreading the hyperpolarization throughout the sample, enabling large DNP enhancements. This scenario mostly limits the polarization enhancement of low-sensitivity nuclei in inorganic materials to the surface sites when the polarization source is an exogenous radical. In metal-ion-based DNP, the polarization agents are distributed in the bulk sample and act as a source of both relaxation and polarization enhancement. We have found that as long as the polarization agent is the main source of relaxation, the enhancement does not depend on the distance between the nucleus and dopant. As a consequence, the requirement of efficient spin diffusion is lifted, and the entire sample can be directly polarized. We exploit this finding to measure high-quality NMR spectra of 17O in the electrode material Li4Ti5O12 doped with Fe(III) despite its low abundance and long relaxation time.
Dynamic nuclear polarization (DNP) significantly enhances the sensitivity of nuclear magnetic resonance (NMR), increasing its applications and the quality of NMR spectroscopy as a characterization tool for materials. Efficient spin diffusion among the nuclear spins is considered to be essential for spreading the hyperpolarization throughout the sample, enabling large DNP enhancements. This scenario mostly limits the polarization enhancement of low-sensitivity nuclei in inorganic materials to the surface sites when the polarization source is an exogenous radical. In metal-ion-based DNP, the polarization agents are distributed in the bulk sample and act as a source of both relaxation and polarization enhancement. We have found that as long as the polarization agent is the main source of relaxation, the enhancement does not depend on the distance between the nucleus and dopant. As a consequence, the requirement of efficient spin diffusion is lifted, and the entire sample can be directly polarized. We exploit this finding to measure high-quality NMR spectra of 17O in the electrode material Li4Ti5O12 doped with Fe(III) despite its low abundance and long relaxation time.
The development
of inorganic
materials with new functionalities or improved properties requires
deep understanding of the relevant physicochemical properties. Solid-state
nuclear magnetic resonance (NMR) spectroscopy is likely the most powerful
method for characterizing the local structure of materials.[1,2] Parameters accessible from NMR experiments are extremely sensitive
to the local environment of the observed nuclei but also have the
potential to ascertain long-range structural properties and investigate
dynamic processes.[3,4] A particularly useful property
of NMR is that it is isotope-selective, enabling the study of materials
through many different structural “spies”,[5] broadening the perspective of analysis.The application of NMR on many relevant elements, however, is limited
by the NMR sensitivity of their isotopes, often reducing its accessibility.
The advancement of magic-angle spinning–dynamic nuclear polarization
(MAS-DNP)[6] has significantly improved the
sensitivity in many areas of NMR applications,[7−9] yet measuring
nuclei with low gyromagnetic ratios or low natural abundance, such
as 17O, the only NMR-active isotope of oxygen with an abundance
of 0.038%, can still present major challenges. Therefore, despite
oxygen being ubiquitous in materials science and having NMR parameters
very sensitive to the local chemical environment, NMR measurements
mostly rely on isotopically enriched samples. Consequently, only a
few natural abundance 17O MAS NMR spectra in inorganic
materials have been reported, which were achieved by utilizing long
experimental times,[10] exploiting the proximity
to protons for cross-polarization without[10] or with DNP,[11−15] or focusing on the surface sites via exogenous DNP.[16,17] Only recently have 17O NMR spectra been acquired for
proton-free bulk materials in short experimental times, either using
metal-ion-based (MI)DNP[18] or, without DNP,
by exploiting long transverse relaxation times with the soft CPMG
(Carr–Purcell–Meiboom–Gill) approach.[19]The difficulty in accessing 17O with DNP is due to the
lack of spin diffusion. Although remarkably deep spin diffusion has
been reported even for low-sensitivity nuclei,[20,21] the largest enhancements in such nuclei via exogenous DNP are mainly
obtained through direct polarization to the particle surface and sites
close to the surface.[22,23] Various approaches have been
proposed to introduce unpaired electrons to the bulk of the sample
for use as endogenous hyperpolarization agents.[24−26] In particular,
introducing small amounts of metal ions[27] as polarization agents in the MIDNP[28] approach has proven efficient for obtaining signal enhancements
in the bulk of inorganic materials.[18,29] Still, it
has been assumed that also in these approaches, efficient polarization
buildup requires spin-diffusion to spread the hyperpolarization over
the sample volume.Here we show large polarization enhancements
in the absence of
spin-diffusion. We have found that long nuclear relaxation times,
usually one of the critical obstacles to high NMR sensitivity, can
be exploited to enable large hyperpolarization throughout the entire
bulk of the sample via direct polarization transfer MIDNP. Not requiring
efficient spin diffusion mechanisms will mostly benefit nuclear spins
with limited sensitivity due to low gyromagnetic ratios or low isotope
abundance. We examine this concept by measuring 17O MAS
DNP NMR spectra in a series of Fe(III)-doped Li4Ti5O12 (FeLTO) powders prepared via solid-state synthesis,
as described in ref (29), with a varying Fe(III) mole fraction per LTO unit of x = 0.00125, 0.0025, 0.005, 0.01, and 0.02 (hereon labeled Fe00125-02LTO).
