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Development of Polypyrrole/Graphene Oxide Gas Sensor for Detection of Coffee Aroma Muflihah, Yeni Maulidah; Ardyanti, Zona Salsabila; Zein, Inayatul Aulia Rizka; Zulfikar, Zulfikar; Siswoyo, Siswoyo; Asnawati, Asnawati; Mulyono, Tri
EduChemia: Jurnal Kimia dan Pendidikan Vol 8, No 1 (2023)
Publisher : Department of Chemical Education Faculty of Teacher Training and Education Universitas Su

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30870/educhemia.v8i1.18231

Abstract

Detecting and characterizing coffee aroma is crucial for determining the quality of coffee. While gas chromatography is the standard method, using gas sensors is a feasible alternative. The electrode material used extensively influences the response produced by the gas sensor. This study explores using composites of the conductive polymer polypyrrole (PPy) and graphene oxide (GO) as materials for gas sensor electrodes. In the study, we synthesized PPy and GO and characterized them using UV-Vis and FTIR spectrophotometry, confirming that the compounds obtained were PPy and GO. The researchers varied the composition and thickness of PPy/GO in electrode fabrication. Varying the percentage of GO in the composite by 0, 5, 10, and 15% GO resulted in different PPy/GO compositions, while electrode thicknesses observed were 0.083, 0.21, 0.39, and 60 mm. Electrode characterization, including sensitivity, conductivity, and response time, showed that the PPy/GO electrode with a composition of 15% GO and a thickness of 0.21 mm had the best response. The PPy/GO sensor was tested on the aroma of Robusta coffee from three different plantations in the Jember area, East Java. It was able to distinguish the aroma of coffee. Measurement of electrode reproducibility in measuring each sample for one month showed consistent results from week to week, with a %RSD of less than 5%. The research results demonstrate that the PPy/GO sensor with a GO composition of 15% and a thickness of 0.21 mm has excellent potential for differentiating the aroma of coffee with different compositions of constituent compounds.
Development of Arduino Uno Based Multispectra Colorimeter For Formaldehyde Determination Anida, Choirun Nisa; Zulfikar, Zulfikar; Siswoyo, Siswoyo; Asnawati, Asnawati; Reza, Muhammad
Indonesian Chimica Letters Vol. 4 No. 1 (2025)
Publisher : Department of Chemistry, Faculty of Mathematics and Natural Sciences, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/icl.v4i1.5693

Abstract

Formalin is a hazardous substance that is often misused as a food preservative, so routine formalin analysis is very necessary for public safety. Formalin analysis generally uses spectrophotometry and also a simple colorimeter. Currently, many Arduino-based colorimeters are being studied and development with RGB (Red, Green, Blue) LED (Light Emitting Diode) light sources. This research is also in this field with a focus on the use of multi-spectral RGB LED lights with 16 colors that are already commercially available. The multispectral colorimeter is designed by integrating an LED light source, a photodiode module as a detector, and controlled by an Arduino Uno R3. The LED light module circuit, cuvette and detector photodiode are then arranged and packaged in an X8 project box. Optimization of the circuit is studied including the distance between the LED lamp and the cuvette and the photodiode with the cuvette. A feasibility study of the use of multispectral RGB LEDs is also carried out by looking at the stability of the response of each color. The performance test of the multispectral colorimeter is carried out by analyzing formaldehyde oxidized with hydrogen peroxide using methyl red as an indicator under the alkaline condition. The results showed no significant difference when viewed from the linearity, Limit of Detection, Limit of Quantitation, sensitivity, and precision values calculated from the calibration curve. The difference in linearity values was 0.0013, Limit of Detection = 0.17, Limit of Quantitation = 0.57, sensitivity = 0.0001, and precision (SD = 0.001 and %RSD = 0.11).