ReviewMedical microbiology and immunology2020
A review on impedimetric immunosensors for pathogen and biomarker detection.
Review in Medical microbiology and immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 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
57 citing papers in PubMed, 174 citations in OpenAlex.
- Electrochemical and optical biosensors as transformative tools for multiplex detection of influenza viruses.Archives of microbiology · 2026Review
- Advances in methods for rapid detection of Staphylococcus aureus and methicillin-resistant S. aureus.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2025Review
- Article
- Review
- Recent developments in waterborne pathogen detection technologies.Environmental monitoring and assessment · 2025Review
- Microfluidics for the biological analysis of atmospheric ice-nucleating particles: Perspectives and challenges.Biomicrofluidics · 2025Review
- Exploring the advances of biosensing technology for the detection of plant pathogens in sustainable agriculture.Frontiers in bioengineering and biotechnology · 2025Review
- From isolation to detection, advancing insights into endothelial matrix-bound vesicles.Extracellular vesicle · 2024Article
- APPROACH: Sensitive Detection of Exosomal Biomarkers by Aptamer-Mediated Proximity Ligation Assay and Time-Resolved Förster Resonance Energy Transfer.Biosensors · 2024Article
- Pre-enrichment-free detection of hepatocellular carcinoma-specific ctDNA via PDMS and MEMS-based microfluidic sensor.Mikrochimica acta · 2024Article
- Tracking of Bacteriophage Predation onSensors (Basel, Switzerland) · 2024Article
- Research on Key Technologies of Microarray Chips for Detecting Drug-Resistant Genes inMicromachines · 2024Article
- Current and Future Technologies for the Detection of Antibiotic-Resistant Bacteria.Diagnostics (Basel, Switzerland) · 2023Review
- Impedimetric immunosensor for microalbuminuria based on a WSMikrochimica acta · 2023Article
- Nanostructured biosensing platforms for the detection of food- and water-borne pathogenic Escherichia coli.Analytical and bioanalytical chemistry · 2023Review
- Ultrasensitive and Rapid Visual Detection ofBiosensors · 2023Article
- Novel Sensitive Electrochemical Immunosensor Development for the Selective Detection of HopQBiosensors · 2023Article
- Conventional and advanced detection techniques of foodborne pathogens: A comprehensive review.Heliyon · 2023Article
- Metal-Organic Frameworks as Sensors for Human Amyloid Diseases.ACS sensors · 2023Review
- Reduced Graphene Oxide-Polydopamine-Gold Nanoparticles: A Ternary Nanocomposite-Based Electrochemical Genosensor for Rapid and EarlyBiosensors · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
Since the discovery of antibiotics in the first quarter of the twentieth century, their use has been the principal approach to treat bacterial infection. Modernized medicine such as cancer therapy, organ transplantation or advanced major surgeries require effective antibiotics to manage bacterial infections. However, the irresponsible use of antibiotics along with the lack of development has led to the emergence of antimicrobial resistance which is considered a serious global threat due to the rise of multidrug-resistant bacteria (Wang et al. in Antibiotic resistance: a rundown of a global crisis, pp. 1645-1658, 2018). Currently employed diagnostics techniques are microscopy, colony counting, ELISA, PCR, RT-PCR, surface-enhanced Raman scattering and others. These techniques provide satisfactory selectivity and sensitivity (Joung et al. in Sens Actuators B Chem 161:824-831, 2012). Nevertheless, they demand specialized personnel and expensive and sophisticated machinery which can be labour-intensive and time-consuming, (Malvano et al. in Sensors (Switzerland) 18:1-11, 2018; Mantzila et al. in Anal Chem 80:1169-1175, 2008). To get around these problems, new technologies such as biosensing and lab-on-a-chip devices have emerged in the last two decades. Impedimetric immunosensors function by applying electrochemical impedance spectroscopy to a biosensor platform using antibodies or other affinity proteins such as Affimers (Tiede et al. in Elife 6(c):1-35, 2017) or other binding proteins (Weiss et al. in Electrochim Acta 50:4248-4256, 2005) as bioreceptors, which provide excellent sensitivity and selectivity. Pre-enrichment steps are not required and this allows miniaturization and low-cost. In this review different types of impedimetric immunosensors are reported according to the type of electrode and their base layer materials, either self-assembled monolayers or polymeric layers, composition and functionalization for different types of bacteria, viruses, fungi and disease biomarkers. Additionally, novel protein scaffolds, both antibody derived and non-antibody derived, used to specifically target the analyte are considered.
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.