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Dual drug load and release behavior on ion-exchange fiber: influencing factors and prediction method for precise control of the loading amount

机译:离子交换纤维上的双重药物负载和释放行为:影响负载量精确控制的因素和预测方法

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摘要

Ion-exchange fiber undergoes a stoichiometric exchange reaction and has large exchange capability, which makes it a promising candidate as a multiple drug carrier. Because combinatorial effects can act synergistically, additively or antagonistically depending on the ratio of the agents being combined, the objective of this study was to learn the dual drug loading of ion-exchange fiber and develop a mathematical method for precisely control of the loading amount. Atenolol and Gatifloxacin, with different loading behaviors into strong cationic ion-exchange fiber ZB-1, were used to build a representative of dual loading. Not suitable pH value of drug solutions could make simultaneous loading fail, while the change of drug solution volume hardly affected the equilibrium. Ion-exchange groups occupied by the drug which owned lower affinity to fiber could be grabbed by the higher affinity drug, indicating the existence of competition between drugs. Thermodynamic model was introduced to guide the loading prediction and a favorable relevance had been shown between determined and predicted data. The release behaviors of each drug from dual drug-fiber complex were similar to those from single drug-fiber complexes.
机译:离子交换纤维发生化学计量交换反应,交换能力大,因此有望成为多种药物的载体。由于组合作用可以根据所组合药剂的比例协同作用,相加作用或拮抗作用,因此本研究的目的是了解离子交换纤维的双重药物负载量,并开发一种精确控制负载量的数学方法。阿替洛尔和加替沙星在强阳离子交换纤维ZB-1中具有不同的加载行为,被用来代表双重加载。不合适的药液pH值会使同时加样失败,而药液体积的变化几乎不会影响平衡。对纤维具有较低亲和力的药物所占据的离子交换基团可能会被较高亲和力的药物抢占,这表明药物之间存在竞争。引入了热力学模型来指导负荷预测,并在确定和预测的数据之间显示出良好的相关性。每种药物从双重药物-纤维复合物中的释放行为与从单一药物-纤维复合物中的释放行为相似。

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