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基于细胞的传感器检测生物毒素。

Biotoxin detection using cell-based sensors.

机构信息

Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, The University of Memphis, 338 Robison Hall, 3825 Desoto Avenue, Memphis, TN 38152, USA.

出版信息

Toxins (Basel). 2013 Nov 29;5(12):2366-83. doi: 10.3390/toxins5122366.

Abstract

Cell-based biosensors (CBBs) utilize the principles of cell-based assays (CBAs) by employing living cells for detection of different analytes from environment, food, clinical, or other sources. For toxin detection, CBBs are emerging as unique alternatives to other analytical methods. The main advantage of using CBBs for probing biotoxins and toxic agents is that CBBs respond to the toxic exposures in the manner related to actual physiologic responses of the vulnerable subjects. The results obtained from CBBs are based on the toxin-cell interactions, and therefore, reveal functional information (such as mode of action, toxic potency, bioavailability, target tissue or organ, etc.) about the toxin. CBBs incorporate both prokaryotic (bacteria) and eukaryotic (yeast, invertebrate and vertebrate) cells. To create CBB devices, living cells are directly integrated onto the biosensor platform. The sensors report the cellular responses upon exposures to toxins and the resulting cellular signals are transduced by secondary transducers generating optical or electrical signals outputs followed by appropriate read-outs. Examples of the layout and operation of cellular biosensors for detection of selected biotoxins are summarized.

摘要

基于细胞的生物传感器 (CBBs) 通过利用活细胞来检测来自环境、食品、临床或其他来源的不同分析物,利用基于细胞的测定法 (CBAs) 的原理。对于毒素检测,CBBs 作为其他分析方法的独特替代品正在出现。使用 CBBs 探测生物毒素和有毒剂的主要优势在于,CBBs 以与易受伤害的受试者的实际生理反应相关的方式对有毒暴露作出反应。从 CBBs 获得的结果基于毒素-细胞相互作用,因此,揭示了有关毒素的功能信息(例如作用模式、毒性效力、生物利用度、靶组织或器官等)。CBBs 结合了原核(细菌)和真核(酵母、无脊椎动物和脊椎动物)细胞。为了创建 CBB 设备,将活细胞直接集成到生物传感器平台上。传感器报告暴露于毒素后的细胞反应,并且次级传感器将产生光或电信号输出的细胞信号进行转导,然后进行适当的读取。总结了用于检测选定生物毒素的细胞生物传感器的布局和操作示例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/efe3/3873691/59be4ad22128/toxins-05-02366-g001.jpg

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