Open Access Article
Gian-Marco Camenisch
a,
Nino Wili
b,
Gunnar Jeschke
*a and
Matthias Ernst
*a
aDepartment of Chemistry and Applied Biosciences, ETH Zürich, Zürich, Switzerland. E-mail: gjeschke@ethz.ch; maer@ethz.ch
bInterdisciplinary Nanoscience Center (iNANO) and Department of Chemistry, Aarhus University, Aarhus, Denmark
First published on 24th March 2026
Dynamic nuclear polarization experiments use microwave irradiation to transfer the larger electron polarization to nuclear spins of interest, and thus enhance the NMR transitions above thermal equilibrium. How the polarization transfer from the electron spin to the nuclear spins in such experiments proceeds and which nuclear spins close to an unpaired electron get polarized and contribute through spin diffusion to the observable bulk nuclear magnetization are not fully understood. We address these questions by combining reverse DNP and band-selective inversion pulses on nuclear spins. We report the electron-detected NMR spectrum of proton spins involved in the direct DNP process in Ox063 trityl samples with protonated and deuterated solvents and variable radical concentrations. We also determine the spin-diffusion barrier surrounding the trityl radical and find that proton spin diffusion is quenched for hyperfine couplings exceeding ∼250 kHz. This corresponds to a radius of the spin diffusion barrier in the range from 5.4 to 6.8 Å. Burning a hole into the NMR spectrum of proton spins involved in the direct DNP step reveals an electron–electron spin diffusion process imprinted on the proton spectrum. We explain this diffusion process using a three-spin system consisting of two electron spins and one proton, and quantify the electron spin diffusion rate constant.
:
D2O
:
H2O (6
:
3
:
1 by volume) gives high enhancement factors in conventional DNP experiments as first described in ref. 9 and knowledge about this system is of high value. We also report a spectral and spatial diffusion barrier with spin diffusion of protons within the barrier to the bulk protons being quenched. Furthermore, we were able to quantify electron spin diffusion rate constants by burning a hole into the electron-detected proton spectrum and observing its time evolution.
:
D2O
:
H2O (6
:
3
:
1) for tdel = 15 µs without electron decoupling (A) and with electron decoupling (B) for different amplitudes of the variable-amplitude Gauss pulse. We see from the amplitude nutation traces for different carrier frequencies ν0,I that the first minimum is found at an amplitude a = 25 corresponding to ∼100 kHz rf-field amplitude which agrees with the theoretical pulse profile as shown in Fig. S28 in Section B. of the SI. We clearly see in Fig. 2(A) that we are not able to invert the signal nor do we achieve a negative electron echo. The reason for this is that the proton spectrum is rather broad with a FWHM of ∼650 kHz. This effect is also seen in numerical simulations as shown in Fig. S29 in Section B. of the SI.
![]() | ||
Fig. 2 Electron-detected proton spectrum for 5 mM trityl in gly-d8 : D2O : H2O (6 : 3 : 1) using the pulse sequence of Fig. 1(A) with tdel = 15 µs and tSL = 4000 ns. The variable-amplitude Gauss pulse was placed in the middle of the delay tdel. (A) Amplitude nutation traces upon application of a band-selective Gauss pulse of 10 µs length. The relative amplitude a of this Gauss pulse is varied from 0 to 40. The first minimum of the amplitude nutation trace is at a relative amplitude of 25 corresponding to a Rabi frequency of ∼100 kHz. The carrier frequency of the amplitude nutation trace was varied from 14.14 to 15.10 MHz throughout different experiments. The minima of the amplitude nutation traces were extracted and plotted against the frequency to obtain the electron-detected proton spectrum. Comparison with the thermal equilibrium signal of the bulk protons using regular NMR detection is shown in red. (B) Amplitude nutation traces upon application of the same band-selective Gauss pulse as in (A) with simultaneous electron decoupling during that pulse. | ||
The inversion efficiency increases by narrowing the proton spectrum through electron decoupling during the nutation pulse. With electron decoupling an almost complete inversion of the Hahn echo reaching a minimum signal intensity of about −0.8 in the center of the proton spectrum at ν0,I = 14.89 MHz. The center frequency is shifted by ∼40 kHz compared to the thermal equilibrium proton signal from the bulk. The electron-detected proton spectrum is obtained by extracting the first minima of the amplitude nutation traces. This is shown in Fig. 2(A) and (B) on the bottom. Without electron-decoupling during the nutation pulse, we obtain an electron-detected proton spectrum with a full-width-half-maximum (FWHM) of ∼650 kHz. Note that due to the limited tuning range of the proton circuit, only part of the undecoupled line could be detected. The proton line is by a factor of ∼20 wider than for the thermal equilibrium proton signal from the bulk (see Fig. S38 in Section C.1. of the SI). Under electron decoupling during the nutation pulse, the line width of the proton spectrum is reduced by a factor of ∼5 compared to the line width without electron decoupling, resulting in a FWHM of ∼130 kHz. This is still a factor of ∼4 larger than the line width of the thermal equilibrium proton signal from the bulk. However, the FWHM of the electron-detected proton spectrum recorded with simultaneous electron decoupling during the pulse is equal to the FWHM of the theoretical inversion bandwidth of the variable-amplitude Gauss pulse, as shown in Fig. S28 in Section B. of the SI. The larger linewidth with electron decoupling as compared to direct NMR observation of bulk protons can thus be attributed to power broadening.
