Evidence map›Paper›PMID 39738474›Full record

ArticleScientific reports2024

Rapid microcystin-LR detection using antibody-based electrochemical biosensors with a simplified calibration curve approach.

Samuel Adjei-Nimoh, Lance-Nicolas Rances, Maha A Tony, Hossam A Nabwey, Woo Hyoung Lee

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

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.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Samuel Adjei-NimohDepartment of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL, USA.
Lance-Nicolas RancesDepartment of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL, USA.
Maha A TonyAdvanced Materials/Solar Energy and Environmental Sustainability (AMSEES) Laboratory, Faculty of Engineering, Menoufia University, Shebin El-Kom, Egypt.
Hossam A NabweyDepartment of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, 11942, Al-Kharj , Saudi Arabia.
Woo Hyoung LeeDepartment of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, FL, USA. woohyoung.lee@ucf.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Harmful algal blooms (HABs) can release cyanotoxins such as microcystins (MCs), especially, microcystin-leucine-arginine (MC-LR) which is one of the commonest and most toxic, into our water bodies and can lead to several acute or chronic diseases such as liver diseases and respiratory irritation in humans. There is an increasing need for rapid and simple detection of MC-LR in water bodies for early warning of HABs. In this study, we developed an innovative on-site screening electrochemical impedance spectroscopy (EIS) biosensor with a simplified calibration curve that can rapidly detect blooms for early action in similar water bodies. The novel aspect of this research is that various chemical cleaning procedures and surface modifications were evaluated to improve the antibody-embedded electrochemical sensor performance. In addition, a simplified calibration curve was constructed from different water samples to reduce the need for frequent recalibration in practical applications. In this study, two distinct commercially available screen-printed carbon electrodes (SPCEs) were modified as a cost-effective substrate for MC-LR biosensing with anti-MC-LR/MC-LR/cysteamine-coating. The study showed that an appropriate cleaning procedure might minimize the sensor performance difference after each electrode modification. The biosensor showed excellent sensitivity toward MC-LR detection in lake water samples with a limit of detection (LOD) of 0.34 ngL

Indexed as

Biosensing TechniquesMarine ToxinsMicrocystinsAntibodiesCalibrationDielectric SpectroscopyElectrochemical TechniquesElectrodesHarmful Algal BloomLimit of DetectionAntibodiescyanoginosin LRMarine ToxinsMicrocystinsAntibodyBiosensorCyanotoxinsHarmful algal blooms (HABs)Microcystin-LRSimplified calibration curve

Identifiers

PMID39738474
PMCPMC11685771

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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.