These mole fractions are equivalent to a paramagnetic agent molarity
ranging from 9.5 to 152 mM. Introducing small quantities of Fe(III)
into the LTO structure has proven to be beneficial for its electrochemical
properties as an anode material in lithium-ion batteries.[29] Because of its paramagnetic nature, it will
serve as a relaxation and polarization agent to the nuclear spins.The MAS DNP field sweep profile for 17O in Fe01LTO is
shown in Figure a,
together with the field sweeps obtained for 6Li and 7Li (in Fe005LTO). The profile is characteristic of the solid
effect, with the maximum and minimum separated by twice the nuclear
Larmor frequency. A detailed analysis relating the DNP response to
the electron paramagnetic resonance (EPR) spectrum in this system
is given in a recent publication by our group.[29] Overlap of the 6Li and 17O profiles
is a consequence of their similar Larmor frequencies. The possibility
of heteronuclear cross-relaxation from 7Li was ruled out
by the clear distinction of sweep profiles and was further confirmed
by the detection of identical 17O spectra with and without
saturation of the 7Li spins during polarization buildup.
Figure 1
(a) DNP
sweep profiles for 7Li, 6Li, and 17O in Fe005LTO (6,7Li) and Fe01LTO (17O). (b)
Natural abundance 17O NMR spectra of Fe02LTO with
and without μW irradiation. A recycle delay of 4.8 s was used,
and a total of 1024 and 19 616 scans were acquired with and
without μW irradiation, respectively. The total acquisition
time was 1.37 and 26.15 h, respectively. Spectra were obtained with
a Hahn echo sequence and an echo delay of 0.1 ms at 10 kHz MAS. The
intensity of the spectra was scaled by the number of scans.
(a) DNP
sweep profiles for 7Li, 6Li, and 17O in Fe005LTO (6,7Li) and Fe01LTO (17O). (b)
Natural abundance 17O NMR spectra of Fe02LTO with
and without μW irradiation. A recycle delay of 4.8 s was used,
and a total of 1024 and 19 616 scans were acquired with and
without μW irradiation, respectively. The total acquisition
time was 1.37 and 26.15 h, respectively. Spectra were obtained with
a Hahn echo sequence and an echo delay of 0.1 ms at 10 kHz MAS. The
intensity of the spectra was scaled by the number of scans.Because of the extremely low sensitivity of 17O, it
was only possible to obtain an NMR spectrum without microwave (μW)
irradiation at the highest iron content, where the strongly reduced
relaxation time allows the acquisition of a large number of scans. Figure b shows the 17O spectra of Fe02LTO with and without μW irradiation,
where a signal enhancement of εON/OFF = 66 was obtained.Figure a shows
the 17O MIDNP MAS NMR spectra obtained with varying Fe(III)
content. The addition of Fe(III) does not have any major effect on
the shape of the spectrum other than a small increment of the broad
component at the highest concentration. (See Figure S1.) We note the presence of two new features in the 17O spectrum that had not been previously observed,[18] a very broad peak, spreading over thousands of ppm, and
a narrow peak between both main peaks at 441 ppm, which likely arises
from a minor oxygen environment in LTO.[18] The broad component has a very short free induction decay (FID);
therefore, to be observed, it requires a Hahn echo.
