Simon Glanzer1, Klaus Zangger1. 1. Institute of Chemistry/Organic and Bioorganic Chemistry, University of Graz, Heinrichstrasse 28, A-8010 Graz, Austria.
Abstract
Scalar coupling patterns contain a wealth of structural information. The determination, especially of small scalar coupling constants, is often prevented by merging the splittings with the signal line width. Here we show that real-time J-upscaling enables the visualization of unresolved coupling constants in the acquisition dimension of one-dimensional (1D) or multidimensional NMR spectra. This technique, which works by introducing additional scalar coupling evolution delays within the recording of the FID (free induction decay), not only stretches the recorded coupling patterns but also actually enhances the resolution of multiplets, by reducing signal broadening by magnetic field inhomogeneities during the interrupted data acquisition. Enlarging scalar couplings also enables their determination in situations where the spectral resolution is limited, such as in the acquisition dimension of heteronuclear broadband decoupled HSQC (heteronuclear single quantum correlation) spectra.
Scalar coupling patterns contain a wealth of structural information. The determination, especially of small scalar coupling constants, is often prevented by merging the splittings with the signal line width. Here we show that real-time J-upscaling enables the visualization of unresolved coupling constants in the acquisition dimension of one-dimensional (1D) or multidimensional NMR spectra. This technique, which works by introducing additional scalar coupling evolution delays within the recording of the FID (free induction decay), not only stretches the recorded coupling patterns but also actually enhances the resolution of multiplets, by reducing signal broadening by magnetic field inhomogeneities during the interrupted data acquisition. Enlarging scalar couplings also enables their determination in situations where the spectral resolution is limited, such as in the acquisition dimension of heteronuclear broadband decoupled HSQC (heteronuclear single quantum correlation) spectra.
Structural information
in NMR spectra is obtained mainly from resonance
frequencies and scalar coupling patterns. The extraction of scalar
coupling information is often prevented by signal overlap and, especially
for small J-values, by the signal widths. A series
of experiments have been described to simplify the extraction of homonuclear
coupling constants, especially for overlapped signals and for small
couplings. Often two-dimensional (2D) and multidimensional NMR experiments,
in particular J-resolved spectra,[1] are used. A variety of 2D homonuclear correlation spectra
like the small flip angle COSY (correlated spectroscopy),[2] E-COSY,[3] P.E.COSY,[4] or z-COSY[5] allow accurate
measurements of small J-values, but only those of
passive couplings (the ones which are not responsible for the cross
peak) in situations when cross peaks are not overlapped. Accurate
determination of active coupling constants is possible, e.g., through
a comparison of in-phase and antiphase signals, obtained from COSY
and TOCSY (total correlation spectroscopy) spectra, respectively.[6,7] Information about small coupling constants can also be obtained
by monitoring the time evolution of scalar coupling. Typically a 2D
experiment is recorded with different scalar J-coupling
evolution times and coupling constants obtained by fitting the signal
intensity as a function of the J-evolution time.[8] Other experiments used for measuring small homonuclear
couplings are the HNHA,[9] which is used
for 3JHNα in 15N labeled proteins or the J-doubling method.[10] For easier access to small scalar coupling constants,
several techniques for J-upscaling in the indirect
dimension of 2D experiments have been reported.[11,12] Hosur et al. described J-upscaled 2D COSY spectra,
where J-coupling evolution is enhanced compared to
chemical-shift evolution in ω1.[11,13] This is achieved by an additional period after the evolution time,
which only allows scalar coupling but not chemical-shift evolution. J-upscaling of COSY spectra in ω1 not only
yields increased resolution for the measurement of coupling constants
in the indirect dimension but also has the potential to enhance the
sensitivity by reducing signal cancelation of antiphase signals. All
these approaches for J-upscaling can only be applied
in the indirect dimension of 2D or multidimensional experiments, where
the resolution is limited by the acquired number of increments. The
resolution achievable by upscaling of homonuclear J-coupling in the indirect dimension of multidimensional NMR spectra
depends mainly on the number of increments used. Therefore, high resolution
is traded for long measurement times. While homonuclear J-scaling has only been described for the lower resolution indirect
dimension of NMR spectra, real-time chemical-shift (δ) scaling
was described many years ago.[14] It has
been used frequently for solid-state NMR[15] and occasionally for liquid-state applications.[14,16] Downscaling of chemical shifts, which can be achieved by successive
refocusing of chemical-shift evolution between the acquisition of
individual FID data points, has been used mainly to manipulate the
spectra of dynamic systems. It is not possible to upscale chemical
shifts or scalar coupling by manipulation between individual data
points since their evolution cannot be made faster than it is. Here
we present an approach which yields real-time J-upscaled
NMR spectra. This is achieved by the insertion of periods of scalar
coupling, but not chemical-shift evolution within the data accumulation.
