Rohmah, Triyas Nuning Nuzurur (2025) Deteksi Parasetamol Pada pH 7 Menggunakan Screen-Printed Carbon Electrode (SPCE) Termodifikasi Komposit Nanoselulosa-Polipirol-Graphene Oxide. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Penelitian ini melaporkan pengembangan sensor elektrokimia untuk deteksi parasetamol (PA) menggunakan Screen-Printed Carbon Electrode (SPCE) yang dimodifikasi dengan nanoselulosa-polipirol-graphene oxide (NNC-PPY-GO). NNC-PPY-GO disiapkan melalui dua tahap, yaitu sintesis nanoselulosa dan pembentukan komposit nanoselulosa dengan polipirol dan graphene oxide. Komposit tersebut kemudian digunakan sebagai bahan modifikasi pada permukaan elektroda kerja SPCE. Ukuran partikel nanoselulosa dikonfirmasi melalui analisis Particle Size Analyzer (PSA), dengan hasil ukuran partikel berada pada rentang 280-420 nm. Karakterisasi morfologi permukaan dan distribusi unsur dari elektroda tanpa modifikasi (SPCE/TM) dan termodifikasi (SPCE/NNC-PPY-GO) dilakukan menggunakan Scanning Eelctron Microscopy – Energi Dispersive X-ray Spectroscopy (SEM-EDX). Hasil SEM menunjukkan bahwa permukaan SPCE/TM tampak datar dan tidak memiliki struktur khas, sedangkan SPCE/NNC-PPY-GO menunjukkan morfologi dengan adanya agregat partikel PPY, lembaran tipis GO, dan serat dari NNC. Kinerja elektrokimia dievaluasi menggunakan teknik Cyclic Voltammetry (CV) dalam PBS 0,1 M pH 7. Hasil pengujian menunjukkan bahwa proses redoks PA yang terjadi dikendalikan oleh mekanisme difusi, serta memberikan nilai limit of detection (LOD) sebesar 1,258 μM. Sensor SPCE/NNC-PPY-GO juga menunjukkan kemampuan selektif terhadap PA dengan keberadaan senyawa interferen seperti asam askorbat, asam urat, urea, glukosa, dan kafein. Selain itu, sensor ini menunjukkan kestabilan pengukuran yang baik dengan nilai RSD sebesar 1,112% untuk arus oksidasi dan 2,676% untuk arus reduksi selama 25 kali pengulangan. Hasil ini menunjukkan bahwa elektroda SPCE yang dimodifikasi dengan NNC-PPY-GO dapat menurunkan LOD untuk deteksi elektrokimia PA pada pH 7.
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This study reports the development of an electrochemical sensor for paracetamol detection (PA) using a nanocellulose–polypyrrole–graphene oxide (NNC–PPY–GO) modified Screen-Printed Carbon Electrode (SPCE). The NNC–PPY–GO composite was prepared in two steps: (1) preparation of nanocellulose, and (2) formation of the composite with polypyrrole and graphene oxide. This composite was used to modify the working surface of the SPCE. The particle size of the nanocellulose was determined using a Particle Size Analyzer (PSA), with results ranging from 280 to 420 nm. Surface morphology and elemental distribution of both the unmodified (SPCE/TM) and modified (SPCE/NNC–PPY–GO) electrodes were characterized using Scanning Electron Microscopy–Energy Dispersive X-ray Spectroscopy (SEM–EDX). SEM images showed a flat and featureless surface for the unmodified SPCE, while the modified SPCE exhibited distinct morphological features including PPY particle aggregates, thin GO sheets, and nanocellulose fibers. The electrochemical performance was evaluated by Cyclic Voltammetry (CV) in 0.1 M PBS at pH 7. The redox process of PA was found to be diffusion- controlled, and the sensor achieved a limit of detection (LOD) of 1.258 μM. The SPCE/NNC– PPY–GO sensor also exhibited good selectivity toward PA in the presence of potential interfering substances such as ascorbic acid, uric acid, urea, glucose, and caffeine. Moreover, the sensor demonstrated good measurement stability, with relative standard deviation (RSD) values of 1.112% and 2.676% for oxidation and reduction currents, respectively, over 25 repeated measurements. These findings indicate that the SPCE modified with NNC–PPY–GO effectively lower the LOD of electrochemical detection of PA at pH 7.
Item Type: | Thesis (Other) |
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Uncontrolled Keywords: | Graphene Oxide, Nanoselulosa, Parasetamol, Polipirol, Screen-Printed Carbon Electrode, Graphene Oxide, Nanocellulose, Paracetamol, Polypyrrole, Screen-Printed Carbon Electrode |
Subjects: | Q Science > QD Chemistry > QD115 Electrochemical analysis |
Divisions: | Faculty of Mathematics and Science > Chemistry > 47201-(S1) Undergraduate Thesis |
Depositing User: | Triyas Nuning Nuzurur Rohmah |
Date Deposited: | 05 Aug 2025 12:15 |
Last Modified: | 05 Aug 2025 12:15 |
URI: | http://repository.its.ac.id/id/eprint/127128 |
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