School of Pharmacy, Xinxiang Medical University, Xinxiang 453002, Henan Province, PR China.
Department of Pharmacy, Wuhan No. 1 Hospital Pharmacy, Wuhan 430022, Hubei Province, PR China.
Food Chem. 2021 Apr 16;342:128386. doi: 10.1016/j.foodchem.2020.128386. Epub 2020 Oct 15.
Lonicerae Japonicae Flos (LJF) has historically been widely utilized as a tea and health food. To better understand and evaluate its quality evaluate its quality, a near-infrared spectroscopy (NIRS) method was developed for the rapid and simultaneous analysis of the 3 main active components (chlorogenic acid, isochlorogenic acid A and isochlorogenic acid C). The NIRS model was built using 2 different strategies: partial least squares (PLS) as a linear regression method and artificial neural networks (ANN) as a nonlinear regression method. Furthermore, the NIRS method was applied to analyze the 4 main quality factors, which included 5 processing methods (shade drying, sun drying, vacuum drying, freeze drying and hot-air drying), 2 kinds of harvest time (flower bud stage and florescence stage), 2 species and 8 geographical origins. Collectively, NIRS is a promising method for the quality analysis of LJF.
金银花（Lonicerae Japonicae Flos）在历史上被广泛用作茶和保健食品。为了更好地理解和评估其质量，开发了一种近红外光谱（NIRS）方法，用于快速同时分析 3 种主要活性成分（绿原酸、异绿原酸 A 和异绿原酸 C）。NIRS 模型采用 2 种不同策略构建：偏最小二乘法（PLS）作为线性回归方法和人工神经网络（ANN）作为非线性回归方法。此外，该 NIRS 方法还用于分析 4 种主要质量因素，包括 5 种加工方法（遮荫干燥、晒干、真空干燥、冷冻干燥和热空气干燥）、2 种收获时间（花蕾期和花期）、2 个品种和 8 个地理来源。总的来说，NIRS 是一种有前途的金银花质量分析方法。
