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Determining under‐ and oversampling of individual particle distributions in microfluidic electrophoresis with orthogonal laser‐induced fluorescence detection
Author(s) -
Whiting Christofer E.,
Dua Rajat A.,
Duffy Ciarán F.,
Arriaga Edgar A.
Publication year - 2008
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/elps.200700470
Subject(s) - microfluidics , oversampling , biological system , fluorescence , fluorophore , quantile , laser induced fluorescence , detection limit , detector , particle (ecology) , analytical chemistry (journal) , chemistry , materials science , physics , chromatography , biology , statistics , nanotechnology , mathematics , optoelectronics , optics , ecology , cmos
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.