Figure 2
(a) Natural abundance 17O DNP NMR spectra of iron-doped
LTO. Spectra were obtained with 16 scans in all samples but Fe02LTO,
which was obtained with 128 scans. (The spectrum in the figure was
scaled accordingly.) All spectra were obtained with a Hahn echo sequence
and an echo delay of 0.1 ms. (b) 17O DNP buildup curves
from integrated NMR intensities from the Hahn echo saturation recovery
experiment. The inset shows the same data on a logarithmic x scale. Solid curves are best fits obtained with a stretched
exponential recovery, and the fit parameters are given in Table . (c) Left axis: 17O enhancement εON/OFF,
estimated taking into consideration the different quenching factors
in each sample from the 6Li data given in Table S3. Right axis: Buildup time of 95% of the 17O polarization obtained from fits of saturation recovery measurements.
The dashed line is the expected T95% time
from purely paramagnetic relaxation predicted from the 6Li behavior. (See the Supporting Information (SI).)
(a) Natural abundance 17O DNP NMR spectra of iron-doped
LTO. Spectra were obtained with 16 scans in all samples but Fe02LTO,
which was obtained with 128 scans. (The spectrum in the figure was
scaled accordingly.) All spectra were obtained with a Hahn echo sequence
and an echo delay of 0.1 ms. (b) 17O DNP buildup curves
from integrated NMR intensities from the Hahn echo saturation recovery
experiment. The inset shows the same data on a logarithmic x scale. Solid curves are best fits obtained with a stretched
exponential recovery, and the fit parameters are given in Table . (c) Left axis: 17O enhancement εON/OFF,
estimated taking into consideration the different quenching factors
in each sample from the 6Li data given in Table S3. Right axis: Buildup time of 95% of the 17O polarization obtained from fits of saturation recovery measurements.
The dashed line is the expected T95% time
from purely paramagnetic relaxation predicted from the 6Li behavior. (See the Supporting Information (SI).)
Table 1
17O DNP Buildup Times and
Enhancement Factors of Doped LTO for Varying Mole Fractions of Fe(III)
Obtained from the Hahn Echo Saturation Recovery Experiment at 100
K, According to Equation a
xFe(III)
TBU (s)
β
T95% (s)
[S/N]/scan
εON/02OFF
εON/OFF
0.02
8.9 ± 0.8
0.72 ± 0.05
41 ± 6
4.5
66 ± 10
66 ± 10
0.01
86 ± 12
0.74 ± 0.08
377 ± 80
22.6
331 ± 50
256 ± 40
0.005
167 ± 16
0.70 ± 0.04
804 ± 110
28.6
377 ± 60
282 ± 40
0.0025
1011 ± 270
0.69 ± 0.06
4954 ± 1500
35.2
474 ± 70
260 ± 40
0.00125
1394 ± 290
0.71 ± 0.06
6589 ± 1600
26.5
334 ± 50
195 ± 30
T95% was calculated
from TBU and β
and represents the buildup time for 95% of the polarization. Uncertainties
are given as one standard deviation. The enhancement εON/02OFF represents the gain in total 17O signal
intensity per scan compared with Fe02LTO without μW irradiation,
accounting for relaxation time to ensure the steady-state as the initial
condition and sample mass. The enhancement εON/OFF was estimated taking into consideration the different
quenching factors in each sample from the 6Li data given
in Table S3. The [S/N]/scan was obtained
assuming steady-state polarization and an equal amount of 40 mg of
sample.
The polarization buildup times, TBU, obtained from fitting the saturation recovery
data with a stretched
exponential equation (see the Methods section),
are given in Table and Figure b and show a strong dependence on the Fe(III) content.
This is a clear indication that hyperpolarization reaches beyond nuclei
in immediate or close proximity to the paramagnetic center, often
referred to as core nuclei.[7] No differential
relaxation time was observed for different frequencies in the spectrum.
