19 research outputs found
Dependence of the Internal Structure on Water/Particle Volume Ratio in an Amphiphilic Janus Particle–Water–Oil Ternary System: From Micelle-like Clusters to Emulsions of Spherical Droplets
Amphiphilic Janus
particles (AJP), composed of hydrophilic and
hydrophobic hemispheres, are one of the simplest anisotropic colloids,
and they exhibit higher surface activities than particles with homogeneous
surface properties. Consequently, a ternary system of AJP, water,
and oil can form extremely stable Pickering emulsions, with internal
structures that depend on the Janus structure of the particles and
the system composition. However, the detail of these structures has
not been fully explored, especially for the composition range where
the amount of the minority liquid phase and AJP are comparable, where
one would expect the Janus characteristics to be directly reflected.
In this study, we varied the volume ratio of the particles and the
minority liquid phase, water, by 2 orders of magnitude around the
comparable composition range, and observed the resultant structures
at the resolution of the individual particle dimensions by optical
microscopy. When the volume ratio of water is smaller than that of
the Janus particles, capillary interactions between the hydrophilic
hemispheres of the particles induce micelle-like clusters in which
the hydrophilic sides of the particles face inward. With increasing
water content, these clusters grow into a rodlike morphology. When
the water volume exceeds that of the particles, the structure transforms
into an emulsion state composed of spherical droplets, colloidosomes,
because of the surface activity of particles at the liquid–liquid
interface. Thus, we found that a change in volume fraction alters
the mechanism of structure formation in the ternary system, and large
resulting morphological changes in the self-assembled structures reflect
the anisotropy of the particles. The self-assembly shows essential
commonalities with that in microemulsions of surfactant molecules,
however the AJP system is stabilized only kinetically. Analysis of
the dependence of the emulsion droplet size on composition shows that
almost all the particles are adsorbed at the water–oil interface;
i.e., the particles show ideal surface activity
Correlation map of striatal functional subdivisions and extrastriatal regions, in addition to that of within striatal subdivisions.
<p>Correlations in brighter color (yellow) represent higher ones in terms of magnitude than those in red.</p
Correlations between striatum and extrastriatal regions and intercorrelations among striatal subdivisions in dopamine D<sub>1</sub> receptor BP<sub>ND</sub>.
<p>**P<0.01, *P<0.05. Correlations in red: intercorrelations among striatal subdivisions. Correlations in blue: correlations between striatal subdivisions and extrastriatal regions. R<sup>2</sup> values are presented for the correlations.</p
Additional file 1 of Blood levels of glial fibrillary acidic protein for predicting clinical progression to Alzheimer’s disease in adults without dementia: a systematic review and meta-analysis protocol
Additional file 1: Appendix 1. Search strategies. Appendix 2. Data extraction form
Definition of striatal functional subdivisions.
<p>Upper panel: MR images and regions of interest. Lower panel: parametric images corresponding to MR images in the upper panel.</p
Correlation matrix of regions extracted as clusters using the biclustering analysis and their adjacent regions (outside of the yellow boxes).
<p>(A) The first cluster consisted of correlations between 5-HT<sub>2A</sub> receptor binding potentials (<i>BP</i>) for the frontal and parietal cortices and D<sub>2</sub> receptor <i>BP</i> for broad cortical regions (71 regions). Regions in the first cluster (inside the yellow boxes): supplementary motor area (19, 20), superior parietal gyrus (53, 54), paracentral lobule (63, 64); regions adjacent to the first cluster (outside of the yellow boxes): inferior parietal gyrus (55, 56), postcentral gyrus (51, 52), precuneus (61, 62), and superior frontal gyrus (3, 4). (B) The second cluster consisted of correlations between 5-HT<sub>2A</sub> receptor <i>BP</i> for the bilateral hippocampi and D<sub>2</sub> receptor <i>BP</i> for broad regions (73 regions) in the cerebral cortex. Regions in the second cluster (inside the yellow boxes): hippocampus (33, 34), regions adjacent to the second cluster (outside of the yellow boxes): parahippocampus (35, 36) and fusiform (49, 50).</p
Brain regions used for the correlation matrix analysis.
<p>Brain regions used for the correlation matrix analysis.</p
A diagram of procedures of correlation and clustering analyses.
<p>A) Individual binding potential (<i>BP)</i> values of [<sup>18</sup>F]altanserin and [<sup>11</sup>C]FLB 457 were extracted for 76 regions in seven subjects. B) A correlation matrix of correlation coefficients was calculated between <i>BP</i> values of [<sup>18</sup>F]altanserin and [<sup>11</sup>C]FLB 457 for the 76 regions. An example of a scatter diagram (top) shows the correlation between <i>BP</i> values of [<sup>11</sup>C]FLB 457 in the left superior parietal gyrus (region #53) and the <i>BP</i> values of [<sup>18</sup>F]altanserin in the left fusiform gyrus (region #49). C) Biclustering was performed on the matrix using an iterative signature algorithm (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0189318#sec005" target="_blank">Methods</a>). R<sup>(n)</sup> and C<sup>(n)</sup>: sets of rows and columns at the n<sup>th</sup> iteration, Score<sub>row</sub> and Score<sub>column</sub>: the evaluation scores for the rows and columns, Thr.row and Thr.column: thresholds for the rows and columns. D) Two clusters of regions were identified (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0189318#sec014" target="_blank">Results</a>).</p
Regional binding potential (<i>BP</i>) values for 5-HT<sub>2A</sub> and D<sub>2</sub> receptors in cerebral cortical regions.
<p>Mean <i>BP</i> values for [<sup>18</sup>F]altanserin for 5-HT<sub>2A</sub> receptors (blue) and [<sup>11</sup>C]FLB 457 for D<sub>2</sub> receptors (red) were plotted for 76 cerebral regions. The numbers represent regions defined in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0189318#pone.0189318.t001" target="_blank">Table 1</a>. Raw data of <i>BP</i> values is available as supporting information (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0189318#pone.0189318.s001" target="_blank">S1 File</a>).</p
Correlation matrix of regions containing 5-HT<sub>2A</sub> and D<sub>2</sub> receptors.
<p>A correlation matrix was generated based on Spearman’s correlation coefficients (<i>r</i> values) between individual binding potential values of [<sup>18</sup>F]altanserin for 5-HT<sub>2A</sub> receptors (columns) and [<sup>11</sup>C]FLB457 for D<sub>2</sub> receptors (rows) in 76 regions. The numbers represent regions defined in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0189318#pone.0189318.t001" target="_blank">Table 1</a>. Raw data of the matrix is available as supporting information (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0189318#pone.0189318.s002" target="_blank">S2 File</a>).</p