This motivated us to perform numerical simulations for a more quantitative understanding. For this, we assumed proton lines with FWHM that are equal or smaller than the FWHM of the pulse inversion band. If the proton line width is on the same order as the inversion pulse or even less, a slightly broader proton spectrum is obtained by extracting the minima of the amplitude nutation traces compared to the “true” proton spectrum (see Fig. S30 for a proton FWHM of 30 kHz and S31 for a proton FWHM of 130 kHz in the SI). In both cases, the FWHM of the proton spectrum obtained by the minima of the amplitude nutation traces has a FWHM of ∼130 kHz. That such an approach with extracting the minima of the amplitude nutation traces is suitable to record a proton spectrum that is significantly broader than the bandwidth of the inversion pulse (∼130 kHz) is shown in Fig. S32 in the SI. This shows that our method of indirect measurement of the proton line width works best for spectra that are significantly broader than the theoretical pulse inversion profile. Different types of band-selective rf pulses were tested (I-BURP,35,36 optimal control designed pulses37,38). Those band-selective pulses have a narrower inversion profile than the 10 µs Gauss pulse, but are much longer (up to 100 µs or even more). We found that the long duration of such pulses induces substantial loss of signal.
Another reason for the relatively broad proton line observed under electron decoupling could be that the electron decoupling is not perfect as can be seen from the shoulder on the left hand side of the main peak in Fig. 2(B) and that the Hahn echo is only inverted up to 80%. The electron-decoupling consisted of 99 π-pulses of 12 ns length spaced by 80.2 ns with an FWHM of ∼66.4 MHz of the theoretical inversion profile (see Fig. S36 in the SI). The EPR spectrum of trityl has an FWHM of ∼6.23 MHz. Hence, our pulses should in principle be sufficient to invert the entire EPR spectrum uniformly. Further improvements in the decoupling efficiency can be envisioned by using broadband chirp pulses27 or broadband decoupling sequences as used in solution-state NMR.39
In Fig. 3 we compare the electron-detected proton spectra for samples with different protonation levels of the water, i.e., 5 mM trityl in gly-d8
:
D2O
:
H2O (6
:
3
:
1), gly-d8
:
D2O (6
:
4) and gly-d8
:
H2O (6
:
4) and of different trityl concentration (100 µM and 5 mM both in gly-d8
:
D2O
:
H2O (6
:
3
:
1)). In Fig. 3(A) we show the electron-detected proton spectra without electron decoupling and in Fig. 3(B) with electron decoupling for the four different sample compositions for a value of tdel = 15 µs. We can see that except for deviations within experimental uncertainty between the four samples, the electron-detected proton spectra are almost identical. For tdel = 800 µs as shown in Fig. S37 in the SI the agreement within the four different data sets is even better. Here, we discuss the experiments for a short time tdel = 15 µs to ensure that spin diffusion to the bulk is negligible (see Section 2.2). The observation that the electron-detected proton spectra of the four different samples are almost identical in shape and intensity lets us conclude that we detect protons that are located on the trityl molecule or on close-by solvent molecules rather than the bulk protons. The bulk proton concentration in the four samples is quite different, and we compared the intensity of the thermal equilibrium proton spectra with the theoretical number of protons in the samples (see Table S6 in the SI). The integrated intensities and the number of protons per sample are in good agreement. The calculation for the number of protons in the samples includes the purity of the deuterated molecules and the protons of the trityl molecule. This indicates that there was no contamination during preparation of the samples. Except for the unavoidable proton impurities in gly-d8 (∼2% protons) and D2O (∼0.15% protons) as used for the sample preparation of the gly-d8
:
D2O (6
:
4) mixture, the amount of protons in the bulk of the matrix of gly-d8
:
H2O (6
:
4) as compared to gly-d8
:
D2O (6
:
4) is by a factor
larger. For such a large difference of numbers in the bulk protons, we would expect a large difference in the electron-detected proton spectra if our method would detect a significant amount of bulk protons (see also thermal equilibrium spectra shown in Fig. S38 and S39 in the SI).
