College of Food and Biological Engineering, Jimei University, Xiamen, 361021, China.
College of Food and Biological Engineering, Jimei University, Xiamen, 361021, China.
Anal Chim Acta. 2020 Mar 8;1101:32-40. doi: 10.1016/j.aca.2019.12.032. Epub 2019 Dec 13.
In this paper, molecular imprinting and photonic crystal techniques were combined to construct a four-channel sensor array for the simultaneous identification of various sulfonamides. The assay was composed of four units. Three of these units were prepared using sulfaguanidine, sulfamethazine, or sulfathiazole as template molecules. The fourth unit was prepared without a template molecule. The preparation was optimized to obtain maximum identification with a molar ratio of template, monomer, and cross-linker of 1:50:10. The response time was as short as 10 min. For demonstration, six sulfonamides were selected as analytes. The Bragg diffraction patterns of analytes at different concentrations were measured using the sensor array. Data obtained were analyzed using linear discrimination analysis (LDA) and principal component analysis (PCA). LDA can be applied for SAs discrimination. The message ratios of 87.6%, 94.4%, and 95.8% for six SAs at 10 mol L, 10 mol L, and 10 mol L were achieved using LDA. The sensor array identified the mixture containing various SAs with an LDA coefficient of 86.1%, thereby indicating that the sensor array had a strong anti-interference ability. The sensor array was used to identify six SAs in fish samples. The measured data in spiked samples were consistent with the fingerprint collected from standard solutions. The accuracy rate reached 90.9%, indicating that the array can be used to identify SAs from food samples.
本文将分子印迹和光子晶体技术相结合，构建了一个四通道传感器阵列，用于同时识别各种磺胺类药物。该测定法由四个单元组成。其中三个单元分别以磺胺胍、磺胺甲嘧啶或磺胺噻唑为模板分子制备。第四个单元没有模板分子。通过优化制备条件，在模板、单体和交联剂摩尔比为 1:50:10 时，获得了最大的识别效果。响应时间最短可达 10 分钟。为了演示，选择了六种磺胺类药物作为分析物。使用传感器阵列测量了不同浓度分析物的布拉格衍射图案。使用线性判别分析（LDA）和主成分分析（PCA）对获得的数据进行了分析。LDA 可用于磺胺类药物的鉴别。对于浓度为 10 mol/L、10 mol/L 和 10 mol/L 的六种磺胺类药物，LDA 的消息比分别达到 87.6%、94.4%和 95.8%。LDA 系数为 86.1%，表明传感器阵列具有较强的抗干扰能力。该传感器阵列用于识别鱼样中的六种磺胺类药物。加标样品的实测数据与标准溶液的指纹图谱一致，准确率达到 90.9%，表明该阵列可用于从食品样品中识别磺胺类药物。
