检索结果-南通市图书馆

在线全文

学校读者我要写书评

暂无评论

防风色原酮成分群的分离制备及其含量分析

中国中药杂志 2008年第23期33卷 2761-2764页

作者：张村肖永庆李丽逄镇李桂柳中国中医科学院中药研究所北京100700

目的:以6种色原酮类成分的含量比较研究防风色原酮有效部位的分离、纯化方法。方法:HPLC梯度洗脱法同时测定6种色原酮类成分的含量,色谱柱为Kromasil C18柱,流动相为甲醇-0.1%磷酸水梯度洗脱,检测波长254 nm,流速1.0 ***-1,柱温35℃。结... 详细信息

目的:以6种色原酮类成分的含量比较研究防风色原酮有效部位的分离、纯化方法。方法:HPLC梯度洗脱法同时测定6种色原酮类成分的含量,色谱柱为Kromasil C18柱,流动相为甲醇-0.1%磷酸水梯度洗脱,检测波长254 nm,流速1.0 ***-1,柱温35℃。结果:6个成分在测定范围内线性关系较好(r>0.999 5),平均回收率均大于97%,RSD均小于5%。各样品含量差异显著。结论:所建立的方法准确、可靠,防风色原酮成分群的制备方法以水煎醇沉树脂分离结合硅胶纯化法较好。

关键词：防风色原酮成分群分离制备 HPLC 含量测定

在线全文

学校读者我要写书评

暂无评论

白芥子及其炮制品的HPLC鉴别

北京中医药大学学报 2008年第10期31卷 699-701页

作者：逄镇张村李丽李桂柳肖永庆中国中医科学院中药研究所北京100700

目的建立芥子及白芥子不同饮片的高效液相色谱(HPLC)鉴别方法,为揭示白芥子炮制原理提供科学依据。方法采用HPLC法,kromasil C18柱,乙腈-0.1%磷酸溶液梯度洗脱,检测波长254nm,流速1.0mL/min,柱温35℃。结果芥子不同品种和白芥子不同饮片... 详细信息

目的建立芥子及白芥子不同饮片的高效液相色谱(HPLC)鉴别方法,为揭示白芥子炮制原理提供科学依据。方法采用HPLC法,kromasil C18柱,乙腈-0.1%磷酸溶液梯度洗脱,检测波长254nm,流速1.0mL/min,柱温35℃。结果芥子不同品种和白芥子不同饮片的HPLC图谱有明显差异。白芥子在保留时间6min和9.3min左右,有2个比较大的色谱峰,而黄芥子没有;以水作为提取溶剂时,白芥子生品、炒品的HPLC色谱图明显不同,即生品保留时间为6min的色谱峰消失,同时在10min左右出现一个较明显的色谱峰,该峰在炒品中未检出。结论所建立的方法可用于芥子和白芥子不同饮片的HPLC鉴别,为其质量评价提供了可靠线索。

关键词：白芥子黄芥子炒白芥子高效液相色谱法

在线全文

学校读者我要写书评

暂无评论

不同栀子饮片二萜色素类成分比较研究

中国中药杂志 2008年第21期33卷 2470-2473页

作者：张村肖永庆李丽李桂柳逄镇中国中医科学院中药研究所北京100700

目的:对栀子不同饮片二萜色素类成分进行比较研究。方法:HPLC同时测定4个主要成分(crocin1,crocin 2,crocin 3,crocetin)含量,Kromasil C18柱,流动相为甲醇-乙腈-0.3%甲酸水不同梯度洗脱,检测波长440nm,流速1.0 ***-1,柱温35℃。结果:4... 详细信息

目的:对栀子不同饮片二萜色素类成分进行比较研究。方法:HPLC同时测定4个主要成分(crocin1,crocin 2,crocin 3,crocetin)含量,Kromasil C18柱,流动相为甲醇-乙腈-0.3%甲酸水不同梯度洗脱,检测波长440nm,流速1.0 ***-1,柱温35℃。结果:4个成分在测定范围内线性关系较好(r>0.999 5),平均回收率分别为97.77%,100.05%,98.40%,101.02%。结论:所建立的方法准确、可靠。栀子炮制前后色素类成分发生了明显变化,栀子不同饮片的含量变化呈现一定的规律性。

