Shen Xinhui, Teo Ting Wei, Kong Tian Fook
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798, Singapore.
Micromachines (Basel). 2022 Jul 28;13(8):1198. doi: 10.3390/mi13081198.
In this article, we present a microfluidic technique for the rapid enumeration of bacterial density with a syringe filter to trap bacteria and the quantification of the bacterial density through pressure difference measurement across the membrane. First, we established the baseline differential pressure and hydraulic resistance for a filtration membrane by fully wetting the filter with DI water. Subsequently, when bacteria were infused and trapped at the pores of the membrane, the differential pressure and hydraulic resistance also increased. We characterized the infusion time required for the bacterial sample to achieve a normalized hydraulic resistance of 1.5. An equivalent electric-circuit model and calibration data sets from parametric studies were used to determine the general form of a calibration curve for the prediction of the bacterial density of a bacterial sample. As a proof of concept, we demonstrated through blind tests with that the device is capable of determining the bacterial density of a sample ranging from 7.3 × 10 to 2.2 × 10 CFU/mL with mean and median accuracies of 87.21% and 91.33%, respectively. The sample-to-result time is 19 min for a sample with lower detection threshold, while for higher-bacterial-density samples the measurement time is further shortened to merely 8 min.
在本文中,我们展示了一种微流控技术,该技术通过使用注射器过滤器捕获细菌来快速计数细菌密度,并通过测量跨膜的压差来定量细菌密度。首先,我们用去离子水完全润湿过滤器,以此建立过滤膜的基线压差和水力阻力。随后,当注入细菌并将其捕获在膜孔处时,压差和水力阻力也会增加。我们确定了细菌样本达到归一化水力阻力1.5所需的注入时间。使用等效电路模型和参数研究的校准数据集来确定校准曲线的一般形式,以预测细菌样本的细菌密度。作为概念验证,我们通过盲测证明,该设备能够测定样本细菌密度范围为7.3×10至2.2×10 CFU/mL,平均准确度和中位数准确度分别为87.21%和91.33%。对于检测阈值较低的样本,从样本到得出结果的时间为19分钟,而对于细菌密度较高的样本,测量时间进一步缩短至仅8分钟。