Most interesting problems in chemistry, biology, and pharmacy involve mixtures. However, analysis of such mixtures by NMR remains a challenge, often requiring the mixture components to be physically separated before analysis. A variety of methods have been proposed that exploit species-specific properties such as diffusion and relaxation to distinguish between the signals of different components in a mixture without the need for laborious separation. However, these methods can struggle to distinguish between components when signals overlap. Here, we exploit the relaxation properties of selected nuclei to distinguish between different components of a mixture while using pure shift methods to increase spectral resolution by up to an order of magnitude, greatly reducing signal overlap. The advantages of the new method are demonstrated in a mixture of d-xylose and l-arabinose, distinguishing unambiguously between the five major species present.
Most interesting problems in chemistry, biology, and pharmacy involve mixtures. However, analysis of such mixtures by NMR remains a challenge, often requiring the mixture components to be physically separated before analysis. A variety of methods have been proposed that exploit species-specific properties such as diffusion and relaxation to distinguish between the signals of different components in a mixture without the need for laborious separation. However, these methods can struggle to distinguish between components when signals overlap. Here, we exploit the relaxation properties of selected nuclei to distinguish between different components of a mixture while using pure shift methods to increase spectral resolution by up to an order of magnitude, greatly reducing signal overlap. The advantages of the new method are demonstrated in a mixture of d-xylose and l-arabinose, distinguishing unambiguously between the five major species present.
NMR spectroscopy offers unparalleled
insights into the structures and dynamics of molecules. However, analysis
of mixtures, especially in one-dimensional (1D) NMR, can be challenging.
In 1H spectra, the narrow chemical shift range and prominent
signal multiplicity often cause signals to overlap, complicating analysis.
Two-dimensional (2D) techniques such as COSY,[1] HSQC,[2] and TOCSY[3] can alleviate some of the spectral overlaps, making structural information
more accessible but still struggle in complicated spin systems and
mixtures. For example, determining the number of species present in
a mixture can be laborious at best and often impossible using these
methods. Here, a new method is described that exploits relaxation
labeling of spin systems to distinguish the signals of individual
species in mixtures.One powerful technique that can be used
to determine the number
of species present in a mixture is diffusion NMR, where differences
in self-diffusion rates between species are exploited to distinguish
between their signals.[4] This method is
useful in mixtures where there are significant differences in diffusion
coefficient between components and where signals do not overlap in
the NMR spectrum. However, diffusion experiments are of limited value
in cases where diffusion coefficients are similar (e.g., for isomers).In 2017, a new experiment, relaxation-encoded selective TOCSY (REST),[5] was proposed that sought to tackle this limitation
of diffusion NMR experiments by exploiting relaxation instead of diffusion.
Each spin in a molecule experiences different local magnetic fields,
produced by interactions with surrounding nuclei and electrons, causing
different relaxation rates. Each signal in a spectrum, therefore,
will, in general, have a different relaxation rate. Using the same
logic as diffusion-ordered spectroscopy (DOSY),[6] a relaxation-ordered (ROSY)[7] plot can be constructed in which signal amplitude is plotted as
a function of chemical shift and relaxation time or rate constant.[7] Such a spectrum would normally not identify different
signals that belong to the same molecule since they will, in general,
all have different relaxation times. However, in REST experiments,
the relaxation weighting of selected coherences is propagated throughout
entire spin systems so that each signal within a given spin system
acquires the same relaxation weighting. Generating a ROSY plot then
allows signals that are part of the same spin system to be identified,
as their peaks align at the same relaxation time/rate, just as the
peaks align at the same diffusion coefficient in a DOSY spectrum.Relaxation weighting can be achieved using methods such as inversion
recovery (IR)[8] for longitudinal T1 relaxation weighting and periodic refocusing
of J evolution by coherence transfer (PROJECT),[9] for transverse T2 relaxation. Fitting signal recovery (IR) or attenuation (PROJECT)
to an exponential allows the relaxation time constant to be determined
for each signal. Where there is little signal overlap, REST experiments
