Targeted Sub-attomole Cancer Biomarker Detection based on Phase Singularity 2D Nanomaterial-enhanced Plasmonic Biosensor

TL;DR

This paper introduces a novel plasmonic biosensor using atomically thin 2D phase change nanomaterials, achieving ultra-sensitive detection of low-molecular-weight cancer biomarkers with unprecedented lateral position shift signals.

Contribution

It is the first experimental demonstration of a lateral position signal change > 340 μm using 2D phase singularity nanomaterials for highly sensitive cancer biomarker detection.

Findings

Detection limit of 10-15 mol L-1 for TNF-α biomarker

Lateral position shift > 340 μm achieved

Enhanced detection of femtomolar level biomarkers

Abstract

Detection of small cancer biomarkers with low molecular weight and a low concentration range has always been challenging yet urgent in many clinical applications such as diagnosing early-stage cancer, monitoring treatment and detecting relapse. Here, a highly enhanced plasmonic biosensor that can overcome this challenge using atomically thin two-dimensional (2D) phase change nanomaterial is developed. By precisely engineering the configuration with atomically thin materials, the phase singularity has been successfully achieved with a significantly enhanced lateral position shift effect. Based on our knowledge, it is the first experimental demonstration of a lateral position signal change > 340 {\mu}m at a sensing interface from all optical techniques. With this enhanced plasmonic effect, the detection limit has been experimentally demonstrated to be 10-15 mol L-1 for TNF-{\alpha} cancer marker, which has been found in various human diseases including inflammatory diseases and different kinds of cancer. The as-reported novel integration of atomically thin Ge2Sb2Te5 (GST) with plasmonic substrate, which results in a phase singularity and thus a giant lateral position shift, enables the detection of cancer markers with low molecular weight at femtomolar level. These results will definitely hold promising potential in biomedical application and clinical diagnostics.