Hibatullah, Ega Jismi (2026) Sensor Elektrokimia Berbasis Komposit Karbon Aktif/Nanopartikel Emas (AC/AuNPs) untuk Deteksi Senyawa Asam Klorogenat dan Rutin dalam Bunga Rosella. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Monitoring pangan khususnya pada bunga rosella yang kaya akan senyawa fenolik dan flavonoid, seperti CGA dan rutin yang memiliki aktivitas biologis tinggi membutuhkan pengembangan metode inovatif, efektif, cepat, selektif, dan sensitif. Oleh karena itu, penelitian ini memberikan solusi dengan memperkenalkan sensor elektrokimia berbasis elektroda termodifikasi AC/AuNPs untuk mendeteksi senyawa CGA dan rutin secara sensitif dan selektif. Material karbon berasal dari biomassa residu kering bunga rosella, yang mengalami serangkaian aktivasi secara kimia dengan larutan KOH. Sintesis hijau diaplikasikan untuk memproduksi material AuNPs dengan ekstrak bunga rosella sebagai reduktor. Kemudian, kedua material dikompositkan secara fisik menjadi material komposit AC/AuNPs. Hasil karakterisasi menunjukkan bahwa komposit AC/AuNPs berhasil disintesis dan AuNPs terdeposisi dengan baik pada permukaan karbon aktif. Serangkaian pengujian untuk elektroda GCE termodifikasi AC/AuNPs meberikan performa dalan peningkatan luas permukaan aktif dan kemampuan berdifusi yang cukup efektif. Pada AC/AuNPs (AC = 10 mg), pengujian linearitas dilakukan pada senyawa target, yaitu CGA dan rutin. Nilai LoD dan LoQ juga dievaluasi pada penelitian ini dengan perolehan untuk CGA: LoD = 3,123 µM dan LoQ = 10,410 µM. Sementara untuk rutin: LoD = 2,802 µM dan LoQ = 9,339 µM. Parameter selektivitas menunjukkan performa yang kurang baik terhadap senyawa pengganggu dan nilai akurasi pada uji % recovery sampel nyata bunga rosella menghasilkan nilai di rentang 65 – 123%. Dengan demikian, sensor elektrokimia berbasis komposit AC/AuNPs berpotensi untuk diaplikasikan untuk deteksi kandungan CGA dan rutin pada bahan bangan, khususnya bunga rosella.
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Food monitoring, particularly in roselle flowers, which are rich in phenolic and flavonoid compounds such as chlorogenic acid (CGA) and rutin with high biological activity, requires the development of innovative, effective, rapid, selective, and sensitive methods. Therefore, this study offers a solution by introducing an electrochemical sensor based on an AC/AuNPs-modified electrode for the sensitive and selective detection of CGA and rutin. The carbon material was derived from dried roselle flower biomass residue, which underwent a series of chemical activation processes using a KOH solution. Green synthesis was applied to produce AuNPs using roselle flower extract as a reducing agent. Subsequently, both materials were physically combined to form an AC/AuNPs composite. The characterization results demonstrated that the AC/AuNPs composite was successfully synthesized and that the AuNPs were well deposited on the surface of the activated carbon. A series of tests on the AC/AuNPs-modified GCE exhibited improved active surface area and sufficiently effective diffusion capability. For AC/AuNPs (AC = 10 mg), linearity tests were performed on the target analytes, namely CGA and rutin. The LoD and LoQ values were also evaluated in this study, with the following results for CGA: LoD = 3,123 µM dan LoQ = 10,410 µM. Meanwhile, for rutin: LoD = 2,802 µM dan LoQ = 9,339 µM, respectively. The selectivity parameters indicated relatively poor performance toward interfering compounds, and the accuracy values obtained from the % recovery test of real roselle flower samples ranged from 65 to 123%. Thus, the electrochemical sensor based on the AC/AuNPs composite shows potential for application in the detection of CGA and rutin contents in food materials, particularly roselle flowers.
| Item Type: | Thesis (Other) |
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| Uncontrolled Keywords: | Asam Klorogenat, Karbon Aktif, Nanopartikel Emas, Rutin, Sensor Elektrokimia Activated Karbon, Chlorogenic Acid, Gold Nanoparticles, Rutin, Sensor Electrochemical |
| Subjects: | Q Science > QD Chemistry > QD115 Electrochemical analysis |
| Divisions: | Faculty of Science and Data Analytics (SCIENTICS) > Chemistry > 47201-(S1) Undergraduate Thesis |
| Depositing User: | Ega Jismi Hibatullah |
| Date Deposited: | 04 Feb 2026 01:20 |
| Last Modified: | 04 Feb 2026 01:20 |
| URI: | http://repository.its.ac.id/id/eprint/131967 |
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