2022
DOI: 10.1039/d2nj01781d
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Real-time monitoring of the column chromatographic process of Phellodendri Chinensis Cortex part II: multivariate statistical process control based on near-infrared spectroscopy

Abstract: In the manufacturing process of natural medicines, column chromatographic separation is a critical step. However, the real operating status of elution process generally can not be monitored to date. To...

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Cited by 7 publications
(3 citation statements)
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“…Data preprocessing is critical in obtaining useful information related to the property of interest by reducing the impact of redundant information, which enhances the predictive ability and robustness of the calibration model. 45 The averaged NIR spectra of 36 batches ( n = 5) SH sustained-release tablets are shown in Fig. 6a.…”
Section: Resultsmentioning
confidence: 99%
“…Data preprocessing is critical in obtaining useful information related to the property of interest by reducing the impact of redundant information, which enhances the predictive ability and robustness of the calibration model. 45 The averaged NIR spectra of 36 batches ( n = 5) SH sustained-release tablets are shown in Fig. 6a.…”
Section: Resultsmentioning
confidence: 99%
“…As introduced in our previous work, the obtained three-dimensional spectral data was required to be unfolded to a two-dimensional matrix using the spectral data-unfolding method. 20 Subsequently, three methods comprising SNV, MSC and 1st der were used for spectral preprocessing to eliminate the interference of noise information. The MSPC model used for the monitoring of operating status was established based on three statistics, namely principal component (PC) scores, Hotelling T 2 , and distance to model X (DModX).…”
Section: Methodsmentioning
confidence: 99%
“…19 Most importantly, the MSPC method does not require the establishment of a calibration model, thereby meeting the necessary conditions for real-time monitoring of the production processes. 20…”
Section: Introductionmentioning
confidence: 99%