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Scattered light: improving photoacoustic spectral measurement with a drug tablet

机译:散灯:用药片改善光声光谱测量

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Photoacoustic spectroscopy (PAS) is a powerful tool for the study of the absorption spectra of solid samples. Scattered light, which used to be a main error source in conventional absorption spectroscopy, is not a problem for PAS, and furthermore, in this paper it is helpful for photoacoustic spectroscopy measurement. In this work, the photoacoustic spectra of an olanzapine tablet and its powder have been investigated. Differential analysis was used to eliminate the background signal generated by the photoacoustic cell. It is found that the photoacoustic spectrum of olanzapine in the powdered olanzapine tablet has the same spectral features as that of the pure olanzapine powder, while the photoacoustic spectrum of the olanzapine tablet does not have, although the ingredients in both are completely the same. This phenomenon can be interpreted as the light scattering effects in the powdered olanzapine tablet. The light scattering effects in a solid mixture amplify the photoacoustic spectral features of the main light-absorbing ingredient in the mixture, rather than enhance the measured photoacoustic signal over the whole measured wavelength range, which is different from the influence of light scattering effects on a single-ingredient solid powder. Based on this work, a method is proposed to preliminarily fast identify the light-absorbing ingredient in a solid mixture. Using the method, a drug tablet can be measured directly in solid state and hardly need sample preprocessing, and thus the time for composition analyses will be reduced significantly.
机译:光声光谱(PAS)是研究固体样品的吸收光谱的强大工具。散射光,其用于传统吸收光谱中的主要误差源,对PA来说不是问题,而且,在本文中,它有助于光声光谱测量。在这项工作中,已经研究了奥氮翼片剂的光声光谱及其粉末。使用差分分析来消除光声电池产生的背景信号。结果发现,糖蛋白腺嘌呤片剂中奥氮滨的光声光谱具有与纯奥氮平粉末相同的光谱特征,而奥兰扎滨片的光声光谱则不具有,尽管两者中的成分完全相同。这种现象可以被解释为粉末奥氮平片中的光散射效应。固体混合物中的光散射效果扩增了混合物中的主要光吸收成分的光声光谱特征,而不是在整个测量的波长范围内增强测量的光声信号,这与光散射效应对A的影响不同单成分固体粉末。基于这项工作,提出了一种方法,以便在固体混合物中预先快速地识别光吸收成分。使用该方法,可以直接以固态测量药物片,并且几乎不需要样品预处理,因此组成分析的时间将显着降低。

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