红外光谱法与药用玫瑰真伪的分析与鉴定

文章采用红外光谱法(FTIR)并结合二维相关光谱分析技术分析鉴定了药用玫瑰(药材对照品)及其混淆品月季和蔷薇。在一维红外光谱中三者的谱图较为一致,但药用玫瑰在1 318 cm-1波数处的峰不明显 ,而月季和蔷薇的1 318 cm-1峰明显,且较尖。在高分辨的二阶导数谱中药用玫瑰和月季分别在1 617和1 618 cm-1处具有芳香类指纹特征峰,而蔷薇的峰则在1 612 cm-1波数处,相差了5～6 cm-1。在1 044 cm-1处的峰, 蔷薇糖类化合物的指纹特征峰较明显,月季和药用玫瑰不明显。观测二维相关红外谱,三者都存在1 620,1 560和1 460 cm-1的芳香类化合物的自动峰,不同的是月季和蔷薇还存在一个较明显的1 660 cm-1的肩膀峰。药用玫瑰、月季和蔷薇在850～1 250 cm-1范围内的二维相关红外光谱差别很大,药用玫瑰1 050 cm-1的糖类化合物自动峰强度最大,而月季的峰较弱,而蔷薇没有此峰。谱图的三级鉴定验证了药用玫瑰、月季和蔷薇在糖苷类化合物和芳香类化合物的相对含量上都是不一致的。结果表明,运用红外光谱法可以快速有效地分析和鉴定药用玫瑰及其混淆品。     

广东野菊花挥发油的化学成分

采用水蒸汽蒸馏法从野菊花中提取挥发油,试用不同类型的毛细管柱进行分析,找出了最佳分析条件,共分离出54个峰,用归一化法测定其相对含量,并用气相色谱-质谱法对化学成分进行鉴定,共鉴定18个成分,占挥发油总量的99.8%。     

银黄口服液的质量控制及其高效液相色谱指纹图谱的研究

利用高效液相色谱方法,建立了复方银黄口服液及其原料药材黄芩和金银花的指纹图谱,测定了银黄口服液中黄芩苷 和绿原酸的含量。以Lichrospher C18色谱柱(250 mm×4.6 mm i.d.,5 μm)为分离柱,以甲醇和0.1%磷酸水溶液为流动 相进行二元梯度洗脱,流速0. 6 mL/min,在254 nm波长下检测。采用夹角余弦和相关系数的方法,计算6批银黄口服液指 纹图谱的相似度均在0.99以上,表明银黄口服液的质量未见显著差异。将银黄口服液指纹图谱中的共有峰与原料药材黄芩 和金银花的指纹图谱中的共有峰相比较,对其归属进行确认,大部分共有峰可以匹配。     

原子吸收光谱法测定翅果油树体内的八种无机元素

采用火焰原子吸收法测定了翅果油树体内八种微量元素, 结果表明, 在不同器官或不同生长阶段其无机元素含量均有显著差异。总体上看, 该种植物无机元素含量丰富, 尤其以根、叶和种子更为突出。     

Microwave-assisted Extraction of Rutin and Quercetin from Flos Sophorae

Three microwave-assisted extraction(MAE) procedures were studied. The first procedure was household microwave oven dynamic extraction(HMODE). The second procedure was special microwave oven bath extraction (SMOBE). The third procedure was microwave resonant cavity dynamic extraction (MRCDE). The results obtained by the three microwave-assisted extraction procedures were compared with those obtained by using traditional Soxhlet extraction. The results indicate that the MAE not only took a shorter time, but also simplified the procedure, and made the extraction a higher yield. At the same time the results obtained by the three MAE procedures were also compared with each other.     

