A Methodology Study on the Optimal Detection of Oil and Moisture Content in Soybeans Using LF-NMR and Its 2D T1-T2 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 problem overlapping component signals that one-dimensional (1D) LF-NMR techniques cannot distinguish soybean research. Soxhlet extraction, oven drying, spectrum, software were used detect content. The comparison showed was faster more than other methods. specific identification seeds using longitudinal relaxation time (T1) transverse (T2) successfully problems less mobile water, free signals. Therefore, LF-2D-NMR can complement conventional assays, study provides a new analysis