Evidence map›Paper›PMID 41113149›Full record

ArticleACS measurement science au2025

Enumeration of Bacteria in Suspensions Using Time Domain Reflectometry.

Huan Hu, Yili Lu, Robert Horton, Tusheng Ren

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS measurement science au, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Huan HuCollege of Land Science and Technology, China Agricultural University, Beijing 100193, China.
Yili LuCollege of Land Science and Technology, China Agricultural University, Beijing 100193, China.ORCID https://orcid.org/0000-0001-7716-7173
Robert HortonAgronomy Department, Iowa State University, Ames, Iowa 50011, United States.
Tusheng RenCollege of Land Science and Technology, China Agricultural University, Beijing 100193, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial detection techniques, such as bacterial counting, are essential in all aspects of environmental monitoring and analysis. However, the standard plate count method for bacterial enumeration with colony-forming units is time-consuming and labor-intensive. In this study, we present a fast and accurate method to count bacteria cells using the technique of time-domain reflectometry (TDR) based on the electrical properties of bacterial cell suspensions. A series of suspensions with various bacterial concentrations were used as the test materials, and the electrical conductivity (σ

Indexed as

bacterial enumerationbacterial suspensionelectrical conductivityplate count methodtime-domain reflectometry

Identifiers

PMID41113149
PMCPMC12532056

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.