An analytical method for the determination of pentachloroaniline and pentachlorobenzene in ginseng tea samples by gas chromatography–mass spectrometry after liquid phase microextraction

ERARPAT BODUR S., Serbest H., BAKIRDERE S.

Food Chemistry, cilt.487, 2025 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 487
  • Basım Tarihi: 2025
  • Doi Numarası: 10.1016/j.foodchem.2025.144790
  • 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: Gas chromatography–mass spectrometry, Ginseng tea, Microextraction, Pentachloroaniline, Pentachlorobenzene
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

This study describes a sensitive and accurate analytical method for the determination of pentachloroaniline (PCA) and pentachlorobenzene (PCB) at trace levels in ginseng tea samples. For this purpose, spraying based fine droplet formation liquid phase microextraction (SFDF-LPME) method was implemented to extract/preconcentrate the target analytes before their separation and detection by gas chromatography–mass spectrometry (GC–MS). Herein, a lab-made spraying system was used to distribute the extraction solvent throughout the aqueous sample solution. Limit of detection/quantitation (LOD/LOQ) values for PCA and PCB were found as 0.24/0.80 and 0.26/0.85 μg/kg, respectively. When LOD values of GC–MS and SFDF-LPME-GC–MS methods were compared to each other, enhancement in detection power values for PCA and PCB were 285 and 226.9 folds, respectively. Percent recovery results for PCA and PCB were calculated as 92–124 % and 86–129 %, respectively. Green evaluation and practicability of developed SFDF-LPME-GC–MS method was done by Eco-scale (89), AGREEprep (0.39) and BAGI (62.5) tools.