The Assessment Characteristic of ZnO Material for Optical Sensing Layer Probe Using Average Scanning of FFT (ASFFT) Method

Abstract

ZnO material characterization was done to be used as optical probes from the plastic optical fiber. Characterization of ZnO materials by processing data obtained from scanning probe microscope (SPM) NTEGRA-AURA. The obtained data is in the form of images with different distance observations. It will be processed by 11 simulated images of proceeds image analysis (IA Analysis). Methodology of data processing is using average scanning Fast Fourier Transformation (ASFFT). This method consists of five characterization data processing techniques, i.e., power spectral density techniques, power spectral technique, magnitude spectrum technique, square root magnitude spectrum techniques and logarithmic spectrum techniques. The goal of average scanning FFT is determines a value of special characterization, because the result of surface morphology from SPM images cannot give exact information . Each techniques in this method will be used to see the details of each ZnO layer surface morphology of in units of frequency or frequency. The observation study of ZnO characterization is made by Atomic Force Microscopy without doing renovation materials. The treatment material as a layer probe of plastic optical fiber sensor was studied for detecting various chemical vapor and air pressure. Based on the detection method called interferometric Fabry – Perot, Plastic Optical Fiber probes will detect the changes of ZnO layer refractive index causes by environments.