Dynamic Changes and Correlation Analysis of Polysaccharide Content and Color Parameters in Glycyrrhiza Stems and Leaves during Fermentation

Author:

Du Juan123,Song Yifeng123,Li Xia14,Liu Na123ORCID,An Xiaoping123,Qi Jingwei123

Affiliation:

1. College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China

2. Inner Mongolia Herbivorous Livestock Feed Engineering Technology Research Center, Hohhot 010018, China

3. Key Laboratory of Smart Animal Husbandry, Universities of Inner Mongolia Autonomous Region, Hohhot 010018, China

4. Inner Mongolia Shengmu Animal Husbandry Co., Ltd., Hohhot 010020, China

Abstract

Fermentation can increase the concentration of active ingredients and improve the effectiveness of Chinese herbal medicine. The purpose of this study was to investigate the effect of solid-state fermentation (SSF) on the polysaccharide content and color of Glycyrrhiza stems and leaves, as well as to explore the potential of computer vision-based analytical chemistry for the rapid, non-destructive, and accurate quality identification of fermented herbs. The effects of different inoculation rates on the polysaccharide content and color of fermented Glycyrrhiza stems and leaves were evaluated. Subsequently, dynamic changes in the viable counts of the probiotic strains, pH values, polysaccharide content, and color of Glycyrrhiza stems and leaves were explored during the entire fermentation process. The correlations of color variables that were extracted from the images with key quality indicators of the Glycyrrhiza stem and leaf samples were verified. The results showed that with an increase in inoculation amount, the polysaccharide content demonstrated a trend of first increasing and then decreasing, which was consistent with the color parameter behavior, and the optimal inoculation amount was 0.2%. During fermentation, R, G, B, S, V, L, a*, and B* were significantly correlated with the polysaccharide content (p < 0.01), while the correlation of H was weak. Principal component analysis (PCA) based on color variables can effectively distinguish between different stages of fermentation. This study provides a reference for the rapid and nondestructive analysis of fermented Glycyrrhiza stems and leaves, offering a new approach to process monitoring and quality control of fermented herbs.

Funder

the Major Science and Technology Program of Inner Mongolia Autonomous Region

Research Project of Inner Mongolia Agricultural University

Publisher

MDPI AG

Subject

Plant Science,Biochemistry, Genetics and Molecular Biology (miscellaneous),Food Science

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