A low cost, low temperature process for sealing microfluidic devices composed of at least one organic polymeric substrate is presented. The process is based on the surface modification of the organic substrate by means of a silane solution, resulting in irreversible bonding. It is a generic method of bonding polymeric/plastic substrates, bare or structured ones, such as poly(methylmethacrylate) (PMMA), polystyrene (PS) or epoxy-type polymers, to Si-containing substrates, such as poly(dimethylsiloxane) (PDMS), Si and glass. In the case that bonding between organic polymer (PMMA, PS, etc) substrates is desired, an intermediate thin PDMS layer is required.

In the last years, there has been an increasing interest in controlling the protein adsorption properties of surfaces because this control is crucial for the design of biomaterials. On the other hand, controlled immobilization of proteins is also important for their application as solid surfaces in immunodiagnostics and biosensors. Herein we report a new protein patterning method where regions of the substrate are covered by a hydrophilic film that minimizes protein adsorption. Particularly, poly(vinyl alcohol) (PVA) cross-linked structures created by an especially developed photolithographic process are proved to prevent protein physisorption and they are used as a guide for selective protein adsorption on the uncovered areas of a protein adsorbing substrate such as polystyrene. The PVA cross-linking is induced by photo-oxidation using, as a catalyst, polyoxometalate (H3PW12O40 or α-(NH4)6P2W18O62), which is removed using a methyl alcohol/water mixed solvent as the developer. We demonstrate that the polystyrene and the cross-linked PVA exhibit dramatically different performances in terms of protein physisorption. In particular, the polystyrene areas presented up to 130 times higher protein binding capacity than the PVA ones, whereas the patterning resolution could easily reach dimensions of a few micrometers. The proposed approach can be applied on any substrate where PVA films can be coated for controlling protein adsorption onto surface areas custom defined by the user.

In this work, silicon substrates with poly(vinyl alcohol) (PVA) patterns created by a simple, low-cost and high-fidelity photolithographic procedure were evaluated with respect to cell adhesion and alignment, viability, metabolic activity, proliferation and cell cycle progression using the human glioblastoma cell-line U87MG and human skin fibroblasts. In addition, rat adrenal pheochromocytoma cells (PC-12) were employed to evaluate a modified photolithographic protocol appropriate for adhesion of cells requiring extracellular matrix components to adhere on the surface and to demonstrate that the proposed patterned substrates could provide unhindered cell differentiation. Regarding U87MG cells and skin fibroblasts, it was found that as the stripes width increased from 10 to 50 μm, the percentage of cells attached to Si versus the total area (Si + PVA) increased from 78% and 72% to 98.5% and 94.5% (p < 0.05), for U87MG cells and skin fibroblasts, respectively, with optimum cell alignment (≥95% of adherent cells with fidelity between 0.90 and 1.0; p < 0.05) for stripes width ranging between 20 and 22.5 μm. Concerning the viability, metabolic activity and proliferation of adherent cells, no statistically significant differences were observed compared to cells cultured onto non-patterned surfaces. Regarding PC-12 cells, a modification of the patterning procedure was followed involving coating of the substrate with type IV collagen prior to the photolithographic procedure, since they could not adhere on plain Si substrates. It was found that PC-12 cells adhere selectively (>95%) to collagen-coated Si stripes when the pattern width was equal to or wider than 10 μm. Following treatment with nerve growth factor, approximately 80% (p < 0.05) of the adherent cells differentiated to neuron-like cells extending neurites exclusively within the pattern. Given that the proposed patterning procedure allows highly selective cell adhesion without affecting cell proliferation, metabolic activity, and differentiation it could serve as a useful tool in various fields including tissue engineering, cell-based sensors and analytical microsystems.

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