![]() | ||
Fig. 3 Electron-detected proton spectrum for 5 mM trityl Ox063 in gly-d8 : D2O : H2O (6 : 3 : 1) black, gly-d8 : D2O (6 : 4) red, gly-d8 : H2O (6 : 4) green and for 100 µM trityl Ox063 in gly-d8 : D2O : H2O (6 : 3 : 1) light-blue using the pulse sequence of Fig. 1(A). The variable-amplitude Gauss pulse was placed in the middle of the delay tdel = 15 µs and tSL = 4000 ns. Panels (A) and (B) show the electron-detected proton spectra without and with electron decoupling, respectively. Within experimental error between the four different measurement sessions the electron-detected proton spectra are identical. Please note that the data in black were already shown in Fig. 2. | ||
Another indication that our experimental scheme in Fig. 1(A) detects proton spins that are located on the trityl molecule itself or on close-by molecules is by comparing it to the 1H MIMS ENDOR spectrum reported in Fig. 3 of ref. 23. The 1H MIMS ENDOR spectrum of the d36-Finland trityl that contains no protons directly bound to itself in gly-d8
:
D2O
:
H2O (6
:
3
:
1 by volume) shows a FWHM of ∼200 kHz. This is a factor of 3.25 smaller than our observed linewidth. Note that MIMS ENDOR has a blind spot behavior, which also influences the hyperfine couplings that are observable.40 Our experimental scheme is not hampered by such a blind spot behavior.
:
H2O (6
:
4). Fig. 4(A) shows the measurement for νrf,2 = 14.77 MHz and (B) for νrf,2 = 14.89 MHz. The reconstructed proton spectra for different delays tdel are shown in Fig. 4(C). They were obtained by extracting the minima of the amplitude nutation traces at an amplitude a2 = 25, which is indicated by the green dashed lines in Fig. 4(A) and (B). One can clearly see that the proton polarization decays and that this decay is more pronounced in the center of the spectra, i.e., in the range of 14.64 MHz ≤ νrf,2 ≤ 15.07 MHz. Outside this range no significant decay of the proton polarization can be observed on this time scale. Comparing this observation with the thermal bulk proton spectrum as shown in Fig. S38 in the SI with a center frequency ∼ ν0,I = 14.853 MHz and a FWHM = 0.054 MHz, we attribute this loss of magnetization to spin diffusion to the bulk protons rather than a decay originating from longitudinal relaxation of the protons (bulk proton relaxation times T1,H are on the order of seconds for all samples). Outside this range spin diffusion to the bulk protons is much slower due to the large difference in the proton frequency between the bulk and the protons nearby the electron spin. For a shift in frequency of 14.853 MHz–14.6 MHz = 0.253 MHz the electron–proton distance can be calculated to define a spatial diffusion barrier. For an angle θ between the external magnetic field vector
and the electron–proton distance vector
SI we find for θ = 0° |
SI| = 6.8 Å and for θ = 90° |
SI| = 5.4 Å. This is in very good agreement with the diffusion barrier of <6 Å as reported by Tan et al.23 The spin diffusion to the bulk protons is faster at the center of the proton line (νrf,2 = 14.89 MHz) than at the edge of the active range (νrf,2 = 14.64 MHz or νrf,2 = 15.07 MHz) as can be seen in Fig. 4(D). In the absence of any nutation pulses (a2 = 0), an average decay is measured due to the missing proton frequency selectivity.
