Pengembangan Sensor Gas Karbon Monoksida (CO) Berbasis Nanofiber PVA(rGO), PVA(TiO2) dan Interdigital Electrode

Aqsa, Muhammad Fatahillah (2023) Pengembangan Sensor Gas Karbon Monoksida (CO) Berbasis Nanofiber PVA(rGO), PVA(TiO2) dan Interdigital Electrode. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Sensor gas adalah jenis perangkat yang mendeteksi keberadaan gas di suatu tempat. Jenis gas yang dideteksi terutama gas yang berbahaya bagi makhluk hidup seperti gas CO. Penelitian ini bertujuan untuk meneliti pemanfaatan bahan rGO sebagai pendeteksi gas CO serta meneliti tingkat sensitivitas sensor berbasis nanofiber. Konsentrasi PVA yakni 15%wt dengan penambahan variasi konsentrasi rGO yakni 0.1%, 0.3%, dan 0.5%wt. Proses pembuatan larutan dilakukan dengan melarutkan PVA ke dalam aquades dengan suhu diatur pada 80oC sambil dilakukan pengadukan, kemudian ditambahkan rGO dan diaduk kembali. Setelah itu dilakukan sonifikasi dan Autoclave pada larutan. Selanjutnya larutan tersebut dimasukkan ke dalam spuit pada alat electrospinning. Parameter yang digunakan pada proses pembuatan nanofiber pada penelitian ini adalah tegangan tinggi sebesar 15kV, jarak jarum dengan kolektor 15cm, dan flowrate 5µl/jam. Karakterisasi sampel dilakukan dengan pengujian SEM, XRD, dan RLC meter. Sensor gas IDE diatur dengan Arduino agar menunjukkan nilai saat terkena paparan gas. Sensor gas MQ-7 menunjukkan nilai ppm yang ada dalam chamber. Penambahan material rGO serta material TiO2 berhasil meningkatkan konduktivitas dari nanofiber PVA. Sensor IDE tanpa pelapisan nanofiber tidak dapat memberikan respon saat gas CO diberikan. Sensor gas IDE nanofiber berbahan campuran PVA dan rGO / TiO2 dibuat dengan mendeposisi nanofiber tersebut ke atas IDE dan berhasil mendeteksi keberadaan gas, dengan sensitivitas senilai 1,389 (R_a/R_g ) untuk PVA-rGO 0.1%, 1,434 (R_a/R_g ) untuk PVA-rGO 0.3%, dan 1,441 (R_a/R_g ) untuk PVA-rGO 0.5%. Sensor PVA-TiO2 memiliki nilai sensitivitas senilai 1,485 (R_a/R_g ).
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Gas sensor is a type of device that detects the presence of gas. The types of gases detected are especially gases that are harmful to living things such as CO gas. This study aims to examine the use of rGO materials as CO gas detectors and examine the sensitivity level of nanofiber-based sensors. The PVA concentration was 15% wt with the addition of variations in rGO concentrations namely 0.1%, 0.3% and 0.5% wt. The process of making the solution was carried out by dissolving PVA in distilled water with the temperature set at 80oC while stirring was carried out. Then added rGO and stirred again. After that, the solution was sonified and autoclaved. Then the solution is put into the syringe on the electrospinning device. The parameters used in the nanofiber manufacturing process in this study were high voltage of 15kV, 15cm distance between the needle and collector, and a flow rate of 5μl/hour. Sample characterization was carried out by SEM, XRD, and RLC meter testing. The IDE gas sensor is set with Arduino to show the value when exposed to gas. The MQ-7 gas sensor shows the ppm value in the chamber. The addition of rGO materials and TiO2 materials succeeded in increasing the conductivity of PVA nanofibers. IDE sensors without nanofiber coating cannot respond when CO gas is applied. The nanofiber IDE gas sensor made from a mixture of PVA and rGO / TiO2 was made by depositing the nanofiber onto the IDE and managed to detect the presence of gas, with a sensitivity of 1.389 (RaRg) for 0.1% PVA-rGO, 1.434 (RaRg) for 0.3% PVA-rGO, and 1.441 (RaRg) for 0.5 PVA-rGO %. The PVA-TiO2 sensor has a sensitivity value of 1.485 (RaRg).

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Elektrospinning, Nanofiber, reduced Graphene Oxide, Sensor gas, Electrospinning, Gas sensor.
Subjects:	Q Science > QC Physics > QC100.5 Measuring instruments (General) Q Science > QC Physics > QC173.4.C63 Composite materials
Divisions:	Faculty of Science and Data Analytics (SCIENTICS) > Physics > 45201-(S1) Undergraduate Thesis
Depositing User:	M. Fatahillah Aqsa
Date Deposited:	09 Aug 2023 07:33
Last Modified:	09 Aug 2023 07:33
URI:	http://repository.its.ac.id/id/eprint/103358

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