Virginia Tech-Wake Forest University School of Biomedical Engineering and Sciences, Wake Forest School of Medicine, Winston-Salem, NC, 27101, USA.
Department of Biochemistry and Molecular Biology, University of Oklahoma Health Sciences Center, Oklahoma, OK, 73104, USA.
Sci Rep. 2022 Mar 16;12(1):4469. doi: 10.1038/s41598-022-08533-1.
Hyaluronan (HA) is an essential carbohydrate in vertebrates that is a potentially robust bioindicator due to its critical roles in diverse physiological functions in health and disease. The intricate size-dependent function that exists for HA and its low abundance in most biological fluids have highlighted the need for sensitive technologies to provide accurate and quantitative assessments of polysaccharide molecular weight and concentration. We have demonstrated that solid state (SS-) nanopore technology can be exploited for this purpose, given its molecular sensitivity and analytical capacity, but there remains a need to further understand the impacts of experimental variables on the SS-nanopore signal for optimal interpretation of results. Here, we use model quasi-monodisperse HA polymers to determine the dependence of HA signal characteristics on a range of SS-nanopore measurement conditions, including applied voltage, pore diameter, and ionic buffer asymmetry. Our results identify important factors for improving the signal-to-noise ratio, resolution, and sensitivity of HA analysis with SS-nanopores.
透明质酸(HA)是脊椎动物中一种必不可少的碳水化合物,由于其在健康和疾病中的多种生理功能中起着关键作用,因此它是一种有潜力的强大生物标志物。HA 的大小依赖性功能非常复杂,并且其在大多数生物流体中的含量都很低,这突出表明需要敏感的技术来提供多糖分子量和浓度的准确和定量评估。我们已经证明,鉴于其分子灵敏度和分析能力,固态(SS)纳米孔技术可用于实现这一目的,但仍需要进一步了解实验变量对 SS 纳米孔信号的影响,以实现对结果的最佳解释。在这里,我们使用模型准单分散透明质酸聚合物来确定 HA 信号特征对一系列 SS 纳米孔测量条件的依赖性,包括施加电压、孔径和离子缓冲液不对称性。我们的结果确定了提高 SS 纳米孔分析中 HA 信号的信噪比、分辨率和灵敏度的重要因素。