Sensitivity enhancement of NMR spectroscopy receiving chain used in condensed matter physics

Scientific paper - Original scientific paper

• Author: Petar Kolar; MBZ: 353662
• Author: Mihael S. Grbić
• Author: Silvio Hrabar; MBZ: 146704
• Author's institution: University of Zagreb; Faculty of Science; (Department of Physics)
• Scientific / art field, discipline and subdiscipline: NATURAL SCIENCES; Physics
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract (english)

Assurance of high measuring sensitivity is one of the most challenging issues of any nuclear magnetic resonance (NMR) spectroscopy system. To this end, we propose an accurate noise model of the entire probe-to- spectrometer receiving chain for condensed matter physics, based on a concept of noise figure. The model predicts propagation of both signal and noise level at every component of the NMR spectroscopy receiving chain. Furthermore, it enables identification of the "weakest" component and, therefore, the optimization of the whole system. The most important property of the proposed model is the possibility to find system parameters that reduce measurement time by an a priori calculation, rather than an a posteriori approach. The model was tested experimentally on several different samples. It was found that the measurement time can still be significantly shortened, down to at least one half of the measurement time, starting from optimized conditions with commercially available components. Thus, the proposed model can be used as a tool for both quantitative analysis of the noise properties and sensitivity prediction of practical NMR systems in physics and material science.

• Keywords (english): NMR; noise; propagation; signal amplitude
• Language: english
• Publication type: Scientific paper - Original scientific paper
• Publication status: Published
• Peer review: Peer review - international
• Publication version: Published version
• Journal title: Sensors
• Numbering: vol. 19, no. 14, 3064
• p-ISSN: 1424-8220
• DOI: https://doi.org/10.3390/s19143064
• URN:NBN: urn:nbn:hr:217:036942
• Publication: 2019
• Document URL: https://www.mdpi.com/1424-8220/19/14/3064
• Type of resource: Text
• Access conditions: Open access
• Public note: © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). Received: 6 June 2019; Accepted: 9 July 2019; Published: 11 July 2019.
• Created on: 2020-08-26 19:26:43