ArticleHeliyon2023
Conventional and advanced detection techniques of foodborne pathogens: A comprehensive review.
Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 3 of them syntheses that pooled 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.
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.
Who cites it
64 citing papers in PubMed, 3 syntheses or guidelines pooled it, 173 citations in OpenAlex.
- Nanoparticles in influenza research: a bibliometric analysis of global trends (2005 - 2025).Frontiers in immunology · 2026Pooled it
- A systematic review and meta-analysis of antibiotic resistance of foodborne pathogenic bacteria.BMC infectious diseases · 2025Pooled it
- Pooled it
- Design and evaluation of a streamlined enrichment method for faster co-detection of enteric bacterial pathogens in natural soils and environmental samples.medRxiv : the preprint server for health sciences · 2026Article
- Discriminating Between Living and Dead Bacteria With a Field-Effect Transistor Based on Nano-Channels.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- Optical-acoustic resonance fingerprinting of food-matrix perturbations in a phoxonic defect cavity.Scientific reports · 2026Article
- Rapid detection ofMicrobiology spectrum · 2026Article
- Advances in Foodborne Pathogen Detection: From Conventional Confirmation to Integrated and Intelligent Platforms.Foods (Basel, Switzerland) · 2026Review
- Development of a green and sustainable rice husk nanosilica-based spectrophotometric probe for dual detection of Ag(i) and Fe(iii) in environmental and E-waste matrices.RSC advances · 2026Article
- Understanding hemolysin: from bacterial toxin to emerging treatments.Archives of microbiology · 2026Review
- Carbohydrate-based biosensors for enhanced pathogen detection.Analytical and bioanalytical chemistry · 2026Review
- Biosensing technologies for foodborne pathogen detection and healthcare: principles, emerging materials, and intelligent platforms.Mikrochimica acta · 2026Review
- Review
- Zirconium-based metal-organic frameworks for pathogen detection.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026Review
- Portable electrochemical impedance biosensing with DRT-enabled machine learning for detectingFrontiers in artificial intelligence · 2026Article
- Microbial Ecology at the Nexus of Food Safety and Biotechnology With Ecological Mechanisms, Risks, and Emerging Innovations.International journal of food science · 2026Review
- Portable Lab for Shipping (POLS): A Biosensor-Based System for Rapid Onboard Detection ofMicroorganisms · 2025Article
- Microbial pathogens of edible insects: a growing problem for the insect farming industry.Emerging topics in life sciences · 2025Review
- Advances of MXene in Detection and Sterilization of Foodborne Pathogens.Foods (Basel, Switzerland) · 2025Review
- Machine Learning-Assisted SERS Platform for Rapid and Quantitative Discrimination of Shiga Toxin-ProducingBiosensors · 2025Article
4 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Foodborne pathogens are a major public health concern and have a significant economic impact globally. From harvesting to consumption stages, food is generally contaminated by viruses, parasites, and bacteria, which causes foodborne diseases such as hemorrhagic colitis, hemolytic uremic syndrome (HUS), typhoid, acute, gastroenteritis, diarrhea, and thrombotic thrombocytopenic purpura (TTP). Hence, early detection of foodborne pathogenic microbes is essential to ensure a safe food supply and to prevent foodborne diseases. The identification of foodborne pathogens is associated with conventional (e.g., culture-based, biochemical test-based, immunological-based, and nucleic acid-based methods) and advances (e.g., hybridization-based, array-based, spectroscopy-based, and biosensor-based process) techniques. For industrial food applications, detection methods could meet parameters such as accuracy level, efficiency, quickness, specificity, sensitivity, and non-labor intensive. This review provides an overview of conventional and advanced techniques used to detect foodborne pathogens over the years. Therefore, the scientific community, policymakers, and food and agriculture industries can choose an appropriate method for better results.
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Registered trials
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.