Smith Callahan Laura A
Vivian L. Smith Department of Neurosurgery & Center for Stem Cells and Regenerative Medicine McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Department of Nanomedicine and Biomedical Engineering, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, TX 77030, USA.
Gels. 2016 Jun 8;2(2):18. doi: 10.3390/gels2020018.
Combinatorial method/high throughput strategies, which have long been used in the pharmaceutical industry, have recently been applied to hydrogel optimization for tissue engineering applications. Although many combinatorial methods have been developed, few are suitable for use in tissue engineering hydrogel optimization. Currently, only three approaches (design of experiment, arrays and continuous gradients) have been utilized. This review highlights recent work with each approach. The benefits and disadvantages of design of experiment, array and continuous gradient approaches depending on study objectives and the general advantages of using combinatorial methods for hydrogel optimization over traditional optimization strategies will be discussed. Fabrication considerations for combinatorial method/high throughput samples will additionally be addressed to provide an assessment of the current state of the field, and potential future contributions to expedited material optimization and design.
组合方法/高通量策略长期以来一直应用于制药行业，最近已被用于组织工程应用的水凝胶优化。尽管已经开发了许多组合方法，但很少有适用于组织工程水凝胶优化的。目前，仅采用了三种方法（实验设计、阵列和连续梯度）。本综述重点介绍了每种方法的最新研究成果。将讨论根据研究目标采用实验设计、阵列和连续梯度方法的优缺点，以及与传统优化策略相比，使用组合方法进行水凝胶优化的总体优势。此外，还将讨论组合方法/高通量样品的制备注意事项，以评估该领域的当前状态，以及对加速材料优化和设计的潜在未来贡献。
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