PEG-assisted NiO nanostructure films: Comparative analysis of electrochemical and microwave methods for non-enzymatic glucose sensing
- Authors
- Lee, Byungjik; Rahman, Md. Mahbubur; Asiam, Francis Kwaku; Manikandan, Palinci Nagarajan; Kaliamurthy, Ashok Kumar; Paramaguru, Vishwa; Arivuthilagam, Ilakeya Subbiah; Chen, Cheng; Shahid, Raghisa; Kim, Kwang Pyo; Lee, Jae-Joon
- Issue Date
- Jun-2025
- Publisher
- Elsevier Ltd
- Keywords
- Electrochemical biosensor; Nickel oxide; Non-enzymatic; Sensitivity; Surfactant
- Citation
- Materials Today Communications, v.46, pp 1 - 9
- Pages
- 9
- Indexed
- SCIE
SCOPUS
- Journal Title
- Materials Today Communications
- Volume
- 46
- Start Page
- 1
- End Page
- 9
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/58227
- DOI
- 10.1016/j.mtcomm.2025.112480
- ISSN
- 2352-4928
2352-4928
- Abstract
- This study explores the fabrication of NiO nanostructure films for non-enzymatic glucose sensing using electrochemical (EC) and microwave-assisted (MW) methods, with polyethylene glycol (PEG) as a key morphological modifier. PEG incorporation significantly enhances the uniformity and porosity of PEG assisted NiO (pNiO) films, improving glucose sensing performance in both fabrication techniques. Notably, EC-prepared electrodes (EC-pNiO) are fabricated under acidic conditions, while MW-prepared electrodes (MW-pNiO) require basic conditions. This distinction affects both film morphology and sensor performance, with EC-pNiO exhibiting superior sensitivity (983 μA/mM cm2) and a lower detection limit (6 × 10−3 µM) due to more controlled growth and film uniformity. However, MW-pNiO benefits from compatibility with basic conditions, aligning with the optimal operational pH for metal oxide-based sensors. Real-sample analysis further demonstrates the practicality of the optimized EC-pNiO electrode for glucose detection in human serum. This work underscores the critical influence of preparation conditions and PEG on electrode morphology and performance, establishing electrochemical methods as a versatile and efficient approach for tailored sensor fabrication. © 2025
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Collections - College of Engineering > Department of Energy and Materials Engineering > 1. Journal Articles

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