PDF(Pubmed)
Abstract：
Dendrobium officinale (D. officinale), 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 D. officinale 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 D. officinale 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 D. officinale. 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 (RMSECVs) 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 D. officinale. This method can serve as an alternative to conventional analytical methods for efficiently quantifying the antioxidant properties in D. officinale.
摘要：
铁皮石斛(D.officinale),通常用作草药和食品应用的两用植物，对健康有益的组成部分和广泛的经济价值引起了相当大的关注。牛黄的抗氧化能力对保证其保健价值和维护消费者利益具有重要意义。然而,常用的评价铁皮草抗氧化能力的分析方法耗时,辛苦,而且昂贵。在这项研究中,采用近红外(NIR)光谱和化学计量学建立了一种快速、准确的方法测定2,2'-氮杂双-3-乙基苯并噻唑啉-6-磺酸(ABTS)的清除能力,2,2-二苯基-1-吡啶酰肼(DPPH)清除能力,和铁还原抗氧化能力（FRAP）。基于偏最小二乘（PLS）算法建立了定量模型。两种波长选择方法，即遗传算法(GA)和竞争自适应重加权抽样(CARS)方法，用于模型优化。与其他PLS模型相比，CARS-PLS模型表现出优越的预测性能。ABTS交叉验证的均方根误差(RMSECV)，FRAP,DPPH为0.44%，2.64μmol/L,和2.06%，分别。结果表明，近红外光谱结合CARS-PLS模型在快速预测铁皮菜抗氧化活性方面具有潜在的应用价值。该方法可以作为常规分析方法的替代方法，用于有效地定量D.officinale的抗氧化性能。
