Differentiating Puerariae Lobatae Radix and Puerariae Thomsonii Radix using HPTLC coupled with multivariate classification analyses

Journal of Pharmaceutical and Biomedical Analysis

Volumn 95, Issue , 2014, Pages 11-19

  Wong, Ka H ^a   Razmovski Naumovski, Valentina ^a,b   Li, Kong M ^a   Li, George Q ^a   Chan, Kelvin ^a,b  

^a UNIVERSITY OF SYDNEY   (Australia)

^b WESTERN SYDNEY UNIVERSITY   (Australia)

Author keywords

HPTLC; Multivariate analysis; Puerariae Lobatae Radix; Puerariae Thomsonii Radix; Traditional Chinese medicine

Indexed keywords

PUERARIA EXTRACT;

ARTICLE; CLASSIFICATION ALGORITHM; CONTROLLED STUDY; DIGITALIZATION; HIGH PERFORMANCE THIN LAYER CHROMATOGRAPHY; K NEAREST NEIGHBOR; NONHUMAN; PLANT ROOT; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PUERARIA; PUERARIA LOBATA; PUERARIA THOMSONII; PUERARIAE THOMSONII RADIX; QUALITY CONTROL; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINE; ULTRA PERFORMANCE LIQUID CHROMATOGRAPHY; CHEMISTRY; CHINESE MEDICINE; CLASSIFICATION; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; PROCEDURES; THIN LAYER CHROMATOGRAPHY;

CHROMATOGRAPHY, HIGH PRESSURE LIQUID; CHROMATOGRAPHY, THIN LAYER; LEAST-SQUARES ANALYSIS; MEDICINE, CHINESE TRADITIONAL; PLANT ROOTS; PRINCIPAL COMPONENT ANALYSIS; PUERARIA;

EID: 84896101266     PISSN: 07317085     EISSN: 1873264X     Source Type: Journal    
DOI: 10.1016/j.jpba.2014.02.007     Document Type: Article

References (43)

