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Quantitative detection of codeine in human plasma using surface enhance Raman scattering via adaptation of the isotopic labelling principle

机译:通过适应同位素标记原理,使用表面增强拉曼散射定量检测人血浆中的可待因

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摘要

In this study surface enhanced Raman scattering (SERS) combined with the isotopic labelling (IL) principle has been used for the quantification of codeine spiked into both water and human plasma. Multivariate statistical approaches were employed for the analysis of these SERS spectral data, particularly partial least squares regression (PLSR) which was used to generate models using the full SERS spectral data for quantification of codeine with, and without, an internal isotopic labelled standard. The PLSR models provided accurate codeine quantification in water and human plasma with high prediction accuracy (Q2). In addition, the employment of codeine-d6 as the internal standard further improved the accuracy of the model, by increasing the Q2 from 0.89 to 0.94 and decreasing the low root-mean-square error of predictions (RMSEP) from 11.36 to 8.44. Using the peak area at 1281 cm−1 assigned to C–N stretching, C–H wagging and ring breathing, the limit of detection was calculated in both water and human plasma to be 0.7 μM (209.55 ng mL−1) and 1.39 μM (416.12 ng mL−1), respectively. Due to a lack of definitive codeine vibrational assignments, density functional theory (DFT) calculations have also been used to assign the spectral bands with their corresponding vibrational modes, which were in excellent agreement with our experimental Raman and SERS findings. Thus, we have successfully demonstrated the application of SERS with isotope labelling for the absolute quantification of codeine in human plasma for the first time with a high degree of accuracy and reproducibility. The use of the IL principle which employs an isotopolog (that is to say, a molecule which is only different by the substitution of atoms by isotopes) improves quantification and reproducibility because the competition of the codeine and codeine-d6 for the metal surface used for SERS is equal and this will offset any difference in the number of particles under analysis or any fluctuations in laser fluence. It is our belief that this may open up new exciting opportunities for testing SERS in real-world samples and applications which would be an area of potential future studies.
机译:在这项研究中,结合同位素标记(IL)原理的表面增强拉曼散射(SERS)已用于定量分析掺入水和人血浆中的可待因。多变量统计方法用于分析这些SERS光谱数据,尤其是偏最小二乘回归(PLSR),该模型用于使用完整SERS光谱数据生成模型,用于定量有无内标同位素的可待因。 PLSR模型提供了高预测精度(Q2)的水和人血浆中的可待因精确定量。此外,通过将Q2从0.89增加到0.94,并将预测的低均方根误差(RMSEP)从11.36降低到8.44,可待因-d6作为内标的使用进一步提高了模型的准确性。使用分配给C–N拉伸,C–H摆动和环呼吸的1281 cm-1处的峰面积,计算出水和人体血浆中的检出限分别为0.7μM(209.55 ng mL-1)和1.39μM (416.12 ng mL-1)。由于缺乏确定的可待因振动分配,还使用密度泛函理论(DFT)计算来为光谱带分配相应的振动模式,这与我们的拉曼和SERS实验结果非常吻合。因此,我们已经成功地证明了具有同位素标记的SERS在人类血浆中可待因的绝对定量方面的首次应用,具有很高的准确性和可重复性。采用可利用同位素的IL原理(即仅通过同位素取代原子而不同的分子)可提高量化和可重复性,因为可待因和可待因d6在用于金属表面的竞争SERS相等,这将抵消分析中的颗粒数量的任何差异或激光通量的任何波动。我们相信,这可能会为在实际样品和应用中测试SERS开辟新的令人兴奋的机会,这将是潜在的未来研究领域。

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