Details

Autor(en) / Beteiligte

• Tong, Gao-Yan
• Wu, Hai-Long
• Wang, Tong
• Chang, Yue-Yue
• Chen, Yao
• Yang, Jian
• Fu, Hai-Yan
• Yang, Xiao-Long
• Li, Xu-Fu
• Yu, Ru-Qin

Titel

Analysis of active compounds and geographical origin discrimination of Atractylodes macrocephala Koidz. by using high performance liquid chromatography-diode array detection fingerprints combined with chemometrics

Ist Teil von

• Journal of Chromatography A, 2022-07, Vol.1674, p.463121, Article 463121

Ort / Verlag

Elsevier B.V

Erscheinungsjahr

2022

Link zum Volltext

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• •ATLD algorithm assisted HPLC-DAD strategy was presented for simultaneous quantification 12 active compounds in AM.•A series of experimental results demonstrate the reliability of the “second-order advantage”.•113 AM samples from three origins were correctly classified by using HPLC-DAD fingerprints combined with chemometrics.•4 characteristic compounds were screened and identified as chemical markers by VIP analysis.•There are correlations between active compounds and geographical origins of AM. In this work, a simple and effective strategy for the determination of 12 active compounds of Atractylodes macrocephala Koidz. (AM) was proposed by using high performance liquid chromatography-diode array detection (HPLC-DAD) combined with alternating trilinear decomposition (ATLD) algorithm. Utilizing the "second-order advantage", three common problems in HPLC could be resolved, namely baseline drifts, peak overlaps, and unknown interferences. 12 compounds were rapidly eluted within 12.5 min, and the average spiked recoveries were 80.8–109.9%. The figures of merit reflected the feasibility of the proposed method. Compared with the results of the traditional univariate calibration method based on HPLC-UV technique, the proposed strategy further verified the reliability and simplicity of the mathematical separation. On this basis, partial least squares-discriminant analysis (PLS-DA) was applied to discriminate 113 AM samples from different geographical origins, and variable importance in projection (VIP) was used to further screen the main differential components that affect the regional division of AM. A series of results show that the AM samples from the three regions have obviously different clustering trends. Overall, the strategy is expected to provide a scientific basis for the modern research of medicinal materials, and it is also conducive to the clinical use and market supervision of AM.