Virtual Homonuclear Decoupling in Direct Detection Nuclear Magnetic Resonance Experiments Using Deep Neural Networks

2021 ◽  
Author(s):  
Gogulan Karunanithy ◽  
Harold W. Mackenzie ◽  
D. Flemming Hansen
Keyword(s):  
Neural Networks ◽  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Deep Neural Networks ◽  
Direct Detection ◽  
Homonuclear Decoupling ◽  
Nuclear Magnetic

scholarly journals Morpholine Degradation Pathway of Mycobacterium aurumMO1: Direct Evidence of Intermediates by In Situ 1H Nuclear Magnetic Resonance

1998 ◽  
Vol 64 (1) ◽  
pp. 153-158 ◽  
Author(s):  
B. Combourieu ◽  
P. Besse ◽  
M. Sancelme ◽  
H. Veschambre ◽  
A. M. Delort ◽  
...  
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Direct Detection ◽  
Quantitative Information ◽  
Degradation Pathway ◽  
H Nmr ◽  
Mycobacterium Aurum ◽  
Kinetics Of ◽  
Nuclear Magnetic

ABSTRACT Resting Mycobacterium aurum MO1 cells were incubated with morpholine, a waste from the chemical industry. The kinetics of biodegradation was monitored by using in situ nuclear magnetic resonance (NMR). The incubation medium was directly analyzed by1H NMR. This technique allowed the unambiguous identification of two intermediates of the metabolic pathway involved in the biodegradation process, glycolate and 2-(2-aminoethoxy)acetate. The latter compound, which was not commercially available, was synthesized, in three steps, from 2-(2-aminoethoxy)ethanol. Quantitative analysis of the kinetics of degradation of morpholine was performed by integrating the signals of the different metabolites in1H-NMR spectra. Morpholine was degraded within 10 h. The intermediates increased during the first 10 h and finally disappeared after 20 h incubation. Assays of degradation were also carried out with glycolate and ethanolamine, hypothetical intermediates of the morpholine degradation pathway. They were degraded within 4 and 8 h, respectively. Until now, no tool for direct detection of intermediates or even morpholine has been available, consequently, only hypothetical pathways have been proposed. The approach described here gives both qualitative and quantitative information about the metabolic routes used in morpholine degradation by M. aurum MO1. It could be used to investigate many biodegradative processes.

First Evidence of the Detection of an Underground Nuclear Magnetic Resonance Signal in a Tunnel

2018 ◽  
Vol 23 (1) ◽  
pp. 77-88 ◽  
Author(s):  
Tingting Lin ◽  
Yujing Yang ◽  
Xiaofeng Yi ◽  
Chuandong Jiang ◽  
Tiehu Fan
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Direct Detection ◽  
Ground Surface ◽  
Resonance Signal ◽  
Large Size ◽  
Water Signal ◽  
Receiving Coil ◽  
First Time ◽  
Nuclear Magnetic

During the excavation of underground tunnels and ore mining, accidents related to sudden water inflows often occur. As the only technique used for the direct detection of groundwater, nuclear magnetic resonance (NMR) has advantages for the detection of disaster-inducing water flows. However, NMR has commonly been applied only at the ground surface using large-size loop with several turns (typically tens of meters). For the first time, we demonstrate that the water signal in a tunnel can be directly detected using an underground nuclear magnetic resonance (UNMR) experiment. Specifically, we describe the design of a six-meter multi-turn transmitting coil and receiving coil. By conducting UNMR measurements in the Dadushan Tunnel, located in southwestern China, we not only verified the ability to detect the UNMR signal, but also matched the observed data using a 1D inverse model. [Figure: see text]

scholarly journals Sensitive and Direct Detection of Circulating Tumor Cells by Multimarker µ-Nuclear Magnetic Resonance

Neoplasia ◽  
2012 ◽  
Vol 14 (5) ◽  
pp. 388-IN2 ◽  
Author(s):  
Arezou A. Ghazani ◽  
Cesar M. Castro ◽  
Rostic Gorbatov ◽  
Hakho Lee ◽  
Ralph Weissleder
Keyword(s):  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Direct Detection ◽  
Nuclear Magnetic
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