Development of a novel amino-silica packed column for HPLC determination of melamine in infant formula and milk powder samples


Kamil G., Uğur Ş.

JOURNAL OF FOOD COMPOSITION AND ANALYSIS, cilt.147, 2025 (SCI-Expanded, Scopus) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 147
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1016/j.jfca.2025.108068
  • Dergi Adı: JOURNAL OF FOOD COMPOSITION AND ANALYSIS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Analytical Abstracts, BIOSIS, Biotechnology Research Abstracts, CAB Abstracts, Food Science & Technology Abstracts, Veterinary Science Database
  • Anahtar Kelimeler: Melamine, Milk powder, Infant formula, HPLC-DAD, Silica column modificaiton
  • Erciyes Üniversitesi Adresli: Evet

Özet

Melamine (2,4,6-triamino-s-triazine) is a chemical widely used in the production of industrial materials and food products such as milk and baby formula. The widespread contamination of food products revealed by major food safety incidents in the 2000s highlighted the urgent need for reliable and sensitive analytical methods to detect melamine in trace amounts. This study presents the development of a new amino-modified silica column for the separation and quantification of melamine in commercial infant formula and milk powder samples. The synthesized material was characterized using Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), field emission scanning electron microscopy (FE-SEM), energy-dispersive X-ray spectroscopy (EDX), and nuclear magnetic resonance (NMR) spectroscopy techniques. This packing material has been incorporated into a stainless steel column for use in a high-performance liquid chromatography (HPLC) system. The developed HPLC method demonstrated exceptional sensitivity, precision, and reliability, achieving a limit of detection (LOD) of 0.0336 mg/kg, a relative standard deviation (RSD%) of 3.37 %, and recovery values ranging from 91.3 % to 105.3 % for real samples. This study highlights the potential of advanced column packing materials to improve food safety monitoring and provides a robust analytical approach for detecting contaminants such as melamine in complex food matrices.