The Prediction of Photoactive Semiconductor Potential of Bio-Activated Rice Husk Ash Using Analytical Method
NM Dwidiania, NPG Suardanaa, ING Wardanab, Willy Satrio Nb, IGK Pujac, IGN Nitya Santhiarsaa, WN Septiadia and AAA Suryawana
aUdayana University, Jl. Raya Kampus Unud, Jimbaran, Kuta Selatan, Kabupaten Badung, Bali 80361, Indonesia
bBrawijaya University, Jl. Veteran No.10-11, Ketawanggede, Lowokwaru, Kota Malang, Jawa Timur 65145, Indonesia
cDepartment of Mechanical Engineering, Sanata Dharma University, Paingan, Maguwoharjo, Depok, Sleman 55288, Yogyakarta, Indonesia
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Abstract:
This study investigates the photoactive potential of bio-activated rice husk ash (RHA) as a semiconductor using analytical methods for CuO and SiO2 extraction prediction. The study focuses on the enhancement of photoactive characteristics in RHA through bioactivation, utilizing pineapple peel juice as a natural activator. Analytical method based on UV-Vis spectroscopy peak frequency of RHA, sunked (SCNM), and floated (FCNM) products were utilized to determine CuO and SiO2 extraction potential. We employ modern physics theorem to determine photosensitizing capability of each sample based on CuO and SiO2 characterization results. The results indicate SCNM is the best material to extract CuO and SiO2 due to its lowest bandgap energy, Highest hole carrier concentration, highest electron-pair, and produce more photosensitive material. Hence, SCNM is the best RHA derivative for organic photoactive semiconducting material.
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