Shandong Provincial Key Laboratory of Detection Technology of Tumor Markers, College of Chemistry and Chemical Engineering, Linyi University, Linyi, 276005, PR China; Functional Crystallization Center, Department of Chemical Engineering (Integrated Engineering Program), Kyung Hee University, Yongin-si, Gyeonggi-do, 446-701, South Korea.
Department of Chemical Eng., Dong-A University, Hadan 840, Saha, Busan, 604-741, South Korea.
Anal Chim Acta. 2022 Aug 15;1221:340137. doi: 10.1016/j.aca.2022.340137. Epub 2022 Jul 1.
A novel strategy utilizing the quartz crystal microbalance (QCM) was developed for the in situ discrimination of polymorphic nucleation (form-I and form-II) and phase transformation of sulfamerazine (SMZ) in cooling crystallization. According to Ostwald's rule of stages, metastable form-I of SMZ is first nucleated and then shifted to stable form-II by solution-mediated phase transformation. Through surface modification with the self-assembled monolayer technique of a functional group, QCM distinctively detects the formation of the two polymorphs. The results indicated that -NH (among the several functional groups tested) selectively accommodated stable form-II on the QCM sensor's surface and completely prevented the adsorption of metastable form-I on the surface. Therefore, the-NH-terminated QCM detected the formation of form-I only using the solution viscosity variation on the surface. However, it monitored the nucleation and growth of form-II via the solid mass change on the surface during the phase transformation of form-I to form-II. This strategy suggests a new and precise solution for in situ discrimination of SMZ polymorphs and their phase transformation.
利用石英晶体微天平(QCM)开发了一种新策略,用于在冷却结晶过程中对磺胺甲噁唑(SMZ)的多晶形成核(形式-I 和形式-II)和相转变进行原位鉴别。根据奥斯特瓦尔德阶段规则,SMZ 的亚稳形式-I 首先成核,然后通过溶液介导的相转变转变为稳定的形式-II。通过官能团的自组装单层技术进行表面修饰,QCM 可以明显检测到两种多晶型物的形成。结果表明,-NH(在测试的几种官能团中)选择性地在 QCM 传感器表面容纳稳定的形式-II,并完全阻止亚稳形式-I在表面上的吸附。因此,-NH 封端的 QCM 仅使用表面上的溶液粘度变化来检测形式-I 的形成。然而,它通过在形式-I 到形式-II 的相转变过程中表面上的固体质量变化来监测形式-II 的成核和生长。该策略为 SMZ 多晶型物及其相转变的原位鉴别提供了一种新的、精确的解决方案。