![]() | ||
Fig. 4 Measurement of spin diffusion from protons nearby an electron spin to bulk protons using the pulse sequence of Fig. 1(B). (A) and (B) Recorded amplitude nutation traces for tdel ranging from 15 µs to 3000 µs by varying the amplitude a2 of the Gauss pulse. The sample was 5 mM trityl in gly-d8 : H2O (6 : 4) and tSL = 4000 ns. In (A) the carrier frequency of the Gauss pulse was νrf,2 = 14.77 MHz and in (B) 14.89 MHz, with the latter corresponding to the center of the proton spectrum. The data points to plot the proton spectra were extracted along the green dashed line. (C) Proton spectra for different delays tdel. The spin diffusion towards the bulk is more pronounced in the center of the spectrum. The reddish dashed lines indicate the spectral positions where the data points for the traces in (D) were extracted. (D) Diffusion traces extracted from (C) for different frequencies νrf,2. The diffusion to the bulk is fastest for νrf,2 = 14.89 MHz corresponding to the center of the spectrum and gets slower moving away from the center. The black solid line indicates a measurement in the absence of any Gauss pulse i.e. a2 = 0. | ||
A simple fit to a mono-exponential or stretched exponential decay as shown in Fig. 4(D) did not give satisfactory or stable results. A longer time scale would be required to unambiguously characterize the decay constant of the spin diffusion process. In reality a sum of mono-exponential or stretched exponential functions might describe the spin diffusion accurately, similar to ref. 20. Also the electron spin polarization plays a role in the nuclear spin diffusion.21 It was found experimentally and explained using Lindblads Master equation in ref. 21 that the lower the electron spin polarization the faster the nuclear spin diffusion. A detailed investigation of the spin diffusion for different matrix compositions and electron concentrations is beyond the scope of this article, but would be an interesting research topic. In the context of this work the aim is to quantify the spectral range in the proton spectrum where spin diffusion to the bulk takes place. In Fig. S48 in the SI we show the experimental data for a NOVEL contact time tSL of 800 ns. The protons nearby the electron spin are thus less polarized, and the observed spin diffusion towards the bulk is slower. This indicates that a significant amount of the observed loss in polarization for increasing tdel can be attributed to spin diffusion towards the bulk rather than to spin relaxation of the nuclei. The latter is expected to be independent of the polarization level of the nearby protons. With our experimental data as shown in Fig. 4 we observe a spectral region ranging from ∼14.64 MHz to 15.07 MHz in which spin diffusion to bulk protons takes place. Outside this spectral region spin diffusion to the bulk is quenched due to the strong HFI.
:
D2O
:
H2O (6
:
3
:
1) and νrf,1 = 14.69 MHz. The amplitude traces of all other samples and frequencies νrf,1 can be found in Sections E.2.–E.6. of the SI. To observe time-dependent changes in the spectra, the delay between the two Gauss pulses Δt was incremented independently. All details about the data analysis and processing of the experimental data can be found in Section 4.
Fig. 5 shows the proton spectra as a function of Δt for a hole burning frequency of νrf,1 = 14.69 MHz for four different samples. In all spectra, it can be observed that the hole burning was successful and that the hole is slowly filled for larger values of Δt. We observe an intensity loss symmetrically shifted around the center of the proton spectrum at νrf,2 ∼ 14.89 MHz. The hole in the proton spectrum has a width of ∼320 kHz which matches the width of the theoretical inversion profile of ∼360 kHz as shown in Fig. S1.
