Ligler Frances S, Sapsford Kim E, Golden Joel P, Shriver-Lake Lisa C, Taitt Chris R, Dyer Maureen A, Barone Salvatore, Myatt Christopher J
Center for Bio/Molecular Science & Engineering, Washington, DC 20375, USA.
Anal Sci. 2007 Jan;23(1):5-10. doi: 10.2116/analsci.23.5.
With recent advances in surface chemistry, microfluidics, and data analysis, there are ever increasing reports of array-based methods for detecting and quantifying multiple targets. However, only a few systems have been described that require minimal preparation of complex samples and possess a means of quantitatively assessing matrix effects. The NRL Array Biosensor has been developed with the goal of rapid and sensitive detection of multiple targets from multiple samples analyzed simultaneously. A key characteristic of this system is its two-dimensional configuration, which allows controls and standards to be analyzed in parallel with unknowns. Although the majority of our work has focused on instrument automation and immunoassay development, we have recently initiated efforts to utilize alternative recognition molecules, such as peptides and sugars, for detection of a wider variety of targets. The array biosensor has demonstrated utility for a variety of applications, including food safety, disease diagnosis, monitoring immune response, and homeland security, and is presently being transitioned to the commercial sector for manufacturing.
随着表面化学、微流体技术和数据分析方面的最新进展,基于阵列的多靶点检测和定量方法的报道日益增多。然而,只有少数系统被描述为只需对复杂样品进行最少的制备,并且具备定量评估基质效应的手段。海军研究实验室阵列生物传感器的开发目标是能够快速、灵敏地同时检测多个样品中的多个靶点。该系统的一个关键特性是其二维配置,这使得对照品和标准品能够与未知样品并行分析。尽管我们的大部分工作都集中在仪器自动化和免疫分析开发上,但我们最近已开始努力利用肽和糖等替代识别分子来检测更多种类的靶点。该阵列生物传感器已在食品安全、疾病诊断、监测免疫反应和国土安全等各种应用中展现出实用性,目前正转向商业领域进行生产。