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Cited 17 time in webofscience Cited 19 time in scopus
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Enhanced oral bioavailability of valsartan using a polymer-based supersaturable selfmicroemulsifying drug delivery system

Authors
Yeom, Dong WooChae, Bo RamSon, Ho YongKim, Jin HanChae, Jun SooSong, Seh HyonOh, DonghoChoi, Young Wook
Issue Date
May-2017
Publisher
DOVE MEDICAL PRESS LTD
Keywords
valsartan; SMEDDS; supersaturation; factorial design; optimization; bioavailability
Citation
INTERNATIONAL JOURNAL OF NANOMEDICINE, v.12, pp 3533 - 3545
Pages
13
Journal Title
INTERNATIONAL JOURNAL OF NANOMEDICINE
Volume
12
Start Page
3533
End Page
3545
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/6224
DOI
10.2147/IJN.S136599
ISSN
1178-2013
1178-2013
Abstract
A novel, supersaturable self-microemulsifying drug delivery system (S-SMEDDS) was successfully formulated to enhance the dissolution and oral absorption of valsartan (VST), a poorly water-soluble drug, while reducing the total quantity for administration. Poloxamer 407 is a selectable, supersaturating agent for VST-containing SMEDDS composed of 10% Capmul (R) MCM, 45% Tween (R) 20, and 45% Transcutol (R) P. The amounts of SMEDDS and Poloxamer 407 were chosen as formulation variables for a 3-level factorial design. Further optimization was established by weighting different levels of importance on response variables for dissolution and total quantity, resulting in an optimal S-SMEDDS in large quantity (S-SMEDDS_LQ; 352 mg in total) and S-SMEDDS in reduced quantity (S-SMEDDS_RQ; 144.6 mg in total). Good agreement was observed between predicted and experimental values for response variables. Consequently, compared with VST powder or suspension and SMEDDS, both S-SMEDDS_LQ and S-SMEDDS_RQ showed excellent in vitro dissolution and in vivo oral bioavailability in rats. The magnitude of dissolution and absorption-enhancing capacities using quantity-based comparisons was in the order S-SMEDDS_RQ > S-SMEDDS_LQ > SMEDDS > VST powder or suspension. Thus, we concluded that, in terms of developing an effective SMEDDS preparation with minimal total quantity, S-SMEDDS_RQ is a promising candidate.
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