Evidence map›Paper›PMID 37374699›Full record

ArticleMicromachines2023

Toward the Real-Time and Rapid Quantification of Bacterial Cells Utilizing a Quartz Tuning Fork Sensor.

Abeer Alshammari, Sabaa T Abdulmawla, Reem Alsaigh, Khaloud Mohammed Alarjani, Norah Salim Aldosari, Muthumareeswaran Muthuramamoorthy, Abdulaziz K Assaifan, Hamad Albrithen, Khalid E Alzahrani, Abdullah N Alodhayb

Abstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Abeer AlshammariDepartment of Physics and Astronomy, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0002-9571-8060
Sabaa T AbdulmawlaDepartment of Physics and Astronomy, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
Reem AlsaighDepartment of Physics and Astronomy, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
Khaloud Mohammed AlarjaniDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0002-3762-1498
Norah Salim AldosariDepartment of Botany and Microbiology, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
Muthumareeswaran MuthuramamoorthyDepartment of Physics and Astronomy, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0003-3716-1185
Abdulaziz K AssaifanDepartment of Biomedical Technology, College of Applied Medical Sciences, King Saud University, Riyadh 11451, Saudi Arabia.
Hamad AlbrithenDepartment of Physics and Astronomy, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
Khalid E AlzahraniDepartment of Physics and Astronomy, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0001-6857-7509
Abdullah N AlodhaybDepartment of Physics and Astronomy, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.ORCID 0000-0003-0202-8712

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quantitative evaluation of bacterial populations is required in many studies, particularly in the field of microbiology. The current techniques can be time-consuming and require a large volume of samples and trained laboratory personnel. In this regard, on-site, easy-to-use, and direct detection techniques are desirable. In this study, a quartz tuning fork (QTF) was investigated for the real-time detection of

Indexed as

bacteriaMEMS sensorsquantificationquartz tuning forks

Identifiers

PMID37374699
PMCPMC10304165

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.