Jang Yeongseok, Wee Hwabok, Oh Jonghyun, Jung Jinmu
Department of Mechanical Design Engineering, Jeonbuk National University, Jeonju 54896, Korea.
Department of Orthopaedics & Rehabilitation, College of Medicine, Pennsylvania State University, Hershey, PA 17033, USA.
Micromachines (Basel). 2022 Mar 31;13(4):558. doi: 10.3390/mi13040558.
Recently, with the development of biomedical fields, the viscosity of prepolymer fluids, such as hydrogels, has played an important role in determining the mechanical properties of the extracellular matrix (ECM) or being closely related to cell viability in ECM. The technology for measuring viscosity is also developing. Here, we describe a method that can measure the viscosity of a fluid with trace amounts of prepolymers based on a simple flow-focused microdroplet generator. We also propose an equation that could predict the viscosity of a fluid. The viscosity of the prepolymer was predicted by measuring and calculating various lengths of the disperse phase at the cross junction of two continuous-phase channels and one disperse-phase channel. Bioprepolymer alginates and gelatin methacryloyl (GelMA) were used to measure the viscosity at different concentrations in a microdroplet generator. The break-up length of the dispersed phase at the cross junction of the channel gradually increased with increasing flow rate and viscosity. Additional viscosity analysis was performed to validate the standard viscosity calculation formula depending on the measured length. The viscosity formula derived based on the length of the alginate prepolymer was applied to GelMA. At a continuous phase flow rate of 400 uL/h, the empirical formula of alginate showed an error within about 2%, which was shown to predict the viscosity very well in the viscometer. Results of this study are expected to be very useful for hydrogel tuning in biomedical and tissue regeneration fields by providing a technology that can measure the dynamic viscosity of various prepolymers in a microchannel with small amounts of sample.
近年来,随着生物医学领域的发展,预聚物流体(如水凝胶)的粘度在决定细胞外基质(ECM)的机械性能或与ECM中的细胞活力密切相关方面发挥了重要作用。测量粘度的技术也在不断发展。在此,我们描述了一种基于简单的流动聚焦微滴发生器来测量含有痕量预聚物的流体粘度的方法。我们还提出了一个可以预测流体粘度的方程。通过测量和计算两个连续相通道和一个分散相通道交叉处分散相的各种长度来预测预聚物的粘度。使用生物预聚物海藻酸盐和甲基丙烯酰化明胶(GelMA)在微滴发生器中测量不同浓度下的粘度。通道交叉处分散相的破裂长度随着流速和粘度的增加而逐渐增加。进行了额外的粘度分析以根据测量长度验证标准粘度计算公式。基于海藻酸盐预聚物长度推导的粘度公式应用于GelMA。在连续相流速为400 μL/h时,海藻酸盐的经验公式显示误差在约2%以内,这表明在粘度计中能很好地预测粘度。本研究结果有望通过提供一种能够在微通道中使用少量样品测量各种预聚物动态粘度的技术,在生物医学和组织再生领域的水凝胶调节中非常有用。