Evidence map›Paper›PMID 42365487›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Dynamic Single-Binding Event Profiling With on-Chip Microlenses for Wash-Free Digital Biosensing.

Tingting Zhan, Lianyu Lu, Guoqiang Gu, Pengcheng Zhang, Jienan Shen, Xiaotian Tan, Wei Ye, Shi Hu, Yi Zhang, Hao Yu and 3 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. 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

13 authors.

Tingting ZhanResearch Center For Biosensing and Intelligence, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Lianyu LuResearch Center For Biosensing and Intelligence, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Guoqiang GuResearch Center For Biosensing and Intelligence, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0001-9853-5799
Pengcheng ZhangResearch Center For Biosensing and Intelligence, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0001-8749-5250
Jienan ShenResearch Center For Biosensing and Intelligence, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Xiaotian TanResearch Center For Biosensing and Intelligence, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Wei YeResearch Center For Biosensing and Intelligence, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Shi HuResearch Center For Biosensing and Intelligence, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Yi ZhangState Key Laboratory of Biomedical Imaging Science and System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Hao YuState Key Laboratory of Biomedical Imaging Science and System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Shaoqin LiuSchool of Medicine and Health, Key Laboratory of Microsystems and Microstructures Manufacturing (Ministry of Education), Harbin Institute of Technology, Harbin, China.
Hairong ZhengState Key Laboratory of Biomedical Imaging Science and System, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
Hui YangResearch Center For Biosensing and Intelligence, Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.ORCID https://orcid.org/0000-0002-6800-6308

Funding

Guangdong Basic and Applied Basic Research Foundation 2024A1515012320National Natural Science Foundation of China 62175252,62205366,82227806Shenzhen Medical Academy of Research and Translation E250200411Shenzhen Science and Technology Innovations Committee JSGGZD20220822095200001
6 · The paper itself

Abstract

Single-molecule detection enables precise biomarker quantification, yet conventional endpoint assays suffer from long incubation and nonspecific binding. Kinetic assays resolve these via real-time monitoring of molecular interactions, but their reliance on complex optics has restricted their practical adoption, especially in point-of-care settings where speed, portability, and ease of use are paramount. We present a microlens-assisted platform that enables real-time tracking of single-binding events under conventional bright-field microscopy. An on-chip microlens array amplifies scattering from gold nanoparticle labels, enabling kinetic monitoring with low-magnification optics. Dynamic fingerprints of individual events distinguish specific from nonspecific interactions, achieving wash-free digital biosensing with high sensitivity and specificity. This approach not only preserves the analytical advantages of kinetic profiling but also enables an exceptionally compact and portable optical configuration. Using cardiac troponin I, a time-critical biomarker for acute myocardial infarction, we demonstrate an ultralow detection limit of 0.051 pg mL

Indexed as

Biosensing TechniquesLab-On-A-Chip DevicesTroponin IBiomarkersGoldHumansMetal NanoparticlesBiomarkersGoldTroponin Idigital immunoassaymicrolens chipplasmonic nanoparticlesingle‐binding event

Identifiers

PMID42365487
PMCPMC13337108

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.