A Methodology Study on the Optimal Detection of Oil and Moisture Content in Soybeans Using LF-NMR and Its 2D <i>T</i><sub>1</sub>-<i>T</i><sub>2</sub> Nuclear Magnetic Technology

A Methodology Study on the Optimal Detection of Oil and Moisture Content in Soybeans Using LF-NMR and Its 2D <i>T</i><sub>1</sub>-<i>T</i><sub>2</sub> Nuclear Magnetic Technology

In this study, we aimed to provide an accurate method for the detection of oil and moisture content in soybeans. Introducing two-dimensional low-field nuclear magnetic resonance (LF-2D-NMR) qualitatively solved the problem of overlapping component signals that one-dimensional (1D) LF-NMR techniques...

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Bibliographic Details
Main Authors: Yu Zhang, Jianxiang Zhao, Ying Gu, Yi Chen, Ping Song, Tao Yang
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Agronomy
Subjects:
<i>T</i><sub>1</sub>-<i>T</i><sub>2</sub>
LF-NMR
LF-2D-NMR
soybean
oil and moisture content
Online Access:https://www.mdpi.com/2073-4395/13/4/1102

Internet

https://www.mdpi.com/2073-4395/13/4/1102

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