Biosensor Berbasis Colorimetric Logic Gate (Gerbang Logika Kolorimetri) untuk Deteksi Kandungan Minyak Babi (Autentikasi Halal)

Islam, Muhammad Nuril (2025) Biosensor Berbasis Colorimetric Logic Gate (Gerbang Logika Kolorimetri) untuk Deteksi Kandungan Minyak Babi (Autentikasi Halal). Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Kebutuhan terhadap produk halal yang terus meningkat di Indonesia membutuhkan sistem deteksi minyak babi (autentikasi halal) yang cepat dan akurat. Penelitian ini menggunakan sistem deteksi berbasis colorimetric logic gate dengan empat jenis sensor reagen katalis, yaitu MR-Ag, CR-Au, BCG-Ag, dan KI-Pt untuk mendeteksi minyak babi dalam campuran air dan minyak. Ketiga jenis katalis nanopartikel logam disintesis dengan metode reduksi kimia dan hidrotermal, lalu dikarakteriasai dengan metode spektroskopi UV-Vis dan FTIR. Optimisasi formula reagen-katalis dilakukan berdasarkan time constant tercepat reaksi kolorimetri reagen dan minyak, serta intensitas RGB dari perubahan warna paling maksimal. Formula optimal reagen MR 6,7 mg/mL dengan katalis 0,00320 wt% nanopartikel Ag, CR 4,4 mg/mL dengan katalis 0,00024 wt% nanopartikel Au, BCG 0,67 mg/mL dengan katalis 0,00320 wt% nanopartikel Ag, dan KI 0,33 mg/mL dengan katalis 0,03846 wt% nanopartikel Pt. Colorimetric logic gate dirancang dengan empat gerbang logika OR yang masing-masing memiliki enam input dari perubahan warna yang dihasilkan setiap sensor reagen-katalis. Output sensor MR-Ag, CR-Au, dan KI-Pt diintegrasikan dengan satu gerbang logika OR. Output gerbang logika ini kemudian diintegrasikan dengan output sensor BCG-Ag di satu gerbang logika AND yang menghasilkan single output yang menyatakan ada atau tidaknya kandungan minyak babi. Keempat sensor reagen-katalis memiliki sensitivitas relatif rendah tetapi linieritas cukup tinggi, serta LOD dan LOQ yang rendah. Berdasarkan uji validasi dengan berbagai produk olahan mengandung babi, sistem colorimetric logic gate mampu mendeteksi minyak babi secara selektif dan aplikatif.
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The growing demand for halal products in Indonesia necessitates a rapid and accurate detection system for pork oil (halal authentication). This study employs a colorimetric logic gate-based detection system utilizing four types of reagent-catalyst sensors, MR-Ag, CR-Au, BCG-Ag, and KI-Pt for the identification of pork oil mixture in water and oil. Three types of metal nanoparticle catalysts were synthesized via chemical reduction and hydrothermal methods, and subsequently characterized using UV-Vis and FTIR spectroscopy. Reagent and catalyst formulations were optimized based on the fastest colorimetric reaction time constant, as well as the maximum RGB color intensity change. The optimal MR reagent formulations were, MR at 6.7 mg/mL with 0.00320 wt% Ag nanoparticles, CR at 4.4 mg/mL with 0.00024 wt% Au nanoparticles, BCG at 0.67 mg/mL with 0.00320 wt% Ag nanoparticles, and KI at 0.33 mg/mL with 0.03846 wt% Pt nanoparticles. The colorimetric logic gate was designed with four OR logic gates, each receiving six inputs corresponding to the color change outputs from the reagent-catalyst sensors. The outputs from MR-Ag, CR-Au, and KI-Pt were integrated into a single OR gate, whose output was then combined with the BCG-Ag output through an AND logic gate to generate a single final output indicating the presence or absence of pork oil. All four reagent-catalyst sensors demonstrated relatively low sensitivity but high linearity, as well as low limits of detection (LOD) and quantification (LOQ). Validation tests using various processed products containing animal and plant-based oils confirmed that the colorimetric logic gate system was capable of selectively and practically detecting pork oil.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Autentikasi Halal, Biosensor, Colorimetric Logic Gate, Minyak Babi Biosensor, Colorimetric Logic Gate, Halal Authentication, Pork Oil
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1573 Detectors. Sensors
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Muhammad Nuril Islam
Date Deposited:	14 Jul 2025 06:35
Last Modified:	14 Jul 2025 06:35
URI:	http://repository.its.ac.id/id/eprint/119677

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