Dispersive solid-phase microextraction of Cd(II) using CaFe layer double hydroxide with g-C₃N₄ nanocomposite from food and environmental samples


Arain M. B., Niaz A., SOYLAK M.

Food Chemistry, cilt.476, 2025 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 476
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1016/j.foodchem.2025.143410
  • Dergi Adı: Food Chemistry
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), BIOSIS, CAB Abstracts, Chemical Abstracts Core, Chimica, Communication Abstracts, Compendex, EMBASE, Food Science & Technology Abstracts, Metadex, Veterinary Science Database, Civil Engineering Abstracts
  • Anahtar Kelimeler: Adsorbent, CaFe-LDH, Cd(II), DSPME, FAAS, G-C3N4, Nanocomposite, Spices samples, Water
  • Erciyes Üniversitesi Adresli: Evet

Özet

A green and novel composite material integrating graphitic carbon nitride (g-C₃N₄) with layer double hydroxide CaFe-LDH has been developed for detecting Cd(II) ions in food and environmental samples using dispersive solid-phase microextraction (DSPME) method by flame atomic absorption spectroscopy. CaFe-LDH@g-C₃N₄ was synthesized via hydrothermal co-precipitation. The nanocomposite was characterized using various analytical techniques including FTIR, FESEM, XRD and EDX. Optimal conditions were set as pH 8, 15 mg adsorbent, 60 s adsorption time, 30 s desorption time, sample volume 25 mL and eluent volume 2 mL using 0.5 M HNO₃. The method shows low limit of detection (0.04 μg/L), limit of quantification (0.13 μg/L), and preconcentration and enrichment factor 12.5 and 12.32, respectively. It asserts high precision with a relative standard deviation under 10 % and an extraction efficiency of 101.4 %. The accuracy was validated using certified reference materials (CRMs), demonstrating the composite material effectiveness in quantifying Cd(II) concentrations across different matrices.