Evidence map›Paper›PMID 40574998›Full record

ReviewPrecision chemistry2025

Multiplex Detection of Biomarkers Empowered by Nanomaterials.

Zongbo Li, Mingquan Guo, Wenwan Zhong

Abstract readReview
In one paragraph

Review in Precision chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Strategies for Multiplexing Plasmonic Biosensing.Sensors (Basel, Switzerland) · 2026
    Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. 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

3 authors.

Zongbo LiState Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei, Anhui 230026, P.R. China.
Mingquan GuoState Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei, Anhui 230026, P.R. China.
Wenwan ZhongState Key Laboratory of Precision and Intelligent Chemistry, School of Chemistry and Materials Science, University of Science and Technology of China, Hefei, Anhui 230026, P.R. China.ORCID https://orcid.org/0000-0002-3317-3464

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers, including proteins, nucleic acids, and metabolites, are the molecules that can provide insightful information about biological processes and pathological developments. Identification and quantification of biomarkers are highly beneficial for disease diagnosis, progression monitoring, and treatment supervision. However, disease development often involves the complex interplay of molecular networks that limits the utility of individual biomarkers in reaching reliable diagnostic and therapeutic decisions. Thus, recent developments of bioassays have turned the focus to analysis of a collection of biomarkers simultaneously, aiming to improve precision in diagnosis. To achieve the demanded throughput in multiplex detection while keeping the excellent analytical performance in speed, sensitivity, and selectivity, nanomaterials stand out to be the proper enabling tools, with their unique but highly diversified physical and chemical properties and the much advanced synthesis strategies. Herein, this review highlights the recent (2020-2024) developments in the nanomaterial-enabled, optical multiplex sensing techniques. Four key approaches to achieve multiplexity were discussed: spatial coding, signal coding, biocarriers, and data deconvolution using machine learning. We believe these advancements have driven forward the applications of multiplex detection in clinical settings by improving the throughput of biomarker analysis.

Indexed as

BiocarriersMachine LearningMultiplex Assays; BiomarkersNanomaterialsOptical DetectionSignal CodingSpatial Coding

Identifiers

PMID40574998
PMCPMC12188404

What Socratic 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 Socratic graph.