ReviewMaterials (Basel, Switzerland)2015
Recent Progress in Lectin-Based Biosensors.
Review in Materials (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 54 citations in OpenAlex.
- A comprehensive review of transduction methods of lectin-based biosensors in biomedical applications.Heliyon · 2024Review
- Mannose-specific plant and microbial lectins as antiviral agents: A review.Glycoconjugate journal · 2024Review
- Article
- A lectin-coupled porous silicon-based biosensor: label-free optical detection of bacteria in a real-time mode.Scientific reports · 2020Article
- Glycoprotein- and Lectin-Based Approaches for Detection of Pathogens.Pathogens (Basel, Switzerland) · 2020Review
- SNAPS: Sensor Analytics Point Solutions for Detection and Decision Support Systems.Sensors (Basel, Switzerland) · 2019Review
- Coupling Self-Assembly Mechanisms to Fabricate Molecularly and Electrically Responsive Films.Biomacromolecules · 2019Article
- Host-Guest Chemistry in Layer-by-Layer Assemblies Containing Calix[n]arenes and Cucurbit[n]urils: A Review.Polymers · 2018Review
- Recent Progress in Nanomaterial-Based Electrochemical Biosensors for Cancer Biomarkers: A Review.Molecules (Basel, Switzerland) · 2017Review
- Sol-Gel Synthesis of Carbon Xerogel-ZnO Composite for Detection of Catechol.Materials (Basel, Switzerland) · 2016Article
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 at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article reviews recent progress in the development of lectin-based biosensors used for the determination of glucose, pathogenic bacteria and toxins, cancer cells, and lectins. Lectin proteins have been widely used for the construction of optical and electrochemical biosensors by exploiting the specific binding affinity to carbohydrates. Among lectin proteins, concanavalin A (Con A) is most frequently used for this purpose as glucose- and mannose-selective lectin. Con A is useful for immobilizing enzymes including glucose oxidase (GOx) and horseradish peroxidase (HRP) on the surface of a solid support to construct glucose and hydrogen peroxide sensors, because these enzymes are covered with intrinsic hydrocarbon chains. Con A-modified electrodes can be used as biosensors sensitive to glucose, cancer cells, and pathogenic bacteria covered with hydrocarbon chains. The target substrates are selectively adsorbed to the surface of Con A-modified electrodes through strong affinity of Con A to hydrocarbon chains. A recent topic in the development of lectin-based biosensors is a successful use of nanomaterials, such as metal nanoparticles and carbon nanotubes, for amplifying output signals of the sensors. In addition, lectin-based biosensors are useful for studying glycan expression on living cells.
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.