Evidence map›Paper›PMID 39235737›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Application of MinION Long-Read Sequencer for Semi-targeted Detection of Foodborne Pathogens.

Alexandre Lamas, Ana Costa-Ribeiro, Alejandro Garrido-Maestu

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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

3 authors.

Alexandre LamasFood Hygiene, Inspection and Control Laboratory, Department of Analytical Chemistry, Nutrition and Bromatology, Campus Terra, University of Santiago de Compostela, Santiago de Compostela, Spain.
Ana Costa-RibeiroFood Quality and Safety Research Group, International Iberian Nanotechnology Laboratory, Braga, Portugal.
Alejandro Garrido-MaestuInternational Iberian Nanotechnology Laboratory, Department of Life Sciences, Food Quality and Safety Research Group, Braga, Portugal. alejandro.garrido@inl.int.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Foodborne pathogens remain a serious health issue in developed and developing countries. Safeness of food products has been assured for years with culture-based microbiological methods; however, these present several limitations such as turnaround time and extensive hands-on work, which have been typically address taking advantage of DNA-based methods such as real-time PCR (qPCR). These, and other similar techniques, are targeted assays, meaning that they are directed for the specific detection of one specific microbe. Even though reliable, this approach suffers from an important limitation that unless specific assays are design for every single pathogen potentially present, foods may be considered erroneously safe. To address this problem, next-generation sequencing (NGS) can be used as this is a nontargeted method; thus it has the capacity to detect every potential threat present. In this chapter, a protocol for the simultaneous detection and preliminary serotyping of Salmonella enterica serovar Enteritidis, Salmonella enterica serovar Typhimurium, Listeria monocytogenes, and Escherichia coli O157:H7 is described.

Indexed as

Foodborne DiseasesFood MicrobiologyHigh-Throughput Nucleotide SequencingListeria monocytogenesDNA, BacterialEscherichia coli O157HumansSalmonella typhimuriumSerotypingDNA, BacterialEscherichia coli O157:H7FlongleL. monocytogenesMinIONMultiplex detectionSalmonella spp.

Identifiers

What OpenQuestion holds

Textmetadata
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.