Evidence map›Paper›PMID 41283007›Full record

ReviewACS photonics2025

Unlocking the Translational Potential of Nanophotonic Biosensors: Perspectives on Application-Guided Design.

Wihan Adi, Aidana Beisenova, Shovasis K Biswas, Yihong Chen, Samir Rosas, Vaishakh Unnikrishnan, Tianyi Zheng, Mir Hadi Razeghi Kondelaji, Furkan Kuruoglu, Eduardo R Arvelo and 1 more

Abstract readReview
In one paragraph

Review in ACS photonics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Wihan AdiDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID https://orcid.org/0000-0002-4439-2021
Aidana BeisenovaDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID https://orcid.org/0000-0002-7062-0008
Shovasis K BiswasDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID https://orcid.org/0000-0003-1956-954X
Yihong ChenDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Samir RosasDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Vaishakh UnnikrishnanDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Tianyi ZhengDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Mir Hadi Razeghi KondelajiDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Furkan KuruogluDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID https://orcid.org/0000-0002-5314-4441
Eduardo R ArveloDepartment of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.
Filiz YesilkoyDepartment of Biomedical Engineering, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States.ORCID https://orcid.org/0000-0001-8483-3285

Funding

Sensing and manipulating biological systems with quantum photonic technologies.R35GM156309 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Filiz Yesilkoy · 2025 to 2026
$826k
A novel multimodal ECM analysis platform for tumor characterization combining morphological and spectrochemical tissue imaging approaches.R61CA281795 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI CAMPAGNOLA, PAUL J, YESILKOY, FILIZ · 2023 to 2025
$615k
Metasurface enhanced and machine learning aided spectrochemical liquid biopsyR21EB034411 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI YESILKOY, FILIZ · 2023 to 2025
$595k
NCI NIH HHS R61 CA281795NIBIB NIH HHS R21 EB034411NIGMS NIH HHS R35 GM156309
6 · The paper itself

Abstract

Biochemical sensing platforms have become indispensable to critical decision-making across healthcare, security, and industrydelivering essential data that powers AI systems and shaping our modern lifestyles. This growing reliance on biosensors has elevated expectations, creating demand for portable, user-friendly, and cost-efficient platforms with ultrahigh sensitivity and specificity. Nanophotonic biosensors, which harness engineered subwavelength architectures to amplify light-matter interactions, offer transformative solutions through label-free, real-time, multiplexed detection capabilities. Despite compelling laboratory demonstrations, these technologies remain largely unrealized in real-world applications. This perspective examines the critical "valley of death" in technology transfer, where promising innovations stall before commercialization, while drawing strategic insights from surface plasmon resonance biosensors' successful commercialization journey. Highlighting technologies engineered for high-demand applications, we advocate an application-guided design approach to unlock nanophotonic sensors' translational potential. We share our perspectives on how this strategic framework offers a pathway through commercialization bottlenecks, accelerating the transformation from scientific achievement to societal impact.

Indexed as

biomedical sensor applicationsbiosensorsmedical diagnosticsnanophotonicsplasmonicstechnology transfer

Identifiers

PMID41283007
PMCPMC12636079

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.