2010
DOI: 10.1080/15363830903586492
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Applying the Multiple Linear Regressions and Taguchi Design Method for Controlled Fabrication of Carbon Nanotubes in Solution

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Cited by 7 publications
(5 citation statements)
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“…Examples of nanomaterials include nanotubes and nanofibers, liposomes, nanoparticles, polymeric micelles, block ionomer complexes, nanogels, and dendrimers. Nanotubes [28,29] and nanofibers mimic tubular structures that appear in nature, such as rod shaped bacteria or viruses, microtubules, ion channels, as well as axons and dendrites. They are low-dimensional nanostructures, having a very large axial ratio.…”
Section: Challenge Referencesmentioning
confidence: 99%
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“…Examples of nanomaterials include nanotubes and nanofibers, liposomes, nanoparticles, polymeric micelles, block ionomer complexes, nanogels, and dendrimers. Nanotubes [28,29] and nanofibers mimic tubular structures that appear in nature, such as rod shaped bacteria or viruses, microtubules, ion channels, as well as axons and dendrites. They are low-dimensional nanostructures, having a very large axial ratio.…”
Section: Challenge Referencesmentioning
confidence: 99%
“…Carbon nanotubes (CNTs) was discovered by Iijima [33] which are composed of carbon atoms arranged in hexagonal ring structures similar to graphite, with some five-membered or seven-membered rings providing the structure curvature [29,34,35]. CNTs are compatible with biological tissues for scaffolding purposes and the charge carried by the nanotubes can be manipulated to control neurite outgrowth [36,37].…”
Section: Challenge Referencesmentioning
confidence: 99%
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“…The cost of these methods is high and the results can be erroneous. The Taguchi method, on the other hand, overcame these problems and made fractional factorial design simpler [10]. With the Taguchi experimental design method, it uses controllable factors before, during and after production in the best way and minimizes the variable against uncontrollable factors [4].…”
Section: Introductionmentioning
confidence: 99%
“…Regression analysis has previously been applied in biochemistry [49,104], biology [50,51], environmental science [105,106], and nanomedicine [107,108] Regression is said to be linear if the parameters in the regression equation are linear and equation needs not be linear in terms of independent variables. The linear model can be described by following equation.…”
Section: Multiple Regression Analysismentioning
confidence: 99%