Systematic Investigation of L-Ascorbic Acid-Assisted Reduction Conditions for Graphene Oxide-Coated Textiles: Effects on Electrical and Morphological Properties
Fibers and Polymers, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Basım Tarihi: 2026
- Doi Numarası: 10.1007/s12221-026-01595-2
- Dergi Adı: Fibers and Polymers
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC, Materials Science & Engineering Collection (ProQuest), Technology Collection (ProQuest)
- Anahtar Kelimeler: Chemical Reduction, Conductive Textiles, Graphene Oxide, L-Ascorbic Acid, Process Optimization
- Süleyman Demirel Üniversitesi Adresli: Evet
Özet
Abstract: This study systematically investigates the effects of temperature, duration, and concentration parameters on the electrical and morphological properties of graphene oxide (GO)-coated textiles during reduction via L-ascorbic acid (L-AA). The reduction processes, conducted under open-system atmospheric (60 °C and 95 °C) and closed-system hydrothermal-type (100 °C) conditions, are characterized through chemical, structural, and electrical analyses. The results reveal that conductivity optimization relies on a delicate balance between the deoxygenation of GO, which concurrently restores the conductive sp2 carbon network, and a re-oxidation reaction induced by the thermal degradation products of L-AA. The closed-system (hydrothermal-type) method is kinetically more efficient than the open-system atmospheric method, achieving lower surface resistances. The highest conductivity is obtained after a 12 h closed-system treatment at 100 °C with 50 mM L-AA, resulting in a surface resistance of 4.49 kΩ/cm. However, it is observed that in both methods, excessively high L-AA concentrations and prolonged reaction times trigger the re-oxidation mechanism, thereby degrading electrical performance. These findings demonstrate that achieving maximum performance in functional textiles is possible through a multivariate optimization that establishes an optimal balance between competing chemical processes.