(See Figure S1.) This result suggests that
the spinning sidebands are not due to sites with large hyperfine couplings
(which would have shorter longitudinal relaxation times), in agreement
with our previous assignment of the sideband manifold to the quadrupolar
satellite transitions.[18] Most surprisingly,
the broad component also did not present differential TBU times, as one would expect if the signal was broadened
due to the proximity to a paramagnetic center. We therefore believe
it is inhomogeneous in nature and arises from a distribution of quadrupolar
coupling constants due to either defect sites or small local distortions.T95% was calculated
from TBU and β
and represents the buildup time for 95% of the polarization. Uncertainties
are given as one standard deviation. The enhancement εON/02OFF represents the gain in total 17O signal
intensity per scan compared with Fe02LTO without μW irradiation,
accounting for relaxation time to ensure the steady-state as the initial
condition and sample mass. The enhancement εON/OFF was estimated taking into consideration the different
quenching factors in each sample from the 6Li data given
in Table S3. The [S/N]/scan was obtained
assuming steady-state polarization and an equal amount of 40 mg of
sample.It should be mentioned
that equally good fits of the magnetization
buildup curves can be obtained using two exponential functions instead
of one stretched exponential function. Conceptually, two exponentials
could be related to two distinct regimes, core nuclei, on one hand,
and, on the other hand, bulk nuclei connected via spin diffusion.
Whereas stretched exponentials arise from a continuous distribution
of distances to the paramagnetic agent in the absence of spin diffusion.To rule out the possibility of two clearly distinct regimes, a
careful analysis of the line-shape evolution in the 6Li
spectra was performed. In such scenario, one would expect with increasing
concentration a change in the relative ratio of core and bulk nuclei
and a nearly constant T1 value for the
core nuclei. The fitting of 6Li T1 and TBU with two exponentials
does not reflect this trend. Furthermore, the vicinity to Fe(III)
centers causes an observable broadening of the 6Li signal.
The spectra obtained within a saturation recovery experiment do not,
however, show two distinguishable line shapes growing at different
rates; instead, the line-shape evolution reflects a distribution of
Lorentzian lines, with an increasing weight of narrow lines with longer
relaxation delays. (See the SI for more
information on the 6Li measurements.)Spin diffusion
ensures that equilibrium within the nuclear spin
bath is reached faster than that between individual spins and the
lattice; therefore, relaxation of the magnetization occurs homogeneously
throughout the entire spin system and can be described in terms of
a single exponential process exp(−t/T1).[30,31] In the absence of spin
diffusion between the nuclei of interest due to MAS, large inhomogeneous
broadening,[32] weak homonuclear couplings,
or low isotopic abundance, relaxation in a rigid lattice is dominated
by direct through-space dipolar coupling with the paramagnetic dopants.
For a dilute distribution of paramagnetic centers, the magnetization
reaches equilibrium following a stretched exponential behavior exp(−(t/T1)), with the stretched,
or Kohlrausch, exponent β approaching 0.5.[33] All relaxation and buildup data measured in this study
showed a stretched factor of ∼0.7. The influence of the concentration, c, of paramagnetic sites on the relaxation is a further
indicator of the relevance of spin diffusion to relaxation. Whereas
in the presence of spin diffusion, the longitudinal relaxation time, T1, has been shown to be linearly dependent on
the inverse of the concentration of paramagnetic centers,[34,35] in its absence, T1 depends on the dimensionality, D, of the sample as[32,36]T1 ∝ c–6/. Thus for a 3D solid, relaxation is expected to have an inverse
squared dependence on the concentration. Analysis of the 6Li relaxation and buildup data showed T1 ∝ c–2.2±0.3 (Figure S3). This further confirms that in this
system and under these conditions, even for the less inhomogeneously
broadened and much more abundant 6Li isotope (7% abundance),
spin diffusion does not play a relevant role in the magnetization
buildup.The relaxation stretch factor and concentration dependence
are
closely related,[37] and deviation from the
expected values offers the potential to monitor the homogeneity and
fractal dimension of the paramagnetic site distribution.[36,38] However, this is beyond the scope of the work presented here.To obtain the DNP enhancement, εON/OFF, one would be required to measure the NMR spectrum
without μW irradiation. As previously mentioned, obtaining a
spectrum without DNP was only possible for the highest doped sample,
Fe02LTO. By comparing the DNP signal intensity for each concentration
to the Fe02LTO spectrum measured without μW irradiation, we
obtain the εON/02OFF values. This
comparison, however, does not consider the possibility of signal quenching
due to the dopants. It was possible to quantify the quenching for
the 6Li NMR spectra. (See the SI.) Because of the similar gyromagnetic ratio, we expect similar quench
values for 17O and 6Li.[39] The εON/OFF values were obtained
by normalizing the intensity by the quench factor and are given in Table . The large uncertainties
in the enhancement factors are mainly due to the lower quality of
the spectrum without DNP. It is important to note, however, that the
relative comparison has a much higher accuracy.The DNP enhancement εON/OFF reaches
a maximum value at a Fe(III) mole fraction of 0.005 and is nearly
invariant around its maximum (Figure c). This plateau is reached once most 17O nuclei are mainly relaxed by the paramagnetic center, allowing
hyperpolarization throughout the sample. The presence of a plateau
is a strong evidence that the DNP process encompasses the entire sample.
