Evidence map›Paper›PMID 36558982›Full record

ReviewPharmaceuticals (Basel, Switzerland)2022

Application of Microfluidics for Bacterial Identification.

Fraser Daniel, Delaney Kesterson, Kevin Lei, Catherine Hord, Aarti Patel, Anastasia Kaffenes, Harrshavasan Congivaram, Shaurya Prakash

Open access · goldAbstract readReview
In one paragraph

Review in Pharmaceuticals (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. High-throughput single-cell isolation ofMicrobiology spectrum · 2026
    Article
  5. Review
  6. Article
  7. 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

8 authors at 2 institutions in 1 country.

Fraser DanielDepartment of Mechanical and Aerospace Engineering, College of Engineering, The Ohio State University, Columbus, OH 43210, USA.
Delaney KestersonCenter for Life Sciences Education, The Ohio State University, Columbus, OH 43210, USA.
Kevin LeiDepartment of Chemical and Biomolecular Engineering, College of Engineering, The Ohio State University, Columbus, OH 43210, USA.
Catherine HordCenter for Life Sciences Education, The Ohio State University, Columbus, OH 43210, USA.
Aarti PatelDepartment of Biomedical Engineering, College of Engineering, The Ohio State University, Columbus, OH 43210, USA.
Anastasia KaffenesDepartment of Neuroscience, College of Arts and Sciences and College of Medicine, The Ohio State University, Columbus, OH 43210, USA.
Harrshavasan CongivaramSchool of Health and Rehabilitation Sciences, College of Medicine, The Ohio State University, Columbus, OH 43210, USA.
Shaurya PrakashDepartment of Mechanical and Aerospace Engineering, College of Engineering, The Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0002-5263-0843
The Ohio State University · USFlorida State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial infections continue to pose serious public health challenges. Though anti-bacterial therapeutics are effective remedies for treating these infections, the emergence of antibiotic resistance has imposed new challenges to treatment. Often, there is a delay in prescribing antibiotics at initial symptom presentation as it can be challenging to clinically differentiate bacterial infections from other organisms (e.g., viruses) causing infection. Moreover, bacterial infections can arise from food, water, or other sources. These challenges have demonstrated the need for rapid identification of bacteria in liquids, food, clinical spaces, and other environments. Conventional methods of bacterial identification rely on culture-based approaches which require long processing times and higher pathogen concentration thresholds. In the past few years, microfluidic devices paired with various bacterial identification methods have garnered attention for addressing the limitations of conventional methods and demonstrating feasibility for rapid bacterial identification with lower biomass thresholds. However, such culture-free methods often require integration of multiple steps from sample preparation to measurement. Research interest in using microfluidic methods for bacterial identification is growing; therefore, this review article is a summary of current advancements in this field with a focus on comparing the efficacy of polymerase chain reaction (PCR), loop-mediated isothermal amplification (LAMP), and emerging spectroscopic methods.

Indexed as

bacterial identificationloop-mediated isothermal amplification (LAMP)matrix-assisted laser deposition/ionization mass spectroscopy (MALDI-ToF MS)microfluidicspolymerase chain reaction (PCR)raman spectroscopy

Identifiers

PMID36558982
PMCPMC9781190
OpenAlexW4311975085

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.