We report a point-of-care sensor for multiplexed quantification of three cardiac biomarkers, i.e., myoglobin, creatine kinase-MB (CK-MB) and heart-type fatty acid binding protein (FABP) from human serum. The sensor uses a paper-based fluorescent vertical-flow assay (fxVFA), and the assay operation takes <15 min and requires 50 µL of serum. After the assay, an image of the sensing membrane is captured by a cellphone-based reader, and a deep learning-based algorithm infers the concentrations of the 3 cardiac biomarkers from the captured fluorescence image. Our fxVFA achieved a limit-of-detection of <0.52 ng/mL, a coefficient-of-determination of >0.9, and a coefficient-of-variation (CV) of <15%.
We demonstrate a multiplexed fluorescent vertical flow assay (fxVFA) processed by a hand-held reader and a deep learning-based algorithm for quantification of three biomarkers, i.e. myoglobin, creatine kinase-MB (CK-MB) and heart-type fatty acid binding protein (FABP) from human serum samples. fxVFA operation takes <15 min and requires 50 µL of serum sample. fxVFA achieved <0.52 ng/mL limits-of-detection for all three analytes with minimal cross-reactivity between the antigens. Furthermore, quantification performance of fxVFA was tested on 16 serum samples and fxVFA-predicted concentrations had >0.9 coefficients of determination and <15 % coefficients of variation with the respect to a standard ELISA test.
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