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.

在本文中，新亚水杨荧光传感器（1，2，和3）成功地被所述一个锅缩合反应合成，并涂覆在滤纸上，以产生荧光基于纸张的传感器阵列。的化合物1，2，和3纸基传感器阵列响应暴露于15种不同的VOC蒸气而显示出快速的荧光信号。使用智能手机作为监视荧光信号外观的替代设备。使用智能手机相机拍摄的图像通过常规图像处理程序分析了RGB值。通过使用主成分分析（PCA）对15个VOC蒸气分析的荧光图像中的ΔRGB数据集（3个荧光团×15个VOC蒸气×4个重复）进行了统计分类，将其分类为15个簇，具有100％的辨别精度。所提出的传感器阵列作为用于VOC蒸气辨别的便携式电子鼻（电子鼻）系统具有很高的潜力。