Water Status and Predictive Models of Moisture Content during Drying of Soybean Dregs Based on LF-NMR

Water Status and Predictive Models of Moisture Content during Drying of Soybean Dregs Based on LF-NMR

To explore the drying characteristics of soybean dregs and a nondestructive moisture content test method, in this study, soybean dregs were dried with hot air (80 °C), the moisture content was measured using the drying method, water status was analyzed using low-field nuclear magnetic resonance (LF-...

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Bibliographic Details
Main Authors: Tianyou Chen, Wenyu Zhang, Yuxin Liu, Yuqiu Song, Liyan Wu, Cuihong Liu, Tieliang Wang
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Molecules
Subjects:
by-products
drying processing
relaxation peak
water status
moisture content prediction
Online Access:https://www.mdpi.com/1420-3049/27/14/4421

Internet

https://www.mdpi.com/1420-3049/27/14/4421

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