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Hybrid flagellar motor/MEMS based TNT detection system

机译:基于混合鞭毛马达/ MEMS的TNT检测系统

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Effective and rapid detection of nitroaromatic explosive compounds, especially trinitrotoluene (TNT), is very important to homeland security as well as to environmental monitoring of contaminants in soil and water, and landmine detection. In this research, we explore a novel nanoscale flagellar motor based TNT detection system (nFMTNT). The nFMTNT is a bio-hybrid MEMS system which combines genetically engineered flagellar motors and MEMS devices. The system consists of three major components: (1) a non-pathogenic, genetically modified Escherichia coli strain KAF95 with a rotating flagellar filament, (2) a microchannel with tethered cells, and (3) a sub-micron bead attached to a rotating flagellar filament. The operational principle of nFMTNT is based on detecting the change in the rotational behavior of the nanoscale flagellar filament in the presence of TNT. The rotational behavior of flagellar filaments of E. coli KAF95 was shown to be extremely sensitive to the presence of nitrate or nitrite. Normally, the flagellar filaments were locked in to rotate in the counterclockwise direction. However, when a nitrate or nitrite was present in the immediate environment, the filaments cease to rotate. Our results indicate that the threshold concentrations required for this response were 10~(-4) M for nitrate and 10~(-3) M for nitrite. This is equivalent to around 10 pg of nitrate and 100 pg of nitrite, based on the dimension of the MEMS-based reaction system used for the experiment (400 μm x 100 μm x 40 μm). These detection limits can be even lower when the size of the system is reduced.
机译:快速有效地检测硝基芳族爆炸性化合物,尤其是三硝基甲苯(TNT),对于国土安全以及对土壤和水中污染物的环境监测以及地雷检测非常重要。在这项研究中,我们探索了一种新型的基于纳米鞭毛马达的TNT检测系统(nFMTNT)。 nFMTNT是一种生物混合MEMS系统,结合了基因工程鞭毛马达和MEMS器件。该系统由三个主要部分组成:(1)具有旋转鞭毛细丝的非病原性,基因改造的大肠杆菌KAF95菌株;(2)带有束缚细胞的微通道;(3)附着于旋转的亚微米珠子鞭毛花丝。 nFMTNT的操作原理是基于在存在TNT的情况下检测纳米级鞭毛丝旋转行为的变化。已显示大肠杆菌KAF95的鞭毛细丝的旋转行为对硝酸盐或亚硝酸盐的存在极为敏感。通常,鞭毛细丝被锁定在逆时针方向旋转。但是,当周围环境中存在硝酸盐或亚硝酸盐时,长丝将停止旋转。我们的结果表明,该响应所需的阈值浓度对于硝酸盐为10〜(-4)M,对于亚硝酸盐为10〜(-3)M。根据用于实验的基于MEMS的反应系统的尺寸(400μmx 100μmx 40μm),这相当于大约10 pg硝酸盐和100 pg亚硝酸盐。当减小系统尺寸时,这些检测极限甚至可以更低。

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