Literature DB >> 24841046

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

Jing Yuan1, Yanan Gao, Tiaotiao Liu, Xinyu Wang, Hongzhuo Liu, Sanming Li.   

Abstract

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.

Entities:  

Keywords:  Carrier material; dual drug loading; impact factors; ion-exchange fiber; mathematical method; prediction method; thermodynamics

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Year:  2014        PMID: 24841046     DOI: 10.3109/10837450.2014.920356

Source DB:  PubMed          Journal:  Pharm Dev Technol        ISSN: 1083-7450            Impact factor:   3.133


  1 in total

1.  Drug-Loadable Calcium Alginate Hydrogel System for Use in Oral Bone Tissue Repair.

Authors:  Luyuan Chen; Renze Shen; Satoshi Komasa; Yanxiang Xue; Bingyu Jin; Yepo Hou; Joji Okazaki; Jie Gao
Journal:  Int J Mol Sci       Date:  2017-05-06       Impact factor: 5.923

  1 in total

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