The ratio between chemical-shift and scalar coupling evolution can
be modulated, by an arbitrary factor λ, during interruption
periods of the acquisition.[17] The maximum
upscaling factor is determined by the transverse relaxation. Real-time J-upscaling not only can be used for (single scan) 1D proton
spectra but also can be employed in the direct dimension of any 2D
or multidimensional experiment. Since chemical-shift evolution is
not affected by the presented scheme, the individual data blocks can
simply be concatenated during the acquisition. Therefore, there is
no special data processing necessary, and the resulting FID can be
processed like any other regular 1D or multidimensional NMR experiment.
Real-time J-upscaling not only expands scalar coupled
signals but also enhances the resolution of multiplets by lowering
the effective transverse relaxation during acquisition interruptions,
thereby allowing the direct visualization of small couplings which
are hidden in the line shape of a regular spectrum. In addition, it
allows enhanced J-evolution during short acquisition
times, as needed for heteronuclear decoupled experiments, like HSQCs.[18]
Theoretical Basis
In order to increase
scalar coupling, but leave chemical-shift
evolution unchanged, it is necessary to allow for a period of scalar
coupling, but not chemical-shift evolution. This is rather easily
implemented in the indirect dimension of multidimensional experiments.
However, it is not possible to use this approach during a regular
data acquisition, i.e., within the dwell time. Therefore, our real-time
upscaling approach relies on a combination of FID blocks, which are
interrupted by periods of scalar coupling but not chemical-shift evolution.
A somewhat related, real-time FID interruption scheme has been employed
for homonuclear broadband decoupling (pure-shift) experiments[17,19−21] and for long-observation-window band-selective decoupling
during acquisition.[22] The pulse sequence
is shown in Figure 1.
Figure 1
Pulse sequences used
for real-time J-upscaling
of (a) regular 1D spectra and (b) a 1D selective TOCSY. Thin and thick
black rectangles are nonselective 90° and 180° pulses, respectively.
A selective 180° pulse is indicated by a white half ellipse.
The following phase cycles were used: (a) ϕ1 = x, −x, −x, x, y, −y, −y, y; ϕ2 = x, −x; ϕ3 = −x, x; ϕrec = x, −x, −x, x, y, −y, −y, y; (b) ϕ1 = x, −x; ϕ2 = x; ϕ3 = x, x, −x, −x; ϕ4 = −x, −x, x, x; ϕrec = x, −x. The evolution
of chemical shift (CS) and scalar coupling (J) is
illustrated in part a. During the actual data acquisition both chemical
shift and scalar coupling evolve. In the middle of the interruption
delay chemical-shift evolution is refocused.
Pulse sequences used
for real-time J-upscaling
of (a) regular 1D spectra and (b) a 1D selective TOCSY. Thin and thick
black rectangles are nonselective 90° and 180° pulses, respectively.
A selective 180° pulse is indicated by a white half ellipse.
The following phase cycles were used: (a) ϕ1 = x, −x, −x, x, y, −y, −y, y; ϕ2 = x, −x; ϕ3 = −x, x; ϕrec = x, −x, −x, x, y, −y, −y, y; (b) ϕ1 = x, −x; ϕ2 = x; ϕ3 = x, x, −x, −x; ϕ4 = −x, −x, x, x; ϕrec = x, −x. The evolution
of chemical shift (CS) and scalar coupling (J) is
illustrated in part a. During the actual data acquisition both chemical
shift and scalar coupling evolve. In the middle of the interruption
delay chemical-shift evolution is refocused.Real-time J-upscaling happens exclusively
during
the acquisition. The FID is divided into individual blocks. These
so-called “data chunks” are approximately 10–20
ms long (t1/n). After
each chunk, the acquisition is interrupted for a total duration of
2τ. Evolution of the chemical shift as well as coupling is active
during t1/n + τ.
