Raman chemical imaging of intact non-flat tablets in regular and high-confocal mode,Analytical Methods

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Raman chemical imaging of intact non-flat tablets in regular and high-confocal mode
Analytical Methods ( IF 2.7 ) Pub Date : 2020/01/06 , DOI: 10.1039/c9ay02340b
Slobodan Šašić _{1,

2,

3} , Tim Prusnick _{1,

2,

3}

Affiliation

A curved area with embossment on an analgesic tablet with three active pharmaceutical ingredients (APIs) was imaged with a Raman instrument equipped with LiveTrack™ and StreamLine™ options that allow for continuous focus adjustment and fast acquisitions of micro-Raman spectra. The mapping spectra were acquired in regular- and high-confocal mode with varying time acquisitions in high-confocal maps. Univariate imaging, self-modelling curve resolution (SMCR), and principal component analysis (PCA) were used to produce images of all three APIs that were then combined in composite images. Univariate images were found to be most sensitive to signal to noise ratio in the spectra. The images derived by using SMCR appear to be of highest quality and most reliable but the lowest concentration API (caffeine) was not successfully resolved by SMCR. PCA-derived images were based on ambiguous loadings that are combinations of various bands of different sign. Caffeine distribution was still correctly displayed despite its bands not being major contributors in any of the loadings. Interestingly, due to its low concentration vs. the three APIs in the tablet, avicel was very difficult to identify and image, and only tiny spectral responses with a few correlated random pixels of avicel were identified in PC score images.

中文翻译：

常规和高浓度模式下完整非扁平片剂的拉曼化学成像

使用配备LiveTrack™和StreamLine™选项的拉曼仪器对具有三种活性药物成分（API）的止痛片上带有压纹的弯曲区域进行成像，以实现连续焦点调整和快速获取微拉曼光谱。映射光谱是在常规和高浓度模式下采集的，而高浓度地图中的采集时间有所不同。使用单变量成像，自建模曲线分辨率（SMCR）和主成分分析（PCA）生成所有三个API的图像，然后将它们组合成合成图像。发现单变量图像对光谱中的信噪比最敏感。使用SMCR导出的图像似乎质量最高，最可靠，但SMCR无法成功解析最低浓度的API（咖啡因）。PCA衍生的图像是基于含糊的负载，这些负载是不同符号的各个波段的组合。尽管咖啡因的乐队并不是任何负载的主要贡献者，但咖啡因的分布仍然可以正确显示。有趣的是，由于浓度低与平板电脑中的三个API相比，avicel很难识别和成像，并且在PC评分图像中仅识别出具有少量相关的avicel随机像素的微小光谱响应。

更新日期：2020-02-13

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