UV-Vis spectral fingerprinting and chemometric method applied to the evaluation of Camellia sinensis leaves from different harvests

Abstract

UV-Vis spectral fingerprinting was used to discriminateCamellia sinensisleaves of two different harvests and multivariate data analysis was applied to determine the relevant metabolites for separation.

UV Fingerprinting Approaches for Quality Control Analyses of Food and Functional Food Coupled to Chemometrics: A Comprehensive Analysis of Novel Trends and Applications

“…[ 26 ]. In this regard, the two harvests of Camellia sinesis tea leaf extracts were classified based upon their metabolite spectrum of UV-Vis light analysis, orthogonal signal correction, and partial least-squares discrimination analysis (OSC-PLS-DA) [ 27 ]. The calibration model was composed of 12 spectra for the first harvest and 14 from a second harvest, which was derived using OSC-PLS-DA in the discriminant spectral regions bands at 272, 410, and 663 nm among harvests.…”

“…The 272 nm band corresponded to then n-π* of caffeine, particularly due to the chromophore C=O, whereas the bands at 410 and 663 nm were attributed to the presence of pheophytin, characterized by a blue region and Q bands. Both caffeine and pheophytin could serve as valued biomarkers for the QC of C. sinesis harvests and be used to distinguish different harvests in tea [ 27 ], but in other caffeine-rich drugs such as coffee, cocoa waits to be tested.…”

Spectral fingerprinting revealed modulation of plant secondary metabolites in providing abiotic stress tolerance to invasive alien plants Lantana camara (L.), Parthenium hysterophorous (L.), Ricinus communis (L.), and Ageratum conyzoides (L.) (plant metabolites in stress tolerance to invasive plants)

“…Environmental factors affect the metabolic pathways of plants and produce different patterns of chemical composition, leading to variations in their fingerprints. Nonetheless, spectral fingerprinting is gaining attention in the area of agriculture and metabolomics (Pauli et al, 2016 ). Spectral fingerprint is a technique in which light (UV or IR region of the spectrum) interacts with the bonds in biomolecules, which resonate at particular frequencies, thus giving each molecule a “spectral fingerprint or absorption signature” (Pauli et al, 2016 ; Gavicho et al, 2020 ).…”

“…Nonetheless, spectral fingerprinting is gaining attention in the area of agriculture and metabolomics (Pauli et al, 2016 ). Spectral fingerprint is a technique in which light (UV or IR region of the spectrum) interacts with the bonds in biomolecules, which resonate at particular frequencies, thus giving each molecule a “spectral fingerprint or absorption signature” (Pauli et al, 2016 ; Gavicho et al, 2020 ). Therefore, spectral fingerprinting-based techniques have been extensively used to identify bioactives or phytoconstituents such as phenolics and flavonoids in plant extracts and for the evaluation of herbal plants (Pauli et al, 2016 ; Salem et al, 2020 ).…”