A hard 180° pulse then refocuses only the evolution of chemical
shift but not scalar coupling. After a second 180° pulse, which
turns the evolution of chemical shifts again in the correct direction,
the product operators after one complete chunk plus interruption delay,
for a weakly coupled 2-spin system, arewhere t1/n is the duration of one acquisition block and 2τ
the delay time. Therefore, scalar coupling evolution is active during
(t1/n) + 2τ, while
chemical shifts evolve only during t1/n. This leads to enhanced scalar coupling evolution, which
is scaled by λ according towhere λ is the scaling factor
of the
coupling constant and Jeff the upscaled J-value. It is important that scalar coupling evolution
is not substantial during the data chunk in order to prevent the formation
of scaling artifacts. Scalar coupling evolves with sin(πJt). A single 5 Hz coupling needs 100 ms to evolve completely
into antiphase magnetization. Therefore, chunking times on the order
of 10–20 ms are suitable to prevent excessive scalar coupling
evolution. We have found that using a shorter first FID block can
significantly reduce chunking artifacts. Real-time J-upscaling not only yields stretched multiplets but also increases
the resolution of scalar couplings. One might think that by this technique
the line width, as well as the coupling, is increased by the same
factor resulting in no net advantage with respect to resolution. However,
line-broadening by magnetic field inhomogeneities is refocused during
2τ by the central 180° pulse, and thereby reduces the effective
transverse relaxation during the interruption to T2, rather than T2*. This leads
to increasing coupling resolution by increasing scaling factors. The
line width of the resulting spectrum is of course increased. The effective
relaxation is T2* + (λ –
1)T2. Therefore, the line width at half
height can be approximated by ν1/2 = (1/(π(T2* + (λ – 1)T2))).The maximum upscaling factor is determined by T2 relaxation and the amount of scalar coupling
evolution
during 2τ. Significant relaxation losses during the acquisition
interruption give rise to steps in the resulting FID, which produce
symmetric artifacts in the upscaled spectrum. Similarly, steps in
coupling evolution are formed during longer interruptions. Both limitations
result in practicable maximum upscaling factors of approximately 10–15.
In general, for any given total acquisition time, longer chunking
times yield narrower line widths in the upscaled spectra, which result
from the smaller number of interruptions and therefore fewer overall
relaxation losses. On the other hand, high multiplicities and/or large
coupling constants lead to significant J-evolution
during the interruption, which also manifests itself, besides in decoupling
sidebands, in smaller signal intensity of outer multiplet components.
Upscaling sidebands which result from relaxation and coupling evolution
during the interruption are found at 1/(t1/n) from the respective signal. Therefore, they
can be partially averaged by variation of the chunking length between
individual scans. Randomization of t1/n by ∼20% is sufficient for artifact suppression
for chunking times between 10 and 20 ms as found empirically. It should
be mentioned that, in contrast to pure-shift spectra, which employ
real-time data chunking during acquisition,[17,19,20] there is no significant sensitivity penalty
for real-time J-upscaling. Real-time pure-shift spectra
employ spatially selective excitation or a BIRD filter, both of which
significantly reduce the sensitivity. The sensitivity of J-upscaled spectra is reduced by the increased line width of the signals
as a result of relaxation during the interruptions of the FID. This
can also be described as the FID being sampled only at certain time
points, depending on the upscaling factor. Therefore, the sensitivity
is reduced by approximately √λ. The exact reduction depends
on T2 and T2*. Real-time J-upscaling can be used during the
acquisition in any kind of 1D, 2D, or multidimensional experiment.
It could be combined with fast NMR methods, such as nonuniform sampling,[23] covariance processing,[24] SOFAST-HMQCs,[25] or ASAP-HSQC.[26] Since J-upscaling yields broader
multiplets and therefore less well-resolved spectra, selective excitation
could be used prior to acquisition in order to prevent a detected
signal from becoming overlapped upon upscaling. Similarly, e.g., a
1D selective TOCSY experiment can be used to reduce the number of
detected signals (Figure 1b). The determination
of J-values can be difficult in highly overlapped
regions of the proton spectrum. Homonuclear correlated spectra often
do not provide the required resolution to separate such signals. On
the other hand HSQC spectra do not provide enough resolution in the
direct dimension for the determination of scalar coupling constants.
