Experimental design approach for the quantitative analysis of multicomponents by single marker and HPLC fingerprinting of Thunbergia laurifolia aqueous extract

Author:

Onsawang Thanapat1,Suwanvecho Chaweewan1ORCID,Sithisarn Pongtip2ORCID,Phechkrajang Chutima1ORCID,Rojsanga Piyanuch1ORCID

Affiliation:

1. Department of Pharmaceutical Chemistry, Faculty of Pharmacy Mahidol University Bangkok Thailand

2. Department of Pharmacognosy, Faculty of Pharmacy Mahidol University Bangkok Thailand

Abstract

AbstractIntroductionThunbergia laurifolia is used in traditional Thai medicine to reduce fever and treat mouth ulcers. However, the quantitative analysis of chemical markers has not yet been officially defined.ObjectiveThe objective of this study is to develop a high‐performance liquid chromatography (HPLC) method using a design of experiment (DoE) for the quantitative analysis of multicomponents by single marker (QAMS) and fingerprinting of the T. laurifolia aqueous extract.Materials and MethodsCritical variables were screened using a two‐level fractional factorial design, followed by the optimization of the selected variables using a central composite design. The validated method was applied for quality assessment based on QAMS and fingerprinting of the extract.ResultsOptimum conditions of DoE for the analysis of caffeic acid, vicenin‐2, and rosmarinic acid were determined. The relative correction factors for caffeic acid and vicenin‐2 were calculated using rosmarinic acid as an internal reference standard, and their contents in 30 samples were determined. The differences between the external standard method (ESM) and QAMS were compared. No significant difference was observed in the quantitative determination, proving the consistency QAMS and ESM. HPLC fingerprints of T. laurifolia were established with 8 of 12 characteristic peaks that were structurally characterized using HPLC‐diode array detection‐electrospray ionization/tandem mass spectrometry. The similarity of the fingerprints in all samples was ≥0.74, and the pattern recognition of the characteristic peaks was satisfied.ConclusionThe proposed method efficiently detected multiple components of the T. laurifolia extract. Thus, the method is beneficial in providing references for enhancing the quality control of other herbal medicines.

Publisher

Wiley

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