Fluorescence immunoassay for multiplex detection of organophosphate pesticides in agro-products based on signal amplification of gold nanoparticles and oligonucleotides

Zhang C., Jiang Z., Jin M., Du P., Chen G., Cui X., ...Daha Fazla

Food Chemistry, cilt.326, 2020 (SCI-Expanded) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 326
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1016/j.foodchem.2020.126813
  • 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, Chimica, Communication Abstracts, Compendex, EMBASE, Food Science & Technology Abstracts, MEDLINE, Metadex, Veterinary Science Database, Civil Engineering Abstracts
  • Anahtar Kelimeler: Fluorescence immunoassay, Organophosphate pesticides, Oligonucleotide, Gold nanoparticle, LINKED-IMMUNOSORBENT-ASSAY, ULTRASENSITIVE DETECTION, BIO-BARCODE, NONCOMPETITIVE IMMUNOASSAY, FOOD, TRIAZOPHOS, DNA, NANOMATERIALS, PARATHION, RESIDUES
  • Atatürk Üniversitesi Adresli: Evet

Özet

© 2020 Elsevier LtdHerein, we developed a multi-analyte fluorescence immunoassay for detection of three organophosphate pesticides (triazophos, parathion, and chlorpyrifos) in various agro-products (rice, wheat, cucumber, cabbage, and apple) using fluorescently labeled oligonucleotide and gold nanoparticle (AuNP) signal amplification technology. The AuNP probes for the three analytes were constructed by simultaneously modifying the corresponding antibodies and fluorescently labeled oligonucleotides on the probe surface. Three fluorophores (6-FAM, Cy3, and Texas red) with high fluorescence intensity and little overlap of excitation/emission wavelengths were selected. The method showed satisfactory linearity for triazophos, parathion, and chlorpyrifos in the ranges of 0.01–20, 0.05–50, and 0.5–1000 μg/L, respectively. For the 3 analytes, the limits of detection (LODs) were 0.007, 0.009, and 0.087 μg/L, respectively. The average recoveries were 77.7–113.6%, with relative standard deviations (RSDs) of 7.1–17.1% in various food matrices. The proposed method offers great potential in food safety surveillance, and could be used as well as a reference for multi-residue analysis of other small-molecule contaminants.