Simultaneous Voltammetric Detection of Acetaminophen and Caffeine Base on Cassava Starch—Fe3O4 Nanoparticles Modified Glassy Carbon Electrode

The new molecularly imprinted polymer (MIP) membrane based on cassava starch—Fe3O4—was developed to detect acetaminophen and caffeine simultaneously with the differential pulse voltammetry (DPV) method. Cassava starch was reacted with sodium tripolyphosphate (STPP) as a crosslinking agent, while ace...

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Bibliographic Details
Published in:Chemosensors 2019-12, Vol.7 (4), p.49
Main Authors: Mulyasuryani, Ani, Tjahjanto, Rachmat, Andawiyah, Robi’atul
Format: Article
Language:English
Subjects:
Acetaminophen
Analgesics
Buffer solutions
Caffeine
Carbon
Cassava
Crosslinking
Electrodes
Ethanol
Fourier transforms
Glassy carbon
Glycerol
Headaches
Imprinted polymers
Iron oxides
Medical research
Membranes
Nanoparticles
pH effects
Phenols
Polymers
Polyvinyl alcohol
Selectivity
Sensitivity
Sensors
Sodium
Sodium triphosphate
Sodium tripolyphosphate
Starch
Voltammetry
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Summary:The new molecularly imprinted polymer (MIP) membrane based on cassava starch—Fe3O4—was developed to detect acetaminophen and caffeine simultaneously with the differential pulse voltammetry (DPV) method. Cassava starch was reacted with sodium tripolyphosphate (STPP) as a crosslinking agent, while acetaminophen and caffeine were added as templates. The Fe3O4 nanoparticles in the composite were added to increase the sensor’s sensitivity. The experimental results show that the ratio between cassava starch:STPP:acetaminophen/caffeine in the mixture for MIP membranes influences the sensitivity of the sensor obtained. MIP membranes with the best sensitivity is produced at a mixture ratio of 2:2:1. The sensor performance is also affected by the pH of the solution and the type of buffer solution used. The sensor works very well at pH 2 in PB solution. Sensors produced from GCE modified with MIP membrane from cassava starch—Fe3O4 with acetaminophen and caffeine as templates have linear range concentrations, respectively, at 50–2000 µM and 50–900 µM. Sensor sensitivity was 0.5306 A/M against acetaminophen and 0.4314 A/M against caffeine with Limit of Detection (LoD), respectively, 16 and 23 µM. Sensor selectivity and sensitivity are better than those without MIP and can be applied for the determination of the content of acetaminophen in headache medicine, with an accuracy of 96–99% and with Relative Standard Deviation (RSD) 0.9–2.56%.
ISSN:2227-9040
2227-9040
DOI:10.3390/chemosensors7040049