Extraction-driven copper-complex for electrochemical oxidation of PFOA on portable electrodes


Sharma B. P., Soomro R. A., Thapa A., KARAKUŞ S., KÜÇÜKDENİZ T., Ahmed I. A., ...Daha Fazla

MICROCHEMICAL JOURNAL, cilt.218, 2025 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 218
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1016/j.microc.2025.115797
  • Dergi Adı: MICROCHEMICAL JOURNAL
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, Chemical Abstracts Core, Chimica, Index Islamicus
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Evet

Özet

Perfluorooctanoic acid (PFOA), a legacy per- and polyfluoroalkyl substance, resists natural attenuation and is now regulated at single-ppb levels in drinking water. Rapid, field-deployable quantification is, therefore, essential for evidence-based remediation. Here we report a flexible screen-printed sensor that employs a molecular-scale, copper imidazolyl-pyridine complex synthesized in a single room-temperature extraction step. The N-chelated Cu center exhibits a Cu2+/Cu+ redox couple that oxidizes the carboxylate PFOA at -0.42 V, well within the aqueous window. Differential-pulse voltammetry exhibits linearity from 0.05 to 5.20 mu M (LOD = 0.74 mu M), whereas amperometry achieves a detection limit of 24.0 pM with a 3.8 s time constant, meeting the requirements for on-site monitoring. DFT calculations reveal that complexation compresses the frontier orbital gap, aligns the Cu 3d acceptor states with the PFOA carboxylate donor level, and affords a Cu-O coordination energy of approximately -23 kcal & sdot;mol- 1, as determined by QTAIM analysis, which favors rapid yet reversible adsorption. Molecular-dynamics trajectories confirm the stability of a vertically oriented adduct, and an artificial neural network model predicts concentration from raw voltammograms with an R2 value of 0.99 (mean absolute error, MAE, of 0.24), enabling calibration-free readout. By uniting green synthesis, metal-centered catalysis, and data-intelligent signal processing, this work delivers a practical, low-cost platform for high-frequency PFOA surveillance and provides a template for extending molecular Cu electrocatalysts to the broader PFAS family.