Heart
valve replacement is an effective therapy for patients with
moderate to severe valvular stenosis or regurgitation. Most bioprosthetic
heart valves applied clinically are based on cross-linking with glutaraldehyde
(GLUT), but they have some drawbacks like high cytotoxicity, severe
calcification, and poor hemocompatibility. In this study, we focused
on enhancing the properties of bioprosthetic heart valves by cross-linking
with 3,4-dihydroxybenzaldehyde (DHBA). The experiment results revealed
that compared with GLUT cross-linked porcine pericardium (PP), the
relative amount of platelets absorbed on the surface of DHBA cross-linked
PP decreased from 0.294 ± 0.034 to 0.176 ± 0.028, and the
activated partial thromboplastin time (APTT) increased from 9.9 ±
0.1 to 15.2 ± 0.1 s, indicating improved hemocompatibility. Moreover,
anticalcification performance and cytocompatibility were greatly enhanced
by DHBA cross-linking. In conclusion, the properties of bioprosthetic
valves could be effectively improved by processing valves with a DHBA-based
cross-linking method.
The sparrow search algorithm has attracted much attention due to its excellent characteristics, but it still has shortcomings such as falling into the local optimum and relying on the initial population stage. In order to improve these shortcomings, the chaotic flying sparrow search algorithm is proposed. In the initialization, the chaotic mapping based on random variables is introduced to make the population distribution more uniform and speed up the optimization efficiency of the population. In the discoverer stage, the dynamic adaptive search strategy and levy flight mechanism are used to increase the search range and flexibility, and the random walk strategy is introduced to make the follower’s search more detailed and avoid premature phenomenon. The effectiveness of the improved algorithm is verified by six standard test functions, and the introduction of a variety of strategies greatly enhances the optimization ability of the algorithm.
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