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    ZHAO Yongheng, ZHANG Yong, QIN Zhiwang, DONG Yang, TANG Zhewei, CHEN Fuchao, LUO Xue, HAO. Analysis of Differences of Volatile Oil in Folium Artemisiae Argyi from Different Origins by GC-MS Fingerprint Chromatograms Combined with Chemometrics[J]. PHYSICAL TESTING AND CHEMICAL ANALYSIS PART B:CHEMICAL ANALYSIS, 2022, 58(11): 1277-1282. DOI: 10.11973/lhjy-hx202211007
    Citation: ZHAO Yongheng, ZHANG Yong, QIN Zhiwang, DONG Yang, TANG Zhewei, CHEN Fuchao, LUO Xue, HAO. Analysis of Differences of Volatile Oil in Folium Artemisiae Argyi from Different Origins by GC-MS Fingerprint Chromatograms Combined with Chemometrics[J]. PHYSICAL TESTING AND CHEMICAL ANALYSIS PART B:CHEMICAL ANALYSIS, 2022, 58(11): 1277-1282. DOI: 10.11973/lhjy-hx202211007

    Analysis of Differences of Volatile Oil in Folium Artemisiae Argyi from Different Origins by GC-MS Fingerprint Chromatograms Combined with Chemometrics

    • Folium Artemisiae argyi samples from 10 different origins were crushed, screened and extracted according to the Pharmacopoeia of the People's Republic of China (2020 Edition). After an aliquot (40 g) of the sample was taken, 700 mL of water and 100 mL of saturated sodium chloride solution were added. The mixture was heated at 100℃ for 5 h under reflux, and placed for 10 h. An aliquot (0.1 mL) was taken, diluted to 10 mL with n-hexane, and mixed with 1.0 g of anhydrous sodium sulfate. The above mixture was passed through a 0.22 μm filter membrane, and the filtrate was determined in accordance with the optimized operating conditions of the instrument. The GC-MS fingerprint chromatograms of the volatile oil in 10 batches of Folium Artemisiae argyi were established, and a total of 103 components with 21 common components were identified. The fingerprint chromatograms of the volatile oil in 10 batches of Folium Artemisiae argyi were imported into the similarity evaluation system of fingerprint chromatogram, and multi-point correction was made with the fingerprint of sample from Nanyang city in Henan province as the reference chromatogram and the chromatographic peak of eucalyptol as the reference peak. It was found by the results of similarity that the 10 batches of samples could be divided into three categories, in accordance with the subsequent classification results given by principal component analysis, partial least squares-discriminant analysis and hierarchical-cluster analysis of chromatographic peaks from 21 common components. Amoung which, the model of partial least squares-discriminant analysis had good fitting effect and the clustering effect.
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