黄芪口服液中8种重金属元素含量的测定

在2015年版《中国药典》的基础上,采用原子荧光光谱法和电感耦合等离子体质谱法对黄芪口服液中的铅、砷、镉、汞、铜、锌、镍和铬进行测定,并对所用试剂、器皿,赶酸时间,内标的种类和加入方式进行了优化。结果表明,在样品处理前对器皿采用硝酸(30%)处理,赶酸时间在1.5h以上,以手动方式加入单内标103 Rh溶液,可以得到较准确、稳定的测定结果,8种元素测定的相对标准偏差(RSD)均小于4%,Hg、As、Cu、Pb、Zn、Cd、Ni、Cr的检出限分别为0.089、0.21、0.45、0.15、0.45、0.025、0.35和0.39μg/L,8种元素的加标回收率在92.0%～114%。方法对于黄芪口服液中痕量元素的检测,结果稳定,过程简单,引入污染小。     

多壁碳纳米管QuEChERS/气相色谱-质谱联用法快速检测黄芪中16种农药

建立了QuEChERS/气相色谱-质谱联用法(GC-MS)同时测定黄芪中α-六六六、β+γ-六六六、δ-六六六、五氯硝基苯、p,p′-滴滴伊、o,p′-滴滴涕、p,p′-滴滴滴、p,p′-滴滴涕、甲霜灵、二嗪磷、七氯、嘧菌环胺、腐霉利、顺式氯丹、反式氯丹、咯菌腈16种农药残留的分析方法。样品前处理采用改进的QuEChERS方法,黄芪粉加水浸润后,乙腈涡旋振荡提取,多壁碳纳米管(MWCNTs)、正丙基乙二胺(PSA)、MgSO_4净化,结合GC-MS检测系统,电子轰击源(EI),HP-5ms毛细管柱分离,程序升温,离子扫描模式(SIM)检测。在优化条件下,16种农药在0.01～5.0 mg/L质量浓度范围内线性关系良好,相关系数不低于0.974,方法的定量下限(S/N=10)为0.002～0.035 mg/kg,平均回收率为71.9%～115%,相对标准偏差(RSD)为1.2%～14%。该方法具有操作简单快捷、灵敏度高等优点。     

微波消解-火焰原子吸收光谱法测定黄芪中八种金属元素的含量

提出了微波消解-火焰原子吸收光谱法测定黄芪中的八种金属元素含量的方法.实验确定微波消解试样的最佳条件为:HNO_3与HClO_4体积比是4∶1,微波功率为600 W、时间为3 min.实验结果表明:黄芪中含有较丰富Ca、Mg、Fe,Cu、Zn、Mn含量较低,而Pb、Cr未测出.测定的相对标准偏差小于5.4%,加标回收率为93.6%～105.2%.     

Triterpene glycosides from <Emphasis Type="Italic">Astragalus</Emphasis> and their genins. LXXX. Cyclomacroside D,a new bisdesmoside

The structure of the new cycloartane glycoside cyclomacroside D, which was isolated from Astragalus macropus Bunge (Leguminosae) and is 24R-cycloartan-1α,3β,7β,24,25-pentaol 3-O-α-L-rhamnopyranoside–24-O-β-D-xylopyranoside, was proved. Presented at the 7th International Symposium on the Chemistry of Natural Compounds (SCNC, Tashkent, Uzbekistan, October 16–18, 2007). Translated from Khimiya Prirodnykh Soedinenii, No. 1, pp. 48–50, January–February, 2009.     

黄芪成分F3新制剂的工艺监测

对黄芪成分F3新制剂中多糖、蛋白质进行了工艺监测，多糖提取达99．2％，蛋白质≤0．2％，符合黄芪成分F3的质量标准要求，达到了选择最佳提取工艺的目的，结果令人满意。     

Application of pathways activity profiling to urine metabolomics for screening Qi‐tonifying biomarkers and metabolic pathways of honey‐processed Astragalus