This is because the acquisition time is limited to ∼200 ms
to prevent extensive heating by proton broadband decoupling during
acquisition.[27] Here, J-upscaling enables scalar coupling constants to be determined even
with the necessarily short acquisition times.
Results and Discussion
As a first example of real-time J-upscaling, its
effect on the proton spectrum of n-propanol is shown in Figure 2. A close-up image of the central CH2 group displays an apparent sextet induced by scalar coupling to
the neighboring CH2 and CH3 groups, implying
similar J-values for both couplings. However, if
scalar coupling is increased by J-upscaling, additional
splittings appear due to slightly different coupling constants for
the CH2 and CH3 groups. In the upscaled spectrum
with λ = 7, this difference is 5.5 Hz, which corresponds to
a J-value difference of ∼0.8 Hz for the CH2 and CH3 groups. This is in good agreement with
the difference obtained for both values using the 1D real-time SERF
(selective refocusing) experiment.[28] It
would be impossible to measure this scalar coupling difference from
a regular 1D spectrum, where the spectral line width is on the order
of approximately 1 Hz. Upscaling leads to an effectively increased
resolution (r) for scalar coupling constant determination.
For example, 7-fold J-upscaling yields an increase
in line width by a factor of only 2.2 (from 0.8 to 1.8 Hz) and therefore
an effective resolution enhancement for J-couplings
of 3.1 for this signal.
Figure 2
Regular 1D 1H spectrum of propanol
in DMSO-d6 together with a close-up image
of the central CH2 group data (1.42 ppm) and the same signal J-upscaled by a factor of 4 and 7. The J-scaling
factor λ is indicated for each peak, together with the line
width at half height w and the relative resolution
enhancement r, which describes λ/w relative to 1/w for the regular proton spectrum.
For all spectra, 32k data points were recorded for a spectral width
of 8 kHz. For the J-upscaled spectra, 100–200
loops of 10–20 ms were added.
Regular 1D 1H spectrum of propanol
in DMSO-d6 together with a close-up image
of the central CH2 group data (1.42 ppm) and the same signal J-upscaled by a factor of 4 and 7. The J-scaling
factor λ is indicated for each peak, together with the line
width at half height w and the relative resolution
enhancement r, which describes λ/w relative to 1/w for the regular proton spectrum.
For all spectra, 32k data points were recorded for a spectral width
of 8 kHz. For the J-upscaled spectra, 100–200
loops of 10–20 ms were added.For more elaborate coupled multiplets and/or smaller coupling
constants,
larger scaling factors might be needed. Up to 12-fold J-upscaling has been used for the determination of all (3-, 4-, and
5-bond) homonuclear coupling constants of nicotinic acid in Figure 3. Most impressively, the signal of H-2, which looks
like a distorted triplet in a regular 1H NMR spectrum,
is resolved into a double triplet with actual coupling constants of
1.9 (doublet) and 0.8 Hz (triplet). Even splittings of 0.8 Hz are
almost baseline separated in the 12-fold upscaled spectrum, and the
distance between the two central peaks is 2.4 Hz, corresponding to
an actual separation of just 0.2 Hz.
Figure 3
Regular 1D 1H spectrum of nicotinic
acid in DMSO-d6 together with close-up
views of all peaks
with upscaling factors of up to 12-fold. All 3-, 4-, and 5-bond coupling
constants could be obtained from the upscaled spectra and are indicated.
For the regular 1H spectrum 128k data points were recorded,
and 32k for all J-upscaled spectra. The number of
loops n was between 60 and 100 for upscaling between
λ = 3 and 12, respectively. This corresponds to chunking times t1/n between 11 and 19 ms.
Regular 1D 1H spectrum of nicotinic
acid in DMSO-d6 together with close-up
views of all peaks
with upscaling factors of up to 12-fold. All 3-, 4-, and 5-bond coupling
constants could be obtained from the upscaled spectra and are indicated.
