# Single-MicroRNA Detection on High-Selectivity Metasurface Fluorescence Biosensors

https://mdr.nims.go.jp/datasets/d6a8435c-4ba3-4e8a-bcf5-05ad18983232

## File

- [Iwanaga_ACSNano19(2025)38841.pdf](https://mdr.nims.go.jp/filesets/706638d5-9f20-47a5-a45b-7b7bcb33a978/download) ([Detail](https://mdr.nims.go.jp/filesets/706638d5-9f20-47a5-a45b-7b7bcb33a978.md))
- [nn5c15853_si_001.pdf](https://mdr.nims.go.jp/filesets/6366e949-264e-4fb0-95da-f25802bba692/download) ([Detail](https://mdr.nims.go.jp/filesets/6366e949-264e-4fb0-95da-f25802bba692.md))

## Id

d6a8435c-4ba3-4e8a-bcf5-05ad18983232

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2025-11-12T00:18:30.061768Z

## Updated at

2025-11-12T23:30:13.159116Z

## Published at

2025-11-12T23:22:09.979890Z

## Doi



## First published url

https://doi.org/10.1021/acsnano.5c15853

## Date published

2025-11-11

## Recorded date published

2025-11-11

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Single-MicroRNA Detection on High-Selectivity Metasurface Fluorescence Biosensors
  title_type: original
  lang: en

## Description

- description: Next-generation diagnostics is expecting to use the abundant data on
    living bodies and provide sufficiently useful healthcare information. A significant
    portion of the data is considered to be collected from microRNAs (miRNAs), which
    play crucial roles in various activities inside the body. Here, we demonstrate
    single-miRNA detection using metasurface fluorescence (FL) biosensors, which are
    optimized all-dielectric nanostructured surfaces featuring excellent FL detection
    capability. Ultimate high-sensitivity discrimination of one miRNA from zero miRNA
    is achieved at the sub-attomolar level by employing optimized reverse transcription
    (RT) of miRNAs, polymerase chain reaction (PCR) suppressing false reactions, and
    highly efficient and target-selective FL detection of the miRNA amplicons on the
    metasurface biosensors using appropriately designed oligo DNA probes. This degree
    of precision has never been obtained using any other technique, such as digital
    PCR, which is currently one of the most efficient techniques. Furthermore, we
    demonstrate the specific detection of a cancer-correlated miRNA that is deeply
    mixed with another miRNA. We also examine and discuss other methods, which possibly
    work for miRNA detection at femtomolar or lower concentrations, such as chromatography
    and different amplification methods, including handy one-step RT-PCR.
  description_type: abstract
  lang: und

## Creator

- name: Masanobu Iwanaga
  role: author
  orcid: https://orcid.org/0000-0002-8930-6940

## Contact agent



## Publisher

organization: American Chemical Society (ACS)

## Managing organization



## Keyword

- subject: metasurface
  schema: not_defined
- subject: biosensor
  schema: not_defined
- subject: microRNA
  schema: not_defined
- subject: single-molecule detection
  schema: not_defined
- subject: selective biosensing
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by/4.0/

## Other identifier(s)



## Data origin



## Embargo



## Journal

- title: ACS Nano
  issn: '19360851'
  volume: '19'
  issue: '44'
  start_page: 38841
  end_page: 38848

## Conference



## Related item



## Funding

- identifier: JP24K01389
  funder_name: Japan Society for the Promotion of Science
- funder_name: National Institute for Materials Science
  description: Priority Research Project "Biomaterials"

## Instrument



## Instrument operator



## Instrument managing organization



## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



## Structural feature for specimen



## Specific property for specimen



## Process for specimen treatment



## Computational method



## Energy level/transition state



## Software



## Custom property



## Fileset

- id: 706638d5-9f20-47a5-a45b-7b7bcb33a978
  filename: Iwanaga_ACSNano19(2025)38841.pdf
  content_type: application/pdf
  size: 4748727
  md5: 60ae771156d788ab606d3596bcdabe9c
- id: 6366e949-264e-4fb0-95da-f25802bba692
  filename: nn5c15853_si_001.pdf
  content_type: application/pdf
  size: 1114904
  md5: f9531e7f416e2d869ec9fe5b0c44dc40

## Thumbnail

fileset_id: 706638d5-9f20-47a5-a45b-7b7bcb33a978
filename: Iwanaga_ACSNano19(2025)38841.pdf