Interest in extracellular vesicles and in particular microvesicles and exosomes, which are constitutively produced by cells, is on the rise for their huge potential as biomarkers in a high number of disorders and pathologies as they are considered as carriers of information among cells, as well as being responsible for the spreading of diseases. Current methods of analysis of microvesicles and exosomes do not fulfill the requirements for their in-depth investigation and the complete exploitation of their diagnostic and prognostic value. Lab-on-chip methods have the potential and capabilities to bridge this gap and the technology is mature enough to provide all the necessary steps for a completely automated analysis of extracellular vesicles in body fluids. In this paper we provide an overview of the biological role of extracellular vesicles, standard biochemical methods of analysis and their limits, and a survey of lab-on-chip methods that are able to meet the needs of a deeper exploitation of these biological entities to drive their use in common clinical practice.
Injectable liposomes are characterized by a suitable size and unique lipid mixtures, which require time-consuming and nonstraightforward production processes. The complexity of the manufacturing methods may affect liposome solubility, the phase transition temperatures of the membranes, the average particle size, and the associated particle size distribution, with a possible impact on the drug encapsulation and release. By leveraging the precise steady-state control over the mixing of miscible liquids and a highly efficient heat transfer, microfluidic technology has proved to be an effective and direct methodology to produce liposomes. This approach results particularly efficient in reducing the number of the sizing steps, when compared to standard industrial methods. Here, Microfluidic Hydrodynamic Focusing chips were produced and used to form liposomes upon tuning experimental parameters such as lipids concentration and Flow-Rate-Ratios (FRRs). Although modelling evidenced the dependence of the laminar flow on the geometric constraints and the FRR conditions, for the specific formulation investigated in this study, the lipids concentration was identified as the primary factor influencing the size of the liposomes and their polydispersity index. This was attributed to a predominance of the bending elasticity modulus over the vesiculation index in the lipid mixture used. Eventually, liposomes of injectable size were produced using microfluidic one-pot synthesis in continuous flow.
The human Blood Brain Barrier (hBBB) is a complex cellular architecture separating the blood from the brain parenchyma. Its integrity and perfect functionality are essential for preventing neurotoxic plasma components and pathogens enter the brain. Although vital for preserving the correct brain activity, the low permeability of hBBB represents a huge impediment to treat mental and neurological disorders or to address brain tumors. Indeed, the vast majority of potential drug treatments are unable to reach the brain crossing the hBBB. On the other hand, hBBB integrity can be damaged or its permeability increase as a result of infections or in presence of neurodegenerative diseases. Current in vitro systems and in vivo animal models used to study the molecular/drug transport mechanism through the hBBB have several intrinsic limitations that are difficult to overcome. In this scenario, Organ-on-Chip (OoC) models based on microfluidic technologies are considered promising innovative platforms that combine the handiness of an in vitro model with the complexity of a living organ, while reducing time and costs. In this review, we focus on recent advances in OoCs for developing hBBB models, with the aim of providing the reader with a critical overview of the main guidelines to design and manufacture a hBBB-on-chip, whose compartments need to mimic the ‘blood side’ and ‘brain side’ of the barrier, to choose the cells types that are both representative and convenient, and to adequately evaluate the barrier integrity, stability, and functionality.