Bimodal Array-Based\nFluorescence Sensor and Microfluidic\nTechnology for Protein Fingerprinting and Clinical Diagnosis

Proteins play a crucial role in determining disease states\nin humans,\nmaking them prime targets for the development of diagnostic sensors.\nThe developed sensor array is used to investigate global proteomic\nchanges by fingerprinting multifactorial disease states in model urine\nsimulating phenylketonuria and in serum from preeclamptic pregnant\nwomen. Here, we report a fluorescence-based chemical sensing array\nthat exploits the host–guest interaction between cucurbit[7]uril\n(CB[7]) and fluorescent triphenylamine derivatives (TPA) to detect\na range of proteins. Using linear discriminant analysis, we identify\nfluorescence fingerprints of 14 proteins with over 98% accuracy in\nbuffer and human serum. The array is optimized on an automated droplet\nmicrofluidic-based platform, for high-throughput sensing with controlled\ncomposition and lower sample volumes. This sensor enables the discrimination\nof proteins in physiological buffer and human serum, with promising\napplications in disease diagnosis.