ArticleBiosensors2023
Robust Detection of Cancer Markers in Human Serums Using All-Dielectric Metasurface Biosensors.
Article in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- 3D Bioprinting and Microfluidic-based Devices for Cancer Detection and Drug Treatment: Focus on Prostate Cancer.Current medicinal chemistry · 2026Review
- Article
- Metasurface-enhanced biomedical spectroscopy.Nanophotonics (Berlin, Germany) · 2025Review
- Development of a novel circulating miRNA panel for early detection of esophageal cancer.American journal of translational research · 2025Article
- Productive biosensing techniques empowered by all-dielectric metasurfaces.Frontiers in bioengineering and biotechnology · 2024Article
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1 author.
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Abstract
One of the most significant characteristics, which biosensors are supposed to satisfy, is robustness against abundant molecules coexisting with target biomolecules. In clinical diagnoses and biosensing, blood, plasma, and serum are used daily as samples. In this study, we conducted a series of experiments to examine the robustness of all-dielectric metasurface biosensors, which comprise pairs of a highly fluorescence-enhancing silicon nanopellet array and a transparent microfluidic chip. The metasurface biosensors were shown to have high performance in detecting various targets from nucleic acids to proteins, such as antigens and antibodies. The present results show almost four-order wide dynamic ranges from 0.16 ng/mL to 1 μg/mL for prostate-specific antigen (PSA) and from 2 pg/mL to 25 ng/mL for carcinoembryonic antigen (CEA). The ranges include clinical criteria for PSA, 4 ng/mL and CEA, 5 ng/mL. To date, a systematic demonstration of robustness has not been reported regarding the metasurface biosensors. In detecting cancer markers of PSA and CEA in human serums, we demonstrate that the metasurface biosensors are robust enough in a wide target concentrations, including the clinical diagnosis criteria.
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