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首页> 外文期刊>Electrophoresis: The Official Journal of the International Electrophoresis Society >Determining under- and oversampling of individual particle distributions in microfluidic electrophoresis with orthogonal laser-induced fluorescence detection
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Determining under- and oversampling of individual particle distributions in microfluidic electrophoresis with orthogonal laser-induced fluorescence detection

机译:正交激光诱导荧光检测法测定微流电泳中单个颗粒分布的欠采样和过采样

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摘要

This report investigates the effects of sample size on the separation and analysis of individual biological particles using microfluidic devices equipped with an orthogonal LIF detector. A detection limit of 17 +/- 1 molecules of fluorophore is obtained using this orthogonal LIF detector under a constant flow of fluorescein, which is a significant improvement over epifluorescence, the most common LIF detection scheme used with microfluidic devices. Mitochondria from rat liver tissue and cultured 143B osteosarcoma cells are used as model biological particles. Quantile-quantile (q-q) plots were used to investigate changes in the distributions. When the number of detected mitochondrial. events became too large (> 72 for rat liver and > 98 for 143B mitochondria), oversampling occurs. Statistical overlap theory is used to suggest that the cause of oversampling is that separation power of the microfluidic device presented is not enough to adequately separate large numbers of individual mitochondrial events. Fortunately, q-q plots make it possible to identify and exclude these distributions from data analysis. Additionally, when the number of detected events became too small (< 55 for rat liver and < 81 for 143B mitochondria) there were not enough events to obtain a statistically relevant mobility distribution, but these distributions can be combined to obtain a statistically relevant electrophoretic mobility distribution.
机译:本报告调查了样品大小对使用正交LIF检测器的微流控设备分离和分析单个生物颗粒的影响。使用这种正交LIF检测器,在恒定的荧光素流量下,可获得17 +/- 1个分子的检测限,这是对落射荧光的显着改进,后者是微流体设备最常用的LIF检测方案。来自大鼠肝组织的线粒体和培养的143B骨肉瘤细胞用作模型生物颗粒。分位数-分位数(q-q)图用于调查分布的变化。当检测到线粒体数。如果事件过大(对于大鼠肝脏,> 72,对于143B线粒体,> 98),则发生过采样。统计重叠理论用于表明过采样的原因是所提供的微流体装置的分离能力不足以充分分离大量单独的线粒体事件。幸运的是,q-q图可以识别并从数据分析中排除这些分布。此外,当检测到的事件数量太少时(对于大鼠肝脏,<55,对于143B线粒体,<81),没有足够的事件获得统计上相关的迁移率分布,但是可以将这些分布组合以获得统计上相关的电泳迁移率分配。

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