This diffusion process is observed in samples with 5 mM trityl concentration with different degrees of protonation as shown in Fig. 5(A)–(C). It is strongly reduced in the sample with a trityl concentration of 100 µM. This constitutes first evidence that the observed process includes a spin system consisting of two or more electron spins. The proton polarization transport process occurs on a time scale of ∼100 µs (see Fig. 8 and Table 1), while the relaxation time of the electrons is T1,e ∼ 2.5 ms for all samples regardless of the trityl or proton concentration. The bulk proton relaxation times T1,H are on the order of seconds for all samples, and even protons near the radicals are unlikely to relax so fast.1 The hole forming at νrf,2 ∼ 15.04 MHz broadens over time, which is another indication that the observed spin transport process is not caused by T1 relaxation. The latter would only reduce the depth of the hole over time, but not influence its width. The process is symmetric for holes burned at νrf,1 = 15.04 MHz and νrf,1 = 14.69 MHz (see Fig. S50 Section E.1. in SI). For a hole burned at the center of the spectrum at ∼νrf,1 = 14.89 MHz we do not observe any spectral transport process at all, as shown in Fig. 6.
| Sample | ΔI/a.u. | τ/µs | I∞/a.u. |
|---|---|---|---|
gly-d8 : D2O : H2O (6 : 3 : 1) 5 mM |
0.361 | 168.499 | 0.132 |
gly-d8 : D2O (6 : 4) 5 mM |
0.356 | 172.961 | 0.142 |
gly-d8 : H2O (6 : 4) 5 mM/4000 ns |
0.347 | 155.591 | 0.148 |
gly-d8 : H2O (6 : 4) 5 mM/800 ns |
0.367 | 140.626 | 0.142 |
gly-d8 : D2O : H2O (6 : 3 : 1) 100 µM |
0.129 | 530.830 | 0.367 |
These observations can be explained by a simple three-spin model consisting of two coupled electron spins and one proton spin. The proton spin needs to be hyperfine coupled to one of the electron spins. The Hamilton operator for such a spin system can be written in the rotating frame of the electron spins (S1 and S2) and the laboratory frame of the proton spin I as
![]() | (1) |
the secular and
the pseudo-secular part of the hyperfine coupling between electron 1 and the proton. The electron resonance frequencies are given by
and
, while B0 is the external static magnetic field applied along the laboratory z-axis. Thus, the proton Larmor frequency is given by ω0,I = −γIB0.
is the hyperfine coupling constant and
is the dipole–dipole coupling constant between electron spin 1 and 2. If the two electrons undergo a flip-flop transition (α1 → β1 and β2 → α2, i.e., electron spin diffusion), the hyperfine coupling to the proton changes sign, and the frequency of the proton changes. If the difference in the Larmor frequencies between the two electron spins is roughly equal to half of the secular hyperfine coupling constant, i.e.,
, the process in the three-spin system would be energy conserving and, therefore, fast. The matrix elements that drive this process are
and originate from the flip-flop operators Ŝ1+Ŝ2− and Ŝ1−Ŝ2+ in eqn (1). Note that for the proton spin in the βI-state the description is equivalent. This electron spin diffusion process is schematically shown in an energy level diagram in Fig. 7 and is what we observe experimentally when burning a hole at νrf,1 = 14.69 MHz or νrf,1 = 15.04 MHz. The hole initially burned at νrf,1 is slowly filled with magnetization originating from the spectral region symmetric around the center of the proton spectrum. In the center of the proton spectrum at ∼νrf,1 = 14.89 MHz the electron spin diffusion is not visible on the proton spectra because the hyperfine coupling is too small to generate a visible splitting of the resonances. Thus, the exchange of magnetization between the two spectral positions in the proton spectrum is most likely caused by an electron spin-diffusion process. Similar phenomena were observed in MAS NMR in the 13C spectra of adamantane41 or in 13C spectra of a small organic molecule with trifluoromethyl group.42 In a three-spin system analogous to ours case, i.e., two coupled electron spins and one proton coupled to one of them, a T1,e-driven mechanism was observed in Davis ENDOR for a frozen solution of copper(L-histidine)2.43 The three-spin mechanism in ENDOR is observed by matching |ω0,S1 − ω0,S2| = |ω0,I| analogous to the cross effect in DNP.44–47
To check that magnetization is indeed transported symmetrically across the center of the proton line, one can analyze the behavior of the sum IΣ(Δt) and difference magnetization IΔ(Δt) for two spectral positions νh and and νf. The frequency νh denotes the spectral position near the hole and νf the symmetric position where magnetization is lost. The two frequencies are symmetric around the center of the spectrum, i.e., νh = ν0,I + Δν and νf = ν0,I − Δν, and are shown in Fig. 5(A). Then the sum magnetization IΣ and the difference magnetization IΔ can be defined as
![]() | (2) |
![]() | (3) |
:
D2O
:
H2O (6
:
3
:
1), where almost no diffusion process is visible. In Fig. 8 we only show the difference magnetization for the hole burned at νrf,1 = 14.69 MHz for all four different samples. We fitted the difference magnetization IΔ(Δt) to an exponential decaying function including a plateau I∞ as described in eqn (S.6) in the SI. The extracted fitting parameters are given in Table 1. From the data in Fig. 8 and Table 1 we can see that the three samples with 5 mM trityl concentration show almost identical decays. A small variation in the decay-rate constant and the final value with respect to the proton concentration can be observed especially at the center of the line. Among the samples with 5 mM trityl concentrations, the deuterated sample shows the slowest decay and the sample with only H2O the fastest decay. Here we used a simple mono-exponential function to fit the data. A sum of exponentials or stretched exponentials might be a better fitting model. We refrain from optimizing fit quality by making the model more complex, as we aim to describe the origin of the diffusion process only qualitatively here.
