| Literature DB >> 33138019 |
Xiaorong Huang1,2,3,4,5, Xiaoqian Tang1,2,3,4,5, Abdoulie Jallow1,2,3, Xin Qi5, Wen Zhang5, Jun Jiang5, Hui Li2,5, Qi Zhang1,2,3,4,5, Peiwu Li1,2,3,4,5.
Abstract
Ochratoxin A (OTA) is a known food contaminant that affects a wide range of food and agricultural products. The presence of this fungal metabolite in foods poses a threat to human health. Therefore, various detection and quantification methods have been developed to determine its presence in foods. Herein, we describe a rapid and ultrasensitive tracer-based fluorescence polarization immunoassay (FPIA) for the detection of OTA in rice samples. Four fluorescent tracers OTA-fluorescein thiocarbamoyl ethylenediamine (EDF), OTA-fluorescein thiocarbamoyl butane diamine (BDF), OTA-amino-methyl fluorescein (AMF), and OTA-fluorescein thiocarbamoyl hexame (HDF) with fluorescence polarization values (δFP = FPbind-FPfree) of 5, 100, 207, and 80 mP, respectively, were synthesized. The tracer with the highest δFP value (OTA-AMF) was selected and further optimized for the development of an ultrasensitive FPIA with a detection range of 0.03-0.78 ng/mL. A mean recovery of 70.0% to 110.0% was obtained from spiked rice samples with a relative standard deviation of equal to or less than 20%. Good correlations (r2 = 0.9966) were observed between OTA levels in contaminated rice samples obtained by the FPIA method and high-performance liquid chromatography (HPLC) as a reference method. The rapidity of the method was confirmed by analyzing ten rice samples that were analyzed within 25 min, on average. The sensitivity, accuracy, and rapidity of the method show that it is suitable for screening and quantification of OTA in food samples without the cumbersome pre-analytical steps required in other mycotoxin detection methods.Entities:
Keywords: FPIA; HPLC; OTA; detection methods; food safety; monoclonal antibody (mAb); mycotoxin; tracer
Mesh:
Substances:
Year: 2020 PMID: 33138019 PMCID: PMC7693749 DOI: 10.3390/toxins12110682
Source DB: PubMed Journal: Toxins (Basel) ISSN: 2072-6651 Impact factor: 4.546
Figure 1Purification and identification of antibody by SDS-PAGE electrophoretogram.
Figure 2Structural formulas of tracer OTA-AMF, OTA-BDF, OTA-EDF, and OTA-HDF.
Figure 3Mass spectra of (a) OTA-AMF, (b) OTA-BDF, (c) OTA-EDF, and (d) OTA-HDF.
Figure 4The result of four tracers combined with the diluted specific monoclonal antibodies (n = 3).
Figure 5Normalized correction curves of the optimum FPIA implemented with OTA reference solutions with different methanol content (a) and reaction time (b) (n = 3).
Figure 6The standard curve of OTA.
Relative standard deviations and average recoveries of OTA from spiked rice samples obtained by FPIA.
| Assay | Spiking Level (μg/kg) | Recovery (%) | CV (%) |
|---|---|---|---|
| Intra-assay | 0.5 | 110 | 5.6 |
| 5 | 72.5 | 6.2 | |
| 50 | 80.1 | 8.5 | |
| Inter-assay | 0.5 | 113.2 | 6.2 |
| 5 | 76.8 | 8.4 | |
| 50 | 80.4 | 9.8 |
Quantitative determination of OTA in practical samples with FPIA and HPLC methods.
| Ochratoxin A Determined (ng g–1) | ||
|---|---|---|
| Sample No. | FPIA | HPLC |
| 1 | 15.1 ± 0.50 | 14.6 ± 0.31 |
| 2 | 1.5 ± 0.02 | 0.98 ± 0.05 |
| 3 | 2.1 ± 0.03 | 1.9 ± 0.04 |
| 4 | 10.5 ± 0.31 | 8.5 ± 0.28 |
| 5 | 2.6 ± 0.15 | 2.2 ± 0.10 |
| 6 | 5.0 ± 0.13 | 4.5 ± 0.12 |
| 7 | 3.5 ± 0.06 | 3.06 ± 0.03 |
| 8 | 15.0 ± 0.51 | 12.6 ± 0.27 |
| 9 | 10.8 ± 0.62 | 9.1 ± 0.16 |
| 10 | 2.6 ± 0.04 | 2.1 ± 0.06 |
Figure 7Correlation analysis between HPLC method and the developed FPIA assy.
Comparing the sensitivity with other immuno-assay methods.
| Author | Year | Antibody | Experiment Method | Sample | Sensitivity | LOD |
|---|---|---|---|---|---|---|
| This paper | 2020 | mAb | FPIA | rice | 0.09 | 0.02 |
| Becheva [ | 2020 | F(ab’)2 | FIA | milk | a | 0.08 |
| Beloglazova [ | 2020 | mAb | Flow-through Immunoassay | feed | 10 | |
| Wang [ | 2020 | Nb | FIA | food | 0.46 | 0.12 |
| Chen [ | 2019 | mAb | FPIA | yoghurt | 9.32 | 0.82 |
| Zhang [ | 2019 | Nb | ELISA | cereals | 97 | _ |
| Rehmat [ | 2019 | mAb | SPR immunoassay | coffee | 3.8 | |
| Qin [ | 2019 | mAb | ELISA | nutmeg | 0.146 | 0.031 |
| Machado [ | 2018 | mAb | capillary micro- | feed | 40 | |
| Tang [ | 2018 | Nb | one-step immunoassay | cereal | 5 | |
| Soares [ | 2018 | mAb | FIA | 1 | ||
| Sun [ | 2018 | Nb | ELISA | rice | 0.57 | 0.059 |
| Liu [ | 2017 | Nb | ELISA | cereal | 0.64 | |
| Lippolis [ | 2017 | mAb | FPIA | rye | 0.6 | |
| Majdinasab [ | 2015 | mAb | TRFICA | agro-product | 1 | |
| Lippolis [ | 2014 | mAb | FPIA | wheat | 0.48 | 0.8 |
| Li [ | 2013 | mAb | immunochromatographic assay | agro-food | 0.5 | |
| Bondarenko [ | 2012 | mAb | FPIA | grain | 10 | |
| Zezza [ | 2009 | mAb | FPIA | red wine | 0.7 |
a The data were not detected or shown in the paper. mAb: monoclonal antibody. Nb: nanobody. FIA: fluoroimmunoassay. ELISA: enzyme-linked immunosorbent assay. TRFICA: time-resolved fluorescent immunochromatographic assay.