An increment of dopant concentration between 0.0025 and 0.01 merely
reduces the average distance between nuclei and unpaired electrons,
shortening the buildup times. A further increment in concentration
will ultimately shorten the electronic relaxation times, as we previously
reported for this system,[29] dampening the
polarization efficiency, vide infra. In Fe00125LTO, the quadrupolar
relaxation mechanism has a significant contribution. (See the deviation
from the dashed line in Figure .) Consequently, nuclei remote from the paramagnetic center
will not have sufficient polarization lifetime for a large hyperpolarization.
In 6Li (see the SI), the maximum
enhancement plateau extends further into the low-concentration regime,
as relaxation times are less affected by the much weaker quadrupolar
moment.Most importantly, these enhancements enable us to measure
high-sensitivity 17O NMR spectra in reduced time. The signal-to-noise
ratio
(S/N) per scan is given in Table . Of course, the paramagnetic relaxation enhancement
further considerably reduces the measurement time. The 17O spectrum of Fe005LTO was measured in 2 h, giving an S/N of 107.
(See the SI for more details of the experimental
parameters and signal intensities of all samples.)A consequence
of the experimental observation of the enhancement
plateau, where the DNP efficiency is independent of the concentration,
is that the steady-state nuclear hyperpolarization has to be independent
of the distance between polarized nuclei and the polarizing agent.
In the following discussion, we will analyze this finding from a theoretical
point of view.The DNP efficiency is mediated by the dipolar
coupling, ωD, which has an inverse
cubic dependence
on the distance[41]On the contrary,
nuclear longitudinal
relaxation places a temporal limit on the polarization enhancement
buildup. In rigid inorganic samples, the presence of fluctuating dipoles
can become the main source for relaxation of nuclear magnetization.[30,34] Lowe and Tse[42] give a detailed derivation
of the longitudinal relaxation considering the electronic spins as
classic fluctuating dipoles and as the only source of random fluctuating
fields. This allows to describe the nuclear relaxation in terms of
spectral density functions in which the correlation time is given
by the electronic relaxation times T1e and T2e. In doped samples, where paramagnetic
centers are scarce, it is unlikely that the relaxation of any nuclear
spin has significant contributions from more than one electron. Considering
this and taking an averaged angular value, the longitudinal relaxation
expression for any nucleus, i, coupled to an electron
spin, S, simplifies to[43]With the assumptions that
the nuclear Larmor frequency is much smaller than the electronic frequency
(ωn ≪ ωe) and ωnT1e ≪ ωeT2e, the equation simplifies considerably, as
the double- (DQ) and the zero-quantum (ZQ) terms (first and third
in the brackets) become negligible. Figure shows the distance dependence of both the
dipolar coupling, which is inversely proportional to the cube of the
distance, and the nuclear longitudinal relaxation time, which scales
by the distance to a power of 6. In the following, we will analyze
in a quantitative manner the effect of each contribution on the overall
polarization enhancement. We will consider the simplest case of one
single electron coupled to one single nucleus. (See Figure a.) Furthermore, we will assume
a dilute spin bath, excluding the possibility of spin diffusion and
a rigid lattice, such that the only source of nuclear relaxation arises
from the paramagnetic centers.
