Evidence map›Paper›PMID 39739646›Full record

ArticlePloS one2024

A drop dispenser for simplifying on-farm detection of foodborne pathogens.

Mohsen Ranjbaran, Simerdeep Kaur, Jiangshan Wang, Bibek Raut, Mohit S Verma

Abstract read
In one paragraph

Article in PloS one, 2024. 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

5 authors.

Mohsen RanjbaranDepartment of Agricultural and Biological Engineering, Purdue University, West Lafayette, Indiana, United States of America.
Simerdeep KaurDepartment of Agricultural and Biological Engineering, Purdue University, West Lafayette, Indiana, United States of America.
Jiangshan WangDepartment of Agricultural and Biological Engineering, Purdue University, West Lafayette, Indiana, United States of America.ORCID 0000-0002-2620-8411
Bibek RautWeldon School of Biomedical Engineering, Purdue University, West Lafayette, Indiana, United States of America.
Mohit S VermaDepartment of Agricultural and Biological Engineering, Purdue University, West Lafayette, Indiana, United States of America.ORCID 0000-0002-6374-3333

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nucleic-acid biosensors have emerged as useful tools for on-farm detection of foodborne pathogens on fresh produce. Such tools are specifically designed to be user-friendly so that a producer can operate them with minimal training and in a few simple steps. However, one challenge in the deployment of these biosensors is delivering precise sample volumes to the biosensor's reaction sites. To address this challenge, we developed an innovative drop dispenser using advanced 3D printing technology, combined with a hydrophilic surface chemistry treatment. This dispenser enables the generation of precise sample drops, containing DNA or bacterial samples, in volumes as small as a few micro-liters (∼20 to ∼33 μL). The drop generator was tested over an extended period to assess its durability and usability over time. The results indicated that the drop dispensers have a shelf life of approximately one month. In addition, the device was rigorously validated for nucleic acid testing, specifically by using loop-mediated isothermal amplification (LAMP) for the detection of Escherichia coli O157, a prevalent foodborne pathogen. To simulate real-world conditions, we tested the drop dispensers by integrating them into an on-farm sample collection system, ensuring they deliver samples accurately and consistently for nucleic acid testing in the field. Our results demonstrated similar performance to commercial pipettors in LAMP assays, with a limit of detection of 7.8×106 cells/mL for whole-cell detection. This combination of precision, ease of use, and durability make our drop dispenser a promising tool for enhancing the effectiveness of nucleic acid biosensors in the field.

Indexed as

Biosensing TechniquesEscherichia coli O157Food MicrobiologyDNA, BacterialFarmsFoodborne DiseasesMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesPrinting, Three-DimensionalDNA, Bacterial

Identifiers

PMID39739646
PMCPMC11687705

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.