A fluorometric paper-based sensor array for the discrimination of volatile organic compounds (VOCs) with novel salicylidene derivatives
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Author list: Jarangdet T., Pratumyot K., Srikittiwanna K., Dungchai W., Mingvanish W., Techakriengkrai I., Sukwattanasinitt M., Niamnont N.
Publisher: Elsevier Ltd
Publication year: 2018
Volume number: 159
Start page: 378
End page: 383
Number of pages: 6
ISSN: 0143-7208
eISSN: 0143-7208
Languages: English-Great Britain (EN-GB)
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Abstract
In this paper, novel salicylidene fluorescent sensors (1, 2, and 3) were successfully synthesized by the one pot condensation reaction and coated onto filter paper to produce fluorometric paper-based sensor array. The compound 1, 2, and 3 paper-based sensor arrays exhibited rapid fluorescent signal in response to exposure to 15 different VOC vapors. A smartphone was used as an alternative device to monitor the appearance of fluorescent signals. The images photographed using the smartphone camera were analyzed for RGB values by a conventional image-processing program. The ΔRGB data set (3 fluorophores × 15 VOC vapors × 4 repeats) from fluorescent images of 15 VOC vapors analysis have been statistically categorized by using principal component analysis (PCA) into 15 clusters with 100% discriminating accuracy. The proposed sensor array showed high potential as a portable electronic nose (e-nose) system for VOC vapors discrimination. © 2018 Elsevier Ltd
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