Figure 3
(a) Schematic diagram of the energy levels
in a spin system consisting
of one nucleus and one electron. Microwave irradiation on the double-quantum
transition can lead to DNP enhancement via the solid-effect mechanism.
Red arrows indicate relevant relaxation rates. (b) Distance dependence
of the e–n dipolar coupling according to eq (left axis, blue curve) and of the longitudinal
paramagnetic relaxation time according to eq (right axis, red curve). (c,d) Steady-state
nuclear polarization, P, relative to electronic equilibrium polarization as a function
of distance (c) and electronic relaxation time (d) obtained from simulations
(dots) and from the analytical expressions given in eqs and 8 (lines).
All calculations were done for a single electron spin S = 1/2 coupled to a single I = 1/2 nucleus with
the gyromagnetic ratio of 17O in a 9.4 T magnetic field
at 100 K under 0.35 MHz microwave irradiation[40] on-resonance with the double-quantum transitions and assuming T2e = T1e.
(a) Schematic diagram of the energy levels
in a spin system consisting
of one nucleus and one electron. Microwave irradiation on the double-quantum
transition can lead to DNP enhancement via the solid-effect mechanism.
Red arrows indicate relevant relaxation rates. (b) Distance dependence
of the e–n dipolar coupling according to eq (left axis, blue curve) and of the longitudinal
paramagnetic relaxation time according to eq (right axis, red curve). (c,d) Steady-state
nuclear polarization, P, relative to electronic equilibrium polarization as a function
of distance (c) and electronic relaxation time (d) obtained from simulations
(dots) and from the analytical expressions given in eqs and 8 (lines).
All calculations were done for a single electron spin S = 1/2 coupled to a single I = 1/2 nucleus with
the gyromagnetic ratio of 17O in a 9.4 T magnetic field
at 100 K under 0.35 MHz microwave irradiation[40] on-resonance with the double-quantum transitions and assuming T2e = T1e.The amount of nuclear hyperpolarization from irradiating
the DQ
transition will depend on the degree of saturation of the transition.
Parting from phenomenological rate equations, Bloch derived analytical
expressions to quantify the degree of saturation in a single spin-1/2
system under continuous μW irradiation.[44] We will describe the electron–nucleus system with analogue
rate equations in an approach similar to those of Hovav et al.[45] and Smith et al.[46]The diagonalization matrices used for diagonalization of the
hyperfine
interaction Hamiltonian can be used to obtain a DQ transition effective
nutation frequency,[45] ω̃1where we assumed an electronic
spin S = 1/2, with as the prefactor of the
pseudosecular part
of the hyperfine interaction and ω1 the μW
nutation frequency. Following the ideas introduced by the group of
Vega,[45,47] the DQ and ZQ longitudinal relaxation rates
were computed analogously, assuming only magnetic field fluctuations
along the x direction (eq ), and the transverse relaxation rates were
assumed to be equal to the electron transverse relaxation rate (R2DQ = R2ZQ = R2e).The rate equations for populations, p1,2,3,4, and DQ coherences, c32,23, will have
the following formandwhere for the rates, W, we used the
notation given by Slichter[48] with the arrows
pointing toward the direction of the transitions,
as shown in Figure a. The difference between energetically favored and nonfavored transitions
was calculated from the equilibrium Boltzmann distributions.[45] The complete set of rate equations is given
in the SI. Assuming that the electronic
relaxation rate is much faster than any other rate, which ensures
that the ratio of the energy levels connected through single-quantum
electron relaxation is conserved, it is possible to derive an analytical
expression for the efficiency of the saturation. (See the SI for the detailed derivation.)This expression assumes that
the difference in population between electronic spin states is small
(high-temperature approximation) but much larger than that between
nuclear spin states. From this value, the nuclear polarization enhancement
can be estimated and will be given as the ratio of nuclear to electron
(equilibrium) polarization according toWe note that eq differs
slightly from previously
reported expressions,[45,46] as we included a total of four
longitudinal relaxation paths counteracting the saturation of the
DQ transition: (1) p2 ↔ p3 with the rate R1DQ, (2) p1 ↔ p4 with the rate R1ZQ (≈ R1DQ), and both nuclear relaxation paths (3) p1 ↔ p2 and (4) p3 ↔ p4 with the rate R1n. These paths are shown as red arrows in Figure a. The total longitudinal relaxation
rate
is obtained upon summation of the individual rates.The most
significant implication of eq is that at the steady state, the polarization
enhancement is de facto independent of the dipolar coupling strength.
