Sano, H.; Kawaguchi, S.; Iimori, T.; Kuragano, M.; Tokuraku, K.; Uwai, K. On-Site Evaluation of Constituent Content and Functionality of Perilla frutescens var. crispa Using Fluorescence Spectra. Molecules2023, 28, 7199.
Sano, H.; Kawaguchi, S.; Iimori, T.; Kuragano, M.; Tokuraku, K.; Uwai, K. On-Site Evaluation of Constituent Content and Functionality of Perilla frutescens var. crispa Using Fluorescence Spectra. Molecules 2023, 28, 7199.
Sano, H.; Kawaguchi, S.; Iimori, T.; Kuragano, M.; Tokuraku, K.; Uwai, K. On-Site Evaluation of Constituent Content and Functionality of Perilla frutescens var. crispa Using Fluorescence Spectra. Molecules2023, 28, 7199.
Sano, H.; Kawaguchi, S.; Iimori, T.; Kuragano, M.; Tokuraku, K.; Uwai, K. On-Site Evaluation of Constituent Content and Functionality of Perilla frutescens var. crispa Using Fluorescence Spectra. Molecules 2023, 28, 7199.
Abstract
Perilla frutescens leaves are expected to exhibit antioxidant activity and amyloid-β (Aβ) aggregation inhibitory activity due to the presence of polyphenol-type compounds, etc. These activities fluctuate daily; however, measuring the contents of constituents and functionalities is cumbersome and unsuitable for instantaneous measurements in the field. In this study, we developed a facile method to analyze the activity and content of the components in leaves on-site based on the fluorescence spectra obtained by irradiating the perilla leaves with excitation light. The constituent contents (Chlorophyl (Chl), Total polyphenol content (TPC), Total flavonoid content (TFC), rosmarinic acid (RA) and functional properties DPPH radical scavenging activity, ferric reducing antioxidant power (FRAP), oxygen radical absorbance capacity (ORAC), Aβ aggregation inhibitory activity) were evaluated using established analytical techniques. The correlation between the fluorescence spectrum and the contents and activities was calculated using normalized difference spectral index (NDSI), ratio spectral index (RSI), and difference spectral index (DSI) analyses. We identified a predictive model with a high coefficient of determination R² ≥ 0.57 for content of the constituents, and R² ≥ 0.49 for functional properties. This allows convenient, simultaneous, and non-destructive monitoring of the constituent contents and the functionalities of perilla leave and a simple harvest-time diagnosis. The model established using this method is simple and suggesting that it can simultaneously infer the constituents and functionalities of perilla leaves.
Keywords
nondestructive analysis, ratio spectral index (RSI); normalized difference spectral index (NDSI); difference spectral index (DSI); polyphenols; antioxidation; Aβ aggregation inhibitory activity
Subject
Chemistry and Materials Science, Analytical Chemistry
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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