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Chinese Traditional Patent Medicine ; (12): 2064-2068, 2017.
Article de Chinois | WPRIM | ID: wpr-657963

RÉSUMÉ

AIM To establish a UPLC-MS/MS combined with pattern recognition method for the simultaneous content determination of danshensu,protocatechuic acid,protocatechuic aldehyde,caffeic acid,rosmarinic,salvianolic acid B,salvianolic acid A,tanshinone Ⅰ,cryptotanshinone,tanshinone ⅡA and ursolic acid in Qishen Yiqi Dropping Pills (Astragali Radix,Salviae miltiorrhizae Radix et Rhizoma,Notoginseng Radix et Rhizoma,etc.).METHODS The analysis of 50% methanol extract of this drug was performed on a 40 ℃ thermostatic ACQUITY UPLC(R) BEH C1s column (2.1 mm ×50 mm,1.8 μm),with the mobile phase comprising of acetonitrile-0.1% formic acid flowing at 0.2 mL/min in a gradient elution manner.Then SIMCA14.0 software was adopted in the pattern recognition.RESULTS Eleven constituents showed good linear relationships within their own ranges (r ≥ 0.999 6),whose average recoveries were 98.45%-101.38% with the RSDs of 1.70%-2.40%.The quality deviations of ten batches of samples were all within 2 std (standard deviation).CON CLUSION This simple,sensitive and accurate method can be used for the quality control of Qishen Yiqi Dropping Pills.

2.
Chinese Traditional Patent Medicine ; (12): 2064-2068, 2017.
Article de Chinois | WPRIM | ID: wpr-660572

RÉSUMÉ

AIM To establish a UPLC-MS/MS combined with pattern recognition method for the simultaneous content determination of danshensu,protocatechuic acid,protocatechuic aldehyde,caffeic acid,rosmarinic,salvianolic acid B,salvianolic acid A,tanshinone Ⅰ,cryptotanshinone,tanshinone ⅡA and ursolic acid in Qishen Yiqi Dropping Pills (Astragali Radix,Salviae miltiorrhizae Radix et Rhizoma,Notoginseng Radix et Rhizoma,etc.).METHODS The analysis of 50% methanol extract of this drug was performed on a 40 ℃ thermostatic ACQUITY UPLC(R) BEH C1s column (2.1 mm ×50 mm,1.8 μm),with the mobile phase comprising of acetonitrile-0.1% formic acid flowing at 0.2 mL/min in a gradient elution manner.Then SIMCA14.0 software was adopted in the pattern recognition.RESULTS Eleven constituents showed good linear relationships within their own ranges (r ≥ 0.999 6),whose average recoveries were 98.45%-101.38% with the RSDs of 1.70%-2.40%.The quality deviations of ten batches of samples were all within 2 std (standard deviation).CON CLUSION This simple,sensitive and accurate method can be used for the quality control of Qishen Yiqi Dropping Pills.

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