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The results showed significant improvement in the yield of Au bipyramidal type nanoparticles in different sizes (nm to μm) by using binary surfactant mixtures without any need for shape selection procedure.
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In crude analysis, they were a priori coded by using binary dummy variables, to improve understanding.
Guo et al. [7] described a controllable method to fabricate hexagonal close-packed Langmuir-Blodgett silica particulate monolayers modifying the silica surface by using a binary surfactant and solvent systems, reducing in this way fissures along the surface layer.
Odds ratio was calculated using binary logistic regression of two-by-two contingency tables.
In current research, sustained release nefopam hydrochloride loaded nanospheres (NFH-NS) were auspiciously synthesized using binary mixture of eudragit RL 100 and RS 100 with sorbitan monooleate as surfactant by quasi solvent diffusion technique and optimized by 35 Box Behnken designs to evaluate the effects of process and formulation variables.
IDNC is implemented by mixing packets using the binary field, i.e., encoding is performed using binary XOR operations [11].
† Binary variable, OR was calculated using binary logistic regression.
Here, we report the shape-controlled synthesis of Au nanoparticles using a binary surfactant mixture of CTAB (cetyltrimethylammonium bromide) and DDAB (didodecyldimethylammonium bromide) via a silver-assisted seed-mediated growth approach.
The cumulative oil recovery achieved by using surfactant was 94%%.
By using an appropriate surfactant, we can obtain highly porous clays with various pore structures.
This is efficiently realized by using a binary morphological reconstruction method [ 14].
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