can prove very useful for distinguishing the signals of species that
have similar diffusion coefficients but differences in relaxation.[10] Here, the more difficult case where there is
substantial signal overlap in the conventional 1H spectrum
is attacked.The analysis of relaxation or diffusion data usually
requires the
assumption that each signal in a spectrum originates from a single
species, and hence that signal evolution in a relaxation or diffusion
experiment can be fitted to a monoexponential function (of time or
gradient amplitude squared, respectively). Where signals with different
relaxation/diffusion overlap, signal evolution will be multiexponential,
and fitting with a single exponential will give a compromise result.[10] Fitting to a biexponential function requires
excellent data quality and is only practical where the decay constants
differ substantially.[10,11] Other powerful post-acquisition
methods such as component resolution (CORE),[12] speedy component resolution (SCORE),[13] and optimized unmixing of true spectra for component resolution
(OUTSCORE)[14] extract component spectra
and decay constants from diffusion/relaxation data by exploiting the
fact that all non-exchanging signals from a given species show the
same diffusion coefficient or relaxation constant. However, even these
methods struggle in cases of severe signal overlap, large differences
in component concentration, or similar diffusion coefficient/decay
constant.One of the best ways to avoid multiexponential signal
decays is,
unsurprisingly, to avoid signal overlap by increasing the resolution
of the NMR spectrum. One way of increasing resolution is to use a
stronger magnetic field, but this can be very expensive and currently
has a physical limit of 28.2 Tesla (1.2 GHz 1H frequency)
for commercial instrumentation.[15] A more
accessible approach is to use pure shift NMR methods, which reduce
spectral complexity by suppressing the effects of homonuclear scalar
coupling (JHH).[16] Ideally, each chemical shift is then represented by a well-resolved
singlet. Such broadband homonuclear decoupling is typically achieved
by generating a time-domain signal in which JHH evolution is periodically refocused at a rate that is fast
compared to JHH, either in real time or
parameter-time. Pulse sequence elements that refocus homonuclear couplings
include the Zangger-Sterk (ZS),[17] pure
shift yielded by chirp excitation (PSYCHE),[18] and bilinear rotation decoupling (BIRD)[19] methods. Real-time (RT) methods[20] periodically
interrupt the measured FID with a suitable J-refocusing
element. Parameter-time methods[17] construct
a time-domain interferogram using a pseudo-2D experiment with a J-refocusing element at the midpoint of an evolution time t1.In the new method described here, the
PSYCHE element is used in
parameter-time acquisition experiments to achieve broadband homonuclear
decoupling in REST. The pure shift relaxation-encoded selective TOCSY
(PUREST) delivers a step-function improvement in the resolution of
the REST experiment, allowing for the analysis of very challenging
mixtures such as those of carbohydrates.
Results and Discussion
Xylose and arabinose are attractive sources for bio-based fuel
and chemical production and frequently occur as mixtures.[21] However, there is substantial signal overlap
in the 1H NMR spectrum of a mixture of d-xylose
and l-arabinose (Figure S3). In
the following, PUREST experiments are used to untwine the signals
of the five species present in this mixture. Figure compares the results of the previous REST-T1 and the new PUREST-T1 experiments, using IR for the relaxation weighting. The region
around 5 ppm was selected for relaxation encoding, and monoexponential
fitting was used (the relaxation times are too similar to be distinguished
with biexponential fitting, which could be an alternative for overlapping
signals in more favorable cases). This region contains the anomeric
signals of the pyranose forms of α-l-arabinose and
α-d-xylose and the furanose form of β-l-arabinose. In an ideal REST experiment, a ROSY plot would allow
the signals of the three spin systems to be clearly distinguished,
with three distinct rows of cross-peaks seen. However, in the region
3.2–3.8 ppm, there is substantial spectral overlap, and REST
(Figure a) struggles
to separate the signals. In the PUREST spectrum (Figure b), in contrast, the almost
complete elimination of signal overlap allows essentially perfect
separation of the signals of the three species. (The protons at position
5 in α-l-arabinose are not observed in either experiment
because the small JH4H5 limits the effectiveness
of the TOCSY transfer.)[22]
Figure 1
REST-T1 (left) and PUREST-T1 (right)
spectra for a solution of arabinose and xylose.
The top spectra correspond to the first increment in REST and PUREST,
respectively. The pulse sequence of Figure was used, with IR relaxation weighting.
The relaxation delay τ varied from 0.001 to 12 s in 16 steps.
