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The potential application of FT-Raman spectroscopy for the quantification and mapping of the steroidal glycoside P57 in Hoodia gordonii

机译:傅立叶变换拉曼光谱法在定居点Hoodia gordonii中甾体糖苷P57定量和作图的潜在应用

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摘要

Hoodia gordonii, with the perceived active ingredient P57 (a steroidal glycoside), is a succulent plant which has gained commercial popularity as an anti-obesity preparation. The content of P57 is used as an indication of the quality of the raw material. Traditionally, quantification of P57 is performed using liquid-chromatography coupled to mass spectrometry (LC-MS) which is expensive and laborious. Vibrational spectroscopy-methods such as FT-Raman spectroscopy offer a simple, less expensive and rapid alternative. The potential of FT-Raman to quantify and identify the location of P57 in H. gordonii raw plant material was investigated. LC-MS was used to determine the concentration of P57 in 145 plant samples and the data was used to develop a calibration model with chemometric techniques based on the partial least squares projections to latent structures (PLS) algorithm. The performance of the calibration model was evaluated according to the root mean square error of prediction (RMSEP) and correlation coefficient (R2). Pre-processing with orthogonal signal correction (OSC) yielded a model which predicted P57 content based on the FT-Raman spectra with a correlation coefficient (R2) value of 0.9986 and an RMSEP of 0.004%. These results demonstrate that FT-Raman spectroscopy holds great potential to rapidly quantify P57 in H. gordonii raw material with high accuracy as an alternative to LC-MS analysis. In addition, the spatial distribution of P57 in a cross-section of an H. gordonii stem sample wasdemonstrated using FT-Raman mapping showing that P57 is concentrated throughout the cortex which was confirmed with LC-MS.
机译:Hoodia gordonii具有感知的活性成分P57(甾体糖苷),是一种多肉植物,已作为抗肥胖症制剂在商业上广受欢迎。 P57的含量用作原材料质量的指标。传统上,P57的定量是通过液相色谱与质谱联用(LC-MS)进行的,这既昂贵又费力。振动光谱法(例如FT拉曼光谱法)提供了一种简单,便宜且快速的替代方法。研究了傅立叶变换拉曼光谱法定量和鉴定戈登汉氏酵母原植物材料中P57的潜力。 LC-MS用于确定145种植物样品中P57的浓度,数据用于基于偏最小二乘投影到潜在结构(PLS)算法的化学计量学技术开发校准模型。根据预测的均方根误差(RMSEP)和相关系数(R2)评估校准模型的性能。通过正交信号校正(OSC)进行预处理,可以得出一个模型,该模型基于FT-拉曼光谱预测P57含量,相关系数(R2)值为0.9986,RMSEP为0.004%。这些结果表明,FT-拉曼光谱法具有很高的潜力,可以快速准确地定量测定戈氏嗜血杆菌原料中的P57,作为LC-MS分析的替代方法。另外,使用FT-Raman作图法证明了H.gordonii茎样品的横截面中P57的空间分布,这表明P57集中在整个皮质中,这通过LC-MS证实。

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