| Literature DB >> 27924952 |
Pengfei Du1, Maojun Jin1, Ge Chen1, Chan Zhang1, Zejun Jiang1, Yanxin Zhang1, Pan Zou1, Yongxin She1, Fen Jin1, Hua Shao1, Shanshan Wang1, Lufei Zheng1, Jing Wang1.
Abstract
A novel detection method of small molecules, competitive bio-barcode amplification immunoassay, was developed and described in this report. Through the gold nanoparticles (AuNPs) probe and magnetic nanoparticles (MNPs) probe we prepared, only one monoclonal antibody can be used to detect small molecules. The competitive bio-barcode amplification immunoassay overcomes the obstacle that the bio-barcode assay cannot be used in small molecular detection, as two antibodies are unable to combine to one small molecule due to its small molecular structure. The small molecular compounds, triazophos, were selected as targets for the competitive bio-barcode amplification immunoassay. The linear range of detection was from 0.04 ng mL-1 to 10 ng mL-1, and the limit of detection (LOD) was 0.02 ng mL-1, which was 10-20 folds lower than ELISA (Enzyme Linked Immunosorbent Assay). A practical application of the proposed immunoassay was evaluated by detecting triazophos in real samples. The recovery rate ranged from 72.5% to 110.5%, and the RSD was less than 20%. These results were validated by GC-MS, which indicated that this convenient and sensitive method has great potential for small molecular in real samples.Entities:
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Year: 2016 PMID: 27924952 PMCID: PMC5141433 DOI: 10.1038/srep38114
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1(A) Schematic illustration of the competitive bio-barcode amplification immunoassay based on nanoparticles. (B) The measurement process of the competitive bio-barcode amplification immunoassay.
Figure 2(A) UV/Vis spectra of the dispersion of the AuNPs probe and AuNPs solution. (B) TEM images of bare AuNPs. (C) AuNPs probes. (D) Zeta potentials (a) bare AuNPs, (b) AuNPs with the antibody complex, (c) AuNPs with the antibody-capture DNA complex, and (d) AuNPs with the antibody-capture DNA-barcode DNA complex.
Chessboard titration of the optimal concentration of hapten and antibody.
| The concentration of hapten (mg L−1) | The concentration of antibody (mg L−1) | |||||
|---|---|---|---|---|---|---|
| 3.02 | 1.51 | 0.76 | 0.38 | 0.30 | Negative control | |
| 3.21 | 17.75 ± 0.11 | 17.69 ± 0.13 | 18.06 ± 0.12 | 18.99 ± 0.13 | 19.52 ± 0.09 | 26.12 ± 0.07 |
| 1.60 | 17.65 ± 0.13 | 17.93 ± 0.08 | 18.31 ± 0.14 | 18.20 ± 0.12 | 19.48 ± 0.07 | 25.00 ± 0.10 |
| 0.80 | 17.74 ± 0.11 | 17.51 ± 0.09 | 18.49 ± 0.12 | 18.45 ± 0.13 | 19.71 ± 0.13 | 26.04 ± 0.08 |
| 0.64 | 17.99 ± 0.09 | 17.84 ± 0.10 | 18.29 ± 0.15 | 18.81 ± 0.10 | 19.97 ± 0.10 | 26.03 ± 0.06 |
| 0.43 | 18.26 ± 0.12 | 18.65 ± 0.14 | 18.22 ± 0.12 | 19.12 ± 0.13 | 19.31 ± 0.09 | 26.10 ± 0.09 |
Figure 3The 3D plot of optimization the working concentration.
Figure 4The stability of the AuNP probe.
Figure 5The specificity of the AuNP probe based-immunoassay in target pesticide detection.
Figure 6(A) The triazophos standard curves. (B) Amplification curves of dilution series of triazophos ranging from 0.04 ng mL−1 to 10 ng mL−1, and negative control (containing SYBR Green Real-time PCR Master Mix, but without template DNA).
Reproducibility and recovery of triazophos from spiked samples (n = 5).
| Sample | Spiked concentration (μg/kg) | Bio-bar code immunoassay (%) | RSD (% n = 5) | GC-MS (%) | Sample | Spiked concentration (μg/kg) | Bio-bar code immunoassay (%) | RSD (% n = 5) | GC-MS (%) |
|---|---|---|---|---|---|---|---|---|---|
| Apple | 10.0 | 73.3 | 17.9 | 81.9 | Cabbage | 10.0 | 73.1 | 14.3 | 88.2 |
| 50.0 | 84.1 | 10.8 | 87.6 | 50.0 | 99.2 | 14.8 | 91.4 | ||
| 100.0 | 110.5 | 12.2 | 94.6 | 100.0 | 100.1 | 19.1 | 94.3 | ||
| Orange | 10.0 | 72.5 | 17.6 | 88.3 | Rice | 10.0 | 83.4 | 15.3 | 86.3 |
| 50.0 | 89.0 | 18.7 | 91.4 | 50.0 | 89.2 | 13.1 | 93.5 | ||
| 100.0 | 99.4 | 15.3 | 94.1 | 100.0 | 100.2 | 17.3 | 96.2 |
The analysis of real samples residue.
| Samples | Concentration (μg/kg) | |||||
|---|---|---|---|---|---|---|
| Apple | <LOD | <LOD | <LOD | <LOD | <LOD | <LOD |
| 0.05 | <LOD | 0.06 | <LOD | <LOD | <LOD | |
| <LOD | <LOD | <LOD | 0.04 | <LOD | <LOD | |
| Orange | 0.12 | <LOD | <LOD | <LOD | 0.09 | <LOD |
| <LOD | 0.13 | <LOD | 0.06 | <LOD | <LOD | |
| <LOD | <LOD | <LOD | <LOD | <LOD | <LOD | |
| Cabbage | 0.14 | <LOD | <LOD | 0.15 | 0.09 | <LOD |
| <LOD | <LOD | 0.12 | <LOD | <LOD | <LOD | |
| <LOD | <LOD | <LOD | <LOD | <LOD | <LOD | |
| Rice | <LOD | <LOD | 0.13 | <LOD | <LOD | <LOD |
| 0.08 | <LOD | <LOD | <LOD | 0.06 | <LOD | |
| <LOD | <LOD | <LOD | <LOD | 0.11 | <LOD | |
The LOD of the method: 0.02 μg/kg.