Its effects on the effective nutation field and on relaxation processes
cancel each other. As a consequence, the polarization enhancement
will be homogeneous throughout the sample, independent of the distance
to the paramagnetic agent (also shown in Figure c and compared with results from quantum-mechanical
simulations[45]). This is in agreement with
the experimental observation of an enhancement plateau in the low-concentration
regime. Of course, if R1n is shortened
by another relaxation mechanism, then the polarization spread from
the dopant is limited. Figure c,d shows that small variations in the electronic relaxation
times can result in a large effect on the polarization. Note that T2e is unlikely to affect the nuclear relaxation
but does have a huge effect on the hyperpolarization efficiency. This
is in line with the experimentally observed smaller enhancement in
the sample with the highest Fe(III) content, for which we reported
a decrease in the electronic relaxation times.[29]In this Letter, we presented high-quality natural
abundance 17O NMR spectra of the ionic conductor FeLTO
using MIDNP. We
show that this was made possible by the direct hyperpolarization of
nuclear spins throughout the bulk of the entire sample. Variation
of the Fe(III) concentration showed that the magnitude of the polarization
enhancement does not depend on the distance between nucleus and polarizing
agent, as long as the nuclear relaxation is dominated by the paramagnetic
coupling. This finding was corroborated and explained by a careful
analysis of the theoretical expressions describing the involved DNP
mechanism in a simplified model and through spin dynamic simulations.
These results show that MAS MIDNP NMR can be used to study the atomic
structure in inorganic materials by enabling measurements of otherwise
inaccessible low-sensitivity nuclei
Methods
All NMR
measurements were performed on a Bruker 9.4 T Avance-Neo
spectrometer equipped with a sweep coil and a 263 GHz gyrotron system.
All measurements were done at ∼100 K and at a MAS rate of 10
kHz. 6,7Li measurements as well as the 17O field
sweeps were done using a 3.2 mm triple-resonance low-temperature (LT)
DNP probe and single-pulse excitation. All other 17O measurements
were done using a 3.2 mm double-resonance LT-DNP probe with the Hahn
echo sequence,[49] with an echo delay of
0.1 ms, equivalent to one rotor period. All measurements were done
following a saturation pulse train with the recovery delays given
in the SI. The radio-frequency (rf) amplitudes
used were 56, 63, and 67 kHz for 17O, 7Li, and 6Li, respectively, exciting all NMR transitions. Further specific
measurement details are given in the SI. Longitudinal magnetization recovery, T1, and hyperpolarization buildup, TBU,
times were determined using the saturation recovery sequence[50] and fitting with a stretched exponential functionProcessing of the NMR spectra
was done with RMN 1.8.6.[51] Deconvolution
of the peaks obtained from the saturation recovery experiment was
done with the program deconv2Dxy.[52]Simulations were done with a MATLAB program written by Hovav et
al. presented in ref (45).
Authors: Thorsten Maly; Galia T Debelouchina; Vikram S Bajaj; Kan-Nian Hu; Chan-Gyu Joo; Melody L Mak-Jurkauskas; Jagadishwar R Sirigiri; Patrick C A van der Wel; Judith Herzfeld; Richard J Temkin; Robert G Griffin Journal: J Chem Phys Date: 2008-02-07 Impact factor: 3.488
Authors: Frédéric A Perras; Zhuoran Wang; Pranjali Naik; Igor I Slowing; Marek Pruski Journal: Angew Chem Int Ed Engl Date: 2017-06-06 Impact factor: 15.336
Authors: Michael A Hope; David M Halat; Pieter C M M Magusin; Subhradip Paul; Luming Peng; Clare P Grey Journal: Chem Commun (Camb) Date: 2017-02-09 Impact factor: 6.222
Authors: Scott L Carnahan; Amrit Venkatesh; Frédéric A Perras; James F Wishart; Aaron J Rossini Journal: J Phys Chem Lett Date: 2019-08-07 Impact factor: 6.475