For the regular 1H spectrum 128k data points were recorded,
and 32k for all J-upscaled spectra. The number of
loops n was between 60 and 100 for upscaling between
λ = 3 and 12, respectively. This corresponds to chunking times t1/n between 11 and 19 ms.A comparison of the H-2 signal,
drawn with the same overall width
for direct evaluation of the improvement in resolution, can be found
in the Supporting Information. A quantitative
demonstration of this resolution enhancement, which results from the
removal of magnetic field inhomogeneity broadening during the acquisition
interruptions, is given in Figure S3 (Supporting
Information) for an extensively shimmed CHCl3 spectrum.
This example also shows the signal intensity reduction, which depends
on the scaling factor λ as well as T2 and T2*. Upscaling of signals which
are in the spectral vicinity of other resonances leads inevitably
to a greater chance of multiplets becoming overlapped, which is evident
for the signals of H-4 and H-6. In such situations a desired signal
can be selectively excited before the start of the acquisition. In
the regular proton NMR spectrum of azithromycin in CDCl3 (Figure 4) the H-2′ signal at 3.24
ppm is well-separated from other signals. However, upon J-upscaling nearby peaks would get overlapped. By using selective
excitation of H-2′, no interfering signals are retained in
the spectrum, and a more accurate measurement of the coupling constants
is possible.
Figure 4
Structure of azithromycin with its numbering scheme and
the region
around H-2′ in a regular 1D 1H NMR spectrum in CDCl3 (red), together with various H-2′ selectively excited, J-upscaled spectra. For the regular spectrum 32k data points,
16 scans, and a spectral width of 8 kHz were used, while 144 scans
were accumulated for the upscaled spectra, with otherwise identical
acquisition parameters. All spectra were processed with a 0.1 Hz exponential
window function. It is possible to measure J without
overlapping nearby signals.
Structure of azithromycin with its numbering scheme and
the region
around H-2′ in a regular 1D 1H NMR spectrum in CDCl3 (red), together with various H-2′ selectively excited, J-upscaled spectra. For the regular spectrum 32k data points,
16 scans, and a spectral width of 8 kHz were used, while 144 scans
were accumulated for the upscaled spectra, with otherwise identical
acquisition parameters. All spectra were processed with a 0.1 Hz exponential
window function. It is possible to measure J without
overlapping nearby signals.When the signal of interest is already hidden in an overcrowded
spectral region, one can for example use a 1D selective COSY or TOCSY
experiment prior to upscaling. In a selective TOCSY experiment, only
the protons within the same spin system of the excited nucleus can
be detected. The 1H spectrum (Figure 5, red) of azithromycin in CDCl3 is quite complicated in
crowded areas. This approach of a J-upscaled selective
1D TOCSY has been applied to obtain coupling constants of protons
close to H-5″ (4.11 ppm). After selective excitation of H-5″
the magnetization gets transferred only to other protons: those at
1.35 (H-6″), 2.16 (H-4″OH), and 3.05 ppm (H-4″).
For H-4″ an additional splitting is found. Instead of an apparent
triplet, the signal turns out to be a double doublet. In spectra where
spectral crowding is not limiting, J-upscaling helps
in visualizing scalar coupling constants that are otherwise hidden
in the line width. On the other hand, enlarging scalar couplings also
enables their determination in situations where the spectral resolution
is limited. An example is the 2D 1H,13C HSQC,
where carbon broadband decoupling is used during detection in order
to remove 1JHC couplings. In
order to prevent damage to the NMR probe, acquisition times need to
be kept short (∼200 ms), which significantly reduces the resolution
in the HSQC spectra and typically allows extraction of only very large
couplings. With J-upscaling it is now possible to
increase the splittings in the direct dimension and allow the determination
of J-values for signals which are heavily overlapped
in proton spectra. Additionally, during the interruption delays used
for scaling, carbon decoupling can be switched off, leading to a reduction
of probe stress and sample heating. As an example, a regular HSQC
(Figure 6, blue) of azithromycin is compared
with two upscaled HSQCs (red λ = 3 and green λ = 6). Coupling
constants are most easily extracted from 1D traces, which are shown
in Figure 6.
Figure 5
Regular 1D spectrum of azithromycin (50
mg/mL) in CDCl3 is drawn in red. J-upscaled
selective TOCSY spectra
(excitation at 4.11 ppm) of azithromycin are shown in blue (λ
= 2) and purple (λ = 4). A TOCSY spin lock (MLEV17) with a duration
of 150 ms was used. Additionally, a portion of the region between
2.90 and 3.20 ppm is enlarged to see how a double doublet emerges
from an overlapped triplet.
