Yakun Yi, Peng Song, Ziyi Li, Jinzhou Ju, Guixiang Sun, Qianyuan Ren, Ke Zhou, Lei Liu, Hai-Chen Wu
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Nanopore-based enzyme-linked immunosorbent assay for cancer biomarker detection
Enzyme-linked immunosorbent assay (ELISA) has been widely used in cancer diagnostics due to its specificity, sensitivity and high throughput. However, conventional ELISA is semiquantitative and has an insufficiently low detection limit for applications requiring ultrahigh sensitivity. In this study, we developed an α-hemolysin-nanopore-based ELISA for detecting cancer biomarkers. After forming the immuno-sandwich complex, peptide probes carrying enzymatic cleavage sites are introduced, where they interact with enzymes conjugated to the detection antibodies within the complex. These probes generate distinct current signatures when translocated through the nanopore after enzymatic cleavage, enabling precise biomarker quantification. This approach offers a low detection limit of up to 0.03 fg ml–1 and the simultaneous detection of six biomarkers, including antigen and antibody biomarkers in blood samples. Overall, the nanopore-based ELISA demonstrates high sensitivity and multiplexing capability, making it suitable for next-generation diagnostic and point-of-care testing applications.
期刊介绍:
Nature Nanotechnology is a prestigious journal that publishes high-quality papers in various areas of nanoscience and nanotechnology. The journal focuses on the design, characterization, and production of structures, devices, and systems that manipulate and control materials at atomic, molecular, and macromolecular scales. It encompasses both bottom-up and top-down approaches, as well as their combinations.
Furthermore, Nature Nanotechnology fosters the exchange of ideas among researchers from diverse disciplines such as chemistry, physics, material science, biomedical research, engineering, and more. It promotes collaboration at the forefront of this multidisciplinary field. The journal covers a wide range of topics, from fundamental research in physics, chemistry, and biology, including computational work and simulations, to the development of innovative devices and technologies for various industrial sectors such as information technology, medicine, manufacturing, high-performance materials, energy, and environmental technologies. It includes coverage of organic, inorganic, and hybrid materials.