Honey‐processed Astragalus, a widely used Qi‐tonifying and immunomodulating herb in traditional Chinese medicine, has strengthened the tonic effects and achieved fewer side effects compared with astragali radix in clinical application. Here, we focus on Qi‐tonifying biomarkers and pathways of honey‐processed Astragalus using urine metabolomics that provide the basis for building the linkage between metabolites in rat urine and its symptoms. The spleen Qi deficiency model group, normal group, astragali radix group, and honey‐processed Astragalus group were implemented to evaluate Qi‐tonifying effects. Twelve potential biomarkers were screened by multivariate statistical analysis by using ultra high performance liquid chromatography with quadrupole time‐of‐flight mass spectrometry. Furthermore, pathways activity profiling showed unique pathways that are primarily involved in tryptophan metabolism, tricarboxylic acids cycle, and methionine metabolism. The results demonstrated that metabolomics coupled with pathway activity profiling were promising tools. It might serve as a novel methodological clue to systematically dissect the underlying Qi‐tonifying mechanism of honey‐processed Astragalus.     

微波消解-CTAB增敏-HG-ICP-AES法测定中药黄芪中的痕量铅

采用微波消解技术处理样品,建立了CTAB增敏-氢化物发生-电感耦合等离子体发射光谱法(HGICP-AES)测定中药黄芪中痕量铅的分析方法.讨论了微波消解试剂、微波消解参数对消解效果的影响,系统地研究了氢化物发生的最佳条件.采用HNO3 H2O2 H2O为微波消解最佳试剂,在选定的最佳氢化物发生条件下,铅的线性范围为0.23～800 μg·L-1,相关系数为0.999 9,检出限为0.23 μg·L-1,相对标准偏差为1.02%,样品加标回收率为98.8%～100.1%.结果表明,微波消解法处理中草药,具有快速、简便、节省试剂、消解完全等特点,测定结果的精密度和准确度令人满意.     

Triterpene glucosides of <Emphasis Type="Italic">Astragalus</Emphasis> and their genins. LXXIV. Cyclotrisectoside,the first trisdesmoside of cyclocephalogenin

The two trisdesmoside cycloartane glycosides astragaloside VII and cyclotrisectoside were isolated from Astragalus dissectus (Leguminosae) and identified. The latter was 20R,25-epoxy-24S-cycloartan-3β,6α,16β,24-tetraol 3-O-β-D-xylopyranoside-6,24-di-O-β-D-glucopyranoside and was a new natural compound. Presented at the Sixth International Symposium on the Chemistry of Natural Compounds (SCNC, Turkey, Ankara, 28–29 June 2005). __________ Translated from Khimiya Prirodnykh Soedinenii, No. 2, pp. 132–134, March–April, 2007.     

黄芪中黄酮类组分的高效液相色谱分离条件的快速优化

 以黄芪为研究对象,对黄芪中乙酸乙酯部位的化学成分进行了高效液相色谱分析并对其色谱操作条件进行了快速优化。根据几个线性梯度下的保留时间来计算各组分的保留参数,然后利用重叠分辨图法确定其最佳分析条件。在选定的最佳条件下各组分分离情况良好。利用梯度保留时间计算保留参数比较方便快速，并可以有效地避免以往等度线性回归法遇到的峰识别问题。该方法更适用于实际复杂样品色谱分析条件的优化。     

Simultaneous characterization of isoflavonoids and astragalosides in two Astragalus species by high-performance liquid chromatography coupled with atmospheric pressure chemical ionization tandem mass spectrometry

A method was developed for the simultaneous identification of astragalosides (AGs) and isoflavonoids (IFs) in the roots of Astragalus membranaceus and Astragalus mongholicus by HPLC coupled with atmospheric pressure chemical ionization MS/MS (HPLC-APCI-MS/MS). Diagnostic fragment ions of AGs and different group of IFs were obtained with one AG and eight IF standards analyzed by CID-MS, which were adopted as characteristic MS/MS fingerprints for further identification of these compounds in the two Astragalus species by using HPLC-APCI-MS/MS. A total of 20 IFs and 10 AGs were identified or tentatively identified. Among them, six IFs were detected in A. membranaceus for the first time and five IFs were firstly identified in A. mongholicus. The results indicate that HPLC-APCI-MS/MS is a powerful tool for the simultaneous characterization of IFs and AGs in complex matrix.