Evidence map›Paper›PMID 42008182›Full record

ReviewArchives of microbiology2026

CRISPR-based tools in food safety and microbiology: applications for pathogen detection and control.

Fatima Azhar, Bi Bi Zainab Mazhari, Mohamed N Ibrahim, Awadh Alanazi, Fakhar Islam

Abstract readReview
PubMed Publisher
In one paragraph

Review in Archives of microbiology, 2026. 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.

Fatima AzharNur Institute of Food Science, Nur International University, Lahore, Pakistan.
Bi Bi Zainab MazhariDepartment of Clinical Laboratory Science, College of Applied Medical Sciences, Jouf University, Al-Qurayyat, Saudi Arabia.
Mohamed N IbrahimDepartment of Clinical Laboratory Science, College of Applied Medical Sciences, Jouf University, Al-Qurayyat, Saudi Arabia.
Awadh AlanaziDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Jouf University, Sakaka, Saudi Arabia.
Fakhar IslamNur Institute of Food Science, Nur International University, Lahore, Pakistan. fakhar.ft440@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Foodborne diseases have continued to pose serious health and economic challenges worldwide, especially in low- and middle-income countries with weak food safety systems. The traditional forms of detection are effective but time-consuming and laborious, and may not be suitable for quick on-site use. In this regard, CRISPR-Cas technology has become a revolutionary technology in food safety because it is highly specific, sensitive and programmable. This is a review of CRISPR-based applications in food microbiology, with an emphasis on rapid pathogen detection methods and targeted microbial control. Recent diagnostic advances in CRISPR-based diagnostics, such as the addition of isothermal amplification, lateral flow assays, and biosensing platforms, have demonstrated fast, portable, and cost-effective methods for detecting foodborne pathogens. Also, CRISPR-mediated antimicrobial interventions, including programmed bacteriophages and gene targeting, provide effective control of pathogens and antimicrobial resistance. Notably, this review also discusses the comparative advantages of various Cas systems (Cas9, Cas12, Cas13), their industrial potential, and future opportunities to integrate them with smart technologies (artificial intelligence and IoT-based monitoring systems). In summary, CRISPR technologies are a next-generation approach to real-time, accurate, and sustainable food quality management. They are well-positioned to operate at an industrial scale, despite current regulatory and standardisation issues.

Indexed as

BacteriaClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsFoodborne DiseasesFood MicrobiologyFood SafetyBiosensing TechniquesHumansAntimicrobial resistanceBiosensorsCRISPR-Cas systemsFood microbiologyFood safetyIsothermal amplificationLateral flow assaysPathogen detectionSmart food systems

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.