Method for preparing a functionally gradient material for guided periodontal hard and soft tissue regeneration

A method for preparing a functionally gradient material for a guided periodontal hard and soft tissue regeneration, the functionally gradient material comprising a 3D printed scaffold layer and an electrospun fibrous membrane layer, wherein a content of hydroxyapatite in the 3D printed scaffold layer is higher than a content of hydroxyapatite in the electrospun fibrous membrane layer;

• a pore size of the 3D printed scaffold layer is larger than a pore size of the electrospun fibrous membrane layer;
• the pore size of the 3D printed scaffold layer is 100 μm-1000 μm;
• a fiber diameter of the electrospun fibrous membrane layer is 300 nm-5000 nm;
• the electrospun fibrous membrane layer is in a random distribution or an oriented arrangement or has a mesh structure;
• and a thickness of the electrospun fibrous membrane layer is 0.08 mm-1 mm,
• the method comprising the following steps:
• S1, ultrasonically dispersing the hydroxyapatite in a solvent for 1 h-2 h to obtain a dispersion solution, then adding fish collagen and a reagent to the dispersion solution to obtain a mixture, shaking well the mixture for 1.5 h-3 h, and then ultrasonically dispersing the mixture for 0.5 h-1 h to obtain a spinning solution, wherein the reagent is selected from the group consisting of polycaprolactone, polylactic acid, polyurethane, and chitosan;
• S2, stirring the spinning solution obtained in step S1 to evaporate the solvent to obtain a bio-ink;
• S3, preparing the electrospun fibrous membrane layer by using the spinning solution obtained in step S1 via an electrospinning;
• and
• S4, placing the electrospun fibrous membrane layer obtained in step S3 on a platform of a 3D bioprinter, and printing on the electrospun fibrous membrane layer by the 3D bioprinter using the bio-ink obtained in step S2 to construct the functionally gradient material compounded by the electrospun fibrous membrane layer with the 3D printed scaffold layer.