Evidence map›Paper›PMID 41198576›Full record

ArticleNano letters2025

Optical Nanobubble Amplification Enables Compartment- and Enzyme-Free Digital Attomolar Protein Absolute Quantification.

Tingting Zhang, Ye Gao, Yaning Liu, Yu Zhang, HoangDinh Huynh, Jiyang Chen, Chen Xie, Haihang Ye, Xiaoqian Ge, Jeffrey S Kahn and 1 more

Abstract read
In one paragraph

Article in Nano letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Tingting ZhangDepartment of Mechanical Engineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
Ye GaoDepartment of Mechanical Engineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
Yaning LiuDepartment of Mechanical Engineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
Yu ZhangDepartment of Bioengineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
HoangDinh HuynhDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas 75390, United States.
Jiyang ChenDepartment of Mechanical Engineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
Chen XieDepartment of Mechanical Engineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
Haihang YeDepartment of Mechanical Engineering, University of Texas at Dallas, Richardson, Texas 75080, United States.ORCID 0000-0002-5199-4418
Xiaoqian GeDepartment of Mechanical Engineering, University of Texas at Dallas, Richardson, Texas 75080, United States.
Jeffrey S KahnDepartment of Pediatrics, University of Texas Southwestern Medical Center, Dallas, Texas 75390, United States.
Zhenpeng QinDepartment of Mechanical Engineering, University of Texas at Dallas, Richardson, Texas 75080, United States.ORCID 0000-0003-3406-3045

Funding

Rapid Diagnostic Test for Respiratory Syncytial Virus by Digital NanobubblesR01AI151374 · NIAID · UNIVERSITY OF TEXAS DALLAS · PI QIN, ZHENPENG · 2020 to 2024
$2.5M
Rapid Viral Diagnostic Test by Digital Plasmonic NanobubblesR41AI170408 · NIAID · AVSANA LABS INCORPORATED · PI QIN, ZHENPENG · 2022 to 2023
$596k
NIAID NIH HHS R01 AI151374NIAID NIH HHS R41 AI170408
6 · The paper itself

Abstract

Absolute quantification at the single-protein level is crucial for accurately defining relationships between biomarkers, which are pivotal for disease diagnostics and therapeutic development. While digital detection technologies have achieved single-molecule sensitivity, they often rely on enzymatic amplification and physical compartmentalization, making the process complex and time-consuming. To address these challenges, we developed BEACON (biomarker enumeration via amplified cavitation optical nanobubbles), a compartment- and enzyme-free, high-throughput platform for single-protein counting. BEACON employs antibody-functionalized silica beads and gold nanoparticles to form sandwich complexes with the target proteins. Upon laser excitation, each gold nanoparticle generates a detectable plasmonic nanobubble, providing a robust scattering signal for the digital counting of individual proteins. Using BEACON, we achieved attomolar detection limits for clinically relevant protein biomarkers: PSA (32 aM), COVID-S (123 aM), and RSV fusion (65 aM). BEACON offers a simplified, rapid, and highly sensitive alternative to existing digital immunoassays with significant potential for clinical diagnostics and point-of-care applications.

Indexed as

COVID-19Metal NanoparticlesProstate-Specific AntigenBiomarkersGoldHumansImmunoassayLimit of DetectionSARS-CoV-2Silicon DioxideBiomarkersGoldProstate-Specific AntigenSilicon Dioxideattomolar sensitivitycompartment-free assaydigital immunoassayenzyme-free detectionnanoparticle sensingplasmonic nanobubblesingle protein counting

Identifiers

PMID41198576
PMCPMC13648001

What OpenQuestion holds

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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.