Pseudostellaria heterophylla is a very popular traditional Chinese medicine herb, also called "Taizishen." Discrimination of P. heterophylla from different regions is critical for ensuring the effectiveness of drug use, because the drug effects of P. heterophylla from different regions are diversity of each other. To discriminate P. heterophylla from different regions rapidly and effectively, a model extracted by competitive adaptive reweighted sampling (CARS) was established. Original spectra of P. heterophylla in wave number range of 10,000 to 4,000 cm-1 were acquired. Orthogonal partial least squares discriminant analysis (OPLS-DA) was also used to establish a suitable model. CARS was performed for extracting key wave number variables. We found that the near-infrared spectrum of a series of samples analyzed by Row-center-SG, CARS, and OPLS-DA can effectively distinguish the P. heterophylla from different regions, and the accuracy of OPLS-DA model is also satisfactory in terms of good discrimination rate. These results show that the Row-center-SG, CARS, and OPLS-DA model can be used to identify the P. heterophylla from different regions. PRACTICAL APPLICATION: According to our research results, we can draw a conclusion that our research results may be used to distinguish the traditional Chinese medicine from those from different places of origin and the powder with similar appearance.

中文翻译：

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近红外光谱结合化学计量学方法快速鉴定不同地区的太子参

太子参是一种非常受欢迎的中药材，又名“太子神”。不同地区太子参的鉴别对于保证用药的有效性至关重要，因为不同地区太子参的药效各不相同。为了快速有效地区分不同区域的太子参，建立了竞争自适应重加权采样（CARS）提取模型。获得了 P.heterophylla 波数范围为 10,000 至 4,000 cm-1 的原始光谱。正交偏最小二乘判别分析（OPLS-DA）也用于建立合适的模型。执行 CARS 以提取关键波数变量。我们发现Row-center-SG、CARS、OPLS-DA 可以有效区分不同区域的太子参，OPLS-DA 模型的准确性在良好的判别率方面也令人满意。这些结果表明Row-center-SG、CARS和OPLS-DA模型可用于识别不同地区的太子参。实际应用：根据我们的研究结果，我们可以得出结论，我们的研究结果可以用来区分中药与不同产地的中药和外观相似的粉末。来自不同地区的太子参。实际应用：根据我们的研究结果，我们可以得出结论，我们的研究结果可以用来区分中药与不同产地的中药和外观相似的粉末。来自不同地区的太子参。实际应用：根据我们的研究结果，我们可以得出结论，我们的研究结果可以用来区分中药与不同产地的中药和外观相似的粉末。