Suppr超能文献

麦芽七糖-b-PMMA 嵌段共聚物体系的自组装:薄膜和体相的 10nm 分辨率。

Self-assembly of maltoheptaose-b-PMMA block copolymer systems: 10nm Resolution in thin film and bulk states.

机构信息

Univ. Grenoble Alpes, F-38000, Grenoble, France; CNRS-CERMAV, F-38000, Grenoble, France; Departamento de Ciência dos Alimentos (PGCAL), Universidade Federal de Santa Catarina, CEP - 88034-001 Florianópolis, Santa Catarina, Brazil.

Univ. Grenoble Alpes, F-38000, Grenoble, France; CNRS-CERMAV, F-38000, Grenoble, France.

出版信息

Carbohydr Polym. 2017 Aug 15;170:15-22. doi: 10.1016/j.carbpol.2017.04.029. Epub 2017 Apr 19.

Abstract

This paper describes the self-assembly of oligosaccharide-based hybrid block copolymers (BCPs) consisting of maltoheptaose (MH) and poly(methyl methacrylate) (PMMA) into 10nm scale lamellar and cylindrical phases depending on the volume fractions of MH (ϕ) and the annealing process. Time resolved SAXS study of the BCP bulk samples during thermal annealing indicated that the BCPs phase separate into 10nm scale periodical structures. The solvent vapor annealing induced self-organizations of the BCP into different phases depending on ϕ and the weight fraction of THF/HO. BCPs with relatively higher Ø, MH-b-PMMA (ϕ=0.27) and MH-b-PMMA (ϕ=0.16) self-organized into lamellar phases while the BCP sample with relatively lower ϕ, MH-b-PMMA (ϕ=0.10), self-organized into cylindrical phase by using THF/HO=1/4 (w/w). On the other hand, the solvent vapor annealing with larger fraction of THF, i.e. THF/HO=2/3 (w/w), induced cylindrical phases for MH-b-PMMA and MH-b-PMMA.

摘要

本文描述了由麦芽七糖(MH)和聚甲基丙烯酸甲酯(PMMA)组成的基于寡糖的杂化嵌段共聚物(BCP)的自组装,这些共聚物根据 MH 的体积分数(ϕ)和退火过程分为 10nm 尺度的层状和圆柱状相。对 BCP 体相样品在热退火过程中的时间分辨 SAXS 研究表明,BCP 相分离为 10nm 尺度的周期性结构。溶剂蒸气退火根据 ϕ 和四氢呋喃/水的重量分数诱导 BCP 形成不同的相。相对较高 Ø 的 BCP,MH-b-PMMA(ϕ=0.27)和 MH-b-PMMA(ϕ=0.16)自组装成层状相,而相对较低 ϕ 的 BCP 样品,MH-b-PMMA(ϕ=0.10),通过使用四氢呋喃/水=1/4(w/w)自组装成圆柱相。另一方面,具有较大四氢呋喃分数的溶剂蒸气退火,即 THF/HO=2/3(w/w),诱导 MH-b-PMMA 和 MH-b-PMMA 形成圆柱相。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验