Highly selective HKUST-1@SiO2@MnO2 nanorods for rapid dispersive solid phase extraction of paraben preservatives in cosmetics


Shirani M., ÖZALP Ö., Sepahi S., Basij M., Nazifi S. M. R., SOYLAK M.

Microchemical Journal, cilt.229, 2026 (SCI-Expanded, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 229
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1016/j.microc.2026.119397
  • Dergi Adı: Microchemical Journal
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, BIOSIS, Chemical Abstracts Core, Chimica, Index Islamicus, Academic Search Ultimate (EBSCO), Engineering Source (EBSCO)
  • Anahtar Kelimeler: Cosmetics, Dispersive μ-solid phase extraction, Green metrics evaluation, HKUST-1 MOFs, Parabens
  • Erciyes Üniversitesi Adresli: Evet

Özet

In this study, HKUST-1 was functionalized with silicon dioxide (SiO2) and α‑manganese dioxide nanorods (HKUST-1@SiO2@MnO2 NRs), as a novel and high-performance nanostructure adsorbent. To consider the accuracy of the synthetized structure, Fourier-Transform Infrared Spectroscopy, Field Emission Scanning Electron Microscopy, Energy Dispersive X-ray Spectroscopy, and X-Ray diffraction were used. HKUST-1@SiO2@MnO2 NRs was applied for dispersive μ-solid phase extraction (DμSPE) of six commonly used parabens including methyl-, ethyl-, propyl-, butyl-, isobutyl-, benzyl- parabens in cosmetics prior to high performance liquid chromatography with photodiode array detector. The linear ranges of 0.1–500 and 0.1–750 (μg Kg−1) were obtained for lipstick, mascara, face powder, face-hand moisturizing cream, baby shampoo, whitening cream, and hair gel. The limits of detection and limits of quantification values in the range of 0.027–0.033 (μg Kg−1) and 0.09–0.12 (μg Kg−1) were obtained for the target parabens in cosmetics. The intra-day precision (repeatability) and the inter-day precision (reproducibility) (%) were ≤2.2 and ≤2.6, respectively. The applicability of the method was investigated in which the recoveries (%) of 91.6–100.0 were obtained. Moreover, the application of green metrics evaluation tools including BAGI, AGREE, AGREEprep, and CaFRI affirmed the greenness of the proposed method.