Abstract:Magnetic resonance spectroscopy and imaging experiments in which spatial dynamics (diffusion and flow) closely coexists with chemical and quantum dynamics (spin-spin couplings, exchange, cross-relaxation, etc.) have historically been very hard to simulate - Bloch-Torrey equations do not support complicated spin Hamiltonians, and the Liouville-von Neumann formalism does not support explicit spatial dynamics. In this paper, we formulate and implement a more advanced simulation framework based on the Fokker-Planc… Show more
“…All the simulations were carried out with the spinach software library [29], implemented in matlab; version 2.3 was used. spinach uses the Fokker-Planck formalism to account simultaneously for spin and spatial variables, and provides an efficient tool for the simulation of ultrafast NMR experiments [30,31], including relaxation and diffusion effects. The details of the simulation framework are not described here and can be found in Refs [30,31].…”
Ultrafast NMR based on spatial encoding yields arbitrary multidimensional spectra in a single scan. The dramatic acceleration afforded by spatial parallelisation makes it possible to capture transient species and processes, and has notably been applied to the monitoring of reactions and the analysis of hyperpolarised species. At the heart of ultrafast NMR lies the spatially sequential manipulation of nuclear spins. This is virtually always achieved by combining a swept radio-frequency pulse with a magnetic field gradient pulse. The dynamics of nuclear spins during these pulse sequence elements is key to understand and design ultrafast NMR experiments, and can often be described by surprisingly simple models. This article describes the spatial encoding of relaxation, chemical shift and diffusion in a common framework and discusses directions for future developments.
“…All the simulations were carried out with the spinach software library [29], implemented in matlab; version 2.3 was used. spinach uses the Fokker-Planck formalism to account simultaneously for spin and spatial variables, and provides an efficient tool for the simulation of ultrafast NMR experiments [30,31], including relaxation and diffusion effects. The details of the simulation framework are not described here and can be found in Refs [30,31].…”
Ultrafast NMR based on spatial encoding yields arbitrary multidimensional spectra in a single scan. The dramatic acceleration afforded by spatial parallelisation makes it possible to capture transient species and processes, and has notably been applied to the monitoring of reactions and the analysis of hyperpolarised species. At the heart of ultrafast NMR lies the spatially sequential manipulation of nuclear spins. This is virtually always achieved by combining a swept radio-frequency pulse with a magnetic field gradient pulse. The dynamics of nuclear spins during these pulse sequence elements is key to understand and design ultrafast NMR experiments, and can often be described by surprisingly simple models. This article describes the spatial encoding of relaxation, chemical shift and diffusion in a common framework and discusses directions for future developments.
“…These effects were further investigated by simulation using the Spinach software package and, in particular, the recently introduced modules to deal with spatial encoding. [21,22] To keep the simulation time to a minimum, we simulated the isolated proton spin system on the right hand side of the molecule, which contains observable couplings in the COSY spectrum arising from 2 J, 3 J, 4 J, and 6 J couplings (see Figure 1). Where values for the relevant coupling constants could be easily measured from the onedimensional proton spectrum, these were used in the simulations.…”
Recent developments in data sampling and processing techniques have made it possible to acquire 2-dimensional NMR spectra of small molecules at digital resolutions in both dimensions approaching the intrinsic limitations of the equipment and sample on a realistic timescale. These developments offer the possibility of enormously increased effective resolution (peak dispersion) and the ability to effectively study samples where peak overlap was previously a limiting factor. Examples of such spectra have been produced for a number of 2-dimensional techniques including TOCSY and HSQC. In this paper, we investigate some of the problems in applying such techniques to COSY spectra and suggest a modification to the classic experiment that alleviates some of these problems.
“…Time domain NMR simulation packages solve Liouville ‐ von Neumann's equation (the equivalent of Schrödinger's equation for spin ensembles) and calculate the observable magnetisation at each point in time: where is a vector that contains information about spin system state, is a matrix, called Liouvillian, that depends on things such as J ‐couplings and relaxation rates, and is the observable magnetisation projector. To a computer, Equation looks like standard linear algebra; it is solved by calculating the exponential of : Technical details may be found in more specialised reviews of magnetic resonance simulation methods . Spinach is designed to automate this process: the user specifies the spin system and the experiment parameters, and receives a free induction decay at the end of the calculation.…”
Section: What Does Nmr Simulation Software Do?mentioning
confidence: 99%
“…Many packages can generate a reasonable likeness of a 1D NMR spectrum for large spin systems, but complicated combinations of multidimensional pulse sequences, advanced relaxation and kinetics treatments, shaped pulses and gradients, diffusion, and flow are only available in Spinach . This is the result of very recent theoretical developments, the primary ones being quantum mechanical simulation algorithms that have much lower computational resource requirements than anything previously available, and the Fokker–Planck equation for the spatial degrees of freedom …”
Liquid state nuclear magnetic resonance is the only class of magnetic resonance experiments for which the simulation problem is solved comprehensively for spin systems of any size. This paper contains a practical walkthrough for one of the many available simulation packages — Spinach. Its unique feature is polynomial complexity scaling: the ability to simulate large spin systems quantum mechanically and with accurate account of relaxation, diffusion, chemical processes, and hydrodynamics. This paper is a gentle introduction written with a PhD student in mind.
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