Objective To study the chemical constituents from the seeds of Ziziphus jujuba var.spinosa,which is used as a sedative herbal medicine in China.Methods The constituents were separated and purified by silica gel column...Objective To study the chemical constituents from the seeds of Ziziphus jujuba var.spinosa,which is used as a sedative herbal medicine in China.Methods The constituents were separated and purified by silica gel column.Their structures were elucidated based on their physicochemical properties and spectral analysis.Results Six compounds were obtained from 95%EtOH extracts in the seeds of Z.jujuba var.spinosa.They were identified as 2α,3β-dihydroxy-lup-20(29)-en-28-oic acid methyl ester(I),β-sitosterol(II),betulin(Ⅲ),betulinic acid(Ⅳ),hexadexanoic acid 2,3-dihydroxypropyl ester(V),and daucosterol(Ⅵ).Conclusion Compound I is a novel lupane triterpene named as alphitolicacid methyl ester,compound V is obtained from the seeds of Z.jujuba var.spinosa for the first time.展开更多
To search for new and bioactive minor components from traditional Chinese medicines, a new compound, named jujuphenoside (1), was isolated from the seeds of Ziziphusjujuba var. spinosa (Bunge)Hu. The structure of juju...To search for new and bioactive minor components from traditional Chinese medicines, a new compound, named jujuphenoside (1), was isolated from the seeds of Ziziphusjujuba var. spinosa (Bunge)Hu. The structure of jujuphenoside was elucidated by spectral and chemical methods, particularly twodimensional nuclear magnetic resonance analysis. Together with the new compound, 22 known compounds were also isolated and identified from the seeds of Z. jujuba var. spinosa, among which, epiceanothic acid (2) was first obtained from natural resources, whereas compounds 7-16 were first obtained from this plant.展开更多
在基于机器视觉的智能检测领域,工件外轮廓缺陷检测需要自动提取图像中的感兴趣区域(Regions of Interest,ROI),利用Canny边缘检测算子进一步获取工件的外轮廓。为此,采用Hu不变矩计算工件最外层轮廓,并利用该方法进行缺陷检测。首先,...在基于机器视觉的智能检测领域,工件外轮廓缺陷检测需要自动提取图像中的感兴趣区域(Regions of Interest,ROI),利用Canny边缘检测算子进一步获取工件的外轮廓。为此,采用Hu不变矩计算工件最外层轮廓,并利用该方法进行缺陷检测。首先,对采集到的工件图像进行灰度化、去噪和反转二值图像等预处理。其次,计算图像外轮廓的Hu不变矩及其相似度系数。通过将计算得到的图像相似度系数与设定阈值进行比较,实现工件的缺陷检测。实验结果表明,该方法在缺陷检测方面的准确率超过90%,匹配时间保持在1000 ms以内,同时满足设计要求中的可靠性、稳定性、实时性及高检测精度。展开更多
目的建立一种液相色谱-串联质谱(liquid chromatography-tandem mass spectrometry,LC-MS/MS)方法快速、灵敏地测定大鼠血浆中Hu7691的浓度。方法大鼠血浆样本以乙腈沉淀蛋白后,选用三键键合烷基色谱柱,以0.1%甲酸水-乙腈作为流动相进...目的建立一种液相色谱-串联质谱(liquid chromatography-tandem mass spectrometry,LC-MS/MS)方法快速、灵敏地测定大鼠血浆中Hu7691的浓度。方法大鼠血浆样本以乙腈沉淀蛋白后,选用三键键合烷基色谱柱,以0.1%甲酸水-乙腈作为流动相进行梯度洗脱,选用多重反应监测扫描方式进行监测。将经验证的方法应用于Hu7691在SD大鼠体内的药动学研究。结果大鼠口服5、10、20 mg·kg^(-1)Hu7691以及静脉注射5 mg·kg^(-1)的Hu7691后,大鼠血浆中Hu7691的AUC和C_(max)随剂量的增大而增加,生物利用度分别为50.2%、62.0%、75.7%。结论表明Hu7691在大鼠体内具有较高的胃肠吸收率和稳定的药动学特性。展开更多
文摘Objective To study the chemical constituents from the seeds of Ziziphus jujuba var.spinosa,which is used as a sedative herbal medicine in China.Methods The constituents were separated and purified by silica gel column.Their structures were elucidated based on their physicochemical properties and spectral analysis.Results Six compounds were obtained from 95%EtOH extracts in the seeds of Z.jujuba var.spinosa.They were identified as 2α,3β-dihydroxy-lup-20(29)-en-28-oic acid methyl ester(I),β-sitosterol(II),betulin(Ⅲ),betulinic acid(Ⅳ),hexadexanoic acid 2,3-dihydroxypropyl ester(V),and daucosterol(Ⅵ).Conclusion Compound I is a novel lupane triterpene named as alphitolicacid methyl ester,compound V is obtained from the seeds of Z.jujuba var.spinosa for the first time.
文摘To search for new and bioactive minor components from traditional Chinese medicines, a new compound, named jujuphenoside (1), was isolated from the seeds of Ziziphusjujuba var. spinosa (Bunge)Hu. The structure of jujuphenoside was elucidated by spectral and chemical methods, particularly twodimensional nuclear magnetic resonance analysis. Together with the new compound, 22 known compounds were also isolated and identified from the seeds of Z. jujuba var. spinosa, among which, epiceanothic acid (2) was first obtained from natural resources, whereas compounds 7-16 were first obtained from this plant.
文摘在基于机器视觉的智能检测领域,工件外轮廓缺陷检测需要自动提取图像中的感兴趣区域(Regions of Interest,ROI),利用Canny边缘检测算子进一步获取工件的外轮廓。为此,采用Hu不变矩计算工件最外层轮廓,并利用该方法进行缺陷检测。首先,对采集到的工件图像进行灰度化、去噪和反转二值图像等预处理。其次,计算图像外轮廓的Hu不变矩及其相似度系数。通过将计算得到的图像相似度系数与设定阈值进行比较,实现工件的缺陷检测。实验结果表明,该方法在缺陷检测方面的准确率超过90%,匹配时间保持在1000 ms以内,同时满足设计要求中的可靠性、稳定性、实时性及高检测精度。
