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The meniscus regeneration can present major challenges such as mimicking tissue microstructuration or triggering cell regeneration. In the case of lesions that require a personalized approach, photoprinting offers the possibility of designing resolutive biomaterial structures. The photo-cross-linkable ink composition determines the process ease and the final network properties. In this study, we designed a range of hybrid inks composed of gelatin(G) and 6-PLA arms(P) that were photo-cross-linked using tyramine groups. The photo-cross-linking efficiency, mechanical properties, degradation, and biological interactions of inks with different G/P mass ratios were studied. The G50P50 network properties were suitable for meniscus regeneration, with Young's modulus of 6.5 MPa, degradation in 2 months, and good cell proliferation. We then confirmed the potential of these inks to produce high-resolution microstructures by printing well-defined microstructures using two-photon polymerization. These hybrid inks offer new perspectives for biocompatible, degradable, and microstructured tissue engineering scaffold creation.

Exploiting a femtoliter liquid meniscus formed on a nanopipet is a powerful approach to spatially control mass transfer or chemical reaction at the nanoscale. However, the insufficient reliability of techniques for the meniscus formation still restricts its practical use. We report on a noncontact, programmable method to produce a femtoliter liquid meniscus that is utilized for parallel three-dimensional (3D) nanoprinting. The method based on electrohydrodynamic dispensing enables one to create an ink meniscus at a pipet-substrate gap without physical contact and positional feedback. By guiding the meniscus under rapid evaporation of solvent in air, we successfully fabricate freestanding polymer 3D nanostructures. After a quantitative characterization of the experimental conditions, we show that we can use a multibarrel pipet to achieve parallel fabrication process of clustered nanowires with precise placement. We expect this technique to advance productivity in nanoscale 3D printing.