区带毛细管电泳法分离测定洋金花中莨菪烷类生物碱

采用区带毛细管电泳法分离测定洋金花中3种莨菪烷类生物碱—阿托品、山莨菪碱和东莨菪碱。以57 cm×50μm熔融石英毛细管为分离通道,工作电压25 kV,温度25℃,200 mmol/L Tris-H3PO4(pH=8.3)为背景电解质。经优化分离条件,3种莨菪烷类生物碱达到基线分离,此方法快速、简便,可作为中药材洋金花中有效成分分离的方法和质量控制方法。     

Genkwalathins A and B,new lathyrane-type diterpenes from Daphne genkwa

Screening for new natural anti-neuroinflammatory compounds was performed with the traditional folk medicine Genkwa Flos, which potently inhibited nitric oxide (NO) production by LPS-activated microglial BV-2 cells. Two new lathyrane-type diterpenes, genkwalathins A (1) and B (2), and 14 known daphnane-type diterpenes (3–16) were isolated. The lathyrane-type diterpenes were isolated for the first time from the Thymelaeaceae family in this study. Compounds 1 and 2 moderately inhibited LPS-induced NO production in BV-2 cells without affecting cell viability, while six daphnane-type diterpenes (3, 4, 6, 7, 9 and 10) potently reduced NO production with IC₅₀ values less than 1 μM, although they did display weak cytotoxicity. A structure–activity relationship study on the daphnane-type diterpenes indicated that the stereochemistry at C-19, the benzoate group at C-20, and the epoxide moiety could be important for their anti-neuroinflammatory effects.     

Uncovering the anticancer mechanism of petroleum extracts of Farfarae Flos against Lewis lung cancer by metabolomics and network pharmacology analysis

Lung cancer shows the highest incidence rate in the world. Thus, it has become increasingly important to find therapeutic drugs to treat lung cancer. Farfarae Flos (FF) has been used in traditional Chinese medicine to treat pulmonary diseases such as cough, bronchitis and asthmatic disorders. In this study, the anti-proliferation effects of petroleum extracts of FF (PEFF) on Lewis lung cancer cells and the corresponding mechanisms were studied using cell metabolomics. Fifteen differential metabolites in the cell extracts and the corresponding medium related to the anti-proliferation effect of PEFF were identified, which were probably involved in pyruvate metabolism and glycine, serine and threonine metabolism. For the cellular uptake compounds in PEFF, six metabolites derived from two prototype compounds were also tentatively identified by UHPLC-Q-Orbitrap high-resolution MS. Network pharmacology analysis demonstrated that the anti-proliferation mechanism of PEFF was also probably related to the target genes, including, Aurora-A, glutathione S-transferase Mu 1 (GSTM1), glutathione S-transferase P 1 (GSTP1), progesterone receptor and heme oxygenase-1 (HO-1), and further associated with the proteoglycans and PI3K/Akt signaling pathway. Cell metabolomics and network pharmacology analysis provided a holistic method to investigate the anti-proliferation mechanisms of PEFF. However, further studies were still needed to validate the potential target genes, pathways and active compounds in PEFF.     

NIR analysis for batch process of ethanol precipitation coupled with a new calibration model updating strategy

Ethanol precipitation plays a major role in the pretreatment of Flos Lonicerae Japonicae of Qingkailing injection, and is also one of the most popular purification techniques in Chinese herbal medicines. In order to monitor and have a better understanding of the ethanol precipitation process, a PLS model was built based on NIR spectroscopy and HPLC analysis of chlorogenic acid content within the framework of FDA's PAT initiative. Nevertheless, due to the complex mechanism of and the raw materials’ natural variability introduced into the ethanol precipitation process, it was unable to foresee the variations in new batches which may jeopardize the robustness of the established model. Therefore, based on the simple interval calculation (SIC) theory, a new model expansion updating strategy which could continuously expand the variation coverage of the calibration model along with the batch proceeding of ethanol precipitation process was proposed. Effects of model updating were validated by an individual batch with 60 samples. After two times of updating, the root mean squared error of prediction (RMSEP) decreased from 0.268 mg mL⁻¹ to 0.199 mg mL⁻¹, while the insiders in the object status plot (OSP) increased from 44 to 58, demonstrating the good performance of the proposed approach.