Evidence map›Paper›PMID 37622863›Full record

ReviewBiosensors2023

Electrochemical Impedance Spectroscopy-Based Sensing of Biofilms: A Comprehensive Review.

Sikander Ameer, Hussam Ibrahim, Muhammad Usama Yaseen, Fnu Kulsoom, Stefano Cinti, Mazhar Sher

Abstract readReview
In one paragraph

Review in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. UnderstandingMicroorganisms · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. 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

6 authors.

Sikander AmeerDepartment of Agricultural and Biosystems Engineering, South Dakota State University, Brookings, SD 57007, USA.
Hussam IbrahimDepartment of Electrical & Computer Engineering, Iowa State University, Ames, IA 50011, USA.ORCID 0000-0003-0458-3795
Muhammad Usama YaseenDepartment of Biosystems and Agricultural Engineering, Oklahoma State University, Stillwater, OK 74078, USA.
Fnu KulsoomDepartment of Zoology, Abbottabad University of Science and Technology, Havelian 22500, Pakistan.
Stefano CintiDepartment of Pharmacy, University of Naples "Federico II", Via D. Montesano 49, 80131 Naples, Italy.ORCID 0000-0002-8274-7452
Mazhar SherDepartment of Agricultural and Biosystems Engineering, South Dakota State University, Brookings, SD 57007, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofilms are complex communities of microorganisms that can form on various surfaces, including medical devices, industrial equipment, and natural environments. The presence of biofilms can lead to a range of problems, including infections, reduced efficiency and failure of equipment, biofouling or spoilage, and environmental damage. As a result, there is a growing need for tools to measure and monitor levels of biofilms in various biomedical, pharmaceutical, and food processing settings. In recent years, electrochemical impedance sensing has emerged as a promising approach for real-time, non-destructive, and rapid monitoring of biofilms. This article sheds light on electrochemical sensing for measuring biofilms, including its high sensitivity, non-destructive nature, versatility, low cost, and real-time monitoring capabilities. We also discussed some electrochemical sensing applications for studying biofilms in medical, environmental, and industrial settings. This article also presents future perspectives for research that would lead to the creation of reliable, quick, easy-to-use biosensors mounted on unmanned aerial vehicles (UAVs), and unmanned ground vehicles (UGVs), utilizing artificial intelligence-based terminologies to detect biofilms.

Indexed as

Artificial IntelligenceBiofoulingBiofilmsDielectric SpectroscopyElectric Impedancebiofilmsbiosensorselectrochemical impedance spectroscopy

Identifiers

PMID37622863
PMCPMC10452506

What OpenQuestion 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 OpenQuestion graph.