Full experimental parameters are provided in the Supporting Information
(SI).
REST-T1 (left) and PUREST-T1 (right)
spectra for a solution of arabinose and xylose.
The top spectra correspond to the first increment in REST and PUREST,
respectively. The pulse sequence of Figure was used, with IR relaxation weighting.
The relaxation delay τ varied from 0.001 to 12 s in 16 steps.
Full experimental parameters are provided in the Supporting Information
(SI).
Figure 3
Pulse sequences for REST
(red box) and PUREST (green box) using
IR or PROJECT relaxation weighting and a PSYCHE J-refocusing element. The narrow black rectangles represent 90°
hard pulses, and the gray rectangles represent 180° hard pulses.
The shaped black pulse represents a 180° frequency-selective
refocusing pulse. The trapezoids with a single arrow represent chirp
ZQS pulses, and the trapezoids with double arrows represent low flip
angle (β) saltire chirp pulses. The light gray trapezoids indicate
field gradients; G3 is a homospoil gradient, and G1, G5, and G6 are used to enforce the
coherence transfer pathway. The wide gray rectangles indicate long,
weak rectangular gradient pulses. The truncated FID indicates interferogram
acquisition, in which a short chunk of data (duration 1/SW1) is acquired for each t1 increment.
The delay τ1 is set to 1/4SW1. Further
information is provided in the SI.
Figure compares
the results of the previous REST-T2 (Figure a) and the new PUREST-T2 (Figure b) experiments, using PROJECT[9] relaxation weighting in each case. REST-T2 allows most of the signals of the pyranose forms β-l-arabinose and β-d-xylose to be distinguished, but
the increase in the resolution in PUREST allows H3 and H4 (3.4 ppm)
of β-l-arabinose, which are overlapped in the REST
spectrum, to be resolved. In the case of H5, however, the near-exact
chemical shift degeneracy between β-l-arabinose and
β-d-xylose means that an intermediate value of T2 relaxation time is observed in both REST and
PUREST spectra.
Figure 2
Comparison of REST-T2 (left)
and PUREST-T2 (right) spectra measured
for the arabinose/xylose
mixture using the pulse sequence of Figure . PROJECT relaxation T2 weighting was used with 16 increments in the
relaxation domain, with loop count (n) varying from
10 to 120 and a delay τ of 3 ms. Full experimental parameters
are provided in the SI.
Comparison of REST-T2 (left)
and PUREST-T2 (right) spectra measured
for the arabinose/xylose
mixture using the pulse sequence of Figure . PROJECT relaxation T2 weighting was used with 16 increments in the
relaxation domain, with loop count (n) varying from
10 to 120 and a delay τ of 3 ms. Full experimental parameters
are provided in the SI.
Experimental Section
The pulse sequences used to obtain
the spectra in Figures and 2 are essentially modular, as shown in Figure . The first part
of the sequence only, boxed
in red, is used for the REST, and the full sequence is used for the
corresponding PUREST experiment. Each sequence begins with relaxation
weighting, i.e., inversion recovery (IR)[8] for REST-T1 and PROJECT[9] for REST-T2. Alternative weighting
elements can be used, such as saturation recovery for T1 or transverse relaxation unmodulated echo (TRUE)[23] for T2. Relaxation
weighting is followed by a selective TOCSY[24] element that combines a 180° selective refocusing pulse, a
zero quantum suppression (ZQS) element,[25] and DIPSI-2[26] isotropic mixing to propagate
the relaxation-encoded coherence of the selected spins across their
respective spin systems. The selective pulse can be used to select
a single spectral region with multiple spin systems, or to select
multiple regions (see Figure S4 in the
SI). As the signals for a given spin system all originate from the
magnetization of a single site (selected by the 180° selective
pulse), the same relaxation weighting is seen for all signals of a
given spin system. The IR relaxation weighting (Figure S1) uses an incremented τ delay; the PROJECT T2 weighting in Figure S2 uses a fixed τ delay and a variable loop count n. The echo time 4τ is short in comparison to 1/JHH to minimize homonuclear J-modulation
but long enough that sample heating is minimal. Although relaxation
weighting is used purely qualitatively in the examples shown, it is
possible to use it quantitatively if the recovery delay is sufficient.
