Application of near infrared spectroscopy and real time release testing combined with statistical process control charts for on-line quality control of industrial concentrating process of traditional Chinese medicine “Jinyinhua”

过程分析技术 统计过程控制 控制图 单变量 计算机科学 近红外光谱 偏最小二乘回归 过程(计算) 过程控制 绿原酸 工艺工程 色谱法 多元统计 化学 机器学习 在制品 工程类 运营管理 物理 量子力学 操作系统
作者
Ye Jin,Wenjun Du,Xuesong Liu,Yongjiang Wu
出处
期刊:Infrared Physics & Technology [Elsevier BV]
卷期号:123: 104135-104135 被引量:8
标识
DOI:10.1016/j.infrared.2022.104135
摘要

• First report on real time release testing for manufacturing process of TCM. • Automatic NIR detection system was designed and applied at industrial scale. • Static spectral collection method improved the accuracy of on-line spectral data. • Shewhart and SPE were effective in detecting faults and releasing normal batches. Concentrating process is an important unit operation during the manufacture of Lonicerae Japonicae Flos (LJF, “Jinyinhua” in Chinese) products. Near infrared (NIR) spectroscopy and real time release testing (RTRT) combined with statistical process control (SPC) methods were presented for on-line monitoring of concentrating and developing quality control strategy for the final LJF concentrates. An automatic NIR detection (AND) device was designed and has proven effective to eliminate the influence of bubble, solid impurity and flow of the concentrates on NIR spectra. Partial least squares (PLS) models were constructed for on-line determination of neochlorogenic acid (NCA), chlorogenic acid (CA), cryptochlorogenic acid (CCA), density and water content, which provided real-time data and exhibited satisfactory predictive abilities. SPC tools, including univariate Shewhart, multivariate Hotelling T 2 and squared prediction error (SPE), were compared and applied for RTRT. The results of RTRT showed that the releasing criteria for final LJF concentrates were as follows: 1.09 mg/g < NCA < 1.53 mg/g, 10.00 mg/g < CA < 13.44 mg/g, 1.71 mg/g < CCA < 2.43 mg/g, 1.10 g/ml < density < 1.14 g/ml, 64.07% < water content < 72.99% and SPE result < 0.04. Shewhart and SPE charts have proven to be useful in detecting abnormalities and releasing normal batches. This work demonstrated the effectiveness of NIR and RTRT combined with SPC charts in on-line quality control of industrial concentrating process of traditional Chinese medicine.
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