ArticleBiosensors & bioelectronics2014
Nano-yeast-scFv probes on screen-printed gold electrodes for detection of Entamoeba histolytica antigens in a biological matrix.
Article in Biosensors & bioelectronics, 2014. 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, 41 citations in OpenAlex.
- Enhanced Stability and Sensitivity for CA-125 Detection Under Microfluidic Shear Flow Using Polyethylene Glycol-Coated Biosensor.ACS omega · 2025Article
- Engineering Saccharomyces cerevisiae for medical applications.Microbial cell factories · 2025Review
- Electrochemical biosensors for the detection of protozoan parasite: a scoping review.Pathogens and global health · 2024Article
- Toward waterborne protozoa detection using sensing technologies.Frontiers in microbiology · 2023Review
- Screen-Printed Electrodes (SPE) for In Vitro Diagnostic Purpose.Diagnostics (Basel, Switzerland) · 2020Review
- An electrochemical method for sensitive and rapid detection of FAM134B protein in colon cancer samples.Scientific reports · 2017Article
- Nanoyeast and Other Cell Envelope Compositions for Protein Studies and Biosensor Applications.ACS applied materials & interfaces · 2016Review
- Methodology for preservation of yeast-bound single chain fragment variable antibody affinity reagents.Journal of immunological methods · 2015Article
- Enhancing Protein Capture Using a Combination of Nanoyeast Single-Chain Fragment Affinity Reagents and Alternating Current Electrohydrodynamic Forces.Analytical chemistry · 2015Article
- Duplex microfluidic SERS detection of pathogen antigens with nanoyeast single-chain variable fragments.Analytical chemistry · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
The time and costs associated with monoclonal antibody production limit the potential for portable diagnostic devices to penetrate the market. Replacing the antibody with a low-cost alternate affinity reagent would reduce the costs of diagnostic development and use, and lead to new portable diagnostic devices towards many diseases. Herein, we present low-cost affinity reagents, nano-yeast-scFv, on commercially available, inexpensive, and portable screen-printed electrodes for the label-free electrochemical detection of Entamoeba histolytica cyst antigens. The biosensor was able to detect antigen at concentrations down to 10 pg mL(-1) in buffer with an inter-assay reproducibility of (% RSD, n=3) 4.1%. The applicability of two differently engineered nano-yeast-scFv to each specifically detect their cognant E. histolytica cyst antigens was demonstrated in a biological matrix derived from human stool. Because of the simple, inexpensive, and sensitive nature of this methodology, it may offer a low-cost alternative to immunosensors based on antibody-target recognition.
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.