Evidence map›Paper›PMID 40597218›Full record

ReviewJournal of nanobiotechnology2025

Stimuli-responsive smart materials enabled high-performance biosensors for liquid biopsies.

Xiaoqi Gao, Bayinqiaoge Bayinqiaoge, Ming Li, Rona Chandrawati, Xiangpeng Li, Lining Sun, Chun H Wang, Chengchen Zhang, Shi-Yang Tang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Journal of nanobiotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Xiaoqi GaoSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.
Bayinqiaoge BayinqiaogeSchool of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK.
Ming LiSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.
Rona ChandrawatiSchool of Chemical Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.
Xiangpeng LiCollege of Mechanical and Electrical Engineering, Soochow University, Suzhou, 215000, China.
Lining SunCollege of Mechanical and Electrical Engineering, Soochow University, Suzhou, 215000, China.
Chun H WangSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW, 2052, Australia.
Chengchen ZhangSchool of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK. chengchen.zhang@soton.ac.uk.
Shi-Yang TangSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW, 2052, Australia. shiyang.tang2@unsw.edu.au.

Funding

Australian Research Council FT230100257National Health and Medical Research Council GNT2017679National Natural Science Foundation of China 92248302Royal Society, UK RG/R1/241228Science Fund for Distinguished Young Scholars of Jiangsu Province BK20231522
6 · The paper itself

Abstract

Liquid biopsies have emerged as a key tool that enables personalized medicine, enabling precise detection of biochemical parameters to tailor treatments to individual needs. Modern biosensors enable real-time detection, precise diagnosis, and dynamic monitoring by rapidly analyzing biomarkers such as nucleic acids, proteins, and metabolites in bodily fluids like blood, saliva, and urine. Despite their potential, many biosensors are still constrained by mono-functionality, sub-optimal sensitivity, bulky designs, and complex operation requirements. Recent advances in stimuli-responsive smart materials present a promising pathway to overcome these limitations. These materials enhance biomarker signal transduction, release, or amplification, leading to improved sensitivity, simplified workflows, and multi-target detection capabilities. Further exploration of the integration of these smart materials into biosensing is therefore essential. To this end, this review critically examines and compares recent progress in the development and application of physical, chemical, and biochemical stimuli-responsive smart materials in biosensing. Emphasis is placed on their responsiveness mechanisms, operational principles, and their role in advancing biosensor performance for biomarker detection in bodily fluids. Additionally, future perspectives and challenges in developing versatile, accurate, and user-friendly biosensors for point-of-care and clinical applications using these smart materials are discussed.

Indexed as

Biosensing TechniquesSmart MaterialsAnimalsBiomarkersHumansLiquid BiopsyPrecision MedicineBiomarkersSmart MaterialsBiosensorsLiquid biopsySmart materialsStimuli-responsive materials

Identifiers

PMID40597218
PMCPMC12211237

What OpenQuestion holds

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LicenceCC BY
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.