Evidence map›Paper›PMID 33989531›Full record

ReviewBiochimica et biophysica acta. Biomembranes2021

Nanopore sensing: A physical-chemical approach.

Joseph W F Robertson, Madhav L Ghimire, Joseph E Reiner

Open access · bronzeAbstract readReview
In one paragraph

Review in Biochimica et biophysica acta. Biomembranes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
3.0field-weighted citation impact, top 8% of its field
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

22 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Nanopore event detection in a simple and adaptive way.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Review
  5. Single-Molecule Biodosimetry.Analytical chemistry · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Rationale in Custom Design of Transmembrane β-Barrel Pores.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

3 authors at 2 institutions in 1 country.

Joseph W F RobertsonBiophysical and Biomedical Measurement Group, Microsystems and Nanotechnology Division, Physical Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20899, United States of America. Electronic address: joseph.robertson@nist.gov.
Madhav L GhimireDepartment of Physics, Virginia Commonwealth University, Richmond, VA, United States of America.
Joseph E ReinerDepartment of Physics, Virginia Commonwealth University, Richmond, VA, United States of America.
Virginia Commonwealth University · USNational Institute of Standards and Technology · US

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

Protein nanopores have emerged as an important class of sensors for the understanding of biophysical processes, such as molecular transport across membranes, and for the detection and characterization of biopolymers. Here, we trace the development of these sensors from the Coulter counter and squid axon studies to the modern applications including exquisite detection of small volume changes and molecular reactions at the single molecule (or reactant) scale. This review focuses on the chemistry of biological pores, and how that influences the physical chemistry of molecular detection.

Indexed as

NanoporesChemistry, PhysicalModels, MolecularDNA sequencingIon channelNanopore sensorPeptide detectionPorin

Identifiers

PMID33989531
PMCPMC9793329
OpenAlexW3161883014

What OpenQuestion holds

Textmetadata
LicenceTDM
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.