Differentiating Puerariae Lobatae Radix and Puerariae Thomsonii Radix using HPTLC coupled with multivariate classification analyses (2024)

Abstract

Puerariae Lobatae Radix (PLR), the root of Pueraria lobata, is a traditional Chinese medicine for treating diabetes and cardiovascular diseases. Puerariae Thomsonii Radix (PTR), the root of Pueraria thomsonii, is a closely related species to PLR and has been used as a PLR substitute in clinical practice. The aim of this study was to compare the classification accuracy of high performance thin-layer chromatography (HPTLC) with that of ultra-performance liquid chromatography (UPLC) in differentiating PLR from PTR. The Matlab functions were used to facilitate the digitalisation and pre-processing of the HPTLC plates. Seven multivariate classification methods were evaluated for the two chromatographic methods. The results demonstrated that the HPTLC classification models were comparable to the UPLC classification models. In particular, k-nearest neighbours, partial least square-discriminant analysis, principal component analysis-discriminant analysis and support vector machine-discriminant analysis showed the highest rate of correct species classification, whilst the lowest classification rate was obtained from soft independent modelling of class analogy. In conclusion, HPTLC combined with multivariate analysis is a promising technique for the quality control and differentiation of PLR and PTR.

Original languageEnglish
Pages (from-to)11-19
Number of pages9
JournalJournal of Pharmaceutical and Biomedical Analysis
Volume95
DOIs
Publication statusPublished - 2014

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Wong, K. H., Razmovski-Naumovski, V., Li, K. M., Li, G. Q., & Chan, K. (2014). Differentiating Puerariae Lobatae Radix and Puerariae Thomsonii Radix using HPTLC coupled with multivariate classification analyses. Journal of Pharmaceutical and Biomedical Analysis, 95, 11-19. https://doi.org/10.1016/j.jpba.2014.02.007

Wong, Ka H. ; Razmovski-Naumovski, Valentina ; Li, Kong M. et al. / Differentiating Puerariae Lobatae Radix and Puerariae Thomsonii Radix using HPTLC coupled with multivariate classification analyses. In: Journal of Pharmaceutical and Biomedical Analysis. 2014 ; Vol. 95. pp. 11-19.

@article{fda95e31491049ab889a7f3f68dd6b52,

title = "Differentiating Puerariae Lobatae Radix and Puerariae Thomsonii Radix using HPTLC coupled with multivariate classification analyses",

abstract = "Puerariae Lobatae Radix (PLR), the root of Pueraria lobata, is a traditional Chinese medicine for treating diabetes and cardiovascular diseases. Puerariae Thomsonii Radix (PTR), the root of Pueraria thomsonii, is a closely related species to PLR and has been used as a PLR substitute in clinical practice. The aim of this study was to compare the classification accuracy of high performance thin-layer chromatography (HPTLC) with that of ultra-performance liquid chromatography (UPLC) in differentiating PLR from PTR. The Matlab functions were used to facilitate the digitalisation and pre-processing of the HPTLC plates. Seven multivariate classification methods were evaluated for the two chromatographic methods. The results demonstrated that the HPTLC classification models were comparable to the UPLC classification models. In particular, k-nearest neighbours, partial least square-discriminant analysis, principal component analysis-discriminant analysis and support vector machine-discriminant analysis showed the highest rate of correct species classification, whilst the lowest classification rate was obtained from soft independent modelling of class analogy. In conclusion, HPTLC combined with multivariate analysis is a promising technique for the quality control and differentiation of PLR and PTR.",

author = "Wong, {Ka H.} and Valentina Razmovski-Naumovski and Li, {Kong M.} and Li, {George Q.} and Kelvin Chan",

year = "2014",

doi = "10.1016/j.jpba.2014.02.007",

language = "English",

volume = "95",

pages = "11--19",

journal = "Journal of Pharmaceutical and Biomedical Analysis",

issn = "0731-7085",

publisher = "Elsevier",

}

Wong, KH, Razmovski-Naumovski, V, Li, KM, Li, GQ & Chan, K 2014, 'Differentiating Puerariae Lobatae Radix and Puerariae Thomsonii Radix using HPTLC coupled with multivariate classification analyses', Journal of Pharmaceutical and Biomedical Analysis, vol. 95, pp. 11-19. https://doi.org/10.1016/j.jpba.2014.02.007

Differentiating Puerariae Lobatae Radix and Puerariae Thomsonii Radix using HPTLC coupled with multivariate classification analyses. / Wong, Ka H.; Razmovski-Naumovski, Valentina; Li, Kong M. et al.
In: Journal of Pharmaceutical and Biomedical Analysis, Vol. 95, 2014, p. 11-19.

