AFNMR/NQR signal enhancement via population transfer

Abstract

Antiferromagnetic nuclear magnetic resonance (AFNMR) and nuclear quadrupole resonance (NQR) are useful techniques to characterize materials in bulk volumes without applying external static magnetic fields. For industrial materials characterization applications, it is crucial to maximize signal‐to‐noise ratio in the available time. We simulate the AFNMR and NQR signal enhancement via population transfer in single crystals and powders and predict the enhancement factors for half‐integer quadrupolar nuclei spin systems. Differences to conventional high‐field NMR population transfer experiments are emphasized. We restrict our discussion to electric field gradients with axial symmetry η = 0. Triple resonance tuned crossed coil experiments on CuFeS2 and In2O3 powders support the numerical results. © 2015 Wiley Periodicals, Inc. Concepts Magn Reson Part A 43A: 147–156, 2015.

75 As NQR studies on FeAs 2

“…The results were well modelled by first principles ab initio calculations based on density functional theory (DFT) [8], and we demonstrated later that NQR can be a useful tool to detect the presence of contaminant phases such as arsenic or antimony in mining processes [9]. In such industrial measurement applications, it is crucial to maximize sensitivity and reduce measurement times [10].…”

Sensitivity of NQR spectroscopy in the research of physical and chemical properties of copper-bearing minerals

“…[14,15]. Для повышения чувствительности при измерениях халькопирита также использовался перенос заселённостей в системе ортогональных катушек [16]. Методам повышения чувствительности был посвящён специальный выпуск журнала «Applied Magnetic Resonance», 2012, vol.…”