Open AccessDesign of Microcontroller-Based Potentiostat for Determination of Ethanol Integrated with Smartphone through Internet of Things
Author(s) -
Igor M. Farhan,
M N Aldy,
J Nabillah,
Feri Adriyanto
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1096/1/012073
Subject(s) - potentiostat , microcontroller , correlation coefficient , resistor , amperometry , ethanol , alcohol , electrical engineering , computer science , analytical chemistry (journal) , chemistry , mathematics , electrode , chromatography , voltage , computer hardware , electrochemistry , statistics , engineering , biochemistry , organic chemistry
Ethanol is the most alcohol used in daily life. Ethanol can be found in drinks, cosmetics, medicines, flavorings, and many more. Each product requires a different concentration of ethanol. Ethanol concentration can be measured using conventional alcohol meter, but requires a large number of samples and mistaken from reading the measurement can occur. This study aims to make a potentiostat based on the microcontroller to determine ethanol concentration that is easy and accurate. Potentiostat consists of several components of resistors, capacitors, operational amplifiers, and Arduino Mega 2560. Measurements were carried out using the electrochemical analysis fixed potential amperometry which the fixed potential was determined by linear sweep voltammetry. Carbon (C) is used on the working electrode and counter electrode which act as the sensor. From the test results obtained a negative relationship between the increasing concentration against current with a correlation coefficient 0.9998. The level of precision and accuracy of the device that has been made shows good results. The level of precision represented by the mean relative standard deviation (MRSD) obtained a result of 95.18%. While the accuracy value represented by the root mean square error (RMSE) results of 97.08%.