Synthesis, Characterization, and Conductivity Evaluation of CuNP-rGO-PANI Nanocomposites for Printed Sensors
Corresponding email: endangwarsiki@apps.ipb.ac.id
Published at : 22 Sep 2025
Volume : IJtech
Vol 16, No 5 (2025)
DOI : https://doi.org/10.14716/ijtech.v16i5.7524
Wisudawaty, P, Warsiki, E, Sugiarto & Djatna, T 2025, ‘Synthesis, characterization, and conductivity evaluation of CuNP-rGO-PANI nanocomposites for printed sensors’, International Journal of Technology, vol. 16, no. 5, pp. 1700-1715
| Priska Wisudawaty | 1. Department of Agroindustrial Technology, Faculty of Agricultural Engineering and Technology, IPB University, Bogor 16680, Indonesia 2. Department of Industrial Engineering, Faculty of Creative Ind |
| Endang Warsiki | Department of Agroindustrial Technology, Faculty of Agricultural Engineering and Technology, IPB University, Bogor 16680, Indonesia |
| Sugiarto | Department of Agroindustrial Technology, Faculty of Agricultural Engineering and Technology, IPB University, Bogor 16680, Indonesia |
| Taufik Djatna | Department of Agroindustrial Technology, Faculty of Agricultural Engineering and Technology, IPB University, Bogor 16680, Indonesia |
Nanocomposites composed of copper nanoparticles (CuNP), reduced graphene oxide (rGO), and polyaniline (PANI) have garnered considerable attention owing to their actantial as conductive materials for printed sensor applications. This study aims to synthesize CuNP-rGO-PANI nanocomposites through a chemical reduction method and examine their structural, morphological, and electrical properties. The synthesis process involves reducing graphene oxide (GO) using sodium borohydride (NaBH?), followed by the incorporation of CuNP and PANI through in situ polymerization. The synthesized nanocomposites were characterized using Fourier-transform infrared (FTIR) spectroscopy, Raman spectroscopy, and scanning electron microscopy (SEM) to verify their chemical composition and morphological structure. Additionally, the electrical conductivity of the CuNP-rGO-PANI nanocomposites was evaluated to determine their feasibility for use in printed sensors. Raman spectroscopy results reveal that the incorporation of Cu nanoparticles increases the ID/IG ratio, indicating a rise in structural defects within rGO. SEM analysis determined that the average particle size of the CuNP-rGO-PANI nanocomposite is approximately 11.48 nm. FTIR characterization further demonstrates that the addition of CuNPs alters the oxidation state of both PANI and reduced graphene oxide. Among the tested substrates, polyethylene terephthalate (PET) exhibited the highest conductivity of 1.486 S/cm, which is attributed to an optimal coating thickness and uniform particle distribution.
Conductive inks; Copper nanocomposite; CuNP-rGO-PANI; Graphene; Sensors
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