Suppr超能文献

肉毒神经毒素的复杂性:检测技术面临的挑战。

Complexity of botulinum neurotoxins: challenges for detection technology.

机构信息

Centre for Biological Security 3, Microbial Toxins, Robert Koch-Institut, Nordufer 20 13353 Berlin, Germany.

出版信息

Curr Top Microbiol Immunol. 2013;364:219-55. doi: 10.1007/978-3-642-33570-9_11.

Abstract

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.

摘要

由于其高毒性和多种肉毒神经毒素 (BoNT) 变体,肉毒梭菌神经毒素 (BoNT) 的检测极具挑战性。迄今为止,已描述了 7 种血清型,超过 30 种亚型,预计还会发现更多的亚型。BoNT 分子作为不同大小和组成的大型复合物释放出来,这使得问题更加复杂。目前,在肉毒梭菌中毒的诊断中,小鼠生物测定法 (MBA) 仍然被认为是检测复杂样品材料中 BoNT 的金标准。多年来,已经开发了不同功能、免疫和光谱测定法或其组合,并辅以基于 DNA 的检测方法来检测该生物体。在这篇综述中,将讨论当前技术的优缺点,强调一些实际样品分析的复杂性。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验