Rapid Detection of Component Contents in Polyphenol-Rich Plant Leaves Based on Near-Infrared Spectroscopy.

Authors

Chen-Peng Wang, Bao-Shan Tang, Yi-Wen Liu, Hong Zhang, Juan Xu, Lan-Xiang Liu, Jin-Ju Ma, Chun-Hua Wu

Published in

Journal of AOAC International. Sep 30, 2026. Epub Sep 30, 2026.

Abstract

Leaves of Rhus punjabensis var. sinica, Rhus potaninii, Caesalpinia spinosa (Tara), and Phyllanthus emblica (Indian gooseberry), and other species are rich in tannic and gallic acids, which are polyphenols widely utilized in the pharmaceutical, food, and chemical industries. Conventional quantification involves tedious solvent extraction and chemical assays, which are time-consuming, costly, and incapable of simultaneous multi-component analysis.
To enable rapid, non-destructive detection, Fourier transform near-infrared spectroscopy was used to establish quantitative models for synchronous determination of tannic acid, gallic acid, and moisture in polyphenol-rich plant leaves.
Eighty-five leaf samples from six species were collected; reference values were obtained by chemical methods. Near-infrared spectra of plant leaves were fitted to traditional chemical values. Synergy interval partial least squares (SIPLS) selected characteristic intervals to build a partial least squares (PLS) model; performance was assessed by correlation and error metrics.
Optimal pretreatments were FD+MSC (moisture), MSC (tannic acid), and FD (gallic acid) with number of principal factors 4, 9, and 6. Characteristic bands: moisture 9403.7-6098.1 and 5450.1-4597.7 cm⁻¹; tannic acid 9403.7-7498.2 and 6102-4246.7 cm⁻¹; gallic acid 9403.7-8451 and 6102-5446.3 cm⁻¹. For moisture, tannic acid, and gallic acid, Rc² = 0.9574, 0.9595, 0.9115; RMSECV = 0.433%, 1.47%, 0.362%; RPD = 4.81, 4.96, 3.36; Rp² = 0.9669, 0.9792, 0.9443; RMSEP = 0.274%, 1.25%, 0.241%. Bias was not significant (P > 0.05), and average RSD < 2%.
The results demonstrate that near-infrared spectroscopy combined with chemometric methods demonstrates high predictive capability and practical application value for the quantitative determination of tannic acid, gallic acid, and moisture in polyphenol-rich plant leaves.
A rapid, non-destructive NIR spectroscopy method was developed for simultaneous quantification of tannic acid, gallic acid, and moisture in polyphenol-rich plant leaves. Optimized chemometric modeling (SIPLS-PLSR) achieved high prediction accuracy (Rp² > 0.94, RPD > 3.0), demonstrating strong robustness and suitability for practical applications.

PMID:
42813953
Bibliographic data and abstract were imported from PubMed on 30 Sep 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.