关键词：栀子饮片二萜色素 HPLC 含量测定

Association of Overlapped and Un-overlapped Comorbidities with COVID-19 Severity and Treatment Outcomes: A Retrospective Cohort Study from Nine Provinces in China

在线全文

学校读者我要写书评

暂无评论

Biomedical and Environmental Sciences 2020年第12期33卷 893-905页

作者： MA Yan ZHU Dong Shan CHEN Ren Bo SHI Nan Nan liu Si Hong FAN Yi Pin WU gui Hui YANG Pu Ye BAI Jiang Feng CHEN Hong CHEN li Ying FENG Qiao GUO Tuan Mao HOU yong HU gui Fen HU xiao Mei HU Yun Hong HUANG Jin HUANG Qiu Hua HUANG Shao zhen JI liang JIN Hai Hao LEI xiao li Chun Yan li Min qing li Qun Tang li Xian yong liu Hong De liu Jin Ping liu zhang MA Yu Ting MAO Ya MO liu Fen NA Hui WANG Jing Wei SONG Fang li SUN Sheng WANG Dong Ting WANG Ming Xuan WANG xiao Yan WANG Yin zhen WANG Yu Dong WU Wei WU Lan Ping xiao Yan Hua XIE Hai Jun XU Hong Ming XU Shou Fang XUE Rui Xia YANG Chun YANG Kai Jun YUAN Sheng li zhang Gong Qi zhang Jin Bo zhang lin Song ZHAO Shu Sen ZHAO Wan Ying zhenG Kai ZHOU Ying Chun ZHU Jun Teng ZHU Tian qing zhang Hua Min WANG Yan Ping WANG yong Yan 无 Institute of Basic Research in Clinical Medicine China Academy of Chinese Medical SciencesBeijing 100700China Centre for Health Management and Policy Research School of Public HealthCheeloo College of MedicineShandong UniversityJinan 250012ShandongChina Institute of Information on Traditional Chinese Medicine China Academy of Chinese Medical SciencesBeijing 100700China Department of Tuberculosis The Public Health Clinical Center of ChengduChengdu 610066SichuanChina Department of Infectious Disease Shaanxi Infectious Disease HospitalXi'an 610113ShaanxiChina Department of Infectious Disease Yulin Chinese Medicine HospitalYulin 719000ShaanxiChina President's Office The First Hospital of QiqiharQiqihar 161005HeilongjiangChina Department of Traditional Chinese Medicine Shangluo Central HospitalShangluo 726000ShaanxiChina Department of Traditional Chinese Medicine The People's Hospital of QitaiheQitaihe 154603HeilongjiangChina Department of Scientific Research Xianyang Central HospitalXianyang 712000ShaanxiChina Department of traditional Chinese medicine The First Affiliated Hospital of Anhui University of Traditional Chinese MedicineHefei 230012AnhuiChina Department of Infectious Disease Heping Hospital Affiliated to Changzhi Medical CollegeChangzhi 046000ShanxiChina Department of Traditional Chinese Medicine Langfang Hospital of Chinese MedicineLangfang 065000HeibeiChina Department of Traditional Chinese Medicine Xingtai Hospital of Chinese MedicineXingtai 054001HeibeiChina Department of Traditional Chinese Medicine The People's Hospital of Guangxi Zhuang Autonomous RegionNanning 168600GuangxiChina Department of Traditional Chinese Medicine The First People'sHospital of FangchenggangFangchenggang 538001GuangxiChina Department of Traditional Chinese Medicine Mianyang Hospital of Traditional Chinese MedicineMianyang 621000SichuanChina Department of Traditional Chinese Medicine Liuzhou People's HospitalLiuzhou 545006GansuChina Department of Traditional Chinese Medici

