传感器阵列
检出限
磺胺二甲氧嘧啶
分子印迹聚合物
材料科学
荧光
肉眼
色谱法
化学
计算机科学
选择性
光学
有机化学
机器学习
物理
催化作用
作者
Shishun Zhang,Keman Shao,Chengyi Hong,Suyan Chen,Zhengzhong Lin,Zhiyong Huang,Zhuzhi Lai
出处
期刊:Food Chemistry
[Elsevier BV]
日期:2022-11-24
卷期号:407: 135045-135045
被引量:28
标识
DOI:10.1016/j.foodchem.2022.135045
摘要
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.
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