A precise and accurate method for the identification and authentication of Phyllanthus niruri L. from P. debilis Klein ex Willd. and P. urinaria L., Phyllanthaceae, was developed using high-performance liquid chromatography. Chromatographic fingerprint analysis was combined with simultaneous quantification of phyllanthin and hypophyllanthin for the developed method. Phyllanthin and hypophyllanthin were successfully separated and quantified under this proposed method. The highest amount of phyllanthin and hypophyllanthin was found in P. niruri compared to P. debilis and P. urinaria. Fingerprint chromatogram of the three Phyllanthus species showed distinct profiles that these may be used to identify and authenticate each Phyllanthus species, which improved by marker compounds present in each species. The combination of chromatographic fingerprint analysis and discriminant analysis was successfully discriminated all three species, including P. niruri adulterated with P. debilis or P. urinaria. The method can be used for the identification and authentication of P. niruri from related species, such as P. debilis and P. urinaria.
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RN contributed in collecting and identifying plant samples, herbarium confection, running the laboratory work, analysis of the data, performing chromatographic analysis and drafting the paper. MR designed the study, supervised the laboratory work and contributed in collecting plant samples, statistical analysis and critical reading of the manuscript. WTW supervised the laboratory work and contributed in critical reading of the manuscript. SS contributed in critical reading and improvement of the manuscript. RH contributed in multivariate analysis. All authors have read the final manuscript and approved the submission.
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Nasrulloh, R., Rafi, M., Wahyuni, W.T. et al. HPLC fingerprint and simultaneous quantitative analysis of phyllanthin and hypophyllanthin for identification and authentication of Phyllanthus niruri from related species. Rev. Bras. Farmacogn. 28, 527–532 (2018). https://doi.org/10.1016/j.bjp.2018.04.014
- Fingerprint analysis