Rapid analysis of the in-process extract solutions of compound E Jiao oral liquid using near infrared spectroscopy and partial least-squares regression

Abstract

A rapid and simultaneous quantification of the main active compounds of the in-process extract solutions is beneficial to the process monitoring as well as ensuring quality consistency of the end products during the production of traditional Chinese medicine. Here we present a near infrared (NIR) spectroscopy-based method for rapid analysis of extract solutions in the production of compound E Jiao oral liquid. The partial least-squares regression (PLSR) models for four quality indicators (viz. total flavonoids, total saponins, total saccharides and soluble solid contents) were established and validated. The results showed that all of the four models exhibited satisfactory fitting and predictive capacity. The root mean squares error of prediction (RMSEP) was 0.0384 mg mL À1 , 0.0154 mg mL À1 , 3.80 mg mL À1 and 0.199% for total flavonoids, total saponins, total saccharides and soluble solid contents, respectively. This work here demonstrated that NIR spectroscopy coupled with PLSR calibration can offer a reliable and non-destructive alternative in the routine monitoring of the extraction process in the production of compound E Jiao oral liquid. The presented approach is expected to be equally applicable to the mixed decoction of other herbal medicines.

On-line monitoring the extract process of Fu-fang Shuanghua oral solution using near infrared spectroscopy and different PLS algorithms

“…However, the extraction process is ended when the stipulated extraction time is reached, ignoring the influence of temperature, pressure and fluctuations of crude drug quality on extracts [1]. The quality assurance of the extraction process still depends on the experience of workers as well as traditional wet chemistry analysis at the end of this unit [2].To ensure the process efficiency and reproducibility and to guarantee the quality of final products, it is necessary to monitor the process and develop a non-invasive and expeditious method for determining the main compounds in the extract solutions of Chinese patent drug (CPD).…”

“…Near infrared spectroscopy (NIR), selected for industrial implementation of the process analytical technology (PAT) in 2004, has been proved as a powerful tool for quantitative and qualitative analysis with the advantages of rapid, non-destructive, requiring minimal or no sample preparation and determination the contents of several components [2,12]. In the past decades, NIR has gained wide acceptance in the quality analysis in manufacturing process of traditional Chinese medicine including discrimination of herbal materials [13][14][15][16], intermediates [11,17], in the procedures of pharmaceutical technique including end point assessment of extraction process [1], elution process [18], purification process [19], alcohol precipitation [20,21] and also in the pharmaceutical products including granules [22], sustained release formulations [23], tablets [24,25], solid dispersions [26].…”

Rapid quantification of multi-components in alcohol precipitation liquid of Codonopsis Radix using near infrared spectroscopy (NIRS)

“…Therefore, in this study, lobetyolin, total flavonoids, pigments, and total solid contents were taken into consideration and defined as critical quality attributes (CQAs) of the alcohol precipitation liquid. With the aim of accurately measuring these quality indices, high-performance liquid chromatography (HPLC) (Qiao et al, 2007;He et al, 2014;Kim et al, 2014), colorimetric assay (Han et al, 2013;Gong et al, 2014a), and gravimetric assay (Li et al, 2013) are most commonly adopted as standard quantitative methods. However, these methods are tedious and somewhat time-consuming, failing to satisfy the demand for real-time monitoring.…”

Identification of the Content of Ganoderma Lucidum Powder in Ganoderma Lucidum Spore Powder Based on Near-Infrared Spectroscopy and Partial Least Squares

“…The use of NIR is guaranteed by its numerous advantages including rapid, accurate, non-destructive measurement without or with minimum sample preparation and the ability to provide almost immediate predictions of physical and chemical properties from a single spectrum [4,5]. Coupled with chemometric methods, NIR spectroscopy has been extensively embraced in many work of component analysis [6,7]. Partial least squares (PLS) regression is the most popular method for building a relationship between spectral signals and the associated analyte concentrations [8].…”