Photo-CIDNP NMR Spectroscopy of Amino Acids and Proteins

Kuhn, Lars T.

doi:10.1007/128_2013_427

Cited by 48 publications

(58 citation statements)

References 154 publications

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“…of NV centers in diamond, with many potential applications in sensing and quantum information processing [294][295][296]. Hyperpolarization techniques (also known as spin cooling), [297][298][299] can generate highly polarized non-thermal spin states. Hence, the relatively low sensitivity of NMR (due to the small magnetic moments of nuclear spins and the resulting weak thermal polarization) can be overcome by using a variety of approaches.…”

Section: Magnetic Resonancementioning

confidence: 99%

Training Schrödinger’s cat: quantum optimal control

et al. 2015

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Abstract. It is control that turns scientific knowledge into useful technology: in physics and engineering it provides a systematic way for driving a dynamical system from a given initial state into a desired target state with minimized expenditure of energy and resources. As one of the cornerstones for enabling quantum technologies, optimal quantum control keeps evolving and expanding into areas as diverse as quantumenhanced sensing, manipulation of single spins, photons, or atoms, optical spectroscopy, photochemistry, magnetic resonance (spectroscopy as well as medical imaging), quantum information processing and quantum simulation. In this communication, state-of-the-art quantum control techniques are reviewed and put into perspective by a consortium of experts in optimal control theory and applications to spectroscopy, imaging, as well as quantum dynamics of closed and open systems. We address key challenges and sketch a roadmap for future developments. ForewordThe authors of this paper represent the QUAINT consortium, a European Coordination Action on Optimal Control of Quantum Systems, funded by the European Commission Framework Programme 7, Future Emerging Technologies FET-OPEN programme and the Virtual Facility for Quantum Control (VF-QC). This consortium has considerable expertise in optimal control theory and its applications to quantum systems, both in existing areas, such as spectroscopy and imaging, and in emerging quantum technologies, such as quantum information processing, quantum communication, quantum simulation a e-mail: fwm@lusi.uni-sb.de and quantum sensing. The list of challenges for quantum control has been gathered by a broad poll of leading researchers across the communities of general and mathematical control theory, atomic, molecular-, and chemical physics, electron and nuclear magnetic resonance spectroscopy, as well as medical imaging, quantum information, communication and simulation. 144 experts in these fields have provided feedback and specific input on the state of the art, mid-term and long-term goals. Those have been summarized in this document, which can be viewed as a perspectives paper, providing a roadmap for the future development of quantum control. Because such an endeavour can hardly ever be complete (there are many additional areas of quantum control applications, such as spintronics, nano-optomechanical technologies etc.), this roadmap

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Section: Magnetic Resonancementioning

confidence: 99%

Training Schrödinger’s cat: quantum optimal control

et al. 2015

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“…4,11,40 However, as discussed above, it appears that the generator used here requires considerably longer to reach the equilibrium x pH2 at its operating temperature. To investigate how long the pH 2 generator takes to reach steady state, a series of at-line samples of H 2 gas were taken for Raman analysis over an 8 h time period.…”

Section: At-line and On-line Monitoring Of Generator Performancementioning

confidence: 76%

“…This value is very close to the expected equilibrium value of 25.1 % for H 2 at 294 K. Equilibrium values of x pH2 can be calculated using Boltzmann statistics. 1,3,11 For the pH 2 enriched sample, x pH2 was calculated as being 39.5 %. Whilst this shows some enrichment over the nH 2 sample, the enrichment is much lower than the 52.1 % expected at the 77 K operating temperature of the pH 2 generator.…”

Section: Raman Spectra Of Hydrogen Gasmentioning

confidence: 99%

“…However, as the conversion between oH 2 and pH 2 is forbidden, conversion between isomers is very slow unless a catalyst is used. [1][2][3][4][5] The pH 2 isomer is useful for a wide range of applications, including: liquid fuels, [6][7][8] matrix isolation spectroscopy, 9,10 certain hyperpolarisation methods for nuclear magnetic resonance (NMR) spectroscopy, 3,4,11,12 and as a moderator for spallation neutron sources. 13,14 For many of these applications the proportion of the pH 2 isomer is of vital importance.…”

Section: Introductionmentioning

confidence: 99%

“…7 For pH 2 based hyperpolarisation methods in NMR, the greater the level of pH 2 enrichment the greater the NMR signal enhancement. 4,11,15 Indeed various methods of generating high purity pH 2 for NMR studies have been reported, 15,16 and major NMR vendors also supply this type of specialised equipment. 17 The research group at the University of Strathclyde has an in-house built pH 2 generator, which is used to provide gaseous pH 2 for signal amplification by reversible exchange (SABRE) hyperpolarisation studies on a bench-top NMR spectrometer.…”

Section: Introductionmentioning

confidence: 99%

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Quantitative In Situ Monitoring of Parahydrogen Fraction Using Raman Spectroscopy

Parrott

Dallin²,

Andrews³

et al. 2018

Appl Spectrosc

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Raman spectroscopy has been used to provide a rapid, non-invasive and non-destructive quantification method for determining the parahydrogen fraction of hydrogen gas. The basis of the method is the measurement of the ratio of the first two rotational bands of hydrogen at 355 cm −1 and 586 cm −1 corresponding to parahydrogen and orthohydrogen, respectively. The method has been used to determine the parahydrogen content during a production process and a reaction. In the first example, the performance of an in-house liquid nitrogen cooled parahydrogen generator was monitored both at-line and on-line. The Raman measurements showed that it took several hours for the generator to reach steady state and hence, for maximum parahydrogen production (50 %) to be reached. The results obtained using Raman spectroscopy were compared to those obtained by at-line low-field NMR spectroscopy. While the results were in good agreement, Raman analysis has several advantages over NMR for this application. The Raman method does not require a reference sample, as both spin isomers (ortho and para) of hydrogen can be directly detected, which simplifies the procedure and eliminates some sources of error. In the second example, the method was used to monitor the fast conversion of parahydrogen to orthohydrogen in-situ. Here the ability to acquire Raman spectra every 30 s enabled a conversion process with a rate constant of 27.4 × 10 −4 s −1 to be monitored. The Raman method described here represents an improvement on previously reported work, in that it can be easily applied on-line and is approximately 500 times faster. This offers the potential of an industrially compatible method for determining parahydrogen content in applications that require the storage and usage of hydrogen.

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Photochemically Induced Dynamic Nuclear Polarization: Basic Principles and Applications

Cavagnero

2017

eMagRes

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Photo-CIDNP NMR Spectroscopy of Amino Acids and Proteins

Cited by 48 publications

References 154 publications

Training Schrödinger’s cat: quantum optimal control

Training Schrödinger’s cat: quantum optimal control

Quantitative In Situ Monitoring of Parahydrogen Fraction Using Raman Spectroscopy

Photochemically Induced Dynamic Nuclear Polarization: Basic Principles and Applications

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