| Literature DB >> 35681348 |
Yinyin Liu1, Dan Liu1, Shuangshuang Cui1, Can Li1, Ziguang Yun1, Jian Zhang1, Fengxia Sun1.
Abstract
In order to improve the weak optical performance of gold nanoparticles and realize the signal amplification of lateral flow chromatography test strips, individual gold nanoparticles (AuNPs) were aggregated into gold nanoparticle aggregates through functional groups around polyamidoamine (PAMAM) dendrimers. A signal-amplified aptamer-based lateral flow chromatography test strip was constructed for the rapid determination of ochratoxin A (OTA). Under optimal conditions, the visual detection limit of this test strip was 0.4 ng mL-1 and the semi-quantitative limit of detection (LOD) was 0.04 ng mL-1. Compared with other traditional aptamer lateral flow chromatography test strips, its sensitivity was improved about five times. The whole test could be completed within 15 min. The aptamer-based strip was applied to the detection of OTA in red wine; the average recoveries ranged from 93% to 105.8% with the relative standard deviation (RSD) varying from 3% to 8%, indicating that the test strip may be a potentially effective tool for the on-site detection of OTA.Entities:
Keywords: aptamer; lateral flow test strip; ochratoxin A; red wine; signal amplification
Year: 2022 PMID: 35681348 PMCID: PMC9180343 DOI: 10.3390/foods11111598
Source DB: PubMed Journal: Foods ISSN: 2304-8158
Figure 1(a) The schematic illustration for the preparation of PAMAM–AuNP–aptamer aggregates; (b) the sensing principle of the signal-amplified lateral flow strip.
Figure 2(a) The UV–Vis spectra of AuNPs, PAMAM–AuNPs and PAMAM–AuNP–aptamer aggregates; (b) the TEM image of AuNPs; (c) the TEM image of PAMAM–AuNPs.
Figure 3Effect of the ratio of AuNPs to PAMAM (a), the ratio of AuNPs to aptamers (b), probe 1 concentration (c), dilution multiple (d) and running buffer style (e) on the S/N of the test strip. S represents the peak area of the test zone and N represents the peak area of the control zone.
Figure 4(a) The expected test results of the sample without and with OTA; (b) sensitivity test of the test strip; (c) calibration curve for the detection of OTA via Image J software.
Figure 5Detection results of the specificity confirmation of the test strip.
Results of OTA detection in red wine samples.
| a Group | Add | Found | b Recovery (%) | b RSD (%) |
|---|---|---|---|---|
| 1 | 0.05 | 0.050 ± 0.004 | 103 | 8 |
| 2 | 0.1 | 0.095 ± 0.003 | 96 | 3 |
| 3 | 0.4 | 0.42 ± 0.02 | 106 | 4 |
| 4 | 0.5 | 0.49 ± 0.02 | 101 | 3 |
| 5 | 1 | 0.93 ± 0.04 | 93 | 4 |
a Each group had three samples; b n = 3.
Comparison of the method proposed in this study with other reported methods for OTA detection using lateral flow strips.
| Labels | Signal Output | Recognition Probe | LOD (ng mL−1) | Assay Time (min) | Reference |
|---|---|---|---|---|---|
| AuNPs | Colorimetry | Antibody | 1 | 5 | [ |
| AuNPs/AgNPs | Colorimetry | Antibody | 0.9 | 10 | [ |
| Quantum dots | Fluorescence | Antibody | 0.07 | 15 | [ |
| Quantum dot | Fluorescence | Antibody | 0.085 | 15 | [ |
| Magneto–gold | Colorimetry | Antibody | 0.094 | 5 | [ |
| AuNPs | Colorimetry | Aptamer | 0.18 | 10 | [ |
| AuNPs | Colorimetry | Aptamer | 1 | 15 | [ |
| Cy5 | Fluorescence | Aptamer | 0.4 | 10 | [ |
| AuNPs | Colorimetry | Aptamer | 0.04 | 15 | This study |