Veiseh Mandana, Veiseh Omid, Martin Michael C, Bertozzi Carolyn, Zhang Miqin
Department of Materials Science & Engineering, University of Washington, WA 98195-2120, USA.
Biosens Bioelectron. 2007 Sep 30;23(2):253-60. doi: 10.1016/j.bios.2007.04.010. Epub 2007 Apr 27.
Microarrays of single macrophage cell-based sensors were developed and demonstrated for potential real-time bacterium detection by synchrotron FTIR microscopy. The cells were patterned on gold electrodes of silicon oxide substrates by a surface engineering technique, in which the gold electrodes were immobilized with fibronectin to mediate cell adhesion and the silicon oxide background was passivated with polyethylene glycol (PEG) to resist protein adsorption and cell adhesion. Cell morphology and IR spectra of single, double, and triple cells on gold electrodes exposed to lipopolysaccharide (LPS) of different concentrations were compared to reveal the detection capability of this cell-based sensing platform. The single-cell-based system was found to generate the most significant and consistent IR spectrum shifts upon exposure to LPS, thus providing the highest detection sensitivity. Changes in cell morphology and IR shifts upon cell exposure to LPS were found to be dependent on the LPS concentration and exposure time, which established a method for the identification of LPS concentration and infected cell population. Possibility of using this single-cell system with conventional IR spectroscopy as well as its limitation was investigated by comparing IR spectra of single-cell arrays with gold electrode surface areas of 25, 100, and 400 microm2 using both synchrotron and conventional FTIR spectromicroscopes. This cell-based platform may potentially provide real-time, label-free, and rapid bacterial detection, and allow for high-throughput statistical analyses, and portability.
基于单个巨噬细胞的传感器微阵列被开发出来,并通过同步辐射傅里叶变换红外显微镜展示了其用于潜在实时细菌检测的能力。通过表面工程技术将细胞图案化在氧化硅衬底的金电极上,其中金电极用纤连蛋白固定以介导细胞粘附,氧化硅背景用聚乙二醇(PEG)钝化以抵抗蛋白质吸附和细胞粘附。比较了暴露于不同浓度脂多糖(LPS)的金电极上单个、双个和三个细胞的细胞形态和红外光谱,以揭示这种基于细胞的传感平台的检测能力。发现基于单细胞的系统在暴露于LPS时产生最显著和一致的红外光谱位移,从而提供最高的检测灵敏度。发现细胞暴露于LPS时细胞形态和红外位移的变化取决于LPS浓度和暴露时间,这建立了一种识别LPS浓度和感染细胞群体的方法。通过使用同步辐射和传统傅里叶变换红外光谱显微镜比较金电极表面积分别为25、100和400平方微米的单细胞阵列的红外光谱,研究了将这种单细胞系统与传统红外光谱一起使用的可能性及其局限性。这种基于细胞的平台可能潜在地提供实时、无标记和快速的细菌检测,并允许进行高通量统计分析和便携性。