Matches in SemOpenAlex for { <https://semopenalex.org/work/W2147292562> ?p ?o ?g. }
- W2147292562 endingPage "574" @default.
- W2147292562 startingPage "560" @default.
- W2147292562 abstract "We studied the mechanical behavior of densely packed (up to ∼30% v/v), sedimented layers of (1 μm) water-in-oil W/O emulsion droplets, upon indentation with a (10 μm) large spherical probe. In the presence of attractive forces, the droplets form solid like networks which can resist deformation. Adding a polymer to the oil phase was used to control droplet attraction. The droplet layers were assembled via normal gravity settling. Considering that both the network structure and the droplet interactions play a key role, we used a combination of atomic force microscopy (AFM) and confocal scanning laser microscopy (CSLM) to characterize the mechanical behavior. Here the AFM was used both as indentation tool and as force sensor. Indentation experiments were performed via a protocol consisting of approach, waiting, and retract stages. CSLM was used to observe the network structure at micron resolution in real time. Use of refractive index matched fluorescent droplets allowed the visualization of the entire layer. Upon compression with the probe, a markedly nonhomogeneous deformation occurred, evidenced by the formation of a dense corona (containing practically all of the displaced droplets) in the direct vicinity of the probe, as well as more subtle deformations of force-chains at larger distances. Upon decompression, both the imprint of the indenter and the corona remained, even long after the load was released. The force−distance curves recorded with the AFM correspond well to these observations. For each deformation cycle performed on fresh material, the retract curve was much steeper than the approach curve, thus corroborating the occurrence of irreversible compaction. Contrary to classic linear viscoelastic materials, this hysteresis did not show any dependence on the deformation speed. Our force-indentation approach curves were seen to scale roughly as F ∼ δ3/2. The pre-factor was found to increase with the polymer concentration and with the density of the network. These findings suggest that this new AFM-CSLM method could be used for rheological characterization of small volumes of “granular networks” in liquid. Our hypothesis that the mechanical resistance of the networks originates from interdroplet friction forces, which in turn are set by the interdroplet potential forces, is supported by the predictions from a new mechanical model in which the interdroplet bonds are represented by stick-slip elements." @default.
- W2147292562 created "2016-06-24" @default.
- W2147292562 creator A5004381013 @default.
- W2147292562 creator A5014221420 @default.
- W2147292562 creator A5045401670 @default.
- W2147292562 creator A5046557395 @default.
- W2147292562 creator A5070468476 @default.
- W2147292562 creator A5075275138 @default.
- W2147292562 creator A5075502044 @default.
- W2147292562 date "2005-12-16" @default.
- W2147292562 modified "2023-10-17" @default.
- W2147292562 title "Microrheology of Aggregated Emulsion Droplet Networks, Studied with AFM−CSLM" @default.
- W2147292562 cites W1550284006 @default.
- W2147292562 cites W1964241163 @default.
- W2147292562 cites W1967320003 @default.
- W2147292562 cites W1980114899 @default.
- W2147292562 cites W1980515082 @default.
- W2147292562 cites W1987156421 @default.
- W2147292562 cites W1998298531 @default.
- W2147292562 cites W1999440089 @default.
- W2147292562 cites W2003962634 @default.
- W2147292562 cites W2013413400 @default.
- W2147292562 cites W2020177264 @default.
- W2147292562 cites W2030426000 @default.
- W2147292562 cites W2032811533 @default.
- W2147292562 cites W2036754830 @default.
- W2147292562 cites W2043185451 @default.
- W2147292562 cites W2043616751 @default.
- W2147292562 cites W2045175854 @default.
- W2147292562 cites W2047363076 @default.
- W2147292562 cites W2050529278 @default.
- W2147292562 cites W2059959925 @default.
- W2147292562 cites W2060556313 @default.
- W2147292562 cites W2061125468 @default.
- W2147292562 cites W2063253598 @default.
- W2147292562 cites W2067343595 @default.
- W2147292562 cites W2070663004 @default.
- W2147292562 cites W2079072737 @default.
- W2147292562 cites W2079907776 @default.
- W2147292562 cites W2084887751 @default.
- W2147292562 cites W2086727497 @default.
- W2147292562 cites W2124817079 @default.
- W2147292562 cites W2127192534 @default.
- W2147292562 cites W2136338608 @default.
- W2147292562 cites W2141186284 @default.
- W2147292562 cites W2166128882 @default.
- W2147292562 cites W2187636587 @default.
- W2147292562 cites W36161165 @default.
- W2147292562 cites W4246712934 @default.
- W2147292562 doi "https://doi.org/10.1021/la0522653" @default.
- W2147292562 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/16401103" @default.
- W2147292562 hasPublicationYear "2005" @default.
- W2147292562 type Work @default.
- W2147292562 sameAs 2147292562 @default.
- W2147292562 citedByCount "11" @default.
- W2147292562 countsByYear W21472925622012 @default.
- W2147292562 countsByYear W21472925622013 @default.
- W2147292562 countsByYear W21472925622017 @default.
- W2147292562 countsByYear W21472925622019 @default.
- W2147292562 countsByYear W21472925622020 @default.
- W2147292562 countsByYear W21472925622021 @default.
- W2147292562 crossrefType "journal-article" @default.
- W2147292562 hasAuthorship W2147292562A5004381013 @default.
- W2147292562 hasAuthorship W2147292562A5014221420 @default.
- W2147292562 hasAuthorship W2147292562A5045401670 @default.
- W2147292562 hasAuthorship W2147292562A5046557395 @default.
- W2147292562 hasAuthorship W2147292562A5070468476 @default.
- W2147292562 hasAuthorship W2147292562A5075275138 @default.
- W2147292562 hasAuthorship W2147292562A5075502044 @default.
- W2147292562 hasConcept C159985019 @default.
- W2147292562 hasConcept C171250308 @default.
- W2147292562 hasConcept C185592680 @default.
- W2147292562 hasConcept C192562407 @default.
- W2147292562 hasConcept C200990466 @default.
- W2147292562 hasConcept C204366326 @default.
- W2147292562 hasConcept C2777922577 @default.
- W2147292562 hasConcept C2778123984 @default.
- W2147292562 hasConcept C2780902562 @default.
- W2147292562 hasConcept C34123561 @default.
- W2147292562 hasConcept C521977710 @default.
- W2147292562 hasConcept C55493867 @default.
- W2147292562 hasConcept C7500180 @default.
- W2147292562 hasConceptScore W2147292562C159985019 @default.
- W2147292562 hasConceptScore W2147292562C171250308 @default.
- W2147292562 hasConceptScore W2147292562C185592680 @default.
- W2147292562 hasConceptScore W2147292562C192562407 @default.
- W2147292562 hasConceptScore W2147292562C200990466 @default.
- W2147292562 hasConceptScore W2147292562C204366326 @default.
- W2147292562 hasConceptScore W2147292562C2777922577 @default.
- W2147292562 hasConceptScore W2147292562C2778123984 @default.
- W2147292562 hasConceptScore W2147292562C2780902562 @default.
- W2147292562 hasConceptScore W2147292562C34123561 @default.
- W2147292562 hasConceptScore W2147292562C521977710 @default.
- W2147292562 hasConceptScore W2147292562C55493867 @default.
- W2147292562 hasConceptScore W2147292562C7500180 @default.
- W2147292562 hasIssue "2" @default.
- W2147292562 hasLocation W21472925621 @default.
- W2147292562 hasLocation W21472925622 @default.