Choi Jeongan, Kang Miran, Jung Jae Hee
Center for Environment, Health, and Welfare Research, Korea Institute of Science and Technology, Seoul 136-791, Republic of Korea.
Sci Rep. 2015 Nov 2;5:15983. doi: 10.1038/srep15983.
We demonstrate an integrated micro-optofluidic platform for real-time, continuous detection and quantification of airborne microorganisms. Measurements of the fluorescence and light scattering from single particles in a microfluidic channel are used to determine the total particle number concentration and the microorganism number concentration in real-time. The system performance is examined by evaluating standard particle measurements with various sample flow rates and the ratios of fluorescent to non-fluorescent particles. To apply this method to real-time detection of airborne microorganisms, airborne Escherichia coli, Bacillus subtilis, and Staphylococcus epidermidis cells were introduced into the micro-optofluidic platform via bioaerosol generation, and a liquid-type particle collection setup was used. We demonstrate successful discrimination of SYTO82-dyed fluorescent bacterial cells from other residue particles in a continuous and real-time manner. In comparison with traditional microscopy cell counting and colony culture methods, this micro-optofluidic platform is not only more accurate in terms of the detection efficiency for airborne microorganisms but it also provides additional information on the total particle number concentration.
我们展示了一种用于实时、连续检测和定量空气中微生物的集成微流控光平台。通过测量微流控通道中单个颗粒的荧光和光散射,实时确定总颗粒数浓度和微生物数浓度。通过评估不同样品流速下的标准颗粒测量以及荧光颗粒与非荧光颗粒的比例来检验系统性能。为了将该方法应用于空气中微生物的实时检测,通过生物气溶胶生成将空气中的大肠杆菌、枯草芽孢杆菌和表皮葡萄球菌细胞引入微流控光平台,并使用了液体型颗粒收集装置。我们展示了以连续和实时的方式成功区分SYTO82染色的荧光细菌细胞与其他残留颗粒。与传统的显微镜细胞计数和菌落培养方法相比,这种微流控光平台不仅在空气中微生物的检测效率方面更准确,而且还提供了关于总颗粒数浓度的额外信息。