ReviewBiosensors2023
Progress in Fluorescence Biosensing and Food Safety towards Point-of-Detection (PoD) System.
Review in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 36 citations in OpenAlex.
- Sensitive detection of unopposed estrogen using estrogen receptor functionalized nanoprobes for cancer diagnosis.Discover nano · 2026Review
- Advances in Zn-MOF-Based Materials for Electrochemical and Fluorescence Sensing Applications.Sensors (Basel, Switzerland) · 2026Review
- From conventional to biosensor-based detection ofFood and waterborne parasitology · 2026Review
- Article
- Portable electrochemical impedance biosensing with DRT-enabled machine learning for detectingFrontiers in artificial intelligence · 2026Article
- Deep Learning-Driven Intelligent Fluorescent Probes: Advancements in Molecular Design for Accurate Food Safety Detection.Foods (Basel, Switzerland) · 2025Review
- Fluorescent/colorimetric dual-mode for detecting of MC-LR using bidirectional RCA coupled with CdTe QDs.Mikrochimica acta · 2025Article
- Review
- Advances in Computer Vision and Spectroscopy Techniques for Non-Destructive Quality Assessment ofFoods (Basel, Switzerland) · 2025Review
- Advancing foodborne pathogen detection: a review of traditional and innovative optical and electrochemical biosensing approaches.Mikrochimica acta · 2025Review
- Article
- Recent advances in microfluidic-based spectroscopic approaches for pathogen detection.Biomicrofluidics · 2024Review
- Review
- Recent Progresses in Optical Biosensors for Interleukin 6 Detection.Biosensors · 2023Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
The detection of pathogens in food substances is of crucial concern for public health and for the safety of the natural environment. Nanomaterials, with their high sensitivity and selectivity have an edge over conventional organic dyes in fluorescent-based detection methods. Advances in microfluidic technology in biosensors have taken place to meet the user criteria of sensitive, inexpensive, user-friendly, and quick detection. In this review, we have summarized the use of fluorescence-based nanomaterials and the latest research approaches towards integrated biosensors, including microsystems containing fluorescence-based detection, various model systems with nano materials, DNA probes, and antibodies. Paper-based lateral-flow test strips and microchips as well as the most-used trapping components are also reviewed, and the possibility of their performance in portable devices evaluated. We also present a current market-available portable system which was developed for food screening and highlight the future direction for the development of fluorescence-based systems for on-site detection and stratification of common foodborne pathogens.
Indexed as
Identifiers
What Socratic 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 Socratic graph.