Zatorski Jonathan M, Lee Isabella L, Ortiz-Cárdenas Jennifer E, Ellena Jeffrey F, Pompano Rebecca R
University of Virginia, Department of Chemistry, 409 McCormick Road, University of Virginia, Charlottesville, VA 22904.
Stanford University, Department of Bioengineering, 443 Via Ortega, Rm 119, Stanford, CA 94305, United States.
bioRxiv. 2024 Jul 2:2024.06.30.601353. doi: 10.1101/2024.06.30.601353.
Photocrosslinking hydrogels are promising for tissue engineering and regenerative medicine, but challenges in reaction monitoring often leave their optimization subject to trial and error. The stability of crosslinked gels under fluid flow, as in the case of a microfluidic device, is particularly challenging to predict, both because of obstacles inherent to solid-state macromolecular analysis that prevent accurate chemical monitoring, and because stability is dependent on size of the patterned features. To solve both problems, we obtained H NMR spectra of cured hydrogels which were enzymatically degraded. This allowed us to take advantage of the high-resolution that solution NMR provides. This unique approach enabled the measurement of degree of crosslinking (DoC) and prediction of material stability under physiological fluid flow. We showed that NMR spectra of enzyme-digested gels successfully reported on DoC as a function of light exposure and wavelength within two classes of photocrosslinkable hydrogels: methacryloyl-modified gelatin and a composite of thiol-modified gelatin and norbornene-terminated polyethylene glycol. This approach revealed that a threshold DoC was required for patterned features in each material to become stable, and that smaller features required a higher DoC for stability. Finally, we demonstrated that DoC was predictive of the stability of architecturally complex features when photopatterning, underscoring the value of monitoring DoC when using light-reactive gels. We anticipate that the ability to quantify chemical crosslinks will accelerate the design of advanced hydrogel materials for structurally demanding applications such as photopatterning and bioprinting.
光交联水凝胶在组织工程和再生医学领域具有广阔前景,但反应监测方面的挑战往往使它们的优化只能依靠反复试验。在微流控装置等流体流动情况下,交联凝胶的稳定性尤其难以预测,这既是因为固态大分子分析存在固有障碍,妨碍了准确的化学监测,也是因为稳定性取决于图案化特征的尺寸。为了解决这两个问题,我们获取了经酶降解的固化水凝胶的核磁共振氢谱。这使我们能够利用溶液核磁共振提供的高分辨率。这种独特方法能够测量交联度(DoC)并预测在生理流体流动下材料的稳定性。我们表明,酶解凝胶的核磁共振谱成功地报告了在两类可光交联水凝胶(甲基丙烯酰基改性明胶以及硫醇改性明胶与降冰片烯封端聚乙二醇的复合材料)中,交联度作为光照和波长的函数。该方法揭示出,每种材料中的图案化特征要变得稳定需要一个阈值交联度,并且较小的特征需要更高的交联度才能保持稳定。最后,我们证明了在光图案化时,交联度能够预测结构复杂特征的稳定性,这突出了在使用光反应性凝胶时监测交联度的价值。我们预计,量化化学交联的能力将加速用于光图案化和生物打印等对结构要求较高应用的先进水凝胶材料的设计。