学科分类
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2 个结果
  • 简介:NocathiacinI,aglycosylatedthiopeptideantibiotic,displaysexcellentantibacterialactivitiesagainstmultidrugresistantbacterialpathogens.Previously,anovelnocathiacinIformulationforintravenousadministrationhasbeensuccessfullydevelopedanditsaqueoussolubilityisgreatlyenhancedforclinicalapplication.ThepurposeofthepresentstudywastoincreasethefermentationtiterofnocathiacinIandreduceoreliminateanalogousimpuritiesbyscreeningthemediumingredientsusingresponsesurfacemethodology.Afterasysmaticoptimization,awater-solublemediumcontainingquality-controllablecomponentswasdevelopedandvalidated,resultinginanincreaseintheproductionofnocathiacinIfrom150to405.8mg·L-1at150-Lscale.Meanwhile,theanalogousimpuritiesexistedinreportedprocessesweregreatlyreducedoreliminated.Usingoptimizedmediumforfermentation,nocathiacinIwithpharmaceuticallyacceptablequalitywaseasilyobtainedwitharecoveryof67%.Inconclusion,theresultsfromthepresentstudyofferapracticalandefficientfermentationprocessfortheproductionofnocathiacinIasatherapeuticagent.

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  • 简介:目的:利用数量化理论方法筛选影响冬凌草Pb含量的关键因子,为冬凌草Pb污染水平预测及调控提供依据。方法:冬凌草Ph质量分数采用等离子发射光谱法测定,生态环境因子为样地调查实测和收集产地环境监测资料相结合,采用数量化方法I拟合曲线分析。结果:经多因子筛选,确定影响冬凌草铅含量(Y)的贡献值最大的关键因子分别为:土壤Pb含量(X1),降水pH值(X6),污染源(X3),公路距离(X4)。结论:建立的冬凌草铅含量预测模型,可为冬凌草药源铅污染程度科学评估和有效防控提供依据。

  • 标签: PB 冬凌草 数量化理论 预测模型 关键生态因子