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| Optimization of near infrared spectroscopy detection method for fritillaria cirrhosa content in fritillaria mixture |
| Hits 956 Download times 599 Received:September 09, 2022 |
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| DOI
10.11656/j.issn.1673-9043.2022.06.17 |
| Key Words
near infrared spectroscopy;fritillaria;orthogonal test;parameter optimization;partial least squares regression |
| Author Name | Affiliation | E-mail | | QI Minghui | College of Pharmaceutical Engineering of Traditional Chinese Medcine, Tianjin University of Traditional Chinese Medcine, Tianjin 301617, China | | | HU Xueting | College of Pharmaceutical Engineering of Traditional Chinese Medcine, Tianjin University of Traditional Chinese Medcine, Tianjin 301617, China | | | ZHAO Jing | College of Pharmaceutical Engineering of Traditional Chinese Medcine, Tianjin University of Traditional Chinese Medcine, Tianjin 301617, China
State Key Laboratory of Components-based Chinese Medcine, Tianjin 301617, China | ydangliu@163.com | | LI Zheng | College of Pharmaceutical Engineering of Traditional Chinese Medcine, Tianjin University of Traditional Chinese Medcine, Tianjin 301617, China
State Key Laboratory of Components-based Chinese Medcine, Tianjin 301617, China | | | LIU Ming | Biomedical Engineering Institute, Chinese Academy of Medical Science, Tianjin 300192, China | | | LI Gang | State Key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin 300072, China | |
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| Abstract
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| Near-infrared spectroscopy (NIR) is used to detect the content of fritillaria cirrhosa in Chinese medicinal, which is easily affected by the collection conditions. The research proposes the application of orthogonal experimental design to optimize the NIR detection conditions of fritillaria,such as particle size,scanning times, resolution and gain are four parameters. The experiment obtained the NIR spectra of 109 fritillaria samples under 9 different levels of parameter combinations,and quantitative model is established based on partial least squares. Coefficient of determination (R2),root mean square error of prediction (RMSEP) and F value were used to evaluate the model. Experimental results showed that the scanning times had the greatest influence on the model accuracy, followed by particle size,resolution and gain. And when fritillaria powder passes through 120 mesh screen,the scanning times were 64,the resolution was 8 and the gain was 8,the prediction performance of the model was the best. Experimental results indicated that the four parameters would affect the detection results of fritillary,and the orthogonal experimental design could provide reference for the optimization of NIR quality detection parameters of fritillary powder. |
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