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Interaction between Polymer Brush and Nanoparticle: Brownian Dynamics Investigation

100%
Zhang Q., Xiang X.
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EN
We use Brownian dynamics simulations to study the adsorption behavior of a nanosized particle on polymer brushes. The adsorption process, the dynamic behavior of the nanoparticle in brush, the penetration depth, and the diffusion coefficient of the nanoparticle in different depths of the brush are all investigated for different grafting densities. We provide an area density Γp, which is the area average of the monomer number above the embedded nanoparticle in brush. We find that this area density explains well qualitatively the experimental phenomenon that the nanoparticles exhibit a maximum in the adsorbed amount as a function of the grafting density of brush.
2
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Morphology Transformation of a Polymeric Micelle Induced by Two Encapsulated Particles

100%
Zhang Q., Xiang X.
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vol. 126
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issue 6
1338-1342
EN
We begin with a pair of spherical particles encapsulated in a micelle and solve the problem within the self-consistent field theory to investigate the morphology transformation of the micelle induced by two nano-particles. The micelles are based on amphiphilic diblock copolymer AB in homopolymer A solvents. The nano-particles are simple models of proteins or colloids. We predict different micelle structures, and relate these morphologies to particle sizes, distances between two particles, and chemical potentials of the amphiphile molecules. There are found complex structures of the micelle induced by the twin particles: many reverse micelles only with even numbers or only one micelle attached at one of the two particles. These results are of immediate interests to the interactions of micelles and particles, as well as to the transitions between vesicles and micelles.
3

Mapping QTLs for root morphological traits in Brassica rapa L. based on AFLP and RAPD markers

71%
Lu G., Cao J., Yu X., Xiang X., Chen H.
Journal of Applied Genetics
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2008
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vol. 49
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issue 1
23-31
EN
Root growth and thickening plays a key role in the final productivity and even the quality of storage roots in root crops. This study was conducted to identify and map quantitative trait loci (QTLs) affecting root morphological traits in Brassica rapa by using molecular markers. An F2 population was developed from a cross between Chinese cabbage (Brassica rapa ssp. chinensis) and turnip (B. rapa ssp. rapifera), which differed greatly in root characters. A genetic map covering 1837.1 cM, with 192 marker loci and 11 linkage groups, was constructed by using this F2 population. The F3 families derived from F2 plants were grown in the field and evaluated for taproot traits (thickness, length, and weight). QTL analysis via simple interval mapping detected 18 QTLs for the 3 root traits, including 7 QTLs for taproot thickness, 5 QTLs for taproot length, and 6 QTLs for taproot weight. Individually, the QTLs accounted for 8.4?27.4% of the phenotypic variation. The 2 major QTLs, qTRT4b for taproot thickness and qTRW4 for taproot weight, explained 27.4% and 24.8% of the total phenotypic variance, respectively. The QTLs for root traits, firstly detected in Brassica crops, may provide a basis for marker-assisted selection to improve productivity in root-crop breeding.
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