Objective To establish a chronoamperometry detection method for accurately determining the nitrite content in food. Methods Cobalt nanoparticles, graphene oxide, and polypyrrole were electrodeposited on the electrode surface to construct an electrochemical sensor for nitrite detecting. The detection conditions were optimized, and the linear range of chronocurrent method for nitrite detection was determined. After the specificity of the detection method was verified, the samples were tested using the optimized detection conditions. Results An electrochemical sensor for nitrite detection was prepared. The optimal potential for this method was 0.85 V, the optimal pH was 8.0, and the optimal deposition time was 300 s. The interfering substances dopamine, ascorbic acid and uric acid had little impact on the detection of nitrite, and the detection of samples found that the established method had high accuracy. Conclusion An electrochemical sensor for detecting nitrite is prepared, which has good stability and high accuracy, and is suitable for the determination of nitrite content food.
| 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 |