DEVELOPMENT OF MULTI-ANALYTE BIOSENSOR BASED ON SCREEN-PRINTED CARBON ELECTRODE (SPCE) MODIFIED WITH GRAPHENE OXIDE AND GOLD NANOPARTICLES (GO-AUNP)

• Main Author: Alamsyah, Mohamad
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/78862
• Institution: Institut Teknologi Bandung

One of the methods developed for the detection of multi-analyte samples is electrochemical biosensor with the advantages of easy analytical method, good performance, versatile use of analytes, low manufacturing costs, and mass miniaturization. Nanomaterial-based electrode modifications are widely studied because they can provide better performance from a number of properties of the nanomaterials used, which include high electrical conductivity, large surface area, soluble in water, strong bonds with molecules, and high redox catalytic capabilities. In this final project, a multi-analyte Screen Printed Carbon Electrode (SPCE) biosensor was developed with modified graphene oxide and gold nanoparticles (GO-AuNP). GO-AuNP was synthesized using the green synthesis method with clove oil reducing agent. Nanomaterials were characterized using Scanning Electron Microscope (SEM), Energy Dispersive X-Ray Spectroscopy (EDX), X-Ray Diffraction (XRD), and UV-Vis Spectroscopy. Nanomaterial was deposited on SPCE using the drop-casting method to become SPCE/GO-AuNP. The performance of the biosensor was analyzed electrochemically using cyclic voltammetry (CV) and square wave voltammetry (SWV). There are six types of analytes used, namely glucose, hydrogen peroxide, ascorbic acid (AA), uric acid (UA), dopamine (DA), and lactate. Of the six test analytes, SPCE/GO-AuNP can detect AA, UA, and DA. Afterwards, the three analytes were tested with a combination of two and three analytes and the results showed that there was interference of the peak current signals due to the analytes with each other which caused a shift in the peak of each analyte and affected the value of the calibration plot. The three analytes respectively had limit of detection (LoD) performance values of 32.34 ?M, 26,54 ?M, and 4.79 ?M; limit of quantification (LoQ) performance values of 98.01 ?M, 80,43 ?M, and 14.50 ?M; and linear ranges from 500 - 2000 ?M, 100 - 1000 ?M, and 1 - 50 ?M with R2 of 0.99966, 0.97587, and 0.99271. AA can be quantified in tears and UA can be quantified in red blood cells, tears, and saliva.