The identification and quantification of natural products is laborious, due to the complexity of plant extracts and the limited availability of pure reference standards [1]. This study aims to evaluate the precision of plant metabolite quantification in high performance liquid chromatography (HPLC) coupled with different detectors (PDA and MS), focusing on semi-quantification which occurs when the reference standard is not available. As a case study, an extract from Punica granatum L. leaves was selected. Although these non-edible plant parts are usually discarded, they have been proven to be a valuable source of bioactive metabolites. Their traditional medicinal use is documented, and in vitro studies have demonstrated beneficial effects, including inhibition of Zika virus infection and HIV-1 reverse transcriptase and integrase [2,3,4]. In this work the performance of PDA and MS in different acquisition modes (SIM and SRM) is compared for the quantification of luteolin 4’-O-glucoside, a major compound of the extract [1,2]. Quantification precision was calculated as percentage relative error, comparing the results with the calibration curve generated with either the reference standard or a similar compound, i.e. kaempferol 3-O-glucoside. As expected, quantification with the reference standard is more accurate, while semi-quantification gives higher percentage relative errors, especially with MS, due to differences in compound responses. To address this issue, a correction method using a correction factor is proposed to compensate for the over-and underestimation in semi-quantification. This approach led to promising results.
Quantification of natural compounds in medicinal plant extracts: a case study on the leaf extract of Punica granatum L.
Arianna MarengoFirst
;Cecilia Cagliero;Giulia Menzio;Barbara Sgorbini;Manuela Donalisio;Patrizia Rubiolo
2025-01-01
Abstract
The identification and quantification of natural products is laborious, due to the complexity of plant extracts and the limited availability of pure reference standards [1]. This study aims to evaluate the precision of plant metabolite quantification in high performance liquid chromatography (HPLC) coupled with different detectors (PDA and MS), focusing on semi-quantification which occurs when the reference standard is not available. As a case study, an extract from Punica granatum L. leaves was selected. Although these non-edible plant parts are usually discarded, they have been proven to be a valuable source of bioactive metabolites. Their traditional medicinal use is documented, and in vitro studies have demonstrated beneficial effects, including inhibition of Zika virus infection and HIV-1 reverse transcriptase and integrase [2,3,4]. In this work the performance of PDA and MS in different acquisition modes (SIM and SRM) is compared for the quantification of luteolin 4’-O-glucoside, a major compound of the extract [1,2]. Quantification precision was calculated as percentage relative error, comparing the results with the calibration curve generated with either the reference standard or a similar compound, i.e. kaempferol 3-O-glucoside. As expected, quantification with the reference standard is more accurate, while semi-quantification gives higher percentage relative errors, especially with MS, due to differences in compound responses. To address this issue, a correction method using a correction factor is proposed to compensate for the over-and underestimation in semi-quantification. This approach led to promising results.| File | Dimensione | Formato | |
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