Figure 6
Close-up
image of the region between 55 and 110 ppm (13C) and between
1.5 and 6 ppm (1H) of a regular HSQC of
azithromycin in CDCl3 is shown in blue. The 3-fold J-upscaled HSQC is shown in red and the 6-fold J-upscaled version in green. For all spectra data matrices of 1024
× 64 data points were recorded with 72 scans each. The spectral
widths were 4 kHz (1H) × 21 kHz (13C).
For λ = 3 the data chunks had a length of around 9 ms, and for
λ = 6 the data chunks were ∼5 ms. All HSQCs were processed
with sine square 90° window function after 3-fold zero filling
along the direct dimension and zero filling to 256 points and the
same window function in the indirect dimension. All peaks visible
in this figure are multiplet components.
Regular 1D spectrum of azithromycin (50
mg/mL) in CDCl3 is drawn in red. J-upscaled
selective TOCSY spectra
(excitation at 4.11 ppm) of azithromycin are shown in blue (λ
= 2) and purple (λ = 4). A TOCSY spin lock (MLEV17) with a duration
of 150 ms was used. Additionally, a portion of the region between
2.90 and 3.20 ppm is enlarged to see how a double doublet emerges
from an overlapped triplet.Additional homonuclear splittings are found for every signal
in
the J-upscaled HSQC. For example the signal of H-5″,
which looks like a singlet in the regular HSQC, is visible as a double
quartet, with coupling constants of 9.5 and 6.2 Hz in the 6-fold upscaled
HSQC. These couplings are to protons 4″ and 6″, respectively.Close-up
image of the region between 55 and 110 ppm (13C) and between
1.5 and 6 ppm (1H) of a regular HSQC of
azithromycin in CDCl3 is shown in blue. The 3-fold J-upscaled HSQC is shown in red and the 6-fold J-upscaled version in green. For all spectra data matrices of 1024
× 64 data points were recorded with 72 scans each. The spectral
widths were 4 kHz (1H) × 21 kHz (13C).
For λ = 3 the data chunks had a length of around 9 ms, and for
λ = 6 the data chunks were ∼5 ms. All HSQCs were processed
with sine square 90° window function after 3-fold zero filling
along the direct dimension and zero filling to 256 points and the
same window function in the indirect dimension. All peaks visible
in this figure are multiplet components.The usefulness of scalar coupling determination from J-upscaled HSQCs is even more important for molecules with
highly
overlapped proton spectra. Figure 7a shows
a regular 1D spectrum of cholic acid, where only 3 peaks (H-2, H-3,
and H-7) are well-resolved. The remaining 27 peaks are all crowded
in the area between 0.5 and 2.5 ppm. Homonuclear-correlated 2D spectra
would not be sufficient to determine all coupling constants. Carbon-correlated
2D spectra provide the necessary resolution to separate the individual
proton signals. A comparison of a regular and a 6-fold J-upscaled HSQC of cholic acid in methanol-d4 is shown in Figure 7. From the J-upscaled HSQC, coupling constants could be obtained for
all signals. A few representative traces from the regular and 6- or
9-fold upscaled HSQCs are shown in Figure 7c–e. The signal of H-9 appears to be a triplet in the trace
extracted from the regular HSQC, but can be identified as a double
triplet in the 9-fold upscaled HSQC. Upscaled homonuclear 1H coupling constants of 78 Hz (triplet) and 103 Hz (doublet) are
obtained which correspond to actual J-values of 8.6
and 11.4 Hz, respectively. The larger trans coupling of 11.4 Hz is
also found in the upscaled peak of H-8 (see Figure 5e), leaving the triplet with J = 8.6 Hz to
the CH2 group at C-11. The remaining couplings of ∼11.4
and 3 Hz for H-8 must then be to H-14 and H-7, respectively. The larger
one is again found in the upscaled trace of H-14 (Figure 7d). The missing 3 Hz coupling to H-7 can be confirmed
by a regular 1D spectrum since this peak is well-isolated. In these
examples we have used rather large scaling factors for an accurate
determination of J-values. Sometimes the differentiation
between small and large couplings might be needed, and therefore,
smaller scaling factors would be sufficient. While upscaling of J-couplings enables their simplified extraction from 1D
spectra as well as the direct dimension of 2D or multidimensional
experiments, it should also be noted that upscaling of strongly coupled
signals could introduce artifacts if the duration between the 180°
pulses during the interrupted acquisition is shorter than the difference
in signal offsets.[29] This would be the
case for small scaling factors and relatively strong coupling. On
the other hand, J-upscaling of weakly and moderately
strongly coupled signals is possible even when the signals become
overlapped. During the actual recording of the FID, the coupling is
not stronger. An example of such extreme J-upscaling
that leads to overlapped doublets is shown in the Supporting Information.
