ReviewSensors (Basel, Switzerland)2017
Detection Methodologies for Pathogen and Toxins: A Review.
Review in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05765396 (SARS-CoV-2/COVID-19 Study of Next Generation Non-Invasive Passive Detection Technologies), which is not on this map. Cited by 51 papers.
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.
SARS-CoV-2/COVID-19 Study of Next Generation Non-Invasive Passive Detection Technologies
Who cites it
51 citing papers in PubMed.
- Meat-Borne Bacterial Pathogen Detection: Conventional, Molecular and Emerging AI-Based Strategies.Diagnostics (Basel, Switzerland) · 2026Review
- Analytical Performance of Nanobody-Based Immunoassay and Immunosensing Platforms for Bacteria and Toxin Detection: A Systematic Review.Antibodies (Basel, Switzerland) · 2026Review
- Fluorescence Transduction of Liquid Crystal Ordering Transitions for Biosensing.Journal of the American Chemical Society · 2026Article
- Advancing Medical Diagnostics: Rapid, Label-Free Detection and Differentiation of Shiga Toxin Variants in Human Serum Using a Cost-Effective PCA-Assisted SERS Platform.ACS applied materials & interfaces · 2025Article
- Advances in Food Quality Management Driven by Industry 4.0: A Systematic Review-Based Framework.Foods (Basel, Switzerland) · 2025Review
- Antibody-based alternatives to animal testing for toxin detection and antitoxin evaluation.Frontiers in toxicology · 2025Review
- Review
- Analytical methods for determining environmental contaminants of concern in water and wastewater.MethodsX · 2024Article
- The Development of a Specific Nanofiber Bioreceptor for Detection ofBiosensors · 2024Article
- Development of graphene oxide-based biosensing platforms for label-free bioelectronic detection of pathogenic microorganisms.Turkish journal of chemistry · 2024Article
- Performance of Classification Models of Toxins Based on Raman Spectroscopy Using Machine Learning Algorithms.Molecules (Basel, Switzerland) · 2023Article
- An experimental comparison between primer and nucleotide labelling to produce RPA-amplicons used for multiplex detection of antibiotic resistance genes.Scientific reports · 2023Article
- Recent Advances of Biosensors for Detection of Multiple Antibiotics.Biosensors · 2023Review
- Reference-Free Plant Disease Detection Using Machine Learning and Long-Read Metagenomic Sequencing.Applied and environmental microbiology · 2023Article
- Conventional and advanced detection techniques of foodborne pathogens: A comprehensive review.Heliyon · 2023Article
- Direct Identification of Label-Free Gram-Negative Bacteria with Bioreceptor-Free Concentric Interdigitated Electrodes.Biosensors · 2023Article
- Highly-Sensitive, Label-Free Detection of Microorganisms and Viruses via Interferometric Reflectance Imaging Sensor.Micromachines · 2023Review
- Review
- Immunosensors-The Future of Pathogen Real-Time Detection.Sensors (Basel, Switzerland) · 2022Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pathogen and toxin-contaminated foods and beverages are a major source of illnesses, even death, and have a significant economic impact worldwide. Human health is always under a potential threat, including from biological warfare, due to these dangerous pathogens. The agricultural and food production chain consists of many steps such as harvesting, handling, processing, packaging, storage, distribution, preparation, and consumption. Each step is susceptible to threats of environmental contamination or failure to safeguard the processes. The production process can be controlled in the food and agricultural sector, where smart sensors can play a major role, ensuring greater food quality and safety by low cost, fast, reliable, and profitable methods of detection. Techniques for the detection of pathogens and toxins may vary in cost, size, and specificity, speed of response, sensitivity, and precision. Smart sensors can detect, analyse and quantify at molecular levels contents of different biological origin and ensure quality of foods against spiking with pesticides, fertilizers, dioxin, modified organisms, anti-nutrients, allergens, drugs and so on. This paper reviews different methodologies to detect pathogens and toxins in foods and beverages.
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What OpenQuestion holds
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.