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Critical Reviews™ in Therapeutic Drug Carrier Systems

年間 6 号発行

ISSN 印刷: 0743-4863

ISSN オンライン: 2162-660X

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 2.7 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 3.6 The Immediacy Index is the average number of times an article is cited in the year it is published. The journal Immediacy Index indicates how quickly articles in a journal are cited. Immediacy Index: 0.8 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00023 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.39 SJR: 0.42 SNIP: 0.89 CiteScore™:: 5.5 H-Index: 79

Indexed in

Poly(lactic-co-glycolic) Acid−Controlled-Release Systems: Experimental and Modeling Insights

巻 30, 発行 3, 2013, pp. 257-276
DOI: 10.1615/CritRevTherDrugCarrierSyst.2013006475
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要約

Poly(lactic-co-glycolic acid) (PLGA) has been the most successful polymeric biomaterial used in controlled drug delivery systems. There are several different chemical and physical properties of PLGA that impact the release behavior of drugs from PLGA delivery devices. These properties must be considered and optimized in the formulation of drug release devices. Mathematical modeling is a useful tool for identifying, characterizing, and predicting mechanisms of controlled release. The advantages and limitations of poly(lactic-co-glycolic acid) for controlled release are reviewed, followed by a review of current approaches in controlled-release technology that utilize PLGA. Mathematical modeling applied toward controlled-release rates from PLGA-based devices also will be discussed to provide a complete picture of a state-of-the-art understanding of the control that can be achieved with this polymeric system, as well as the limitations.

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