Figure 7
(a) Regular 1D spectrum of cholic acid (10 mg in methanol-d4), recorded with 16 scans, 32 768 data
points, and a spectral width of 8000 Hz. (b) A regular HSQC spectrum
without J-scaling (λ = 1), 128 increments with
16 scans each, and 512 data points in the direct dimensions. The spectral
widths of direct and indirect dimensions are 1500 × 6290 Hz.
(f) A J-upscaled HSQC with λ = 6 and the same
spectral parameters as in part b but double the number of scans. (c–e)
1D extracts of one particular signal, as indicated in red from a regular
spectrum and in blue from a J-upscaled HSQC. The
signal indicated by an asterisk is from a λ = 9 HSQC to resolve
the splittings completely.
Conclusion
We
have presented a method for real-time J-upscaling
of NMR spectra by successive interruption of the FID for additional
scalar coupling evolution. This approach not only simplifies the extraction
of J-values from the acquisition dimension of NMR
experiments but also actually visualizes splittings which are hidden
within the line width of regular NMR spectra. The improved resolution
is a result of removing the effect of magnetic field inhomogeneities
during periods of pure scalar coupling evolution. Besides the resolution
advantage for determining unresolved couplings, J-upscaling also enables the determination of coupling constants from
spectra acquired with limited acquisition time, as are encountered
in heteronuclear correlated spectra that employ proton broadband decoupling
during acquisition.(a) Regular 1D spectrum of cholic acid (10 mg in methanol-d4), recorded with 16 scans, 32 768 data
points, and a spectral width of 8000 Hz. (b) A regular HSQC spectrum
without J-scaling (λ = 1), 128 increments with
16 scans each, and 512 data points in the direct dimensions. The spectral
widths of direct and indirect dimensions are 1500 × 6290 Hz.
(f) A J-upscaled HSQC with λ = 6 and the same
spectral parameters as in part b but double the number of scans. (c–e)
1D extracts of one particular signal, as indicated in red from a regular
spectrum and in blue from a J-upscaled HSQC. The
signal indicated by an asterisk is from a λ = 9 HSQC to resolve
the splittings completely.
Experimental Section
All experiments
were carried out on a Bruker Avance III 500 MHz
spectrometer using a 5 mm TCI probe with z-axis gradients
at 298 K. All chemicals were purchased from Sigma-Aldrich (St. Louis,
MO) at >98% purity. No window functions were used for regular (nonscaled)
proton spectra, and exponential line-broadening with 0.2 Hz was used
for all upscaled spectra. Gradient shimming was used throughout. For
the selective TOCSY spectrum, an 80 ms reBURP 180° pulse was
used for selective excitation, and the TOCSY mixing time was 150 ms.
The number of data chunks n depends on the total
acquisition time and the desired chunking time. The pulse sequence
for the 1D J-upscaled experiment in Bruker format
is available in the Supporting Information and can be obtained from the authors upon request.
Authors: Paul W Coote; Scott A Robson; Abhinav Dubey; Andras Boeszoermenyi; Mengxia Zhao; Gerhard Wagner; Haribabu Arthanari Journal: Nat Commun Date: 2018-08-01 Impact factor: 14.919
Authors: Christoph Nusshold; Andreas Üllen; Nora Kogelnik; Eva Bernhart; Helga Reicher; Ioanna Plastira; Toma Glasnov; Klaus Zangger; Gerald Rechberger; Manfred Kollroser; Günter Fauler; Heimo Wolinski; Babette B Weksler; Ignacio A Romero; Sepp D Kohlwein; Pierre-Olivier Couraud; Ernst Malle; Wolfgang Sattler Journal: Free Radic Biol Med Date: 2015-11-11 Impact factor: 7.376