Dent Drive, Department of Chemistry, Bucknell University, Lewisburg, PA 17837, USA.
University of Pennsylvania, Department of Chemistry, 231 S. 34 Street, Philadelphia, PA 19104-6323, USA.
J Colloid Interface Sci. 2023 Aug 15;644:496-508. doi: 10.1016/j.jcis.2023.03.146. Epub 2023 Apr 5.
Bile salts exhibit complex concentration-dependent micellization in aqueous solution, rooted in a long-standing hypothesis of increasing size in bile aggregation that has historically focused on the measurement of only one CMC detected by a given method, without resolving successive stepwise aggregates. Whether bile aggregation is continuous or discrete, at what concentration does the first aggregate form, and how many aggregation steps occur, all remain as open questions.
Bile salt critical micelle concentrations (CMCs) were investigated with NMR chemical shift titrations and a multi-CMC phase separation modeling approach developed herein. The proposed strategy is to establish a correspondence of the phase separation and mass action models to treat the first CMC; subsequent micellization steps, involving larger micelles, are then treated as phase separation events.
The NMR data and the proposed multi-CMC model reveal and resolve multiple closely spaced sequential preliminary, primary, and secondary discrete CMCs in dihydroxy and trihydroxy bile salt systems in basic (pH 12) solutions with a single model of one NMR data set. Complex NMR data are closely explained by the model. Four CMCs are established in deoxycholate below 100 mM (298 K, pH 12): 3.8 ± 0.5 mM, 9.1 ± 0.3 mM, 27 ± 2 mM, and 57 ± 4 mM, while three CMCs were observed in multiple bile systems, also under basic conditions. Global fitting leverages the sensitivity of different protons to different aggregation stages. In resolving these closely spaced CMCs, the method also obtains chemical shifts of these spectroscopically inaccessible (aka dark) states of the distinct micelles.
胆汁盐在水溶液中表现出复杂的浓度依赖性胶束化,其根源在于一个长期存在的假说,即胆汁聚集的尺寸不断增大,该假说历史上一直侧重于仅测量给定方法检测到的一个 CMC,而没有解析连续的逐步聚集。无论胆汁聚集是连续的还是离散的,第一个聚集物在什么浓度下形成,以及发生了多少个聚集步骤,这些仍然是悬而未决的问题。
使用 NMR 化学位移滴定和本文开发的多 CMC 相分离建模方法研究了胆汁盐的临界胶束浓度(CMC)。所提出的策略是建立相分离和质量作用模型的对应关系,以处理第一个 CMC;然后,涉及更大胶束的后续胶束化步骤被视为相分离事件。
NMR 数据和所提出的多 CMC 模型揭示并解析了二羟基和三羟基胆汁盐系统在碱性(pH 12)溶液中多个紧密间隔的顺序初步、主要和次要离散 CMC,该模型使用单个 NMR 数据集。复杂的 NMR 数据被模型紧密解释。在低于 100 mM(298 K,pH 12)的脱氧胆酸中建立了四个 CMC:3.8±0.5 mM、9.1±0.3 mM、27±2 mM 和 57±4 mM,而在多种胆汁系统中也观察到了三个 CMC,同样在碱性条件下。全局拟合利用了不同质子对不同聚集阶段的敏感性。在解析这些紧密间隔的 CMC 时,该方法还获得了这些在光谱上无法访问(即暗态)的不同胶束的化学位移。