Evidence map›Paper›PMID 33434196›Full record

ArticlePloS one2021

A new analysis method for evaluating bacterial growth with microplate readers.

Venkata Rao Krishnamurthi, Isabelle I Niyonshuti, Jingyi Chen, Yong Wang

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. EngineeringBiomolecules · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Improvement of isolation and drug testing methods for Corynebacterium spp. in clinical specimens of granulomatous mastitis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Whole-Genome analysis ofAIMS microbiology · 2025
    Article
  14. Optimizing Production Conditions of a Caspian SeaInternational journal of molecular and cellular medicine · 2025
    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

4 authors.

Venkata Rao KrishnamurthiDepartment of Physics, University of Arkansas, Fayetteville, AR, United States of America.
Isabelle I NiyonshutiDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, AR, United States of America.
Jingyi ChenDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, AR, United States of America.
Yong WangDepartment of Physics, University of Arkansas, Fayetteville, AR, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Growth curve measurements are commonly used in microbiology, while the use of microplate readers for such measurements provides better temporal resolution and higher throughput. However, evaluating bacterial growth with microplate readers has been hurdled by barriers such as multiple scattering. Here, we report our development of a method based on the time derivatives of the optical density (OD) and/or fluorescence (FL) of bacterial cultures to overcome these barriers. First, we illustrated our method using quantitative models and numerical simulations, which predicted the number of bacteria and the number of fluorescent proteins in time as well as their time derivatives. Then, we systematically investigated how the time derivatives depend on the parameters in the models/simulations, providing a framework for understanding the FL growth curves. In addition, as a demonstration, we applied our method to study the lag time elongation of bacteria subjected to treatment with silver (Ag+) ions and found that the results from our method corroborated well with that from growth curve fitting by the Gompertz model that has been commonly used in the literature. Furthermore, this method was applied to the growth of bacteria in the presence of silver nanoparticles (AgNPs) at various concentrations, where the OD curve measurements failed. We showed that our method allowed us to successfully extract the growth behavior of the bacteria from the FL measurements and understand how the growth was affected by the AgNPs.

Indexed as

DensitometryEscherichia coli K12Metal NanoparticlesSilverSilver

Identifiers

PMID33434196
PMCPMC7802944

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.