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Quality control and discrimination of pericarpium citri reticulatae and pericarpium citri reticulatae viride based on high-performance liquid chromatographic fingerprints and multivariate statistical analysis.
Anal Chim Acta. 2007 Apr 11; 588(2):207-15.AC

Abstract

High-performance liquid chromatographic (HPLC) fingerprints of pericarpium citri reticulatae (PCR) and pericarpium citri reticulatae viride (PCRV) were firstly measured for deliberately collected 39 authentic samples and 21 commercial samples. Both correlation coefficients of similarity for chromatograms and absolute peak areas of characteristic compounds were calculated for quantitative expression of the HPLC fingerprints. After principal component analysis (PCA) successfully distinguished the 'mixed peels' samples from authentic samples, partial least squares-linear discrimination analysis (PLS-LDA) was then effectively applied to class separation between authentic PCR and PCRV. Furthermore, the unequivocally determined compounds, hesperidin, nobiletin and tangeretin, were screened out by loadings plots of PCA and PLS-LDA. The results indicated that they could be used as chemical markers for discrimination among different groups of samples. The proposed method shows an efficient strategy for quality control of PCR and PCRV, which cannot only distinguish the 'mixed peels' but also discriminate authentic PCR and PCRV. This method has potential perspective for quality control of traditional Chinese medicine (TCM).

Authors+Show Affiliations

Research Center of Modernization of Chinese Medicines, Central South University, Changsha 410083, PR China.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

17386812

Citation

Yi, Lun-zhao, et al. "Quality Control and Discrimination of Pericarpium Citri Reticulatae and Pericarpium Citri Reticulatae Viride Based On High-performance Liquid Chromatographic Fingerprints and Multivariate Statistical Analysis." Analytica Chimica Acta, vol. 588, no. 2, 2007, pp. 207-15.
Yi LZ, Yuan DL, Liang YZ, et al. Quality control and discrimination of pericarpium citri reticulatae and pericarpium citri reticulatae viride based on high-performance liquid chromatographic fingerprints and multivariate statistical analysis. Anal Chim Acta. 2007;588(2):207-15.
Yi, L. Z., Yuan, D. L., Liang, Y. Z., Xie, P. S., & Zhao, Y. (2007). Quality control and discrimination of pericarpium citri reticulatae and pericarpium citri reticulatae viride based on high-performance liquid chromatographic fingerprints and multivariate statistical analysis. Analytica Chimica Acta, 588(2), 207-15.
Yi LZ, et al. Quality Control and Discrimination of Pericarpium Citri Reticulatae and Pericarpium Citri Reticulatae Viride Based On High-performance Liquid Chromatographic Fingerprints and Multivariate Statistical Analysis. Anal Chim Acta. 2007 Apr 11;588(2):207-15. PubMed PMID: 17386812.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Quality control and discrimination of pericarpium citri reticulatae and pericarpium citri reticulatae viride based on high-performance liquid chromatographic fingerprints and multivariate statistical analysis. AU - Yi,Lun-zhao, AU - Yuan,Da-lin, AU - Liang,Yi-zeng, AU - Xie,Pei-shan, AU - Zhao,Yu, Y1 - 2007/02/15/ PY - 2006/08/17/received PY - 2007/01/16/revised PY - 2007/02/07/accepted PY - 2007/3/28/pubmed PY - 2007/6/1/medline PY - 2007/3/28/entrez SP - 207 EP - 15 JF - Analytica chimica acta JO - Anal Chim Acta VL - 588 IS - 2 N2 - High-performance liquid chromatographic (HPLC) fingerprints of pericarpium citri reticulatae (PCR) and pericarpium citri reticulatae viride (PCRV) were firstly measured for deliberately collected 39 authentic samples and 21 commercial samples. Both correlation coefficients of similarity for chromatograms and absolute peak areas of characteristic compounds were calculated for quantitative expression of the HPLC fingerprints. After principal component analysis (PCA) successfully distinguished the 'mixed peels' samples from authentic samples, partial least squares-linear discrimination analysis (PLS-LDA) was then effectively applied to class separation between authentic PCR and PCRV. Furthermore, the unequivocally determined compounds, hesperidin, nobiletin and tangeretin, were screened out by loadings plots of PCA and PLS-LDA. The results indicated that they could be used as chemical markers for discrimination among different groups of samples. The proposed method shows an efficient strategy for quality control of PCR and PCRV, which cannot only distinguish the 'mixed peels' but also discriminate authentic PCR and PCRV. This method has potential perspective for quality control of traditional Chinese medicine (TCM). SN - 1873-4324 UR - https://www.unboundmedicine.com/medline/citation/17386812/Quality_control_and_discrimination_of_pericarpium_citri_reticulatae_and_pericarpium_citri_reticulatae_viride_based_on_high_performance_liquid_chromatographic_fingerprints_and_multivariate_statistical_analysis_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0003-2670(07)00313-3 DB - PRIME DP - Unbound Medicine ER -