1 Department of Chemistry, Purdue University, West Lafayette, IN, USA.
3 Department of Chemistry, Wabash College, Crawfordsville, IN, USA.
Appl Spectrosc. 2018 Nov;72(11):1594-1605. doi: 10.1177/0003702818786506. Epub 2018 Oct 3.
A statistical model enables auto-calibration of second harmonic generation (SHG) images for quantifying trace crystallinity within amorphous solid dispersions (ASDs) over a wide dynamic range of crystallinity. In this paper, we demonstrate particle-counting approaches for quantifying trace crystallinity, combined with analytical expressions correcting for particle overlap bias in higher crystallinity regimes to extend the continuous dynamic range of standard particle-counting algorithms through to the signal averaging regime. The reliability of the values recovered by these expressions was demonstrated with simulated data as well as experimental data obtained for an amorphous solid dispersion formulation containing evacetrapib, an Eli Lilly and Company compound. Since particle counting independently recovers the crystalline volume and the SHG intensity, the average SHG intensity per unit volume can be used as an internal calibrant for quantifying crystallinity at higher volume fractions, for which particle counting is no longer applicable.
统计模型可实现二次谐波产生 (SHG) 图像的自动校准,从而在宽结晶度动态范围内定量测定非晶固体分散体 (ASD) 中的痕量结晶度。在本文中,我们展示了用于定量痕量结晶度的粒子计数方法,结合在较高结晶度区域校正粒子重叠偏差的分析表达式,将标准粒子计数算法的连续动态范围扩展到信号平均化区域。通过模拟数据和含有依维莫司的无定形固体分散体制剂的实验数据,证明了这些表达式恢复的值的可靠性。由于粒子计数独立地恢复了结晶体积和 SHG 强度,因此可以将单位体积的平均 SHG 强度用作内部校准物,以在粒子计数不再适用的更高体积分数下定量测定结晶度。