Literature DB >> 24928113

Development and validation of an ELISA kit for the detection of ricin toxins from biological specimens and environmental samples.

Hsiao Ying Chen1, Hung Tran, Ling Yann Foo, Tracey Wenhui Sew, Weng Keong Loke.   

Abstract

Ricin is a toxin that can be easily extracted from seeds of Ricinus communis plants. Ricin is considered to be a major bio-threat as it can be freely and easily acquired in large quantities. A deliberate release of such toxin in civilian populations would very likely overwhelm existing public health systems, resulting in public fear and social unrest. There is currently no commercially available or FDA-approved prophylaxis such as vaccines, or therapeutic antitoxins or antidotes, available for ricin intoxication. Patient treatment is typically supportive care based on symptoms, often designed to reinforce the body's natural response. This paper describes the development and validation of a robust ELISA test kit, which can be used to screen for ricin in biological specimens such as whole blood and faeces. Faecal specimens are shown in this study to have better diagnostic sensitivity and a wider diagnostic window compared to whole blood. From these results, it is concluded that faeces is the most suitable clinical specimen for diagnosis of ricin poisoning via the oral route. The ELISA test kit can also detect ricin in environmental samples. An advantage of this ELISA kit over other commercial off-the-shelf (COTS) detection kits currently on the market that are developed to screen environmental samples only is its ability to diagnose ricin poisoning from clinical specimens as well as detect ricin from environmental samples.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24928113     DOI: 10.1007/s00216-014-7934-1

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  4 in total

1.  A Self-Driven Microfluidic Chip for Ricin and Abrin Detection.

Authors:  Xuexin Bai; Chenyi Hu; Liang Chen; Jing Wang; Yanwei Li; Wei Wan; Zhiying Jin; Yue Li; Wenwen Xin; Lin Kang; Han Jin; Hao Yang; Jinglin Wang; Shan Gao
Journal:  Sensors (Basel)       Date:  2022-05-02       Impact factor: 3.847

2.  Multiple metabolic pathways are predictive of ricin intoxication in a rat model.

Authors:  Riccardo V D'Elia; Sarah A Goodchild; Catherine L Winder; Andrew D Southam; Ralf J M Weber; Fiona M Stahl; Cerys Docx; Vikesh Patel; A Christopher Green; Mark R Viant; Roman A Lukaszewski; Warwick B Dunn
Journal:  Metabolomics       Date:  2019-07-03       Impact factor: 4.290

3.  Combination of inverted pyramidal nanovoid with silver nanoparticles to obtain further enhancement and its detection for ricin.

Authors:  Meng Wang; Bin Wang; Shixuan Wu; Tingke Guo; Haoyu Li; Zhaoqing Guo; Junhua Wu; Peiyuan Jia; Yuxia Wang; Xiaoxuan Xu; Yufang Wang; Cunzhou Zhang
Journal:  Nanoscale Res Lett       Date:  2015-02-28       Impact factor: 4.703

4.  Rapid, Sensitive and Reliable Ricin Identification in Serum Samples Using LC-MS/MS.

Authors:  Liron Feldberg; Eytan Elhanany; Orly Laskar; Ofir Schuster
Journal:  Toxins (Basel)       Date:  2021-01-22       Impact factor: 4.546

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.