• 两种乳腺癌细胞株模型评价纳米粒介导细胞药物释放动力学机理及纳米粒包囊阿霉素治疗效果

    Kinetics and mechanism of nanoparticle-mediated cellular drug delivery and therapeutic efficacy of nanoparticle-encapsulated doxorubicin were evaluated in two model breast cancer cell lines.

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  • 另外我们模型整合机制使药物聚合物基质释放过程可以定量分析

    Furthermore, our model incorporates mechanisms by which the processes underlying drug release from a polymer matrix can be quantitatively analyzed.

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  • 方法采用无膜溶出模型考察释放面积振荡频率对眼用凝胶溶蚀及药物释放影响

    Methods The non-membrane model was introduced to observe the influence on the drug release and gel erosion for surface area and shaking frequency.

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  • 这项研究集中药物PLGA圆筒型微囊中释放数学模型

    This study focuses on mathematical modeling of drug release from PLGA cylindrical millirods.

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  • 组分的连续性方程为基础,建立药物多孔骨架聚合物系统释放数学模型

    A mathematical model describing the drug release from porous polymer was established by using the species continuity equation.

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  • 以维生素b12模型药物研究药物释放性质

    Vitamin B12 was selected as a model drug and the in vitro release properties was studied.

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  • 提出一种新型胶囊药物释放微机电系统设计模型

    A model of a new capsule drug delivery MEMS is proposed.

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  • 模拟不同药量药物释放速率影响其它数据进行比较,以此验证模型

    The effects of different drug loadings on the drug release rate were simulated and compared with other data to validate this model.

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  • 茶碱模型药物,模拟体外释放结果表明,共聚物胶束对茶碱的体外分为缓慢释放平衡释放三个阶段。

    The vitro release result which used theophylline as model drug showed, the release behavior can divide to sharp release , relaxedly release and equilibrium release periods.

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  • 模型参数最佳评价通过最小化模型模拟实验测定药物释放动力学差别获得

    Optimal estimates of the model parameters were obtained by minimizing the difference between model simulation and experimentally measured drug release kinetics.

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  • 选用盐酸黄连素模型药物进行包衣片剂的体外释放试验。

    Berberine chloride was chosen as model drug to prepare coating tablets.

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  • 目的磷酸川芎嗪为模型药物制备脉冲释放考察其体外释放影响因素

    Objective: to prepare tetramethylpyrazine phosphate pulsed-release tablets and subsequently to characterize factors to affect the pulsed release of tetramethylpyrazine phosphate in-vitro.

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  • 目的人工神经网络模型定量预测HPMC固有黏度药物释放影响

    Objective To use ANN to quantitatively predict the influence of the amount of HPMC and its internal viscosity on allopurinol release from HPMC sustained release tablets.

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  • 模型引入相对渗透速度刻画药物释放过程不同机理影响,并用方法对方程进行求解。

    The relative permeating rate was introduced to describe the effects of the different physical processes. An asymptotic solution has been obtained by using the perturbation theory.

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  • 结论建立了模型药物血管外给药零级释放一级释放药物动力学

    Conclusion the pharmacokinetic theories of the zero-order release and the first-order release of mono-compartment drugs administered by non-parenteral route have been established.

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  • 结论建立了模型药物血管外给药零级释放一级释放药物动力学

    Conclusion the pharmacokinetic theories of the zero-order release and the first-order release of mono-compartment drugs administered by non-parenteral route have been established.

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