Accounting for misalignments and thermal fluctuations in fluorescence correlation spectroscopy experiments on membranes.

Several authors have exploited the ability of the fluorescence correlation spectroscopy to probe motion at the molecular level. In a couple of decades, all their efforts have allowed the application of this technique even to the diffusion measurement of cellular components. Nowadays, the fluorescence correlation spectroscopy is considered a standard tool to measure diffusion in cells both in vivo and in vitro. Unfortunately, while the interpretation and the set-up have been consolidated for 3D diffusion measurements (i.e. diffusion in an aqueous solution), the experiments carried out on flat elements, such as membranes, show unusually high relative errors. Furthermore, long tail correlations are generally detected and ascribed to diffusion anomalies. The 2D fluorescence correlation measurements have been interpreted under certain hypotheses, whereby the membrane is assumed to be perfectly flat, motionless and aligned with the optical axes. Here, we investigated the robustness of these hypotheses, trying to understand, in an elementary but not trivial way, how misalignments and thermal fluctuations affect the temporal correlation of the intensity fluctuation collected during measurements on membranes.

The "Federica" Hand.

Hand prostheses partially restore hand appearance and functionalities. In particular, 3D printers have provided great opportunities by simplifying the manufacturing process and reducing costs. The "Federica" hand is 3D-printed and equipped with a single servomotor, which synergically actuates its five fingers by inextensible tendons; no springs are used for hand opening. A differential mechanical system simultaneously distributes the motor force on each finger in predefined portions. The proportional control of hand closure/opening is achieved by monitoring muscle contraction by means of a thin force sensor, as an alternative to EMG. The electrical current of the servomotor is monitored to provide sensory feedback of the grip force, through a small vibration motor. A simple Arduino board was adopted as the processing unit. A closed-chain, differential mechanism guarantees efficient transfer of mechanical energy and a secure grasp of any object, regardless of its shape and deformability. The force sensor offers some advantages over the EMG: it does not require any electrical contact or signal processing to monitor muscle contraction intensity. The activation speed (about half a second) is high enough to allow the user to grab objects on the fly. The cost of the device is less then 100 USD. The "Federica" hand has proved to be a lightweight, low-cost and extremely efficient prosthesis. It is now available as an open-source project (CAD files and software can be downloaded from a public repository), thus allowing everyone to use the "Federica" hand and customize or improve it.

A mechanical hand for prosthetic applications: multibody model and contact simulation.

The dynamical behavior study of a mechanical hand is a fundamental issue to verify its possible application as a prosthetic hand. Simulation approaches are widely used to predict the dynamics of mechanical components. In the context of mechanical hands, the multibody model represents a useful tool to predict the finger dynamics and therefore the phalanx rotations before the prototyping. The phalanx rotations drive the finger closure sequence and, consequently, influence the grasping ability of the whole mechanical hand. This article discusses the main theoretical aspects dealing with the design of a mechanical hand for prosthetic application and the solutions offered by multiple simulation approaches.

Molecularly endowed hydrogel with an in silico-assisted screened peptide for highly sensitive small molecule harvesting.

We present a novel method for the detection of small molecules in complex fluids based on the selection of a specific peptide for target capture and its integration into an antifouling polymeric network. Such an approach can represent a universal platform for the direct and ultra-sensitive detection of small molecules in complex media.

Cell mechanosensory recognizes ligand compliance at biomaterial interface.

Cells activate signalling through ligand-receptor bonds by sensing the mechanical properties of the surrounding extracellular matrix (ECM). Ligands, indeed, have to withstand the pulling force elicited by cell receptors through focal adhesions (FAs). On this basis, we developed functional ligands to be simply adsorbed on surfaces and constituted by a two-domain peptide: one derived from ECM proteins and available to receptors to offer biochemical cues, and another adsorbed on material to withstand the tension upon receptor engagement. Tuneable compliance of the anchoring domain of the peptide ligand was verified by single peptide analysis through molecular dynamics and adsorption measurements. We showed that the highest adsorbed peptides combined with integrin cell-binding motifs allow for the cell recognition and polarization with larger mature FA areas. On the contrary, the lowest adsorbed sequences did not provide mechanical resistance to the integrin pulling action, leading to more rounded cells with smaller FA areas. This evidence demonstrates that cell mechanosensory can discriminate ligands on surfaces and should be considered as a criterion in ligand design for material bioactivation.