It should be noted, however, that the presence of rapid convection
could lead to faster apparent relaxation rates as molecules move into
and out of the active volume. A simple and effective way to slow the
convection greatly is to use a smaller inside diameter NMR tube.[27,28] The PSYCHE J-refocusing element was used in the
PUREST experiments as it generally gives good sensitivity and spectral
purity. As PSYCHE is only viable in interferogram acquisition, this
was used here rather than real-time. The cost in acquisition time
was outweighed in this case by the substantial improvement in the
resolution. The greater speed of RT acquisition is attractive but
would require the use of a different pure shift element such as ZS
or BIRD. These elements were unsuitable in this case as ZS would cause
severe line broadening due to the long selective pulse durations required,
and BIRD would lead to a large sensitivity penalty.[16] In any pure shift experiment, a sample-dependent compromise
is necessary between sensitivity and spectral purity, and strong coupling
will inevitably degrade the latter to some extent.Pulse sequences for REST
(red box) and PUREST (green box) using
IR or PROJECT relaxation weighting and a PSYCHE J-refocusing element. The narrow black rectangles represent 90°
hard pulses, and the gray rectangles represent 180° hard pulses.
The shaped black pulse represents a 180° frequency-selective
refocusing pulse. The trapezoids with a single arrow represent chirp
ZQS pulses, and the trapezoids with double arrows represent low flip
angle (β) saltire chirp pulses. The light gray trapezoids indicate
field gradients; G3 is a homospoil gradient, and G1, G5, and G6 are used to enforce the
coherence transfer pathway. The wide gray rectangles indicate long,
weak rectangular gradient pulses. The truncated FID indicates interferogram
acquisition, in which a short chunk of data (duration 1/SW1) is acquired for each t1 increment.
The delay τ1 is set to 1/4SW1. Further
information is provided in the SI.All NMR spectra were recorded on a Bruker Avance
NEO 500 spectrometer
with a 5 mm TBI or BBO probe, with nominal maximum z-gradient strengths of 67 and 50 G cm–1, respectively.
The sample of d-xylose and l-arabinose was 500 mM
in each component, in DMSO-d6: D2O 4:1 v/v, with TSP added as a reference. T1 experiments were conducted at 280 K; experiment times for
REST-T1 and PUREST-T1 were 1 h 12 min and 8 h 57 min, respectively. T2 experiments were conducted at 303 K; experiment times
for REST-T2 and PUREST-T2 were 1 h 8 min and 11 h 40 min, respectively. All isotropic
mixing elements used DIPSI-2[18] with a duration
of 0.2 s. The spectral window in all cases was set to 5000 Hz (10
ppm). All ROSY spectra were produced using the general NMR analysis
toolbox (GNAT).[29] Further description of
the experimental procedure is provided in the SI.
Conclusions
An ultrahigh-resolution form of the REST
experiment, PUREST, using
pure shift methods to remove the effects of homonuclear scalar coupling,
has been developed and demonstrated. The method successfully disentangles
the proton NMR signals of all five major species present in a mixture
of xylose and arabinose. The increase in resolution in the frequency
domain obtained almost completely eliminates the ambiguity in the
relaxation domain caused by signal overlap. The price paid for the
very high resolution obtained is a somewhat longer acquisition time;
in applications with greater chemical shift differences between coupled
partners (allowing for short selective pulses to be used, reducing T2 losses), this could be avoided using Zangger-Sterk
real-time pure shift data acquisition. These experiments come with
a significant cost in sensitivity and may not be practical with low
concentration samples. Naturally, sensitivity would be greatly enhanced
using a high field instrument with a cryogenic probe. Alternatives
to pure shift REST include very selective 1D TOCSY,[30] e.g., using GEMSTONE,[31,32] and F1-pure shift TOCSY with very high F1 digitization.[33]
Authors: Maarten D Verhoeven; Sophie C de Valk; Jean-Marc G Daran; Antonius J A van Maris; Jack T Pronk Journal: FEMS Yeast Res Date: 2018-12-01 Impact factor: 2.796
Authors: Peter Kiraly; Nicolas Kern; Mateusz P Plesniak; Mathias Nilsson; David J Procter; Gareth A Morris; Ralph W Adams Journal: Angew Chem Int Ed Engl Date: 2020-11-09 Impact factor: 16.823