![]() | ||
| Fig. 8 Comparison of the difference magnetization according to eqn (3) for different combinations of νh and νf across the four different samples. The hole is burned at νrf,1 = 14.69 MHz. (A) Corresponds to νh = 14.69 MHz, νf = 15.04 MHz, (B) to νh = 14.77 MHz, νf = 14.98 MHz, (C) to νh = 14.80 MHz, νf = 14.95 MHz and (D) to νh = 14.64 MHz, νf = 15.10 MHz. | ||
When we compare the 5 mM samples to the 100 µM sample, we see a drastic slowdown of the spectral diffusion process by a factor of 4–5 in the decay rate constant τ upon reducing electron concentration by a factor of 50. This is consistent with our initial assessment that the observed proton polarization transport is the result of an electron spin diffusion process within a three-spin system consisting of two coupled electron spins and on proton spin. A decrease in the electron–electron coupling strength between the 5 mM samples and the 100 µM sample is also visible in phase memory time TM measured using a two pulse Hahn echo and shown in Fig. S25 Section A.7. in the SI.
The center of the electron-detected proton spectrum is shifted by ∼40 kHz and the FWHM increases by a factor ∼20 compared to the bulk proton signal. We validated our experimental results by simultaneous application of electron decoupling during the band-selective inversion pulse, which reduces the proton line width significantly. Under optimized π-pulse decoupling on the electrons, the FWHM is reduced by a factor of 5. The observed proton line width under electron decoupling is still a factor ∼4 larger than the line width of the bulk spectrum. This is most likely due to the large radiofrequency field amplitude of the band-selective proton pulses. In addition, imperfect electron decoupling might also contribute to the larger line width, and we expect that the decoupling efficiency could be increased by using broadband chirp pulses.
By measuring the spin-diffusion rate constant to the bulk as a function of the proton spectral frequency, we were able to characterize the spectral diffusion barrier of the proton spins close to the electrons. Thus, we observe a spectral region ranging from ∼14.64 MHz to 15.07 MHz in which spin diffusion to bulk protons centered at ν0,I ∼ 14.85 MHz takes place. This results in a radius for the diffusion barrier ranging from ∼5.4 to 6.8 Å. For proton spins with a electron–proton distance shorter than ∼5.4 Å, diffusion to the bulk protons is quenched. A straightforward analysis of the diffusion time constant is complicated by different effects that influence the diffusion of polarization from protons close to an electron spin to the bulk protons.
Using hole-burning experiments on the proton line, we were able to characterize electron spin diffusion through a change in the proton resonance frequency. The electron spin diffusion mechanism was confirmed by comparing samples with two different concentrations of trityl. The electron spin diffusion process is absent in a sample of 100 µM trityl in gly-d8
:
D2O
:
H2O (6
:
3
:
1) and is almost independent of the concentration of protons in the matrix.
