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Objective To study the application of SERS technique in the quantitative detection of antibiotic residues in poultry meat and evaluate its potential in food safety monitoring. Methods The SERS principle and enhancement factor calculation were introduced, and the influence of the shape and size of nanoparticles on SERS effect was analyzed experimentally and simulated. Different concentrations of antibiotic residues were detected through SERS, and the detection sensitivity and linear response were evaluated. Results SERS was reliable at${0.8}\mathrm{{nmol}}/\mathrm{L}$antibiotic concentration, the linear response range was${0.1}\sim {1000}\mathrm{{nmol}}/\mathrm{L}$, the${r}^{2}$was 0.999, and the enhancement factor was stable at${10}^{6}$. Conclusion SERS technology has high sensitivity and good linear response, which is suitable for the detection of antibiotic residues in food safety monitoring.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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