Evaluation of lateral flow assays for the detection of botulinum neurotoxin type A and their application in laboratory diagnosis of botulism

Gessler, Frank; Pagel-Wieder, Sibylle; Avondet, Marc-André; Böhnel, H.

doi:10.1016/j.diagmicrobio.2006.07.017

Cited by 68 publications

(50 citation statements)

References 26 publications

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“…However, the price for this ease of use is lower sensitivity compared to ELISA and other modern immunological methods. Typical limits of detection of lateral flow tests for BoNT employing detection antibody conjugated to gold nanoparticles range from 5 to 50 ng/mL (500-5,000 MLD 50 /mL) [89,90,91,92]. Despite this reduced sensitivity, some of these assays are commercially available [89,91].…”

Section: Lateral Flow Testsmentioning

confidence: 99%

“…Typical limits of detection of lateral flow tests for BoNT employing detection antibody conjugated to gold nanoparticles range from 5 to 50 ng/mL (500-5,000 MLD 50 /mL) [89,90,91,92]. Despite this reduced sensitivity, some of these assays are commercially available [89,91]. Successful detection of BoNT/A, B and E with lateral flow assay in a wide variety of food samples has been demonstrated, showing the importance of sample preparation and pre-treatment to increase assay reliability [89].…”

Section: Lateral Flow Testsmentioning

confidence: 99%

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Sensing the Deadliest Toxin: Technologies for Botulinum Neurotoxin Detection

Čapek

Dickerson

2010

Toxins

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Sensitive and rapid detection of botulinum neurotoxins (BoNTs), the most poisonous substances known to date, is essential for studies of medical applications of BoNTs and detection of poisoned food, as well as for response to potential bioterrorist threats. Currently, the most common method of BoNT detection is the mouse bioassay. While this assay is sensitive, it is slow, quite expensive, has limited throughput and requires sacrificing animals. Herein, we discuss and compare recently developed alternative in vitro detection methods and assess their ability to supplement or replace the mouse bioassay in the analysis of complex matrix samples.

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Section: Lateral Flow Testsmentioning

confidence: 99%

Section: Lateral Flow Testsmentioning

confidence: 99%

Sensing the Deadliest Toxin: Technologies for Botulinum Neurotoxin Detection

Čapek

Dickerson

2010

Toxins

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“…BioThreat Alert Ò Assays have previously been evaluated for the detection of other biothreat agents, including orthopoxviruses, 50 ricin, 33 abrin, 34 and Yersinia pestis. 51 Limited evaluations have also been conducted with LFAs for the detection of Francisella tularensis (unpublished data), botulinum neurotoxins, 52 and staphylococcal enterotoxins. 53 In an earlier study, King et al 54 detected 10 5 spores/mL of B. anthracis Pasteur strain using the Tetracore BTA LFA.…”

Section: Discussionmentioning

confidence: 99%

Comprehensive Laboratory Evaluation of a Highly Specific Lateral Flow Assay for the Presumptive Identification ofBacillus anthracisSpores in Suspicious White Powders and Environmental Samples

et al. 2016

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We conducted a comprehensive, multiphase laboratory evaluation of the Anthrax BioThreat Alert Ò test strip, a lateral flow immunoassay (LFA) for the rapid detection of Bacillus anthracis spores. The study, conducted at 2 sites, evaluated this assay for the detection of spores from the Ames and Sterne strains of B. anthracis, as well as those from an additional 22 strains. Phylogenetic near neighbors, environmental background organisms, white powders, and environmental samples were also tested. The Anthrax LFA demonstrated a limit of detection of about 10 6 spores/mL (ca. 1.5 · 10 5 spores/assay). In this study, overall sensitivity of the LFA was 99.3%, and the specificity was 98.6%. The results indicated that the specificity, sensitivity, limit of detection, dynamic range, and repeatability of the assay support its use in the field for the purpose of qualitatively evaluating suspicious white powders and environmental samples for the presumptive presence of B. anthracis spores.

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“…Sharma and co-workers evaluated two commercial products on spiked food samples and found detection limits of above 20 ng/mL for BoNT complexes of serotypes A, B, and E (Sharma et al 2005). Others reported that some commercial tests were unable to recognize the purified holotoxin but detected the toxin complexes only (Gessler et al 2007).…”

Section: Rapid Detection Tools Based On Elisa Formatsmentioning

confidence: 99%

Complexity of Botulinum Neurotoxins: Challenges for Detection Technology

Dorner

Schulz

Kull

et al. 2012

Current Topics in Microbiology and Immunology

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The detection of botulinum neurotoxins (BoNT) is extremely challenging due to their high toxicity and the multiple BoNT variants. To date, seven serotypes with more than 30 subtypes have been described, and even more subtypes are expected to be discovered. The fact that the BoNT molecules are released as large complexes of different size and composition adds further complexity to the issue. Currently, in the diagnostics of botulism, the mouse bioassay (MBA) is still considered as gold standard for the detection of BoNT in complex sample materials. Over the years, different functional, immunological, and spectrometric assays or combinations thereof have been developed, supplemented by DNA-based assays for the detection of the organism. In this review, advantages and limitations of the current technologies will be discussed, highlighting some of the intricacies of real sample analysis.

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Evaluation of lateral flow assays for the detection of botulinum neurotoxin type A and their application in laboratory diagnosis of botulism

Cited by 68 publications

References 26 publications

Sensing the Deadliest Toxin: Technologies for Botulinum Neurotoxin Detection

Sensing the Deadliest Toxin: Technologies for Botulinum Neurotoxin Detection

Comprehensive Laboratory Evaluation of a Highly Specific Lateral Flow Assay for the Presumptive Identification ofBacillus anthracisSpores in Suspicious White Powders and Environmental Samples

Complexity of Botulinum Neurotoxins: Challenges for Detection Technology

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