4.2 Article

A control system for performing automated time-domain NMR measurements in Bruker Minispec spectrometers

Journal

IEEE LATIN AMERICA TRANSACTIONS
Volume 20, Issue 6, Pages 1025-1031

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TLA.2022.9757746

Keywords

Nuclear magnetic resonance; Graphical user interfaces; Software; Magnetic resonance imaging; Temperature control; Time-domain analysis; Process control; Low-Field NMR; temperature control; Minispec; BVT3000

Funding

  1. Os autores agradecem ao Instituto de Fisica de Sao Carlos (IFSC-USP) e ao Centro de Pesquisas Leopoldo Americo Miguez de Mello (CENPES-Petrobras)

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TD-NMR is a powerful method for material characterization and production control, but automated signal acquisition as a function of temperature is often required. An automation procedure using specific equipment and sharing of developed codes can improve the efficiency and accuracy of TD-NMR experiments.
Time-Domain Nuclear Magnetic Resonance (TD-NMR) is a powerful method used for general characterization of a variety of materials as well as to online or in-situ monitoring of process. Because of that industries increasingly benefit from its use in process analytical technology (PAT) for production control and quality assurance. However, there is an increasing number of applications that requires automated signal acquisition as a function of temperatures, a resource that is not always available in many of the commercial equipments. We describe an automation procedure using the Bruker Minispec mq20 spectrometer with the BVT3000 temperature control, building software and hardware to execute TD-NMR experiments as a function of the temperature as well as the temperature calibration in an automatic form. Despite being developed for this specific equipment, the general idea can be used in other TD-NMR equipments that could benefit from this type of automation. As a demonstration, the system was used to monitor the temperature dependence of molecular mobility in polymers. All developed codes are shared in an open repository on GitHub.

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