Evidence map›Paper›PMID 38846401›Full record

ArticleChemical science2024

High-throughput single biomarker identification using droplet nanopore.

Lin-Lin Zhang, Cheng-Bing Zhong, Ting-Jing Huang, Li-Min Zhang, Feng Yan, Yi-Lun Ying

Abstract read
In one paragraph

Article in Chemical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Quantum relaxometry for detecting biomolecular interactions with single NV centers.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Review
  8. Review
  9. Article
  10. 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.

Lin-Lin ZhangMolecular Sensing and Imaging Center, School of Chemistry and Chemical Engineering, Nanjing University Nanjing 210023 P. R. China yilunying@nju.edu.cn.ORCID https://orcid.org/0009-0009-7983-5142
Cheng-Bing ZhongMolecular Sensing and Imaging Center, School of Chemistry and Chemical Engineering, Nanjing University Nanjing 210023 P. R. China yilunying@nju.edu.cn.
Ting-Jing HuangMolecular Sensing and Imaging Center, School of Chemistry and Chemical Engineering, Nanjing University Nanjing 210023 P. R. China yilunying@nju.edu.cn.
Li-Min ZhangSchool of Electronic Science and Engineering, Nanjing University Nanjing 210023 P. R. China.
Feng YanSchool of Electronic Science and Engineering, Nanjing University Nanjing 210023 P. R. China.
Yi-Lun YingMolecular Sensing and Imaging Center, School of Chemistry and Chemical Engineering, Nanjing University Nanjing 210023 P. R. China yilunying@nju.edu.cn.ORCID https://orcid.org/0000-0001-6217-256X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomarkers are present in various metabolism processes, demanding precise and meticulous analysis at the single-molecule level for accurate clinical diagnosis. Given the need for high sensitivity, biological nanopore have been applied for single biomarker sensing. However, the detection of low-volume biomarkers poses challenges due to their low concentrations in dilute buffer solutions, as well as difficulty in parallel detection. Here, a droplet nanopore technique is developed for low-volume and high-throughput single biomarker detection at the sub-microliter scale, which shows a 2000-fold volume reduction compared to conventional setups. To prove the concept, this nanopore sensing platform not only enables multichannel recording but also significantly lowers the detection limit for various types of biomarkers such as angiotensin II, to 42 pg. This advancement enables direct biomarker detection at the picogram level. Such a leap forward in detection capability positions this nanopore sensing platform as a promising candidate for point-of-care testing of biomarker at single-molecule level, while substantially minimizing the need for sample dilution.

Identifiers

PMID38846401
PMCPMC11151865

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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.