A microfluidic system for viability determination of microalgae upon disinfectant treatment under continuous flow.

The extensive use of quaternary ammonium compounds (QACs) has raised concerns regarding their environmental fate and potential risks to the ecosystem. As sensitive pollution indicators, green microalgae could readily monitor the aquatic toxicity of QACs as reflective of the changes in cell viability. Recent microfluidic-based systems have been designed for environmental biomonitoring and ecotoxicity studies while overall information of cell viability cannot be directly visualized under flowing conditions. In the present study, we developed a multifunctional microfluidic platform with the integration of analytical techniques including laser speckle contrast imaging and fluorescence spectroscopy for monitoring algal activity in response to QAC treatment. The biocidal efficiency of a representative QAC benzalkonium bromide (BAB) on a typical aquatic algae Chlorella vulgaris was determined by collecting the bio-speckles and chlorophyll autofluorescence in real-time, where dose-dependent and time-dependent decrease of algal growth was found with the increase of BAB concentration and interaction time. The integrated system was capable of rapid detection of the aquatic toxicity of QACs along with macroscopical visualization of algal activities under flowing conditions in time-course, which could be extended to future implementation for broad ecotoxicity analysis of versatile environmental samples.

Image-guided simulation in comparison with laser speckle contrast imaging for full-field observation of blood flow in a microvasculature model.

The in vitro reconstruction of the microvascular network model provides a reproducible platform for hemodynamic study with great biological relevance. In the present study, microvascular models with different parametric features were designed under the guidance of Murray's law and derived from representative natural vascular network topography in vivo. Computational fluid dynamics (CFD) was used to numerically simulate blood velocity distributions inside of the designed microvasculature models. Full-field blood flow in the vascular network was visualized in vivo using a laser speckle contrast imaging (LSCI) system, from which the measured relative velocity was compared with CFD computed flow distribution. The results have shown that, in comparison with the simplified flow patterns obtained from idealized geometries, the irregular vascular topography is expected to lead to nonuniform and poor regional blood velocity distribution. The velocity distribution acquired by in vivo LSCI experiment is in good agreement with that of numerical simulation, indicating the technical feasibility of using biomimetic microchannels as a reasonable approximation of the microcirculatory flow conditions. This study provides a new paradigm that can be well suited to the study of microvascular blood flow properties and can further expand to mimic other in-vivo scenarios for accurately recapitulating the physical and hemodynamic environment of the microcirculation.

Microfluidic-Based Platform for the Evaluation of Nanomaterial-Mediated Drug Delivery: From High-Throughput Screening to Dynamic Monitoring.

Nanomaterial-based drug delivery holds tremendous promise for improving targeting capacity, biodistribution, and performance of therapeutic/diagnostic agents. Accelerating the clinical translation of current nanomedicine requires an in-depth understanding of the mechanism underlying the dynamic interaction between nanomaterials and cells in a physiological/pathophysiological-relevant condition. The introduction of the advanced microfluidic platform with miniaturized, well-controlled, and high-throughput features opens new investigation and application opportunities for nanomedicine evaluation. This review highlights the current state-of-theart in the field of 1) microfluidic-assisted in vitro assays that are capable of providing physiological-relevant flow conditions and performing high-throughput drug screening, 2) advanced organ-on-a-chip technology with the combination of microfabrication and tissue engineering techniques for mimicking microenvironment and better predicting in vivo response of nanomedicine, and 3) the integration of microdevice with various detection techniques that can monitor cell-nanoparticle interaction with high spatiotemporal resolution. Future perspectives regarding optimized on-chip disease modeling and personalized nanomedicine screening are discussed towards further expanding the utilization of the microfluidic-based platform in assessing the biological behavior of nanomaterials.