Electrochemical Determination of Nitroguanidine among Other Explosives Using Polymerized 2-Nitrophenol/Reduced Graphene Oxide-Modified Glassy Carbon Electrode


SAĞLAM Ş.

ACS Omega, vol.11, no.9, pp.14760-14773, 2026 (SCI-Expanded, Scopus) identifier identifier

  • Publication Type: Article / Article
  • Volume: 11 Issue: 9
  • Publication Date: 2026
  • Doi Number: 10.1021/acsomega.5c10881
  • Journal Name: ACS Omega
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Chemical Abstracts Core, Directory of Open Access Journals
  • Page Numbers: pp.14760-14773
  • Istanbul University Affiliated: No

Abstract

In this study, a novel sensor working electrode was fabricated by functionalizing a glassy carbon (GC) electrode surface with electrochemically reduced graphene oxide (ERGO) and poly-2-nitrophenol (P2NP, electrochemically polymerized, used as a hydrogen-bonding substrate) using the proposed square-wave voltammetry (SWV) method toward the highly selective and sensitive electrochemical sensing of nitroguanidine (NG), a friction- and impact-insensitive high explosive increasingly used in energetic formulations, even in the presence of other types of energetic materials. NG showed a characteristic reduction peak at approximately −1.27 V. A linear response was obtained between 0.5 and 100 mg L–1 (4.80 × 10–6–9.61 × 10–4 mol L–1), and the limit of detection (LOD) was found as 0.12 mg L–1 (1.15 × 10–6 mol L–1). The developed GC/ERGO/P2NP sensor electrode successfully determines NG in both synthetic and real energetic material mixtures (20-fold) with high recovery rates. The sensor maintained its high selectivity (20 mg L–1 NG) even with the addition of potential soil interferents at a 50-fold excess (10-fold for Fe3+, Pb2+, and Cu2+) including Cl–, SO42–, NO2–, NO3–, NH4+, K+, Na+, Ca2+, and Mg2+, and electroactive camouflage materials (10-fold) such as paracetamol, caffeine, acetylsalicylic acid, aspartame, d-glucose, and detergent. Finally, clay soil samples contaminated with NG were analyzed using the proposed method, and the results were statistically compared with LC–MS using Student’s t-test and F-test, confirming its reliability for real-world environmental monitoring.