ReviewSmall (Weinheim an der Bergstrasse, Germany)2025
Design Principles of Nanosensors for Multiplex Detection of Contaminants in Food.
Review in Small (Weinheim an der Bergstrasse, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Utilization of nanosensors and nanomaterials to revolutionize the food industry: boosting product safety, quality, and sustainability.RSC advances · 2026Review
- A fluorous-phase oxygen optical nanosensor for mitigating redox-active microbial metabolite interference.The Analyst · 2026Article
- Emerging analytical technologies for detecting microplastics and nanoplastics in food: bridging challenges and innovations.Analytical and bioanalytical chemistry · 2026Review
- AI-driven routing and layered architectures for intelligent ICT in nanosensor networked systems.iScience · 2026Review
- Nanobiosensors for Single-Molecule Diagnostics: Toward Integration with Super-Resolution Imaging.Biosensors · 2025Review
- The Challenges and Opportunities of Protein Coronas for Nanoscale Biomolecular Sensing.Small (Weinheim an der Bergstrasse, Germany) · 2025Review
- Review
- Design Principles of Nanosensors for Multiplex Detection of Contaminants in Food.Small (Weinheim an der Bergstrasse, Germany) · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
The rapid and cost-effective detection of food contaminants such as toxins and pathogens is a major challenge and a key concern for food safety. To this end, innovative, fast, cost-effective, and easy-to-use sensors must be developed at the point where food is produced, distributed, and consumed. Therefore, timely detection and response to food contaminants can improve human health and reduce economic burden. However, affordable sensor technologies with specificity, sensitivity, and speed are required, which can be used by non-specialized personnel and enable high throughput analysis. In this respect, advances in the development of nanoparticle-based sensors, i.e., nanosensors, have shown the potential to provide the much-anticipated versatile sensors. In addition, multiplex detection, i.e., the ability to detect multiple targets simultaneously, is another strategy facilitated by nanoparticle-based sensors and will enable further improvements in sensor performance that are important for developing effective monitoring. This review summarizes the nanosensors for multiplex sensing of food samples with respect to hazardous contaminates reported over the past few years. In addition, special attention is paid to providing the reader with promising design principles and the current performance of the sensitivity and selectivity of such sensors for practical requirements, thereby inspiring new ideas for developing further advanced systems.
Indexed as
Identifiers
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.