Objective Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains *** A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients’ medical records. Multivariable logistic regression models were used to estimate the odds ratio(OR) and 95% confidence interval(95% CI) of the associations between comorbidities(cardiometabolic or non-cardiometabolic diseases), clinical severity, and treatment outcomes of *** Overall, 158(13.6%) patients were diagnosed with severe illness and 32(2.7%) had unfavorable outcomes. Hypertension(2.87, 1.30–6.32), type 2 diabetes(T2 DM)(3.57, 2.32–5.49),cardiovascular disease(CVD)(3.78, 1.81–7.89), fatty liver disease(7.53, 1.96–28.96), hyperlipidemia(2.15, 1.26–3.67), other lung diseases(6.00, 3.01–11.96), and electrolyte imbalance(10.40, 3.00–26.10)were independently linked to increased odds of being severely ill. T2 DM(6.07, 2.89–12.75), CVD(8.47,6.03–11.89), and electrolyte imbalance(19.44, 11.47–32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission(5.46,3.25–9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes(6.58, 1.46–29.64) within two *** Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.

关键词： Comorbidities COVID-19 Severity Gender Age Treatment outcome

在线全文

学校读者我要写书评

暂无评论

大黄不同饮片指纹图谱研究

北京中医药大学学报 2009年第2期32卷 118-121页

作者：张村肖永庆李丽李文逄镇李桂柳中国中医科学院中药研究所北京100700

目的研究建立大黄不同饮片的指纹图谱测定方法并进行比较。方法采用高效液相色谱(HPLC)法,kromasil C18柱,甲醇-1%冰醋酸梯度洗脱,检测波长280 nm和430 nm,流速1.0 mL/min,柱温30℃,以指纹图谱软件计算相似度,并进行图谱比较。结果各饮... 详细信息

目的研究建立大黄不同饮片的指纹图谱测定方法并进行比较。方法采用高效液相色谱(HPLC)法,kromasil C18柱,甲醇-1%冰醋酸梯度洗脱,检测波长280 nm和430 nm,流速1.0 mL/min,柱温30℃,以指纹图谱软件计算相似度,并进行图谱比较。结果各饮片10批次样品平均相似度大于0.9,大黄生品、酒炙品、醋炙品的HPLC指纹图谱基本一致,熟片、炭片与生品相比有较大差异。结论所建立的方法可用于大黄不同饮片的指纹图谱测定,大黄熟片和炭片与生片相比在化学成分的结构组成和量比关系上发生了较大变化。

关键词：大黄饮片指纹图谱高效液相色谱法

在线全文

学校读者我要写书评

暂无评论

芥子不同品种的色谱对应鉴别

中国实验方剂学杂志 2010年第14期16卷 38-40页

作者：张村李丽肖永庆逄镇李桂柳麻印莲中国中医科学院中药研究所北京100700

目的:研究建立芥子不同品种的化学色谱对应鉴别方法。方法:以4-羟基-苄基芥子苷、4-羟基苯甲酰胆碱和芥子碱复盐为对照品,采用TLC和HPLC鉴别。结果:黄芥子、白芥子的TLC和HPLC图谱有明显差异,白芥子能检出3个对照品,黄芥子仅能检出芥子... 详细信息

目的:研究建立芥子不同品种的化学色谱对应鉴别方法。方法:以4-羟基-苄基芥子苷、4-羟基苯甲酰胆碱和芥子碱复盐为对照品,采用TLC和HPLC鉴别。结果:黄芥子、白芥子的TLC和HPLC图谱有明显差异,白芥子能检出3个对照品,黄芥子仅能检出芥子碱复盐,2种色谱方法鉴定结果一致。结论:所建立的TLC和HPLC图谱鉴别方法简便易行,可以快速地鉴别区分黄芥子和白芥子,为芥子不同品种的质量评价方法提供了试验依据。

