| Autor: |
Shishun, Zhang, Keman, Shao, Chengyi, Hong, Suyan, Chen, Zhengzhong, Lin, Zhiyong, Huang, Zhuzhi, Lai |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Food Chemistry. 407:135045 |
| ISSN: |
0308-8146 |
| Popis: |
Identification of sulfonamides (SAs) residues in food is vital for human health. A set of 4-channel sensor array was constructed by carbon dots (CDs) embedded in photonic crystal molecularly imprinted (PCMIP@CDs) film which included 3 PCMIP@CDs units and 1 PCNIP@CDs unit to determine typical SAs: sulfadimethoxine, sulfathiazole, sulfaguanidine, sulfamethazine, sulfadiazine. Under the optimal conditions, the response time of the sensor array was only 200 s. Moreover, 300 fluorescence response signals (4 sensor units × 5 sulfonamides × 3 concentrations × 5 repeats) were processed by pattern recognition technique to analyze the ability of the sensor array to recognize 5 kinds of SAs. Subsequently, the linear discrimination analysis (LDA) method was used to identify the five SAs simultaneously with 100 % classification accuracy and the limit of detection was 0.01-0.26 nmol/L. Moreover, the proposed method can effectively identify-five SAs in water and fish samples. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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