Exploring Effect of Concentration on Quantitative Accuracy of QAMS by Taking Ginsenosides as an Example / 中国实验方剂学杂志

ObjectiveTo investigate the influence of concentration ratio（CR） between the internal reference and target components on the quantitative accuracy of quantitative analysis of multi-components by single marker（QAMS） by taking ginsenosides as an example. MethodUltra performance liquid chromatography（UPLC） was employed， the contents of nine components in Ginseng Radix et Rhizoma（ginsenosides Rg1， Re， Rf， Rh1， Rb1， Rc， Rb2， Rb3， Rd） were determined by external standard method（ES）. Using ginsenoside Rg1 as the internal reference， the contents of the remaining 8 ginsenosides were determined by QAMS， and the quantitative results were compared with those of ES to evaluate the quantitative accuracy of the established QAMS. According to the contents of these 9 ginsenosides， the simulated sample solutions with different CRs of ginsenoside Rg1 to ginsenosides Rf， Rb2， Rd were prepared with the reference substance（CR=100∶1， 10∶1， 5∶1， 2∶1， 1∶1， 0.5∶1， 0.25∶1）， in order to validate the effect of the CRs between the internal reference and other components on the quantitative accuracy of the QAMS. ResultThe results of ginsenosides Re， Rf， Rb1， Rc， Rb2 calculated by the two methods were the same with the relative standard deviation（RSD）<3%， however， the results of ginsenosides Rh1， Rb3 and Rd calculated by the two methods were different with RSDs of 7.06%-9.61%. According to the result of the simulated sample solution， the difference between the calculated results of ES and QAMS was large when the CR between the internal reference（ginsenoside Rg1） and other components was 5 or 10 or even higher. ConclusionThe quantitative error of QAMS will increase when the CR between the quantitative component and the internal reference is too large， so it is suggested that when establishing the QAMS， the components with close concentration to the internal reference should be selected for quantification.

Determination and Mechanism Prediction of Potential Active Ingredients in Erdongtang Based on UHPLC-QqQ-MS and Network Pharmacology / 中国实验方剂学杂志

ObjectiveTo establish an ultra-high performance liquid chromatography-tandem triple quadrupole mass spectrometry（UHPLC-QqQ-MS） for determination of the active ingredients in Erdongtang， and to predict the targets and pathways of anti-insulin resistance action of this formula. MethodThe analysis was performed on an ACQUITY UPLC BEH C18 column（2.1 mm×100 mm， 1.7 μm） with the mobile phase of 0.1% formic acid aqueous solution（A）-acetonitrile（B） for gradient elution（0-3 min， 90%-87%A； 3-6 min， 87%-86%A； 6-9 min， 86%-83%A； 9-11 min， 83%-75%A； 11-18 min， 75%-70%A； 18-19 min， 70%-52%A； 19-22 min， 52%A； 22-25 min， 52%-5%A； 25-27 min， 5%-90%A； 27-30 min， 90%A）. The contents of active ingredients in Erdongtang was detected by electrospray ionization（ESI） and multiple reaction monitoring（MRM） mode under positive and negative ion modes. On this basis， network pharmacology was applied to predict the targets and pathways of Erdongtang exerting anti-insulin resistance effect. ResultThe 20 active ingredients in Erdongtang showed good linear relationships within a certain mass concentration range， and the precision， stability， repeatability and recovery rate were good. The results of determination showed that the ingredients with high content in 15 batches of samples were baicalein（1 259.39-1 635.78 mg·L-1）， baicalin（1 078.37-1 411.52 mg·L-1）， the ingredients with medium content were mangiferin（148.59-217.04 mg·L-1）， timosaponin BⅡ（245.10-604.89 mg·L-1）， quercetin-3-O-glucuronide（89.30-423.26 mg·L-1）， rutin（46.91-1 553.61 mg·L-1）， glycyrrhizic acid（55.97-391.47 mg·L-1）， neomangiferin（37.45-127.03 mg·L-1）， nuciferine（0.89-63.48 mg·L-1）， hyperoside（6.96-136.78 mg·L-1）， liquiritin（30.89-122.78 mg·L-1）， liquiritigenin（26.64-110.67 mg·L-1）， protodioscin（58.57-284.26 mg·L-1）， the ingredients with low content were wogonin（7.16-20.74 mg·L-1）， pseudoprotodioscin（5.49-22.96 mg·L-1）， ginsenoside Rb1（7.31-23.87 mg·L-1）， ginsenoside Rg1（10.78-28.33 mg·L-1）， ginsenoside Re（7.78-24.76 mg·L-1）， ophiopogonin D（2.08-4.29 mg·L-1）， methylophiopogonanone A（0.74-1.67 mg·L-1）. The results of network pharmacology indicated that the mechanism of anti-insulin resistance exerted by Erdongtang might be related to the phosphatidylinositol 3-kinase/protein kinase B（PI3K/Akt） signaling pathway. ConclusionThe established UHPLC-QqQ-MS has the advantages of simple sample processing， strong exclusivity and high sensitivity， and can simultaneously determine the contents of the main ingredients from seven herbs in Erdongtang， which can lay the foundation for the development of Erdongtang compound preparations. The results of the network pharmacology can provide a reference for the mechanism study of Erdongtang in the treatment of type 2 diabetes mellitus.

Progress and prediction of multicomponent quantification in complex systems with practical LC-UV methods / 药物分析学报

Complex systems exist widely,including medicines from natural products,functional foods,and bio-logical samples.The biological activity of complex systems is often the result of the synergistic effect of multiple components.In the quality evaluation of complex samples,multicomponent quantitative analysis(MCQA)is usually needed.To overcome the difficulty in obtaining standard products,scholars have proposed achieving MCQA through the"single standard to determine multiple components(SSDMC)"approach.This method has been used in the determination of multicomponent content in natural source drugs and the analysis of impurities in chemical drugs and has been included in the Chinese Pharmacopoeia.Depending on a convenient(ultra)high-performance liquid chromatography method,how can the repeatability and robustness of the MCQA method be improved?How can the chromatography conditions be optimized to improve the number of quantitative components?How can computer software technology be introduced to improve the efficiency of multicomponent analysis(MCA)?These are the key problems that remain to be solved in practical MCQA.First,this review article summarizes the calculation methods of relative correction factors in the SSDMC approach in the past five years,as well as the method robustness and accuracy evaluation.Second,it also summarizes methods to improve peak capacity and quantitative accuracy in MCA,including column selection and two-dimensional chromatographic analysis technology.Finally,computer software technologies for predict-ing chromatographic conditions and analytical parameters are introduced,which provides an idea for intelligent method development in MCA.This paper aims to provide methodological ideas for the improvement of complex system analysis,especially MCQA.