Barrett-Catton Emma, Pedersen Kyle, Mobed-Miremadi Maryam, Asuri Prashanth
Department of Bioengineering, Santa Clara University, Santa Clara, CA 95053, USA.
Nanomaterials (Basel). 2022 Dec 15;12(24):4461. doi: 10.3390/nano12244461.
Interpenetrating networks (IPN)s have been conceived as a biomimetic tool to tune hydrogel mechanical properties to the desired target formulations. In this study, the rheological behavior of acrylamide (AAm) [2.5-10%] hydrogels crosslinked with N,N'-methylenebis(acrylamide) (Bis) [0.0625-0.25%] was characterized in terms of the saturation modulus affected by the interaction of silica nanoparticle (SiNP) nanofillers [0-5%] and dextran [0-2%] at a frequency of 1 Hz and strain rate of 1% after a gelation period of 90 min. For single-network hydrogels, a prominent transition was observed at 0.125% Bis for 2.5% AAm and 0.25% Bis for 5% AAm across the SiNP concentrations and was validated by retrospective 3-level factorial design models, as characterized by deviation from linearity in the saturation region (R = 0.86). IPN hydrogels resulting from the addition of dextran to the single network in the pre-saturation region, as outlined by the strong goodness of fit (R= 0.99), exhibited a correlated increase in the elastic (G') and viscous moduli (G"). While increasing the dextran concentrations [0-2%] and MW [100 kDa and 500 kDa] regulated the increase in G', saturation in G" or the loss tangent (tan(δ)) was not recorded within the observed operating windows. Results of multifactor analysis conducted on Han plots in terms of the elastic gains indicate that amongst the factors modulating the viscoelasticity of the IPN hydrogels, dextran concentration is the most important (R = 35.3 dB), followed by nanoparticle concentration (R = 7.7 dB) and dextran molecular weight (R = 2.9 dB). The results demonstrate how the Han plot may be systematically used to quantify the main effects of intensive thermodynamic properties on rheological phase transition in interpenetrating networks where traditional multifactor analyses cannot resolve statistical significance.
互穿网络(IPN)被认为是一种仿生工具,可将水凝胶的机械性能调整到所需的目标配方。在本研究中,以1Hz的频率和1%的应变速率,对用N,N'-亚甲基双丙烯酰胺(双丙烯酰胺)[0.0625 - 0.25%]交联的丙烯酰胺(AAm)[2.5 - 10%]水凝胶在90分钟凝胶化时间后的饱和模量进行了表征,该饱和模量受二氧化硅纳米颗粒(SiNP)纳米填料[0 - 5%]和葡聚糖[0 - 2%]相互作用的影响。对于单网络水凝胶,在2.5%AAm时,在0.125%双丙烯酰胺处观察到显著转变;在5%AAm时,在0.25%双丙烯酰胺处观察到显著转变,这些转变跨越了SiNP浓度范围,并通过回顾性三级析因设计模型得到验证,其特征是在饱和区域偏离线性(R = 0.86)。如拟合优度良好(R = 0.99)所示,在预饱和区域向单网络中添加葡聚糖形成的IPN水凝胶,其弹性模量(G')和粘性模量(G")呈现相关增加。虽然增加葡聚糖浓度[0 - 2%]和分子量[100 kDa和500 kDa]调节了G'的增加,但在观察到的操作窗口内未记录到G"的饱和或损耗角正切(tan(δ))。根据弹性增益在Han图上进行的多因素分析结果表明,在调节IPN水凝胶粘弹性的因素中,葡聚糖浓度最重要(R = 35.3 dB),其次是纳米颗粒浓度(R = 7.7 dB)和葡聚糖分子量(R = 2.9 dB)。结果表明,在传统多因素分析无法解析统计显著性的互穿网络中,Han图可如何系统地用于量化强度热力学性质对流变相变的主要影响。