Wang Pei, Zhang Hui, Yang Hailong, Nie Lei, Zang Hengchang
National Glycoengineering Research Center and School of Pharmaceutical Science, Shandong University, N0. 44 West Wenhua Road, Jinan 250012, China; School of Pharmacy, Shenyang Pharmaceutical University, Shenyang 110016, China.
Beijing Kaiyuan Shengshi Science and Technology Development Co., LTD., Jinan 250012, China.
Spectrochim Acta A Mol Biomol Spectrosc. 2015 Feb 25;137:1403-8. doi: 10.1016/j.saa.2014.09.002. Epub 2014 Sep 8.
Near-infrared (NIR) spectroscopy has been developed into an indispensable tool for both academic research and industrial quality control in a wide field of applications. The feasibility of NIR spectroscopy to monitor the concentration of puerarin, daidzin, daidzein and total isoflavonoid (TIF) during the extraction process of kudzu (Pueraria lobata) was verified in this work. NIR spectra were collected in transmission mode and pretreated with smoothing and derivative. Partial least square regression (PLSR) was used to establish calibration models. Three different variable selection methods, including correlation coefficient method, interval partial least squares (iPLS), and successive projections algorithm (SPA) were performed and compared with models based on all of the variables. The results showed that the approach was very efficient and environmentally friendly for rapid determination of the four quality indices (QIs) in the kudzu extraction process. This method established may have the potential to be used as a process analytical technological (PAT) tool in the future.
近红外(NIR)光谱已发展成为广泛应用领域中学术研究和工业质量控制不可或缺的工具。本研究验证了近红外光谱用于监测葛根(野葛)提取过程中葛根素、大豆苷、大豆苷元及总异黄酮(TIF)浓度的可行性。近红外光谱采用透射模式采集,并进行平滑和求导预处理。采用偏最小二乘回归(PLSR)建立校准模型。进行了三种不同的变量选择方法,包括相关系数法、间隔偏最小二乘法(iPLS)和连续投影算法(SPA),并与基于所有变量的模型进行比较。结果表明,该方法对于快速测定葛根提取过程中的四项质量指标(QIs)非常有效且环保。所建立的该方法未来可能有潜力用作过程分析技术(PAT)工具。