DEVELOPMENT OF ELECTROCHEMICAL BIOSENSOR BASED ON SCREEN-PRINTED CARBON ELECTRODES MODIFIED WITH MULTI-WALLED CARBON NANOTUBES/SILVER NANOPARTICLES NANOCOMPOSITE FOR URIC ACID DETECTION
Various biomolecules found in human body fluid can provide informations related to the body’s condition, thus can be utilized as biomarkers. One example is the monitoring of uric acid concentration, which has a relation with hyperuricemia. By developing point-of-care testing method to measure bio...
Saved in:
Main Author: | |
---|---|
Format: | Final Project |
Language: | Indonesia |
Subjects: | |
Online Access: | https://digilib.itb.ac.id/gdl/view/71558 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Various biomolecules found in human body fluid can provide informations related
to the body’s condition, thus can be utilized as biomarkers. One example is the
monitoring of uric acid concentration, which has a relation with hyperuricemia. By
developing point-of-care testing method to measure biomarkers’ concentration, the
health monitoring process is expected to be easier, thus preventing worse scenarios
from happening. Nonenzymatic electrochemical biosensor using screen-printed
carbon electrode (SPCE) provide a practical and simple alternative for the
implementation of point-of-care testing. By modifying the electrode’s surface using
multi-walled carbon nanotubes/silver nanoparticles (MWCNT/AgNP)
nanocomposite, the sensor’s detection performance can be increased, thus
providing reliable detection results.
In this research, MWCNT/AgNP nanocomposite was synthesized using oxidationreduction
with reflux process, and was analyzed using SEM, TEM, EDS, FT-IR,
Raman, and XRD characterization methods. The synthesized MWCNT/AgNP was
drop-casted onto SPCE surface with optimization during the drop-casting process.
The optimized MWCNT/AgNP-SPCE was used as uric acid electrochemical
biosensor using differential pulse voltammetry (DPV) analysis method. Based on
several testing, the obtained biosensor was selective and provided good uric acid
detection with limit of detection (LOD), limit of quantification (LOQ), linear range,
and linearity value of 76,4 nM, 254,7 nM, 10-1000 ?M, and 0,986 respectively.
These performance values covered normal possible concentration of uric acid in
serum, thus indicates that MWCNT/AgNP-SPCE had the potential to be used as
uric acid electrochemical biosensor using serum sample. |
---|