Please use this identifier to cite or link to this item: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/2713
Title: Melt polycondensation approach for reduction degradable helical polyester based on l‐cystine
Authors: Anantharaj, Santhanaraj
JAYAKANNAN, MANICKAM
Dept. of Chemistry
Keywords: Melt polycondensation
Helical polyester
l?cystine
Functional polyesters
Degradable polymeric materials
2016
Issue Date: Sep-2016
Publisher: Wiley
Citation: Journal of Polymer Science Part A: Polymer Chemistry 54(18), 2864-2875.
Abstract: Melt polycondensation approach is developed for new classes of reduction responsive disulfide containing functional polyesters based on l‐cystine amino acid resources under solvent free process. l‐Cystine was converted into multi‐functional ester‐urethane monomer and subjected to thermoselective transesterification at 120 °C with commercial diols in the presence of Ti(OBu)4 to produce polyesters with urethane side chains. The polymers were produced in moderate to high molecular weights and the polymers were found to be thermally stable up to 250 °C. The β‐sheet hydrogen bonding interaction among the side chain urethane unit facilitated the self‐assembly of the polyester into amyloid‐like fibrils. The deprotection of urethane unit into amine functionality modified the polymers into water soluble cationic polyester spherical nanoparticles. The reduction degradation of disulfide bond was studied using DTT as a reducing agent and the high molecular weight polymers chains were found be chopped into low molecular weight oligomers. The cytotoxicity of cationic disulfide nanoparticle was studied in MCF‐7 cells and they were found to be biocompatible and non‐toxic to cells upto 50 μg/mL. The custom designed reduction degradable and highly biocompatible disulfide polyesters from l‐cystine are useful for futuristic biomedical applications.
URI: http://dr.iiserpune.ac.in:8080/xmlui/handle/123456789/2713
https://doi.org/10.1002/pola.28172
ISSN: 0887-624X
1099-0518
Appears in Collections:JOURNAL ARTICLES

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