1. Wong K.H., Li G.Q., Li K.M., Razmovski-Naumovski V., Chan K. Kudzu root: traditional uses and potential medicinal benefits in diabetes and cardiovascular diseases. J. Ethnopharmacol. 2011, 134:584-607.
2. Pharmacopoeia of the People's Republic of China Chinese Pharmacopoeia Commission 2010, 272. People's Medical Publishing House, Beijing, China.
3. Pharmacopoeia of the People's Republic of China Chinese Pharmacopoeia Commission 2010, 313-321. People's Medical Publishing House, Beijing, China.
4. Jiang R.W., Lau K.M., Lam H.M., Yam W.S., Leung L.K., Choi K.L., Waye M.M., Mak T.C., Woo K.S., Fung K.P. A comparative study on aqueous root extracts of Pueraria thomsonii and Pueraria lobata by antioxidant assay and HPLC fingerprint analysis. J. Ethnopharmacol. 2005, 96:133-138.
5. Wong K.H., Razmovski-Naumovski V., Li K.M., Li G.Q., Chan K. Differentiation of Pueraria lobata and Pueraria thomsonii using partial least square discriminant analysis (PLS-DA). J. Pharm. Biomed. Anal. 2013, 84:5-13.
6. Gad H.A., El-Ahmady S.H., Abou-Shoer M.I., Al-Azizi M.M. Application of chemometrics in authentication of herbal medicines: a review. Phytochem. Anal. 2013, 24:1-24.
7. Tistaert C., Dejaegher B., Vander Heyden Y. Chromatographic separation techniques and data handling methods for herbal fingerprints: a review. Anal. Chim. Acta 2011, 690:148-161.
8. Liang Y., Xie P., Chau F. Chromatographic fingerprinting and related chemometric techniques for quality control of traditional Chinese medicines. J. Sep. Sci. 2010, 33:410-421.
9. Sherma J. Biennial review of planar chromatography: 2009-2011. J. AOAC Int. 2012, 95:992-1009.
10. Marston A. Thin-layer chromatography with biological detection in phytochemistry. J. Chromatogr. A 2011, 1218:2676-2683.
11. Munck L., Nørgaard L., Engelsen S.B., Bro R., Andersson C.A. Chemometrics in food science-a demonstration of the feasibility of a highly exploratory, inductive evaluation strategy of fundamental scientific significance. Chemom. Intell. Lab. Syst. 1998, 44:31-60.
12. Thanasoulias N.C., Parisis N.A., Evmiridis N.P. Multivariate chemometrics for the forensic discrimination of blue ball-point pen inks based on their Vis spectra. Forensic Sci. Int. 2003, 138:75-84.
13. Mas S., de Juan A., Tauler R., Olivieri A.C., Escandar G.M. Application of chemometric methods to environmental analysis of organic pollutants: a review. Talanta 2010, 80:1052-1067.
14. Yetukuri L., Katajamaa M., Medina-Gomez G., Seppanen-Laakso T., Vidal-Puig A., Oresic M. Bioinformatics strategies for lipidomics analysis: characterization of obesity related hepatic steatosis. BMC Syst. Biol. 2007, 1:12.
15. Roggo Y., Chalus P., Maurer L., Lema-Martinez C., Edmond A., Jent N. A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies. J. Pharm. Biomed. Anal. 2007, 44:683-700.
16. Rousseau R., Govaerts B., Verleysen M., Boulanger B. Comparison of some chemometric tools for metabonomics biomarker identification. Chemom. Intell. Lab. Syst. 2008, 91:54-66.
17. Lee K.R., Lin X., Park D.C., Eslava S. Megavariate data analysis of mass spectrometric proteomics data using latent variable projection method. Proteomics 2003, 3:1680-1686.
18. Eriksson L., Antti H., Gottfries J., Holmes E., Johansson E., Lindgren F., Long I., Lundstedt T., Trygg J., Wold S. Using chemometrics for navigating in the large data sets of genomics, proteomics, and metabonomics (gpm). Anal. Bioanal. Chem. 2004, 380:419-429.
19. Alaerts G., Dejaegher B., Smeyers-Verbeke J., Vander Heyden Y. Recent developments in chromatographic fingerprints from herbal products: set-up and data analysis. Comb. Chem. High Throughput Screen. 2010, 13:900-922.
20. Martins L.R., Pereira-Filho E.R., Cass Q.B. Chromatographic profiles of Phyllanthus aqueous extracts samples: a proposition of classification using chemometric models. Anal. Bioanal. Chem. 2011, 400:469-481.
21. Tian R.T., Xie P.S., Liu H.P. Evaluation of traditional Chinese herbal medicine: Chaihu (Bupleuri Radix) by both high-performance liquid chromatographic and high-performance thin-layer chromatographic fingerprint and chemometric analysis. J. Chromatogr. A 2009, 1216:2150-2155.
22. Yang S.O., Shin Y.S., Hyun S.H., Cho S., Bang K.H., Lee D., Choi S.P., Choi H.K. NMR-based metabolic profiling and differentiation of ginseng roots according to cultivation ages. J. Pharm. Biomed. Anal. 2012, 58:19-26.
23. Lai Y., Ni Y., Kokot S. Discrimination of Rhizoma Corydalis from two sources by near-infrared spectroscopy supported by the wavelet transform and least-squares support vector machine methods. Vib. Spectrosc. 2011, 56:154-160.
24. Chen S.B., Liu H.P., Tian R.T., Yang D.J., Chen S.L., Xu H.X., Chan A.S., Xie P.S. High-performance thin-layer chromatographic fingerprints of isoflavonoids for distinguishing between Radix Puerariae Lobate and Radix Puerariae Thomsonii. J. Chromatogr. A 2006, 1121:114-119.
25. Lau C.C., Chan C.O., Chau F.T., Mok D.K. Rapid analysis of Radix puerariae by near-infrared spectroscopy. J. Chromatogr. A 2009, 1216:2130-2135.
26. Chen Y.G., Song Y.L., Wang Y., Yuan Y.F., Huang X.J., Ye W.C., Wang Y.T., Zhang Q.W. Metabolic differentiations of Pueraria lobata and Pueraria thomsonii using H NMR spectroscopy and multivariate statistical analysis. J. Pharm. Biomed. Anal. 2013, 10.1016/j.jpba.2013.05.017.
27. CAMAG, TLC/HPTLC methods. (accessed 27.01.14). http://www.camag.com/en/tlc_hptlc/camag_laboratory/methods.cfm.
28. Bromba M.U.A., Ziegler H. Application hints for Savitzky-Golay digital smoothing filters. Anal. Chem. 1981, 53:1583-1586.
29. Eilers P.H. A perfect smoother. Anal. Chem. 2003, 75:3631-3636.
30. Skov T., van der Berg F., Tomasi G., Bro R. Automated alignment of chromatographic data. J. Chemometr. 2007, 20:484-497.
31. Wu W., Walczak B., Massart D.L., Heuerding S., Erni F., Last I.R., Prebble K.A. Artificial neural networks in classification of NIR spectral data: design of the training set. Chemom. Intell. Lab. Syst. 1996, 33:35-46.
32. Kennard R.W., Stone L.A. Computer aided design of experiments. Technometrics 1969, 11:137-148.
33. Zadeh L.A. Fuzzy sets. Inform. Control 1965, 8:338-353.
34. Breiman L., Friedman J.H., Olshen R.A., Stone C.J. Classification and Regression Trees 1984, Wadsworth, Monterey.
35. Araújo M.C.U., Saldanha T.C.B., Galvão R.K.H., Yoneyama T., Chame H.C., Visani V. The successive projections algorithm for variable selection in spectroscopic multicomponent analysis. Chemom. Intell. Lab. Syst. 2001, 57:65-73.
36. Frank I.E., Lanteri S. Classification models: discriminant analysis, SIMCA, CART. Chemom. Intell. Lab. Syst. 1989, 5:247-256.
37. Vapnik V.N. The Nature of Statistical Learning Theory 1999, Springer, CA, USA. 2nd ed.
38. Ballabio D., Consonni V. Classification tools in chemistry. Part 1: linear models. PLS-DA. Anal. Meth. 2013, 5:3790-3798.
39. Daszykowski M., Walczak B., Massart D.L. Representative subset selection. Anal. Chim. Acta 2002, 468:91-103.
40. Varmuza K., Filzmoser P. Introduction to Multivariate Statistical Analysis in Chemometrics 2008, 31-62. CRC Press, Boca Raton, Florida, USA.
41. Barnes R.J., Dhanoa M.S., Lister S.J. Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Appl. Spectrosc. 1989, 43:772-777.
42. Tistaert C., Dejaegher B., Chataigne G., Van Minh C., Quetin-Leclercq J., Vander Heyden Y. Dissimilar chromatographic systems to indicate and identify antioxidants from Mallotus species. Talanta 2011, 83:1198-1208.
43. Balabin R.M., Safieva R.Z., Lomakina E.I. Near-infrared (NIR) spectroscopy for motor oil classification: from discriminant analysis to support vector machines. Microchem. J. 2011, 98:121-128.