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Abstract

A Study on Rapid Non-destructive Detection of Eugenol in Caryophylli Flos by NIR Spectroscopy and Partial Least Square

Author(s): Hui Yan*, Mengxing Liang and Bangxing Han1,2
School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang 212000, 1College of Biological and Pharmaceutical Engineering, West Anhui University, Lu’an 237012, 2National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China

Correspondence Address:
School of Biotechnology, Jiangsu University of Science and Technology, Zhenjiang 212000, China, E-mail: [email protected]


A method for rapid non-destructive detection of eugenol in caryophylli flos was developed with near-infrared spectroscopy and chemometrics. One hundred and three samples were collected, and gas chromatography with internal standard was used to determine the reference value of eugenol in caryophylli flos. Near-infrared spectra were recorded from their powders and pretreated with standard normal variate and 1st derivative, and then a model was built with the chemometrics method, partial least square. Outliers of samples were detected. When 6 factors were adopted in a model, the performance was found to be the best. For prediction set, the slope was 0.9461, the offset was 0.3008, R-square was 0.9388, root mean square error of prediction was 0.6987 %, bias was -0.2815 % and residual prediction deviation was 5.89. The statistical analysis showed the predicted results were consistent with the reference values. It is feasible that near-infrared spectroscopy could be used to rapidly and accurately detect the main active content, eugenol in caryophylli flos as a method of quality control.



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