Effect of Ultrasound and Cellulase Pre-treatment on the Water Distribution, Physical Properties, and Nutritional Components of Lentinula edodes Chips
Publication Date
4-1-2020
Document Type
Article
Publication Title
Food and Bioprocess Technology
Volume
13
Issue
4
DOI
10.1007/s11947-020-02422-z
First Page
625
Last Page
636
Abstract
This study aimed to understand the effect of ultrasound pre-treatment (UP), cellulase pre-treatment (CP) and their combination (UP+CP) pre-treatments on freeze-dried Lentinula edodes chips. The water distribution, microstructure, physical properties (colour, texture and shrinkage) and the main nutritional components (polysaccharides, protein and phenolic compounds) were investigated. The low-field nuclear magnetic resonance spectroscopy results showed that UP+CP improved the water mobility and level in mushroom slices. The chips subjected to UP+CP were found to have no free water. In addition, compared with other pre-treatment, UP+CP chips achieved better physical properties, which were characterized by the texture, colour and pore structures. All these attributors could contribute to a rapidly water transfer and improve the crisp characteristics. However, no significant difference was found in three pre-treatment products in polysaccharide and protein contents, though UP+CP products obtained higher phenolic content. Overall, the application of UP+CP was a potential pre-treatment approach for improving the quality of mushroom chips.
Funding Number
2016jzxjh016
Funding Sponsor
National Basic Research Program of China (973 Program)
Keywords
Lentinula edodes chips, Low-field nuclear magnetic resonance (LF-NMR), Pre-treatments, Quality
Department
Nutrition, Food Science and Packaging
Recommended Citation
Defang Shi, Chaomin Yin, Xi Feng, Ran Ran Zhou, Xiuzhi Fan, Yu Qiao, Fen Yao, Wen Huang, Ying Liu, Hong Gao, and Wei Cheng. "Effect of Ultrasound and Cellulase Pre-treatment on the Water Distribution, Physical Properties, and Nutritional Components of Lentinula edodes Chips" Food and Bioprocess Technology (2020): 625-636. https://doi.org/10.1007/s11947-020-02422-z