A. Verhoeven et al. / Journal of Magnetic Resonance 168 (2004) 314–326
319
(dDð1;3Þ ¼ 2248 Hz) and a J coupling (J13 ¼ 50 Hz) to a
passive spin off rotational resonance by d13=ð2pÞ ¼ 3 kHz
the simple two-spin approximation (Eq. (23)) is still
quite good as can be seen in Fig. 2C. However, some
additional low-amplitude high-frequency oscillations
become apparent which cannot be described by the
pseudo two-spin model but by the additional frequencies
contained in Eq. (14); (iv) If the offset from the rota-
tional-resonance condition d13=ð2pÞ is reduced further,
these high-frequency oscillations become stronger. This
is shown in Fig. 2D, where the offset is smaller than
1 kHz, which is less than the passive dipolar coupling.
These components decrease in frequency but increase in
amplitude for decreasing values of d13. The simplified
model does not only fail to reproduce the high frequency
oscillations, it also gives the wrong magnitude for the
amplitude of the time-independent term. Despite the
small offset from the rotational-resonance condition for
the passive spin pair, the approximate description from
Appendix B still leads to good results. The shape of the
exchange curves also depends somewhat on the relative
orientation of the active and passive dipolar coupling
tensors (see Additional material).
Larger deviations can be observed at lower MAS
frequencies. If the calculation of Fig. 2C is repeated
with an MAS frequency of xr=ð2pÞ ¼ 5 kHz, while
adjusting the chemical-shift difference of the active spin
pair to remain on the n ¼ 1 rotational resonance, larger
deviations of the approximate solution from the exact
simulations are observed (Fig. 3). This is due to the fact
that the spin pair 1–3 is now simultaneously close to
two rotational-resonance conditions since the offset
from the n13 ¼ 1 condition is 3 kHz and the offset from
the n13 ¼ 2 condition is 2 kHz. In this case, the secular
approximation, which takes into account only the
closest RR condition of the spin pair 1–3, becomes
inadequate.
4. Analysis of the equations including relaxation effects
To interpret the experimental RR polarization-
transfer curves from multiply labelled samples, three
simple models all based on the Liouvillian of Eq. (27)
were employed:
(A) In the simplest approach, the multi-spin system
was treated like a two-spin system on rotational
ꢃ1=2
resonance and the offsets D
were set to zero. A
12
powder average was calculated using the Liouvillian of
Eq. (27) with the dipolar-coupling constant b12 and the
zero-quantum relaxation-rate constant R2 as well as the
initial polarization difference Sð0Þ as free parameters
(see also Eq. (28)).
(B) Based on the observation that the dipolar oscil-
lation is offset by a value C, the model A was extended
by a pedestal for the dipolar oscillation (or a base-line
offset for the transfer curves). This is the model em-
ployed in [3]. Free fit parameters are Sð0Þ, b12, R2, and
the pedestal Sð1Þ (see also Eq. (29)).
ꢃ1=2
(C) The full Liouvillian of Eq. (27) with D
¼ 0,
12
according to the model sketched in Chapter 2 was used
in this model. Since the orientation-depenꢃd1e=n2t offset
from the rotational-resonance condition D12 ða; b; c)
depends on the usually unknown relative orientation of
the two dipolar-ꢀco1=u2pling tensors, the approximation
þ1=2
ꢁ
ꢁ
D
ða; b; cÞ ¼ D12 ða; b; cÞ ¼ D was used, where D is
12
constant and independent of the crystal orientation.
Free parameters of the fit (according to Eq. (29)) are the
dipolar-coupling constant b12, the zero-quantum relax-
ation-rate constant R2, the initial polarization difference
Sð0Þ, and the average effective offset from the RR con-
ꢁ
dition D. Sð1Þ was held constant at the value expected
from the natural-abundance contributions.
To estimate the errors associated with the three models,
we have fitted the numerically exact polarization-transfer
curves for a three-spin model system with each of the
three two-spin models described above. The three-spin
simulations were performed in the full Liouville space
using the GAMMA spin-simulation environment [9]
complemented by block-diagonalization code to speed
up the matrix diagonalization. Relaxation was imple-
mented as described by Eqs. (25) and (26). The relax-
ation-rate constants were chosen to be identical for
every spin (k1 ¼ k2 ¼ 100sꢀ1). The maximum mixing
time in each simulation was chosen as a function of the
3
distance according to smmax ¼ 5ms ꢁ ðr12=ð1:5AÞÞ or
ꢀ
smmax ¼ 100 ms whichever is shorter. In this way we
account for the decreasing oscillation frequency of the
transfer process for longer distances. The difference
polarization was sampled every rotor period. Gaussian
noise with a standard deviation of 0.005 was added to
Fig. 3. Polarization transfer curves generated in a similar way as in Fig.
2. In these simulations the MAS frequency is reduced to
xr=ð2pÞ ¼ 5 kHz. The passive spin is now close to both the n ¼ 1
(d13=ð2pÞ ¼ 3 kHz) and the n ¼ 2 (d13=ð2pÞ ¼ 2 kHz) RR conditions.