Ya Sun , Ziwen Zhao , Jie Zhao , Lide Hu , Yawei Shi , Mengqi Li
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Dummy molecularly imprinted polymer nanochannel sensor for ultrasensitive detection of aniline compounds
Aniline pollutants can cause great harm to human health and the ecosystem, while rapid and selective quantification of aniline compounds in environment samples at trace levels is a highly complex target. In this study, a novel, efficient nanochannel sensor based on dummy molecularly imprinted polymer (DMIP) was fabricated. The sensor works on the principle of the ion current rectification across the asymmetric charged nanoporous capillary. With the help of the electric-concentration multi-field coupling model and controlled experiments, the ion distribution and transport in the nanoporous capillary. and the key influencing factors were examined for optimization of the sensor. At the concentration of 1 nmol/L ∼0.1 mmol/L, the rectification ratio of the nanosensor and logarithm aniline concentration exhibited a good linear relationship with the limit of detection of 0.2 nmol/L. The concentration of anilines in the real seawater sample was tested with the DMIP nanochannel sensor, and the average recovery rate was 88.31 %. The prepared DMIP nanochannel based sensor has established itself a promising method for trace aniline detection in real environmental samples, with the advantages of low cost, small size, simple operation, high accuracy and excellent reproducibility.
期刊介绍:
Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome.
Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.