The observations in this publication have implications for the future design of new DNP experiments and probably also ENDOR experiments. We were able to detect the proton spectrum of protons spins nearby an unpaired electron spin in trityl Ox063 and to reduce the line width of that spectrum by applying electron-decoupling. Furthermore, we showed that a hole can be burned into the spectrum and an electron–electron spin diffusion process within an electron–electron–proton spin system can be observed. More important, we showed that not all protons nearby an electron spin take part in the spin diffusion process towards the bulk proton spin bath. This has important consequences for the design of more efficient DNP radicals. In this work, we measured a narrow-line trityl radical. We expect that the experiments in this work can be extended by pulsed broadband DNP sequences48,49 to also investigate radicals with broader EPR spectra such as nitroxides. Extending the pulse sequences in this work to large magnetic fields would also be an interesting direction for further research. However, the NOVEL matching condition is difficult to fulfill at magnetic fields larger than 3 T. In principle other DNP sequences like the solid effect and its frequency-swept versions (integrated SE,50–54 stretched SE53,54 and adiabatic SE54,55) or pulsed DNP sequences like TOP,30 XiX31,32 or TPPM33 can be used. Those sequences show a decreased DNP efficiency compared to NOVEL at the same magnetic field56 and use off-resonance mw irradiation on the electron spin. While a decrease in DNP efficiency can be overcome by slightly increasing the number of DNP contacts, off-resonance mw irradiation could potentially lead to artifacts due to spectral diffusion i.e. for a Hahn echo detection applied on-resonance on the electron spin. However, we expect that the measurement of the spin diffusion barrier is dominated by the hyperfine coupling strength, and thus independent of the external magnetic field.
| Compound | MW/(g mol−1) | ρ0/(g mL−1) |
|---|---|---|
| Ox063 trityl | 1359 | — |
| H2O | 18.02 | 0.997 |
| D2O | 20.03 | 1.11 |
| Glycerol-d8 | 100.14 | 1.371 |
:
D2O
:
H2O (6
:
3
:
1). 1.69 mg of the trityl were dissolved in 24.15 mg water (deionized water from the lab) and 80.93 mg D2O (Sigma Aldrich, ≥99.85 atom% D). This gives a ∼1.2 µM solution of trityl dissolved in a D2O
:
H2O matrix of 3
:
1 by volume. From that resulting solution, 48.6 µL were added to 99.92 mg glycerol-d8 (Sigma Aldrich, ≥98 atom% D by Chromatography Purity) to give the desired 5 mM solution of trityl in DNP juice. 40 µL of that final solution were added to a 3 mM OD quartz capillary. All masses were weighed in with a AT261 delta range scale with a precision of 0.01 mg. A pipetman from GILSON (P100) with volumes adjustable to 0.1 µL precision was used to transfer and measure the volumes.
:
D2O (6
:
4). The sample with a fully deuterated matrix was prepared inside a glove box. All chemicals and equipment were placed in the glove box 24 hours prior to sample preparation to prevent contamination from residual surface moisture.1.7 mg of the trityl were dissolved in 112.5 mg D2O (Cambridge Isotope Laboratory, ≥99.85 atom% D, sealed glass ampule). This gives a ∼1.2 µM solution of trityl dissolved in a D2O. From that resulting solution, 48.6 µL were added to 100.2 mg glycerol-d8 (Sigma Aldrich, ≥98 atom% D by CP, freshly opened in the glove box) to give the desired 5 mM solution of trityl in a gly-d8
:
D2O (6
:
4 by volume) matrix. 40 µL of that final solution were added to a 3 mM OD quartz capillary inside the glove box. The quartz capillary was then transferred under inert condition and sealed using a Schlenk line. All masses were weighed in with a Mettler Toledo scale with a precision of 0.1 mg. As GILSON PIPETMAN (P100 and P20) with volumes adjustable to 0.1 µL precision were used to transfer and measure the volumes.
:
H2O (6
:
4). 1.68 mg of the trityl were dissolved in 101.34 mg H2O (deionized water from the lab). This gives a ∼1.2 µM solution of trityl dissolved in a H2O. From that resulting solution, 48.6 µL were added to 108.36 mg glycerol-d8 (Sigma Aldrich, ≥98 atom% D by CP) to give the desired 5 mM solution of trityl in a gly-d8
:
H2O (6
:
4 by volume) matrix. 40 µL of that final solution were added to a 3 mM OD quartz capillary. All masses were weighed in with a Mettler Toledo AX205 scale with a precision of 0.01 mg. A GILSON PIPETMAN (P100) and GILSON (P20) with volumes adjustable to 0.1 µL precision were used to transfer and measure the volumes.