关键词：白芥子黄芥子对应鉴别薄层色谱高效液相色谱

在线全文

学校读者我要写书评

暂无评论

白芥子饮片的质量评价研究

中国实验方剂学杂志 2010年第16期16卷 30-32页

作者：张村李丽肖永庆逄镇李桂柳于定荣麻印莲中国中医科学院中药研究所

目的:研究建立白芥子饮片的质量评价标准。方法:以4-羟基-苄基芥子苷、4-羟基苯甲酰胆碱和芥子碱复盐为对照品进行TLC鉴别,同时以芥子碱复盐为对照品进行HPLC含量测定,Agilent TC-C18(2)柱,乙腈-0.1%磷酸溶液梯度洗脱,检测波长326 nm,流... 详细信息

目的:研究建立白芥子饮片的质量评价标准。方法:以4-羟基-苄基芥子苷、4-羟基苯甲酰胆碱和芥子碱复盐为对照品进行TLC鉴别,同时以芥子碱复盐为对照品进行HPLC含量测定,Agilent TC-C18(2)柱,乙腈-0.1%磷酸溶液梯度洗脱,检测波长326 nm,流速1.0 mL·min-1,柱温35℃。结果:白芥子炒制前后的TLC整体图谱没有明显差异,芥子碱复盐的含量略有下降。结论:TLC鉴别方法简便,专属性强;HPLC含量测定方法精密度高,重复性好,为白芥子饮片的质量评价方法提供了实验依据。

关键词：白芥子饮片质量评价薄层鉴别高效液相色谱

Anti-cyclic citrullinated peptide antibody predicts the development of rheumatoid arthritis in patients with undifferentiated arthritis

在线全文

学校读者我要写书评

暂无评论

Chinese Medical Journal 2019年第24期132卷 2899-2904页

作者： Chun li Yan zhang Hui Song Jie Gao Dong-Bao Zhao Qi Zhu Dong-Yi He li Wang Xiang-Pei li Xu-Dong liu Wei-Guo xiao Xin-Yu Wu Hua-Xiang Wu Wei Tu Shao-Xian Hu Xin Wang Zhi-Jun li Zhi-Min Lu Zhan-Yun Da Bo liang xiao-Min liu Jin-Wei Zhao ling li Feng Han Wu-Fang Qi Wei Wei Xu Ma zhen-Bin li gui-Min zheng Feng-xiao zhang Yi li You-lian Wang Guang-Hui ling Jin-Wei Chen xiao-Qiang Hou Jing zhang qing-Ping Chen Chang-lian liu Yan zhang Jia-Shun Zeng qing-Hua Zou yong-Fei Fang Yin Su Zhan-Guo li Department of Rheumatology and Immunology Peking University People's HospitalBeijing 100044China Department of Rheumatology and Immunology Beijing Jishuitan HospitalBeijing 100035China Department of Rheumatology and Immunology Changhai HospitalShanghai 200433China Department of Rheumatology Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western MedicineShanghai 200052China Department of Rheumatology and Immunology Anhui Provincial HospitalHefeiAnhui 230001China Department of Rheumatology and Immunology The First Hospital of China Medical UniversityShenyangLiaoning 110001China Department of Rheumatology The Second Affiliated Hospital of Zhejiang University School of MedicineHangzhouZhejiang 310009China Department of Rheumatology and Immunology Tongji HospitalWuhanHubei 430030China Department of Rheumatology The First Affiliated Hospital of Bengbu Medical CollegeBengbuAnhui 233004China Department of Rheumatology and Immunology Affiliated Hospital of Nantong UniversityNantongJiangsu 226001China Department of Rheumatology and Immunology The Hospital of Shunyi District BeijingBeijing 101300China Department of Infection and Immunology Tianjin Union Medical CenterTianjin 300121China Department of Rheumatology and Immunology Tianjin First Central HospitalTianjin 300192China Department of Rheumatology and Immunology Tianjin Medical University General HospitalTianjin 300052China Department of Rheumatology and Immunology Peace HospitalShijiazhuangHebei 050000China Department of Rheumatology and Immunology Hebei General HospitalShijiazhuangHebei 050051China Department of Rheumatology Jiangxi Provincial People's HospitalNanchangJiangxi 330006China Division of Rheumatology and Immunology The Second Xiangya Hospital of Central South UniversityChangshaHunan 410011China Department of Rheumatology and Immunology The First College of Clinical Medical Science of China Three Gorges University&Yichang Central People's HospitalYichangHubei 443003China Department of Rheu

