Simultaneous detection of thiabendazole and carbendazim in foods based on two-color upconversion and magnetic separation nanoparticles fluorescence immunoassay
Autor: | Minsi Wang, Yang Song, Lingyan Zhao, Wenbo Zhu, Ming Liu, Jingyi Jin |
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Rok vydání: | 2021 |
Předmět: |
Detection limit
Orange juice Analyte Chromatography medicine.diagnostic_test Carbendazim General Chemistry Biochemistry Fluorescence Industrial and Manufacturing Engineering Photon upconversion chemistry.chemical_compound chemistry Immunoassay medicine Magnetic nanoparticles Food Science Biotechnology |
Zdroj: | European Food Research and Technology. 248:85-94 |
ISSN: | 1438-2385 1438-2377 |
DOI: | 10.1007/s00217-021-03853-4 |
Popis: | A rapid and sensitive immunoassay for the simultaneous detection of thiabendazole (TBZ) and carbendazim (CBZ) was developed by using magnetic nanoparticles (MNPs) and two-color upconversion nanoparticles (UCNPs). The anti-thiabendazole and anti-carbendazim antibody were linked to NaYF4:Yb, Tm (emission at 474 nm) and NaYF4:Yb, Er (emission at 542 nm) UCNPs as multicolor signal probe, respectively. The thiabendazole and carbendazim coating antigen were connected to magnetic microspheres as capture probe, respectively. Based on a competitive format, capture probes compete with analytes to combine corresponding signal probes. Under excitation at 980 nm, the formed competitive immune-complex fluorescent signal at 474 and 542 nm indicates the concentration of thiabendazole and carbendazim, respectively. Under the optimal conditions, the 50% inhibiting concentration (IC50) and limit of detection (LOD, IC10) were 2.21 and 0.083 ng/mL for thiabendazole and 1.18 and 0.075 ng/mL for carbendazim, respectively. The average recoveries of thiabendazole and carbendazim in foods, including oyster mushroom, shiitake mushrooms, oranges and orange juice, ranged from 83.6 to 100.9% with the coefficient of variance (CV) of 1.0–9.8% for thiabendazole and ranged from 89.6 to 105.9% with the CV of 2.5 to 9.1% for carbendazim. This multiplexed analysis format has potential applications for rapid, efficient detection of multiple food risk factors. |
Databáze: | OpenAIRE |
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