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We propose a printed 384‐well microtiter paper‐based fluorescent chemosensor array device (384‐well microtiter PCAD) to simultaneously categorize and discriminate saccharides and sulfur‐containing amino acids for food analysis. The 384‐well microtiter PCAD requiring 1 μL/4 mm2 of each well can allow high‐throughput sensing. The device embedded with self‐assembled fluorescence chemosensors displayed a fingerprint‐like response pattern for targets, the image of which was rapidly captured by a portable digital camera. Indeed, the paper‐based chemosensor array system combined with imaging analysis and pattern recognition techniques not only successfully categorized saccharides and sulfur‐containing amino acids but also classified mono‐ and disaccharide groups. Furthermore, the quantitative detectability of the printed device was revealed by a spike and recovery test for fructose and glutathione in a diluted freshly made tomato juice. We believe that the 384‐well microtiter PCAD using the imaging analysis system will be a powerful sensor for multi‐analytes at several categorized groups in real samples. [ABSTRACT FROM AUTHOR]

Indeed, the printed 384-well microtiter paper-based fluorescent chemosensor array system combined with imaging analysis and pattern recognition techniques successfully not only categorized saccharides and sulfur-containing amino acids but also classified mono- and disaccharide groups. Paper, sensors, pattern recognition, self-assembly, food analysis Keywords: paper; sensors; pattern recognition; self-assembly; food analysis EN paper sensors pattern recognition self-assembly food analysis 1 1 1 08/19/22 20220815 NES 220815 B A facile paper-based device b embedded with self-assembled fluorescent chemosensors displayed a fingerprint-like response pattern for targets, the image of which was rapidly captured by a portable digital camera. [Extracted from the article]