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Abstract
The microbial food fermentation industry requires real-time monitoring and accurate quantification of cells. However, filamentous fungi are difficult to quantify as they have complex cell types such as pellet, spores, and dispersed hyphae. In this study, numerous data of microscopic image intensity (MII) were used to develop a simple and accurate quantification method of Cordyceps mycelium. The dry cell weight (DCW) of the sample collected during the fermentation was measured. In addition, the intensity values were obtained through the ImageJ program after converting the microscopic images. The prediction model obtained by analyzing the correlation between MII and DCW was evaluated through a simple linear regression method and found to be statistically significant (R2 = 0.941, p < 0.001). In addition, validation with randomly selected samples showed significant accuracy, thus, this model is expected to be used as a valuable tool for predicting and quantifying fungal growth in various industries.
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Details
1 Korea University, Department of Chemical and Biological Engineering, Seoul, Republic of Korea (GRID:grid.222754.4) (ISNI:0000 0001 0840 2678)
2 Korea University, Department of Interdisciplinary Bio-Micro System Technology, College of Engineering, Seoul, Republic of Korea (GRID:grid.222754.4) (ISNI:0000 0001 0840 2678)
3 Dongyang Mirae University, Department of Food Science and Engineering, Seoul, Republic of Korea (GRID:grid.449106.e) (ISNI:0000 0004 0532 5576)
4 Kwangwoon University, Department of Chemical Engineering, Seoul, Republic of Korea (GRID:grid.411202.4) (ISNI:0000 0004 0533 0009)
5 Sangmyung University, Department of Biotechnology, Seoul, Republic of Korea (GRID:grid.263136.3) (ISNI:0000 0004 0533 2389)