A fluorometric paper-based sensor array for the discrimination of volatile organic compounds (VOCs) with novel salicylidene derivatives. (December 2018)

• Record Type: Journal Article
• Authors: Jarangdet, Thiti; Pratumyot, Kornkanya; Srikittiwanna, Kittiwat; Dungchai, Wijitar; Mingvanish, Withawat; Techakriengkrai, Ittipon; Sukwattanasinitt, Mongkol; Niamnont, Nakorn
• Is Part Of: Dyes and pigments. Volume 159(2018)
• Page Start: 378
• Page End: 383
• Publication Date: 2018-12
• Subjects: Dyes and dyeing -- Periodicals; Pigments -- Periodicals; 667.2
• DOI: 10.1016/j.dyepig.2018.06.044
• Languages: English
• ISSNs: 0143-7208

Abstract

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. Graphical abstract: Image 1 Highlights: Novel salicylidene fluorescent sensors (1, 2, and 3) were successfully synthesized in one-pot synthesis with high yield. The compound 1, 2, and 3 paper-based fluorescent sensors exhibited rapid fluorescent signal in response to exposure to 15 VOC vapors. 100% discriminating accuracy of 15 VOC vapors by using Principle component analysis (PCA) of ΔRGB values obtained from sensor images.