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Validation of NIR Model for On-line Monitoring of Flos Lonicera Japonica Extraction Process with Different Batches of Materials
Journal Title International Journal of Online Engineering (iJOE)
Journal Abbreviation i-joe
Publisher Group International Association of Online Engineering (IAOE)
Website http://online-journals.org
   
Title Validation of NIR Model for On-line Monitoring of Flos Lonicera Japonica Extraction Process with Different Batches of Materials
Authors Sui, Chenglin; Wu, Zhisheng; Peng, Yanfang; Zou, Luwei; Pei, Yanling; Shi, Xinyuan; Qiao, Yanjiang
Abstract In this study, on-line NIRs (Near Infrared Spectroscopy) monitoring technology, as a useful tool, has been verified during the extraction process of Flos Lonicera Japonica. To gain representative samples and accurate model result, the detrimental effects from NIR collecting circumstance were significantly reduced with meticulous designs. Based on what, different batches of Flos Lonicera Japonica material were real-time monitored in the extraction process. 10 design schemes were used to verify whether or not different batches could disturb predictive results of the quantitative model. According to a series of chemometric indicators, such as SEC, SECV, SEP, RPD, it is concluded that PLS models established by samples of different batches of raw herbs from the same source could be used to monitor the extraction process with acceptable accuracy. Our research has demonstrated that on-line NIRs monitoring technology as a fast, non-destructive and real-time monitoring tool could be utilized in traditional Chinese medicine preparation.
Publisher kassel university press GmbH
Date 2013-07-23
Source 1868-1646
Rights The submitting author warrants that the submission is original and that she/he is the author of the submission together with the named co-authors; to the extend the submission incorporates text passages, figures, data or other material from the work of others, the submitting author has obtained any necessary permission.
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