Evidence map›Paper›PMID 40425868›Full record

ArticleAnalytical and bioanalytical chemistry2025

Genetic engineering of bacteriophage S16 for Salmonella separation, concentration, and detection.

Ranee K Anderson, Sam R Nugen

Abstract read
PubMed Publisher
In one paragraph

Article in Analytical and bioanalytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Ranee K AndersonDepartment of Food Science, Cornell University, Ithaca, NY, 14853, USA.ORCID http://orcid.org/0009-0004-0607-6628
Sam R NugenDepartment of Food Science, Cornell University, Ithaca, NY, 14853, USA. snugen@cornell.edu.ORCID http://orcid.org/0000-0003-3638-1776

Funding

Accelerating phage evolution and tools via synthetic biology and machine learningR01EB027895 · NIBIB · CORNELL UNIVERSITY · PI NUGEN, SAM R · 2019 to 2024
$2.6M
National Institute of Food and Agriculture 2021-67021-33997NIBIB NIH HHS R01EB027895
6 · The paper itself

Abstract

Salmonella contamination in food and water poses a major global health risk, creating an urgent need for rapid, reliable, and cost-effective detection methods. Conventional approaches are often expensive, labor-intensive, and time-consuming, and they frequently yield inconclusive or presumptive positive results. A significant bottleneck to rapid detection is the need to separate the target bacteria into smaller, clean, and concentrated samples. Bacteriophages can recognize, bind, and infect specific bacterial hosts. This study presents a genetically engineered S16 Salmonella-specific bacteriophage as a biosensor, optimized for enhanced sensitivity and efficiency in detecting Salmonella. Using CRISPR-Cas12a, the phages were engineered to include a gene for a NanoLuc luciferase reporter and a monomeric streptavidin (mSA) affinity tag fused to the gene for the capsid protein Soc. This design enabled conjugation of the phages to magnetic nanoparticles, facilitating the capture, concentration, and detection of Salmonella from 10 mL water samples. The modified S16 phage exhibited a detection limit of fewer than 10 CFU of Salmonella in 10 mL of water within a typical work shift. This innovative phage-based detection method offers a promising tool for enhancing food and water safety by providing a faster, more sensitive, and cost-effective approach to pathogen monitoring of Salmonella enterica subsp. enterica serovar Typhimurium.

Indexed as

BacteriophagesBiosensing TechniquesGenetic EngineeringSalmonellaSalmonella PhagesSalmonella typhimuriumCRISPR-Cas SystemsFood MicrobiologyLimit of DetectionWater MicrobiologyBacteriophageBiosensorFood safetyGenetic engineeringSalmonellaWater safety

Identifiers

What Socratic 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 Socratic graph.