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Journal : Journal of Technomaterial Physics

Detection and Extraction of Aroma Characteristics of Fuel Oil Using Gas Sensors Through Electronic-Nose System Sihombing, yuan alfinsyah; Herlambang, Muhammad Dennis
Journal of Technomaterial Physics Vol. 4 No. 2 (2022): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v4i2.9440

Abstract

Fuel oil is an indispensable strategic source of energy for the fuel of vehicles and other engines. This study aims to detect and differentiate fuel oil using an electronic-nose system. The fuel oil used is Pertalite, Pertamax, and Pertamax Turbo. Four gas sensors are used, namely MQ 4, MQ 7, MQ 9, and MQ 136. The average output voltage values of Pertalite, Pertamax, and Pertamax Turbo fuel oil for MQ 4 sensors are 1.07 V, 1.22 V, and 0.96 V. For MQ 7 sensors, the output voltage values of the samples are 1.44 V, 1.43 V, and 1.37 V, respectively. For the MQ 9 gas sensor, the sample output voltage values are 1.23 V, 1.43 V, and 1.09 V. As for the MQ 136 gas sensor, the output voltage value of each oil is 1.26 V, 1.25 V, and 0.91 V. Sensors that provide the highest response in each sample are MQ 136 sensors. The electronic-nose system can extract characteristics from all three samples using the principal component analysis (PCA) method.
Reactive Diffusion Model in Determining Dissolution Rate of Edible Electronics Materials Sihombing, Yuan Alfinsyah; Sawitri, Asti; Rodhiyah, Marathur
Journal of Technomaterial Physics Vol. 8 No. 1 (2026): Journal of Technomaterial Physics
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jotp.v8i1.24766

Abstract

Edible electronic materials have emerged as an attractive research with broad potential applications. In the healthcare field, these materials can be utilized for diagnosing, monitoring, and treating organs within the gastrointestinal tract. A key characteristic of these materials is their ability to be digested and dissolved in water or bodily fluids. This study aims to theoretically investigate and predict the dissolution behavior of edible electronic materials using a one-dimensional (1D) reactive diffusion model. This model indicates that the dissolution behavior is governed by two primary parameters: the reaction rate constant (k) and the water diffusivity (D). Materials such as magnesium (Mg), zinc (Zn), and molybdenum (Mo) exhibit average dissolution rates ranging from 2.51 × 10-12 cm s-1 to 3.40 × 10-8 cm s-1 for diffusivity values between 10-17 and 10-10 cm2 s-1. In addition, the ratio of effective thickness to initial thickness (h/h0) increases and is influenced by the molar mass of the material, following the order Mo > Zn > Mg. The dissolution rate modeling results demonstrate that the reactive diffusion model is capable of representing trends that are consistent with experimental observations.