Authors: Hardawan A Darwesh Ali1 & Yousif M. Hassan2
1Department of Physics, College of Science, Salahaddin university, Erbil, Iraq
2Department of Physics, College of Science, Salahaddin university, Erbil, Iraq
Abstract: Double-layered porous silicon was prepared by Stain etching and Metal assisted chemical etching (MACE) methods and examined in the detection of Klebsiella. A P-type silicon wafer is firstly poroused by stain etching method using hydrofluoric acid (HF) and nitric acid (HNO3). The poroused silicon is deposited by copper via the classical electrochemical deposition process then the copper-coated silicon is etched again in HF and hydrogen peroxide (H2O2). The stain etching process obtains micro-sized pores on the surface of the silicon; on the other hand, the copper assisted chemical etching step forms more nanopores that help to capture bacteria. The chemical constituent of the double etched porous silicon was measured by Energy Dispersive X-ray Spectroscopy (EDX). The Scanning Electron Microscopy (SEM) method is used to observe the morphology and pore dispersion of the sample. The SEM images show that the nano-sized and micro-sized pores are formed. The prepared porous silicon is applied for Klebsiella detection. The Fourier transform infrared radiation (FTIR) test of the sample illustrates the adhesion of the bacteria to the porous silicon. This can be observed through the formation of the new peaks in the FTIR graphs when the graphs are compared before and after Klebsiella introduction. The carbon-carbon double and triple bonds and proton-oxygen double bond formation proofs the adhesion of the bacteria to the porous silicon. This method of acquiring nanoporous silicon as well as the FTIR results can be used to detect bacteria generally by differentiating the types of bond vibrations of the bacteria. This is a fast, easy and affordable method to manufacture biosensor with an improved affinity.
Keywords: Nanoporous Silicon, Klebsiella, Biosensor, Copper Deposition, Stain Etching, FTIR Spectroscopy, Detection
Published: February 22, 2023
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