1. Molecularly imprinted polymer-based photonic crystal sensor array for the discrimination of sulfonamides.
- Author
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Lin ZZ, Li L, Fu GY, Lai ZZ, Peng AH, and Huang ZY
- Subjects
- Animals, Discriminant Analysis, Fishes, Food Contamination analysis, Limit of Detection, Molecular Imprinting methods, Principal Component Analysis, Seafood analysis, Silicon Dioxide chemistry, Spectrophotometry, Ultraviolet methods, Sulfonamides chemistry, Polymers chemistry, Sulfonamides analysis
- Abstract
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
-4 mol L-1 , 10-6 mol L-1 , and 10-8 mol L-1 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., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2019 Elsevier B.V. All rights reserved.)- Published
- 2020
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