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

Abstract

A near infrared spectroscopy (NIRS) approach was established for quality control of the alcohol precipitation liquid in the manufacture of Codonopsis Radix. By applying NIRS with multivariate analysis, it was possible to build variation into the calibration sample set, and the Plackett-Burman design, Box-Behnken design, and a concentrating-diluting method were used to obtain the sample set covered with sufficient fluctuation of process parameters and extended concentration information. NIR data were calibrated to predict the four quality indicators using partial least squares regression (PLSR). In the four calibration models, the root mean squares errors of prediction (RMSEPs) were 1.22 μg/ml, 10.5 μg/ml, 1.43 μg/ml, and 0.433% for lobetyolin, total flavonoids, pigments, and total solid contents, respectively. The results indicated that multi-components quantification of the alcohol precipitation liquid of Codonopsis Radix could be achieved with an NIRS-based method, which offers a useful tool for real-time release testing (RTRT) of intermediates in the manufacture of Codonopsis Radix.

Research progress on the ethanol precipitation process of traditional Chinese medicine

“…Danshen NIR The concentration of danshensu and protocatechualdehyde, and total solid content [137] Danshen NIR The concentration of six active components such as danshensu, solid content, scores of the first principal component, Hotelling T 2 , squared prediction error [138] Rukuaxiaopian NIR The concentration of danshensu and hesperidin [139] Danshen NIR Tannin concentration [140] Danshen NIR Scores of the first principal component, Hotelling T 2 , squared prediction error [141] Cinobufacini NIR Indole alkaloids concentration [142] Lonicerae Japonicae NIR Hotelling T 2 , squared prediction error [143] Lonicerae Japonicae NIR Chlorogenic acid concentration [144] Lonicerae Japonicae NIR Chlorogenic acid concentration [145] Danhong Injection NIR Solid content and concentration of five active components such as danshensu [146] Reduning Injection NIR The concentration of four active components such as neochlorogenic acid [147] Reduning Injection NIR The concentration of chlorogenic acid and solid content [148] Shenzhiling Oral Solution NIR The concentration of six active components such as paeoniflorin [149] Dangshen NIR The concentration of lobetyolin, total flavonoids, pigments, and total solid contents [150] Astragali Radix NIR Scores of the first principal component, Hotelling T 2 , squared prediction error, the concentration of six active components, and total solid content [151] Danshen NIR The concentration of glucose, fructose, and sucrose [152] of concentrate on the effect of EP. It is also difficult to accurately predict the material transfer and drug delivery rule of EPP.…”

Design space calculation and continuous improvement considering a noise parameter: A case study of ethanol precipitation process optimization for the Carthami Flos extract

“…In recent years, many researchers have studied the ethanol precipitation of TCM, mainly focusing on the optimization of process parameters [2][3][4][5], process monitoring technology [6][7][8], ethanol precipitation equipment [9,10], sediment morphology [11,12], etc. There are also many reports on the optimization of ethanol precipitation parameters based on the quality by design (QbD) concept [13][14][15].…”

Rapid quantification of epigoitrin in the extraction process of Radix Isatidis using near infrared spectroscopy

“…However, it is time-consuming and inappropriate for real-time monitoring [12] . In recent two decades, nearinfrared spectroscopy ( NIRS ) was ever-increasingly applied as a powerful process analysis technology (PAT) in agriculture [13][14] , environment [15][16] , chemical industry [17][18] , and as well TCM production field [19][20] . NIRS may provide an alternative method to determine epigoitrin, which is superior to common analytical method due to advantages of rapidness, nondestruction and environment friendliness [21] .…”