On-Site Evaluation of Constituent Content and Functionality of Perilla frutescens var. crispa Using Fluorescence Spectra

• Published in: Molecules (Basel, Switzerland) Switzerland), 2023-10, Vol.28 (20), p.7199
• Main Authors: Sano, Hidemichi, Kawaguchi, Satoru, Iimori, Toshifumi, Kuragano, Masahiro, Tokuraku, Kiyotaka, Uwai, Koji
• Format: Article
• Language: English
• Subjects: Acids; Antioxidants; antioxidation; Aβ aggregation inhibitory activity; Chlorophyll; difference spectral index (DSI); Flavonoids; Leaves; Measurement techniques; nondestructive analysis; normalized difference spectral index (NDSI); Onsite; Polyphenols; Seeds
• ISSN: 1420-3049; 1420-3049
• DOI: 10.3390/molecules28207199

Perilla frutescens leaves are hypothesized to possess antioxidant and amyloid-β (Aβ) aggregation inhibitory properties primarily due to their polyphenol-type compounds. While these bioactivities fluctuate daily, the traditional methods for quantifying constituent contents and functional properties are both laborious and impractical for immediate field assessments. To address this limitation, the present study introduces an expedient approach for on-site analysis, employing fluorescence spectra obtained through excitation light irradiation of perilla leaves. Standard analytical techniques were employed to evaluate various constituent contents (chlorophyl (Chl), total polyphenol content (TPC), total flavonoid content (TFC), and rosmarinic acid (RA)) and functional attributes (DPPH radical scavenging activity, ferric reducing antioxidant power (FRAP), oxygen radical absorbance capacity (ORAC), and Aβ aggregation inhibitory activity). Correlations between the fluorescence spectra and these parameters were examined using normalized difference spectral index (NDSI), ratio spectral index (RSI), and difference spectral index (DSI) analyses. The resulting predictive model exhibited a high coefficient of determination, with R2 values equal to or greater than 0.57 for constituent contents and 0.49 for functional properties. This approach facilitates the convenient, simultaneous, and nondestructive monitoring of both the chemical constituents and the functional capabilities of perilla leaves, thereby simplifying the determination of optimal harvest times. The model derived from this method holds promise for real-time assessments, indicating its potential for the simultaneous evaluation of both constituents and functionalities in perilla leaves.