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首页> 外文期刊>Journal of near infrared spectroscopy >Evaluation of Fourier transform-near infrared spectroscopic measurements for the quantification of curcumin in turmeric herbal medicines
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Evaluation of Fourier transform-near infrared spectroscopic measurements for the quantification of curcumin in turmeric herbal medicines

机译:傅里叶变换近红外光谱测量对姜黄草药中姜黄素定量的评估

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In this investigation, Fourier transform-near infrared (FT-NIR) spectroscopy was used to determine the curcumin content in commercial turmeric herbal medicines. Two different sample presentations originating from a turmeric capsule and powder were evaluated and compared using an FT-NIR spectrometer equipped with a 30-capsule sample plate in the wavenumber region of 11,500-6000cm~(-1) (transmittance mode) and a 6-vial sample plate in the wavenumber region of 10,000-4000cm~(-1) (reflectance mode), respectively. One hundred and forty samples of turmeric herbal medicines were divided into two sets: a training set with 110 samples and a prediction set with 30 samples. High-quality FT-NIR spectra for the turmeric powder containing the informative regions of curcumin (6850, 6000 and 4600 cm~(-1)) were obtained while collecting FT-NIR data on the powder samples in the glass vials. A successful partial least-squares calibration model for curcumin content in commercial turmeric herbal medicine powders was then obtained by utilising the entire spectral region (10,000-4000 cm~(-1)) as well as a second derivative spectral pretreatment containing seven principal components. The best model for predicting curcumin in 30 test samples returned a coefficient of determination (r~2) of 0.98, a root mean squares error of prediction (RMSEP) of 0.13% that was only 1.35 times the standard error of laboratory and a ratio of RMSEP to the standard deviation of curcumin content in the prediction set (RPD) of 7.76. These statistical values confirmed the high predictive performance of this model. All these results confirm that the use of turmeric herbal medicine powder and a wide informative wavenumber range of 10,000-4000cm~(-1) can increase the efficacy of FT-NIR spectroscopy for the rapid and non-destructive analysis of curcumin content in commercial turmeric herbal medicines. By contrast, models developed for determining curcumin in turmeric contained in capsules were not suitable for analytical purposes.
机译:在这项研究中,傅里叶近红外光谱(FT-NIR)用于测定姜黄素在商业姜黄中的含量。使用配备有30个胶囊样品盘,波数范围为11,500-6000cm〜(-1)和6-波长的FT-NIR光谱仪的FT-NIR光谱仪评估和比较了两种来自姜黄胶囊和粉末的样品在10,000-4000cm〜(-1)的波数区域内的样品瓶样品板(反射模式)。将140份姜黄草药样品分为两组:训练组110份和预测组30份。在收集玻璃瓶中粉末样品的FT-NIR数据的同时,获得了含有姜黄素信息区(6850、6000和4600 cm〜(-1))的姜黄粉的高质量FT-NIR光谱。然后,通过利用整个光谱区域(10,000-4000 cm〜(-1))以及包含七个主要成分的二次导数光谱预处理,获得了成功的商品姜黄草药粉中姜黄素含量的偏最小二乘校正模型。预测30个样品中姜黄素的最佳模型的测定系数(r〜2)为0.98,预测均方根误差(RMSEP)为0.13%,仅为实验室标准误差的1.35倍,且比率为RMSEP到预测集中的姜黄素含量的标准偏差(RPD)为7.76。这些统计值证实了该模型的高预测性能。所有这些结果证实,使用姜黄草药粉和宽广的信息波数范围10,000-4000cm〜(-1)可以提高FT-NIR光谱对商业姜黄中姜黄素含量的快速和无损分析的功效。草药。相比之下,为确定胶囊中所含姜黄中姜黄素的含量而开发的模型不适用于分析目的。

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