Evidence map›Paper›PMID 41682018›Full record

ReviewPolymers2026

Research Advances in Conjugated Polymer-Based Optical Sensor Arrays for Early Diagnosis of Clinical Diseases.

Qiuting Ye, Shijie Fan, Jieling Lao, Jiawei Xu, Xiyu Liu, Pan Wu

Abstract readReview
In one paragraph

Review in Polymers, 2026. 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. Article
  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

6 authors.

Qiuting YeCollege of Pharmacy, Guangxi Medical University, Nanning 530021, China.
Shijie FanCollege of Pharmacy, Guangxi Medical University, Nanning 530021, China.
Jieling LaoState Key Laboratory of Targeting Oncology, Guangxi Medical University, Nanning 530021, China.
Jiawei XuState Key Laboratory of Targeting Oncology, Guangxi Medical University, Nanning 530021, China.
Xiyu LiuState Key Laboratory of Targeting Oncology, Guangxi Medical University, Nanning 530021, China.
Pan WuCollege of Pharmacy, Guangxi Medical University, Nanning 530021, China.

Funding

Guangxi Natural Science Foundation 2023GXNSFBA026206National Natural Science Foundation of China 82360563
6 · The paper itself

Abstract

Early and accurate diagnosis is critical for disease surveillance, therapeutic guidance, and relapse monitoring. Sensor arrays have emerged as a multi-analyte detection tool via non-specific interactions to generate unique fingerprint patterns with high levels of selectivity and discrimination. Conjugated polymers (CPs), with their tunable π-conjugated backbones, exceptional light-harvesting capability, and efficient "molecular wire effect," provide an ideal and versatile material platform for such arrays, enabling significant optical signal amplification and high sensitivity. This review systematically outlines the rational design and functionalization strategies of CPs for constructing high-performance sensor arrays. It delves into the structure-property relationships that govern their sensing performance, covering main-chain engineering, side-chain functionalization, and microenvironmental regulation. Representative applications are discussed, including non-small cell lung cancer, breast cancer, bacterial and viral infections, Alzheimer's disease, and diabetic nephropathy, highlighting the remarkable diagnostic capabilities achieved through tailored CP materials. Finally, future perspectives are focused on novel material designs and device integration to advance this vibrant field.

Indexed as

biomedical applicationsconjugated polymersdisease diagnosismaterial designsensor arrays

Identifiers

PMID41682018
PMCPMC12899364

What Socratic holds

Textmetadata
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 Socratic graph.