Rapid Measurement of Antioxidant Properties of Dendrobium officinale Using Near-Infrared Spectroscopy and Chemometrics

• Published in: Foods Vol. 13; no. 11; p. 1769
• Main Authors: Cao, Xiaoqing, Huang, Jing, Chen, Jinjing, Niu, Ying, Wei, Sisi, Tong, Haibin, Wu, Mingjiang, Yang, Yue
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.06.2024; MDPI
• Subjects: Adaptive sampling; Algorithms; Analytical methods; antioxidant activity; Antioxidants; Chemometrics; Dendrobium officinale; Flavonoids; Fourier transforms; Genetic algorithms; Herbal medicine; Infrared spectra; Infrared spectroscopy; Isoflavones; Mathematical models; Measurement; Medicinal plants; Methods; Near infrared radiation; near-infrared spectroscopy; Performance prediction; Polyphenols; Potassium; Reagents; Scavenging; Spectrum analysis; Sulfonic acid; China; United States > US; Dendrobium officinale; chemometrics; near-infrared spectroscopy; antioxidant activity
• ISSN: 2304-8158; 2304-8158
• DOI: 10.3390/foods13111769

( ), often used as a dual-use plant with herbal medicine and food applications, has attracted considerable attention for health-benefiting components and wide economic value. The antioxidant ability of is of great significance to ensure its health care value and safeguard consumers' interests. However, the common analytical methods for evaluating the antioxidant ability of are time-consuming, laborious, and costly. In this study, near-infrared (NIR) spectroscopy and chemometrics were employed to establish a rapid and accurate method for the determination of 2,2'-azinobis-3-ethylbenzothiazoline-6-sulfonic acid (ABTS) scavenging capacity, 2,2-diphenyl-1-picrylhydrazyl (DPPH) scavenging capacity, and ferric reducing antioxidant power (FRAP) in . The quantitative models were developed based on the partial least squares (PLS) algorithm. Two wavelength selection methods, namely the genetic algorithm (GA) and competitive adaptive reweighted sampling (CARS) method, were used for model optimization. The CARS-PLS models exhibited superior predictive performance compared to other PLS models. The root mean square errors of cross-validation ( ) for ABTS, FRAP, and DPPH were 0.44%, 2.64 μmol/L, and 2.06%, respectively. The results demonstrated the potential application of NIR spectroscopy combined with the CARS-PLS model for the rapid prediction of antioxidant activity in . This method can serve as an alternative to conventional analytical methods for efficiently quantifying the antioxidant properties in .