Research output: Contribution to journalArticlepeer-review

TY - JOUR

T1 - Differentiating Puerariae Lobatae Radix and Puerariae Thomsonii Radix using HPTLC coupled with multivariate classification analyses

AU - Wong, Ka H.

AU - Razmovski-Naumovski, Valentina

AU - Li, Kong M.

AU - Li, George Q.

AU - Chan, Kelvin

PY - 2014

Y1 - 2014

N2 - Puerariae Lobatae Radix (PLR), the root of Pueraria lobata, is a traditional Chinese medicine for treating diabetes and cardiovascular diseases. Puerariae Thomsonii Radix (PTR), the root of Pueraria thomsonii, is a closely related species to PLR and has been used as a PLR substitute in clinical practice. The aim of this study was to compare the classification accuracy of high performance thin-layer chromatography (HPTLC) with that of ultra-performance liquid chromatography (UPLC) in differentiating PLR from PTR. The Matlab functions were used to facilitate the digitalisation and pre-processing of the HPTLC plates. Seven multivariate classification methods were evaluated for the two chromatographic methods. The results demonstrated that the HPTLC classification models were comparable to the UPLC classification models. In particular, k-nearest neighbours, partial least square-discriminant analysis, principal component analysis-discriminant analysis and support vector machine-discriminant analysis showed the highest rate of correct species classification, whilst the lowest classification rate was obtained from soft independent modelling of class analogy. In conclusion, HPTLC combined with multivariate analysis is a promising technique for the quality control and differentiation of PLR and PTR.

AB - Puerariae Lobatae Radix (PLR), the root of Pueraria lobata, is a traditional Chinese medicine for treating diabetes and cardiovascular diseases. Puerariae Thomsonii Radix (PTR), the root of Pueraria thomsonii, is a closely related species to PLR and has been used as a PLR substitute in clinical practice. The aim of this study was to compare the classification accuracy of high performance thin-layer chromatography (HPTLC) with that of ultra-performance liquid chromatography (UPLC) in differentiating PLR from PTR. The Matlab functions were used to facilitate the digitalisation and pre-processing of the HPTLC plates. Seven multivariate classification methods were evaluated for the two chromatographic methods. The results demonstrated that the HPTLC classification models were comparable to the UPLC classification models. In particular, k-nearest neighbours, partial least square-discriminant analysis, principal component analysis-discriminant analysis and support vector machine-discriminant analysis showed the highest rate of correct species classification, whilst the lowest classification rate was obtained from soft independent modelling of class analogy. In conclusion, HPTLC combined with multivariate analysis is a promising technique for the quality control and differentiation of PLR and PTR.

UR - http://handle.uws.edu.au:8081/1959.7/547333

U2 - 10.1016/j.jpba.2014.02.007

DO - 10.1016/j.jpba.2014.02.007

M3 - Article

SN - 0731-7085

VL - 95

SP - 11

EP - 19

JO - Journal of Pharmaceutical and Biomedical Analysis

JF - Journal of Pharmaceutical and Biomedical Analysis

ER -

Wong KH, Razmovski-Naumovski V, Li KM, Li GQ, Chan K. Differentiating Puerariae Lobatae Radix and Puerariae Thomsonii Radix using HPTLC coupled with multivariate classification analyses. Journal of Pharmaceutical and Biomedical Analysis. 2014;95:11-19. doi: 10.1016/j.jpba.2014.02.007

Differentiating Puerariae Lobatae Radix and Puerariae Thomsonii Radix using HPTLC coupled with multivariate classification analyses (2024)
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