Abstract

Titanium dioxide (TiO2) nanostructured materials have attracted attention due to their application at various fields such as photocatalysis, solar cell and photochemical applications. Whereas TiO2 could exhibit high efficiency of solar cell and economical than traditional silicon solar cells. In this study, hydrothermal method demonstrated to synthesis TiO2 nanorods properties at different hydrothermal reaction times and various hydrochloric acid volumes. Increasing the reaction time could influence the thickness towards high crystalline rutile formation while modifying the hydrochloric (HCl) acid concentration favours a great influence on the morphologies and alignment of the nanostructure. The result is beneficial for improvements thin film power conversion efficiency.

Highlights

  • TiO2 is an n-type metal oxide semiconductor with wider band gap of more than 3.0 eV, comes in three major types of nature, which are anatase, rutile and brookite

  • A good crystalline of film synthesized could be improved by increasing the hydrothermal reaction time when two peaks existed at 27 and 77° corresponding to (110) and (321) plane, suggested more TiO2 nanorods structure grown in various planes

  • All the results indicate that the TiO2 morphology could be adjusted by modifying the amount of HCl content

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Summary

INTRODUCTION

TiO2 is an n-type metal oxide semiconductor with wider band gap of more than 3.0 eV, comes in three major types of nature, which are anatase, rutile and brookite. Rutile TiO2 is known as the most stable phase compare to anatase and brookite.[1] Presently, the interest towards nanostructures become popular because of its outstanding features such larger exposure area to sunlight, high surface-to-volume ratio, non-toxicity, uniquely photochemical and photo-physical properties and for their electron-transport properties.[2] variety of TiO2 nanostructures such as nanoparticles, nanotubes, nanorods, nanofibers, and nanoflowers has been prepared.

RESEARCH METHOD
Univariat Influence of hydrothermal reaction time
Bivariat
CONCLUSION
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