MOLECULARLY IMPRINTED POLY(METHYL RED) MODIFIED CARBON PASTE ELECTRODE FOR VOLTAMMETRIC DETERMINATION OF URIC ACID
Uric acid is the final product of purine metabolism in human body. Determination of uric acid in human urine is clinically important because abnormality indicates several diseases such as cardiovascular disease, hyperuricemia, gout and Lesch- Nyhan. Determination of uric acid can be done using sever...
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| Format: | Theses |
| Language: | Indonesia |
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| Online Access: | https://digilib.itb.ac.id/gdl/view/34113 |
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| Institution: | Institut Teknologi Bandung |
| Language: | Indonesia |
| Summary: | Uric acid is the final product of purine metabolism in human body. Determination of uric acid in human urine is clinically important because abnormality indicates several diseases such as cardiovascular disease, hyperuricemia, gout and Lesch- Nyhan. Determination of uric acid can be done using several analytical methods such as spectrophotometry, chromatography, capillary electrophoresis and voltammetry.Voltammetry method has many advantages in term of equipment, simplicity of analytical procedures, sensitivity, selectivity and measurement cost. The purpose of this research was to develop voltammetry method for uric acid determination using Molecularly Imprinted Polymer (MIP) modified carbon paste electrode (CPE). The CPE was modifiedwith cyclic voltammetry (CV) technique (15 cycle) at potential range of -1,0 V – 2,0 V and scan rate of 100 mV/s, in solution containing methyl red, uric acid and 0,1 M NaOH as supporting electrolyte. Uric acid was removed using 3 cycles of CV in 0,1 M NaOH at potential range of -0,2 V – 0,8 V and scan rate of 100 mV/s. Uric acid measurements were conducted using square wave voltammetry (SWV) technique in 0,1 M phosphate buffer pH 7 as supporting electrolyte. This electrode provides good response toward uric acid measurements with linear range at concentration range of 1 µM – 200 µM and limit of detection of 0,83 µM. Determination of uric acid in urine resulted in percent recovery between 98,67 – 102,84%, which indicates a good accuracy of the method.
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