Optimization of Vacuum Freeze-Drying Process and Quality Evaluation of Stropharia rugosoannulata

Stropharia rugosoannulata is a valuable medicinal and food fungus with high nutritive value. Freeze-drying addresses the storage and transportation challenges of fresh Stropharia rugosoannulata, expanding its market while preserving its flavor and quality more effectively than other drying methods. This study optimizes the vacuum freeze-drying process for Stropharia rugosoannulata using an orthogonal experiment method. The process parameters were optimized to determine their effects on the quality of the vacuum freeze-dried product, including pre-freezing temperature, pre-freezing time, and freeze-drying time. The optimal conditions were identified as a pre-freezing time of 60 h, a pre-freezing temperature of −80 °C, and a freeze-drying time of 72 h. The optimal product exhibited a bright color close to its natural state, with minimal browning and its natural white color maintained post-drying. During the drying process, the internal structure of the raw materials remained intact. After drying, the finished product retained its natural form, making it suitable for sale on the market. The soluble protein content of the vacuum freeze-dried Stropharia rugosoannulata reached 68 mg/g. Optimizing the freeze-drying process can better preserve the tissue structure and bioactive substances of Stropharia rugosoannulata, providing a reference for high-quality food processing and showing potential for sustainable development.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2024-11-06
DOI
https://doi.org/10.3390/app142210158
Citations
8
Primary Topic
Freezing and Crystallization Processes
Type
article
Field-Weighted Citation Impact
2.15

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of Vacuum Freeze-Drying Process and Quality Evaluation of Stropharia rugosoannulata

Ruiling Lv, Yingying Jiang, Jianwei Zhou, Xin Zheng et al.
8 citations
Applied Sciences
Freezing and Crystallization Processes
2.15
article

Optimization of Vacuum Freeze-Drying Process and Quality Evaluation of Stropharia rugosoannulata

Ruiling Lv, Yingying Jiang, Jianwei Zhou, Xin Zheng, Zixuan Jia, Donghong Liu, Wenjun Wang, M. W. Hu
article en
8 citations

Abstract

Stropharia rugosoannulata is a valuable medicinal and food fungus with high nutritive value. Freeze-drying addresses the storage and transportation challenges of fresh Stropharia rugosoannulata, expanding its market while preserving its flavor and quality more effectively than other drying methods. This study optimizes the vacuum freeze-drying process for Stropharia rugosoannulata using an orthogonal experiment method. The process parameters were optimized to determine their effects on the quality of the vacuum freeze-dried product, including pre-freezing temperature, pre-freezing time, and freeze-drying time. The optimal conditions were identified as a pre-freezing time of 60 h, a pre-freezing temperature of −80 °C, and a freeze-drying time of 72 h. The optimal product exhibited a bright color close to its natural state, with minimal browning and its natural white color maintained post-drying. During the drying process, the internal structure of the raw materials remained intact. After drying, the finished product retained its natural form, making it suitable for sale on the market. The soluble protein content of the vacuum freeze-dried Stropharia rugosoannulata reached 68 mg/g. Optimizing the freeze-drying process can better preserve the tissue structure and bioactive substances of Stropharia rugosoannulata, providing a reference for high-quality food processing and showing potential for sustainable development.

Applied SciencesVol. 14(22)
Ningbo University (CN), Ningbo University of Technology (CN), Fotile (China) (CN), Zhejiang University (CN)
Ningbo Municipal Bureau of Science and Technology
Responsible consumption and production
Openalex Percentile: Top 13%
Freezing and Crystallization Processes
2.15
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.