To establish a method for simultaneously determining the content of four glucosinolates and five flavonoids in leaves of Moringa oleifera via quantitative analysis of multi-components by single-marker(QAMS) and verify the feasibility and applicability of the established method. The glucosinolates and flavonoids were analyzed via Waters Acquity UPLC HSS T_3 column(2.1 mm × 100 mm, 1.8 μm). The gradient elution was carried out with the mobile phase composed of 0.1% formic acid-acetonitrile and 0.3% formic acid at the flow rate of 0.4 mL·min~(-1) and the column temperature of 40 ℃. The wavelengths for the detection of glucosinolates and flavonoids were 225 nm and 260 nm, respectively. With 4-O-(α-L-rhamnoyloxy)-benzyl glucosinolate and vecenin-2 as internal reference substances, the relative correction factors of four glucosinolates and five flavonoids were respectively calculated for determining the content of the 9 ingredients in leaves of M. oleifera. To verify the accuracy and feasibility of QAMS, we used internal standard method(ISM) and external standard method(ESM) to determine the content of glucosinolates and flavonoids, respectively. The t-test results showed that there was no significant difference in the content of glucosinolates obtained by ISM and QAMS methods or in the content of flavonoids obtained by ESM and QAMS methods. The content of glucosinolates and flavonoids varied among M. oleifera of different varieties and from different producing areas. The total glucosinolates and total flavonoids had the highest content in the Indian variety while the lowest content in the variety ■Honghe No. 1'. The established QAMS method is rapid, simple and accurate and can be used for simultaneous determination of glucosinolates and flavonoids in the leaves of M. oleifera. This study provides experimental data for the quality control and utilization of M. oleifera leaves.
Keywords: external standard method; flavonoids; glucosinolates; internal standard method; leaves of Moringa oleifera; quantitative analysis of multi-components by single-marker(QAMS).