:
D2O
:
H2O (6
:
3
:
1). 0.33 mg of the trityl were dissolved in 242.94 mg water (deionized water from the lab) and 810.24 mg D2O (Sigma Aldrich, ≥99.85 atom% D). This gives a ∼0.25 µM solution of trityl dissolved in a D2O
:
H2O matrix of 3
:
1 by volume. From that resulting solution 486 µL were added to 1000.2 mg glycerol-d8 (Sigma Aldrich, ≥98 atom% D by CP) to give the desired 100 µM solution of trityl in DNP juice. 40 µL of that final solution were added to a 3 mM OD quartz capillary. All masses were weighed in with a Mettler Toledo AX205 scale with a precision of 0.01 mg. A GILSON PIPETMAN (P100) with volumes adjustable to 0.1 µL precision was used to transfer and measure the volumes.All experiments were conducted at 80 K and an external magnetic field of around 0.35 T (X-band, ν0,e ∼ 9.8 GHz, ν0,H ∼ 14.83 MHz). The sample was flash frozen in liquid nitrogen before placed in the resonator.
:
D2O
:
H2O (6
:
3
:
1), 5 mM trityl in gly-d8
:
D2O (6
:
4) and 5 mM trityl in gly-d8
:
H2O (6
:
4). The sample 100 µM trityl in gly-d8
:
D2O
:
H2O (6
:
3
:
1) was measured using a digitizer running at 10 GSa s−1 (ADQ7DC). A Bruker EN4118X-MD4 resonator was used with a home-built external rf tuning and matching box. NMR pulses were generated with an OpenCore spectrometer.58,59 A schematic representation of a general DNP experiment used in this work can be seen in Fig. 1. The general sequence starts with a NOVEL DNP contact consisting of a
-pulse of 6 ns length and a digital amplitude 1 (max. amplitude) and a spin lock of length tSL. In most of the experiments tSL was set to 4000 ns. The optimal amplitude and length of the spin lock was determined by a single DNP contact followed by a Hahn echo detection as described in Section A.1. of the SI. After the first DNP contact the AWG was delayed for tdel. During this delay pulses on the proton channel were applied using a BLAX300RS amplifier, where the maximum output power is 300 W corresponding to a relative amplitude of 100. A detailed description of the pulse scheme on the proton channel is given below. After the delay tdel the electron spin was saturated by a train consisting of five pulses of 10 ns length spaced by 1800 ns. This step is necessary to ensure that the proton spins are more strongly polarized than the electron spin and thus to facilitate the reverse DNP transfer (second spin lock). The reverse DNP was started 1800 ns after the last saturation pulse. The electron signal was then read out by a Hahn echo with τ = 600 ns and a π of 12 ns length and a digital amplitude of 1. Each single-shot experiment was followed by a 1H saturation pulse train consisting of eleven 100° pulses spaced by 1 ms to destroy any polarization left on the protons. The frequency of the saturation pulses was always on resonance with respect to tuning and matching. The shot repetition time was set to 15 ms ∼ 5T1,e.
The NMR spectra without any DNP involved were recorded with only pulses applied to the proton channel. The proton spectra were recorded by a solid echo consisting of two 90° pulses of 2.5 µs length separated by tSE = 20 µs. For the solid echo a eight step phase cycle was used with {x, x, y, y, −x, −x, −y, −y} for the first pulse and detection and {y, −y, x, −x, y, −y, x, −x} for the second pulse. A dwell time of 4 µs and a number of 1024 sampling points was used to sample the solid-echo signal. A saturation recovery pulse sequence with adjustable delay τdelay was used to record the T1,H of the proton spin. The reference experiment was recorded with τdelay = 180 s ≈ 5·T1,n. To process the NMR data, a cosine-squared apodization function was used and time-domain data was zero-filled to twice the number of recorded data points. After Fourier transformation of the resulting time-domain data, the peak was fitted by a Lorentzian–Gauss blend.
The data that support the findings of this study are available at https://doi.org/10.3929/ethz-c-000791347.
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