Evaluation of an Electrochemiluminescence Assay for the Rapid Detection of Abrin Toxin.

Health Secur

Christine A. Pillai and Gowri Manickam, PhD, are ORISE Fellow Research Scientists; Nagarajan Thirunavukkarasu, PhD, is a Microbiologist; and Shashi Sharma, PhD, is Principal Investigator; all at the Center for Food Safety and Applied Nutrition, Molecular Methods Development Branch, Division of Microbiology, Office of Regulatory Science, US Food and Drug Administration, College Park, MD. Segaran P. Pillai, PhD, FAAM, SM(NRCM), SM(ASCP), is Director, Office of Laboratory Science and Safety, Office of the Commissioner, US Food and Drug Administration, Silver Spring, MD. Stephen A. Morse, PhD, MSPH, is Senior Advisor, CDC Division of Select Agents and Toxins, IHRC, Inc., Atlanta, GA. Julie R. Avila, MS, is Scientific Associate, Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory, Livermore, CA. David R. Hodge, PhD, and Kevin Anderson, PhD, are Program Managers; both in the Science and Technology Directorate, US Department of Homeland Security, Washington, DC.

Published: October 2021

In this article, we detail a comprehensive laboratory evaluation of an immunoassay for the rapid detection of abrin using the Meso Scale Diagnostics Sector PR2 Model 1800. For the assay evaluation, we used inclusivity and exclusivity panels comprised of extracts of 11 cultivars and 35 near-neighbor plants, 65 lectins, 26 white powders, 11 closely related toxins and proteins, and a pool of 30 BioWatch filter extracts. The results show that the Meso Scale Diagnostics abrin detection assay exhibits good sensitivity and specificity with a limit of detection of 4 ng/mL. However, the dynamic range of the assay for the quantitation of abrin was limited. We observed a hook effect at higher abrin concentrations, which can lead to potential false negative results. A modification of the assay protocol that incorporates extra wash steps can decrease the hook effect and the potential for false negative results.

Download full-text PDF

Source
http://dx.doi.org/10.1089/hs.2020.0102DOI Listing

Publication Analysis

Top Keywords

rapid detection
8
detection abrin
8
meso scale
8
scale diagnostics
8
potential false
8
false negative
8
assay
5
abrin
5
evaluation electrochemiluminescence
4
electrochemiluminescence assay
4

Similar Publications

Rationale: Wildlife scientists are quantifying steroid hormones in a growing number of tissues and employing novel methods that must undergo validation before application. This study tested the accuracy and precision of liquid chromatography-tandem mass spectrometry (LC-MS/MS) methods for use on blubber samples from short-finned pilot whales (Globicephala macrorhynchus). We expanded upon a method for corticosteroid quantification by adding analytes and optimizing internal standard (IS) application.

View Article and Find Full Text PDF
Article Synopsis
  • The increasing use of connected devices in smart homes has heightened security risks, particularly from Man-in-the-Middle (MitM) attacks, which can go undetected.
  • Traditional security methods struggle to manage these complex threats, highlighting the need for more advanced intrusion detection systems.
  • The AEXB Model, a hybrid deep learning approach combining AutoEncoder for feature extraction and XGBoost for classification, achieves 97.24% accuracy in detecting MitM attacks, while also enabling real-time threat responses and continuous protection.
View Article and Find Full Text PDF

Coupling interactions between the alpha (α) subunit of the polymerase III core (α-Pol III core) and the tau (τ) subunit of the clamp loader complex (τ-CLC) are vital for efficient and rapid DNA replication in Escherichia coli (E. coli). Specific and targeted mutations in the C-terminal τ-interaction region of the Pol III α-subunit disrupted efficient coupled rolling circle DNA synthesis in vitro and caused significant genomic defects in CRISPR-Cas9 dnaE edited cell strains.

View Article and Find Full Text PDF

Kan-AAE-driven synthetic SERS spectra generation method for Precise cancer identification.

Spectrochim Acta A Mol Biomol Spectrosc

January 2025

School of Opto-Electronic and Communication Engineering, Xiamen University of Technology, Xiamen, China. Electronic address:

Surface-Enhanced Raman Spectroscopy (SERS) is gaining popularity in cancer detection studies because it offers a non-invasive and rapid approach. Label-free SERS detection techniques often needs machine learning, which depends on adequate data for training. The scarcity of blood serum samples from cancer patients, due to challenges in collection linked to confidentiality concerns and other restrictions, can result in model overfitting and poor generalization ability.

View Article and Find Full Text PDF

Beta - stimulant, that is, β - adrenergic stimulant, also known as β - agonists, is bioactive catecholamine compounds naturally produced in animals' adrenal medulla glands that induce relaxation in asthmatic airway smooth muscles upon inhalation while also temporarily boosting athletic alertness and alleviating fatigue. However, their potential for dependency poses health risks including unnoticed exacerbation leading to severe illness or fatality prompting their inclusion on WADA's prohibited substances list. Surface - enhanced Raman spectroscopy (SERS) offers a rapid, sensitive, and label - free means for identifying characteristic peaks associated with β - agonist compounds.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!