Miętus Magdalena, Cegłowski Mateusz, Gołofit Tomasz, Gadomska-Gajadhur Agnieszka
Faculty of Chemistry, Warsaw University of Technology, Noakowskiego 3 Street, 00-664 Warsaw, Poland.
Polymers (Basel). 2024 Sep 25;16(19):2708. doi: 10.3390/polym16192708.
At present, there are too few organ and tissue donors. Due to the needs of the medical market, scientists are seeking new solutions. Those can be found in tissue engineering by synthesizing synthetic cell scaffolds. We have decided to synthesize a potential UV-crosslinked bio-ink for 3D printing, poly(1,4-butanediol itaconate), in response to emerging needs. Diol polyesters are commonly investigated for their use in tissue engineering. However, itaconic acid makes it possible to post-modify the obtained polymer via UV-crosslinking. This work aims to optimize the synthesis of poly(1,4-butanediol itaconate) in the presence of a catalyst, zinc acetate, without using any toxic reactant. The experiments used itaconic acid and 1,4-butanediol using the Box-Behnken mathematical planning method. The input variables were the amount of the catalyst used, as well as the time and temperature of the synthesis. The optimized output variables were the percentage conversion of carboxyl groups, the percentage of unreacted C=C bonds, and the product's visual and viscosity analysis. The significance of the varying synthesis parameters was determined in each statistical model. The optimum conditions were as follows: amount of catalyst 0.3%, reaction time 4 h, and temperature 150 °C. The temperature had the most significant impact on the product characteristics, mainly due to side reactions. Experimentally developed models of the polymerization process enable the effective synthesis of a polymer "tailor-made" for a specific application.
目前，器官和组织捐赠者数量过少。出于医疗市场的需求，科学家们正在寻找新的解决方案。这些方案可以在组织工程中通过合成人工细胞支架来找到。为了满足新出现的需求，我们决定合成一种用于3D打印的潜在紫外线交联生物墨水——聚（1,4 - 丁二醇衣康酸酯）。二醇聚酯通常因其在组织工程中的应用而受到研究。然而，衣康酸使得通过紫外线交联对所得聚合物进行后修饰成为可能。这项工作旨在在不使用任何有毒反应物的情况下，在催化剂醋酸锌存在下优化聚（1,4 - 丁二醇衣康酸酯）的合成。实验采用衣康酸和1,4 - 丁二醇，并使用Box - Behnken数学规划方法。输入变量为所用催化剂的量以及合成的时间和温度。优化后的输出变量为羧基的转化率、未反应碳 - 碳双键的百分比以及产物的外观和粘度分析。在每个统计模型中确定了不同合成参数的显著性。最佳条件如下：催化剂用量0.3%、反应时间4小时、温度150℃。温度对产物特性影响最为显著，主要是由于副反应。通过实验建立的聚合过程模型能够有效地合成针对特定应用“量身定制”的聚合物。
