2008
DOI: 10.1002/macp.200800087
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Morphological Behavior of Polystyrene‐block‐Polylactide/Polystyrene‐block‐Poly(ethylene oxide) Blends

Abstract: The morphological behavior of PS‐containing diblock copolymer blends is reported. Three sets of PS/PLA and PS/PEO blends are prepared and evaluated by SAXS, WAXS, DSC, and DMA. No macrophase separation is observed, and the formation of PLA/PEO composite cylinders is identified by SAXS for all compositions. The PLA and PEO segments in these blends have been found to be miscible and the crystallization of the confined PEO is suppressed in the ordered nanostructures. The domain spacing, diameter of composite cyli… Show more

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Cited by 27 publications
(21 citation statements)
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“…A rich phase behavior with interesting bulk morphologies was already reported by previous studies 25 26 27 28 29 30 31 . The governing parameters such as blend composition, volume fraction and molecular weight of each polymer component, and the Flory-Huggins segmental interaction parameter (χ) have also been extensively studied 25 27 29 . However, the frequent occurrence of macroscopic phase-separation between two di-BCPs often makes it difficult to achieve new and morphologically uniform nanostructures.…”
supporting
confidence: 72%
See 1 more Smart Citation
“…A rich phase behavior with interesting bulk morphologies was already reported by previous studies 25 26 27 28 29 30 31 . The governing parameters such as blend composition, volume fraction and molecular weight of each polymer component, and the Flory-Huggins segmental interaction parameter (χ) have also been extensively studied 25 27 29 . However, the frequent occurrence of macroscopic phase-separation between two di-BCPs often makes it difficult to achieve new and morphologically uniform nanostructures.…”
supporting
confidence: 72%
“…However, the frequent occurrence of macroscopic phase-separation between two di-BCPs often makes it difficult to achieve new and morphologically uniform nanostructures. One general criterion based on the minimization of interfacial energy to ensure uniform microphase separation in blends of A-B and A-C BCPs is that the χ between the B and C (χ BC ) blocks must be smaller than that between A and B (χ AB ) and between A and C (χ AC ), respectively 25 26 29 . In addition to considerations related to χ, the other key parameters mentioned above also need to be precisely optimized in order to prevent macrophase-separation between constituent BCPs.…”
mentioning
confidence: 99%
“…We proposed that the formation of the defective crystalline domains arose from a local demixing between a fraction of PEO and PLLA chains under the influences of restricted chain mobility of PLLA and the junction point constraint, thus generating the tiny PLLA crystallites intervened by the PEO block chains. As the blends of PEO and PLLA homopolymers with relatively low molecular weight were miscible in the melt, 15–19 the formation of composite microdomains by the PEO and PLLA blocks from their respective copolymers was expected, as that observed in the studies on PS‐ b ‐PEO/polystyrene‐ block ‐poly( d , l ‐lactide) binary blends reported by Mao and Hillmyer 20–22 and in our previous study 14 . A recent study by Chen et al further focused on the binary copolymer blends comprising PS‐ b ‐PEO and polystyrene‐ block ‐poly(acrylic acid) (PS‐ b ‐PAA), in which the hydrogen bonding between PEO and PAA blocks improved their miscibility to form the common microdomains and microphase‐separated against the domains composed of PS blocks; however, the crystallizable chain length of PEO was reduced by the hydrogen bonds, causing the crystallization to occur within a more confined region 23 …”
Section: Introductionsupporting
confidence: 62%
“…In contrast to (SI/IS)O materials where every χ ij >> 0, the LSO polymers studied herein feature low χ AC between the end blocks (χ LO K 0). Actual literature estimates for χ LO range from 0.0038 to −0.161 depending on end groups and measurement techniques (49,50). Combining any −0.161 < χ LO < 0.0038 with the aforementioned literature values χ LS = 0.080 and χ SO = 0.049 yields a frustrated system.…”
Section: Resultsmentioning
confidence: 97%