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2D nanomaterial sensing array using machine learning for differential profiling of pathogenic microbial taxonomic identification

6 Jul 2022

Abstract excerpt

Abstract An integrated custom cross-response sensing array has been developed combining the algorithm module’s visible machine learning approach for rapid and accurate pathogenic microbial taxonomic identification. The diversified cross-response sensing array consists of two-dimensional nanomaterial (2D-n) with fluorescently labeled single-stranded DNA (ssDNA) as sensing elements to extract a set of differential...

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Share to Advanced biosensing and bioanalysis techniques
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PMID: 35792975
DOI: 10.1007/s00604-022-05368-5

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