메뉴 건너뛰기




Volumn 28, Issue 23, 2016, Pages 4678-4683

Extremely Stretchable and Fast Self-Healing Hydrogels

Author keywords

hydrogels; hydrogen bonding; hydrophobic association; self healing; strechability

Indexed keywords

ACRYLIC MONOMERS; AMIDES; ASSOCIATION REACTIONS; HIERARCHICAL SYSTEMS; HYDROGELS; HYDROPHOBICITY; SELF-HEALING MATERIALS; STRESS ANALYSIS;

EID: 84973636302     PISSN: 09359648     EISSN: 15214095     Source Type: Journal    
DOI: 10.1002/adma.201600480     Document Type: Article
Times cited : (430)

References (36)
  • 34
    • 85043169899 scopus 로고    scopus 로고
    • Cut samples that were exposed to air for 3 min were brought into contact with each other inside a sealed chamber. The region adjacent to the cut surface became cloudy and then shrank to a relative homogeneous state. In these hydrogels, SDS is the only component that can induce cloudiness through dynamic light scatteringthus we attribute the cloudiness to the temporary formation of larger SDS micelles. We propose that this process contributes to the self-healing behavior. See the Supporting Information section for a more detailed discussion
    • Cut samples that were exposed to air for 3 min were brought into contact with each other inside a sealed chamber. The region adjacent to the cut surface became cloudy and then shrank to a relative homogeneous state. In these hydrogels, SDS is the only component that can induce cloudiness through dynamic light scattering, and thus we attribute the cloudiness to the temporary formation of larger SDS micelles. We propose that this process contributes to the self-healing behavior. See the Supporting Information section for a more detailed discussion.
  • 35
    • 85099671895 scopus 로고    scopus 로고
    • The hydrogels also self-heal under conditions of high relative humidity (92%), although the process is significantly slower (≈3 min) and the bond is not as strong—the stretch to failure is reduced by ≈50% for hydrogel samples synthesized with 9.1 × 10, UPyHCBA.
    • −3 M UPyHCBA.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.