Identifikasi Gelatin Ikan dan Babi Dengan Metode Localized Surface Plasmon Resonance (LSPR) Berbasis Serat Optik: Mode Transmisi

Santika, Priana Walifathul (2024) Identifikasi Gelatin Ikan dan Babi Dengan Metode Localized Surface Plasmon Resonance (LSPR) Berbasis Serat Optik: Mode Transmisi. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Gelatin adalah protein larut air yang diperoleh melalui hidrolisis, ekstraksi panas, sterilisasi, dan pengeringan, mengandung asam amino seperti glisin, prolin, dan hidroksiprolin, yang digunakan dalam industri pangan, farmasi, dan kosmetik. Sumber utama gelatin adalah kulit dan tulang babi, namun diperlukan sumber alternatif seperti unggas dan ikan karena alasan kesehatan, agama, dan keberlanjutan. Impor gelatin meningkat dari 3.960,51 ton pada 2017 menjadi 5.562,35 ton pada 2021, sebagian besar dari babi. Identifikasi sumber gelatin dengan teknik seperti FTIR dan QCM tidak menunjukkan perbedaan identifikasi yang signifikan. Penelitian terbaru menggunakan biosensor Localized Surface Plasmon Resonance (LSPR) berbasis serat optik menunjukkan potensi mendeteksi gelatin ikan dan babi secara efisien, dengan keunggulan dalam fleksibilitas, ketahanan, dan respons real-time. Penelitian ini mengidentifikasi gelatin ikan dan babi menggunakan LSPR berbasis serat optik multi mode dengan nanopartikel emas (AuNPs). Pengukuran indeks bias larutan gelatin dilakukan dengan abbe refraktometer. Serat optik dengan struktur transmisi "O" bend dilapisi AuNPs menggunakan larutan APTES. Pengujian menunjukkan AuNPs menempel pada serat optik dalam 1 jam 11 menit pada suhu ruang, dengan panjang gelombang resonansi stabil pada 539 nm. Hasil menunjukkan pergeseran panjang gelombang resonansi dipengaruhi oleh indeks bias larutan gelatin. Evaluasi sensor menunjukkan sensitivitas (S) dan Detection Accuracy (DA) meningkat dengan bending serat optik dengan nilai S di 1485 nm/RIU pada gelatin ikan di bend 6 cm dan 1180 nm/RIU pada gelatin babi di bend 8 cm, penelitian ini menunjukkan struktur dan kondisi bending serat optik mempengaruhi respons resonansi optik, penting untuk pengembangan sensor optik yang lebih efektif dan akurat dalam mendeteksi jenis gelatin.
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Gelatin is a water-soluble protein obtained through hydrolysis, thermal extraction, sterilization, and drying processes. It contains amino acids such as glycine, proline, and hydroxyproline, and is used in the food, pharmaceutical, and cosmetic industries. The primary source of gelatin is pigskin and bones; however, alternative sources like poultry and fish are required due to health, religious, and sustainability considerations. Gelatin imports increased from 3,960.51 tons in 2017 to 5,562.35 tons in 2021, with most coming from pigs. Techniques such as FTIR and QCM for gelatin source identification have not shown significant differences in identification. Recent research using Localized Surface Plasmon Resonance (LSPR) biosensors based on optical fibers demonstrates the potential for efficient detection of fish and pig gelatin, with advantages in flexibility, durability, and real-time response. This study identifies fish and pig gelatin using a multi-mode fiber optic LSPR sensor with gold nanoparticles (AuNPs). The refractive index of gelatin solutions was measured with an Abbe refractometer. Optical fibers with an "O" bend transmission structure were coated with AuNPs using an APTES solution. Testing showed that AuNPs adhered to the optical fibers within 1 hour and 11 minutes at room temperature, with a stable resonance wavelength of 539 nm. Results indicated that the resonance wavelength shift is influenced by the refractive index of the gelatin solution. Sensor evaluation demonstrated that sensitivity (S) and Detection Accuracy (DA) increased with optical fiber bending, with S values of 1485 nm/RIU for fish gelatin at a 6 cm bend and 1180 nm/RIU for pig gelatin at an 8 cm bend. This research indicates that the structure and bending conditions of optical fibers affect optical resonance response, which is crucial for the development of more effective and accurate optical sensors for gelatin type detection.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Gelatin, Localized Surface Plasmon Resonance (LSPR), serat optik, nanopartikel emas, identifikasi, APTES, Gelatine, fiber optics, gold nanoparticles, identification
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1573 Detectors. Sensors T Technology > TA Engineering (General). Civil engineering (General) > TA1800 Fiber Optics T Technology > TA Engineering (General). Civil engineering (General) > TA491 Metal coating.
Divisions:	Faculty of Industrial Technology and Systems Engineering (INDSYS) > Physics Engineering > 30201-(S1) Undergraduate Thesis
Depositing User:	Priana Walifathul Santika
Date Deposited:	04 Sep 2024 01:30
Last Modified:	04 Sep 2024 01:30
URI:	http://repository.its.ac.id/id/eprint/109461

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