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生物传感器
    Screening of anti-inflammatory Chinese traditional herbs targeted CpG ODN using biosensor technology
    以CpG ODN为靶点应用生物传感器技术筛选抗炎中药
    Application of Biosensor Technology to Screening of Anti-endotoxin Materials in Radix Paeoniae Rubra
    生物传感器技术在筛选赤芍中抗内毒素有效成分的应用研究
    Application of biosensor technology to screen anti-PGN plants from traditional Chinese medicine
    应用生物传感器技术筛选拮抗细菌肽聚糖的中药
    Methods:(1) The biosensor technology was applied to screen the medicine-food plants, then isolate the active fractions from one of the medicine-food plants selected by the target of Lipid A.
    方法:(1)应用生物传感器技术,对大蒜、苦瓜、鱼腥草、生姜、芫荽等5种药食两用植物进行与Lipid A结合活性的筛选。
    Compared with traditional methods,biosensor technology is a fast,highly effective,direct and accurate method.
    与传统的鲎试剂法比较 ,生物传感器技术具有快速、高效、直观、无干扰等优点。
    CONCLUSION: The anti-endotoxin effective components isolated and extracted using LPS as target by the biosensor technology are available in searching anti-endotoxin agents from Radix Paeoniae Rubra. It shows that Radix Paeoniae Rubra has high ability on neutralization with LPS.
    结论:以LPS为靶点,应用生物传感器技术,可快速、有效地提取分离赤芍中具有较强的中和LPS活性的有效成分。
    Objective To apply the biosensor technology to screen anti-PGN plants from traditional Chinese medicine(TCM),and to sort them according to the content of anti-PGN effective materials.
    目的应用生物传感器技术从传统抗炎中药中筛选具有拮抗细菌肽聚糖(peptidoglycan,PGN)活性的中药并对其进行活性物质含量的排序。
 

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