Rapid evaluation of antioxidant activity of Rheum tanguticum: A synergistic strategy of near-infrared spectroscopy, chromatographic effects, and machine learning

• Published in: Food Chemistry: X Vol. 31; p. 103019
• Main Authors: Song, Xiaoming, Feng, Dan, Li, Jiamin, Zang, Liyan, Li, Hongmei, Sun, Jing
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Ltd 01.10.2025; Elsevier
• Subjects: Antioxidant activity; NIR spectroscopy; Rheum tanguticum; Spectrum-effect relationship; Rheum tanguticum; Spectrum-effect relationship; NIR spectroscopy; Antioxidant activity
• ISSN: 2590-1575; 2590-1575
• DOI: 10.1016/j.fochx.2025.103019

[Display omitted] This study integrates HPLC fingerprinting and NIR spectroscopy to evaluate the antioxidant capacity of Rheum tanguticum. HPLC fingerprinting comprehensively characterized the complex chemical composition, identifying 13 compounds. Meanwhile, NIR spectroscopy provided a rapid, non-destructive approach to predict antioxidant capacity. The combination of these techniques offers a holistic and efficient strategy for evaluating antioxidant activity. The spectrum-effect relationships were analyzed by correlating the results of three antioxidant assays (ABTS, DPPH, and FRAP) with the peak areas of the common peaks identified by HPLC. Glycosylated anthraquinones, particularly conjugated forms like rhein-8-O-glucoside, were found to synergistically enhance antioxidant activity with free aglycones. NIR models optimized using the PLS method with Python-based algorithms demonstrated strong predictive abilities, achieving RPD values of 2.43 for ABTS, 2.63 for DPPH, and 2.43 for FRAP. This research provides a rapid method to evaluate the antioxidant capacity of Rh. tanguticum, offering a reference for future applications in other fields. •Established HPLC fingerprint for Rheum tanguticum extracts.•Identified key chemical compound driving antioxidant activity.•Developed rapid NIR spectroscopy models for antioxidant evaluation.•Achieved high prediction accuracy with the verification rate above 83 %.•Provided new insights for the antioxidant research of agricultural crops and foods.