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هشتمین سمینار دوسالانه کمومتریکس ایران
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| عنوان فارسی |
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| چکیده فارسی مقاله |
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| عنوان انگلیسی |
Classification of Fluoroquinolones based on colorimetric sensor array using modified silver nanoparticles and Artificial Neural Networks |
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| چکیده انگلیسی مقاله |
Colorimetric sensor arrays are efficient, effective, and sensitive tools for quick detection and identification of a wide variety of chemicals based on the colorimetric or fluorimetric responses as measured by spectroscopic instruments[1]. Colloidal plasmonic metal nanoparticles, especially Au and Ag nanoparticles, show a very dense color in the visible region of the spectrum, which is due to the localized surface plasmon resonance (LSPR) phenomenon[2]. Plasmonic nanoparticle-based colorimetric sensor arrays are usually based on the changes in the optical properties of the nanoparticles due to their aggregation and change in morphology [3]. In this study, a colorimetric sensor array comprised of four different modified AgNPS was constructed for the classification of fluoroquinolones. The kinetic-spectrophotometric data for the aggregation behavior of the modified nanoparticles toward a specific analyte were collected, vectorized and augmented to form a 80160-element vector per sample and a big data matrix for all samples (90*80160). The obtained fingerprints for all of the samples were processed by the Discrete Wavelet Transform (DWT) with the Symlet mother wavelet and two decomposition levels to reduce the dimensionality and complexity of data which results in a set of approximation coefficients with the dimensions (90*12002). The reduced data were then introduced to a genetic-algorithm optimized XY-Fused neural network as a supervised pattern recognition technique for the classification of the drug samples. The resulting top map and the classification parameters indicate the good classification performance of the proposed method toward the analyzed fluoroquinolones. |
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| کلیدواژه‌های انگلیسی مقاله |
Classification، artificial neural network، silver nanoparticles، colorimetric sensor array |
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| نویسندگان مقاله |
زرتشت اسدزاده -
مرتضی بهرام -
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| نشانی اینترنتی |
http://chemo2021.modares.ac.ir/browse.php?a_code=A-10-160-1&slc_lang=fa&sid=1 |
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| زبان مقاله منتشر شده |
fa |
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