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Moisture variation analysis of the green plum during the drying process based on low‐field nuclear magnetic resonance

Authors :
Shuxian Li
Ronghua Ju
Jun Yan
Ma Feifei
Yingying Zhu
Qian Jinrong
Li Zhong
Source :
Journal of Food Science. 86:5137-5147
Publication Year :
2021
Publisher :
Wiley, 2021.

Abstract

Green plums were dried at 50, 60, 70, and 80 ℃ to study the dynamic changes of internal moisture during the drying process. Low-field nuclear magnetic resonance (LF-NMR) was used to study the dynamic changes across the T2 relaxation spectrum, while magnetic resonance imaging (MRI) provided visualization of the plums throughout the process. The results indicate a negative linear relationship between the lost moisture of the plums (p < 0.05) as drying time increased. Relaxation times T21 , T22, and T23 , and the peak areas of A21 and A23 decreased significantly during the drying process. The MRI results also show that the brightness of the images decreased as the drying time increased, indicating that the higher the temperature, the greater the water loss inside the plums. Color measurements demonstrated that the high temperature dried plums had better sensory quality. Correlation analysis implies a strong positive relationship between A23 and Atotal and water content, with coefficients of 0.958 and 0.936, respectively. Principal component analysis results show that the drying temperature has a significant effect on the sample's internal moisture release. LF-NMR is a fast, convenient, and feasible technique for monitoring the moisture variation of green plums during the drying process. PRACTICAL APPLICATION: Low-field nuclear magnetic resonance (LF-NMR) was used to study the moisture dynamic changes of green plums across the T2 relaxation spectrum, while magnetic resonance imaging (MRI) provided visualization of plums throughout the process. The drying temperature has a significant effect on the green plum's internal moisture release and may affect the quality of the plums. LF-NMR might be a complementary technique in monitoring the moisture variation of green plums during the drying process.

Details

ISSN :
17503841 and 00221147
Volume :
86
Database :
OpenAIRE
Journal :
Journal of Food Science
Accession number :
edsair.doi.dedup.....69ddfc831445e87d5a6ad29aa584dd91
Full Text :
https://doi.org/10.1111/1750-3841.15955