Background:Clinical outcomes of undifferentiated arthritis(UA)are diverse,and only 40%of patients with UA develop rheumatoid arthritis(RA)after 3 *** predictive markers at disease onset for further intervention is ***,our objective was to analyze the clinical outcomes of UA and ascertain the predictors for RA ***:We performed a prospective,multi-center study from January 2013 to October 2016 among Chinese patients diagnosed with UA in 22 tertiary-care *** and serological parameters were obtained at ***-up was undertaken in all patients every 12 weeks for 2 *** factors of disease progression were identified using multivariate Cox proportional hazards ***:A total of 234 patients were recruited in this study,and 17(7.3%)patients failed to follow up during the *** the 217 patients who completed the study,83(38.2%)patients went into *** patients who developed RA had a higher rheumatoid factor(RF)-positivity(42.9%vs.16.8%,χ^2=8.228,P=0.008),anti-cyclic citrullinated peptide(CCP)antibodypositivity(66.7%vs.10.7%,χ^2=43.897,P<0.001),and double-positivity rate of RF and anti-CCP antibody(38.1%vs.4.1%,χ^2=32.131,P<0.001)than those who did ***-CCP antibody but not RF was an independent predictor for RA development(hazard ratio 18.017,95%confidence interval:5.803–55.938;P<0.001).Conclusion:As an independent predictor of RA,anti-CCP antibody should be tested at disease onset in all patients with UA.

关键词： Anti-cyclic citrullinated peptide antibody Arthritis,Rheumatoid Rheumatoid factor Undifferentiated arthritis

在线全文

学校读者我要写书评

暂无评论

大黄5种饮片化学成分的变化规律

北京中医药大学学报 2009年第12期32卷 839-841,845页

作者：李丽张村肖永庆林娜刘春芳李桂柳逄镇陈东东田国芳中国中医科学院中药研究所北京100700

目的比较大黄不同饮片中各色谱峰峰面积的变化情况,探讨饮片炮制过程中化学成分的变化规律。方法运用HPLC指纹图谱法,以甲醇-1.0%冰醋酸为流动相梯度洗脱,柱温30℃,流速1.0 mL/min,检测波长280 nm。对大黄5种饮片各10批次样品进行分析,... 详细信息

目的比较大黄不同饮片中各色谱峰峰面积的变化情况,探讨饮片炮制过程中化学成分的变化规律。方法运用HPLC指纹图谱法,以甲醇-1.0%冰醋酸为流动相梯度洗脱,柱温30℃,流速1.0 mL/min,检测波长280 nm。对大黄5种饮片各10批次样品进行分析,比较同一成分在不同饮片中峰面积的变化情况。结果在已归属的24个色谱峰中没食子酸(1)在熟大黄中含量最高,5种游离蒽醌,即芦荟大黄素(20)、大黄酸(21)、大黄素(22)、大黄酚(23)、大黄素甲醚(24)在熟大黄中含量最高,4′-羟基苯基-2-丁酮-4′-O-β-D-(6″-没食子酰基)-葡萄糖苷(6)、大黄素8-O-葡萄糖苷(17)及芦荟大黄素-3-CH_2-O-β-D-葡萄糖苷(18)在生片中较高,其余成分均以酒大黄含量最高。结论辅料的种类、炮制时加热的温度和时间,是不同大黄饮片炮制前后化学成分变化的主要因素。高温或长时间加热会导致大黄中蒽醌苷类成分含量的不同程度的降低而游离蒽醌含量均有不同程度的升高。

关键词：大黄饮片化学成分变化规律