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近红外光谱快速分析银杏离心液中萜类内酯的含量
Rapid Analysis of Content of Terpene Lactones in Ginkgo Centrifugal Solution by Near Infrared Spectroscopy

DOI: 10.12677/HJMCe.2022.101005, PP. 39-45

Keywords: 银杏离心液,萜类内酯,近红外光谱技术,偏最小二乘法,过程质量控制
Ginkgo Centrifugal Solution
, Terpenoid Lactones, Near Infrared Spectroscopy, Partial Least Squares Method, Process Quality Control

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Abstract:

目的:建立近红外光谱法快速检测银杏离心液中萜类内酯含量的方法。方法:利用近红外光谱仪对银杏离心液样品进行扫描,对其光谱进行预处理和波段选择,并结合偏最小二乘法(partial least squares, PLS)建立萜类内酯含量快速无损检测方法。结果:所建立的模型的决定系数R为0.9177,交叉验证均方根差值为0.0335,对验证集样品进行预测并统计分析,预测值与真实值之间无显著差异(P > 0.05)。结论:所建立的模型准确度高,适用于银杏离心液中萜类内酯含量的快速检测。
Objective: To establish a method for rapid determination of terpenoids in ginkgo centrifugal solu-tion by near infrared spectroscopy. Methods: NIR spectroscopy was used to scan the ginkgo centrif-ugal solution samples, and the spectra were pretreated and the bands were selected. A fast and non-destructive method for the determination of terpenoids was established by partial least squares (PLS) method. Results: The determination coefficients R of the established model were 0.9177, and the root mean square difference of cross-validation were 0.0335, respectively. There was no significant difference between the predicted value and the true value (P > 0.05) after the prediction and statistical analysis of the validation set samples. Conclusion: The established model has high accuracy and is suitable for the rapid determination of terpenoids in ginkgo centrifugal solution.

References

[1]  Kanowski, S., Herrmann, W., Stephan, K., et al. (1996) Proof of Efficacy of the Ginkgo biloba Special Extract EGb 761 in Outpatients Suffering from Mild to Moderate Primary Degenerative Dementia of the Alzheimer Type or Multi-Infarct Dementia. Pharmacopsychiatry, 29, 47-56.
https://doi.org/10.1055/s-2007-979544
[2]  Stoll, S., Scheuer, K., Pohl, O., et al. (1996) Ginkgo biloba Extract (EGb 761) Independentil Improves Changes in Passive Avoidance Learning and Brain Membrance Fluidity in the Aging Mouse. Pharmacopsychiatry, 29, 144-149.
https://doi.org/10.1055/s-2007-979561
[3]  Sun, Y., Tang, C., Wu, X., et al. (2012) Characterization of Alkylphe-nol Components in Ginkgo biloba Sarcotesta by Thermochemolysis—Gas Chromatography/Mass Spectrometry in the Presence of Trimethylsulfonium Hydroxide. Chromatographia, 75, 387-395.
https://doi.org/10.1007/s10337-012-2211-y
[4]  习王博, 任晓文, 李洪起, 等. 星点设计——效应面法优化银杏酮酯包合物的制备工艺[J]. 中草药, 2011, 42(2): 262-265.
[5]  Vellas, B., Coley, N., Ousset, P., et al. (2012) Long-Term Use of Standardised Ginkgo biloba Extract for the Prevention of Abheimei’s Disease (GuidAge): Arn-domised Placebo-Controlled Trial. The Lancet Neurology, 11, 851-859.
https://doi.org/10.1016/S1474-4422(12)70206-5
[6]  汪海峰, 鞠兴荣. 高效液相色谱法快速测定银杏叶提取物中的菇类内酷[J]. 色谱, 2000, 18(5): 394-397.
[7]  陈燕舞, 廉世勋, 尹笃林. 烟草中烟碱的高效液相色谱分析综述[J]. 烟草科技, 2006(1): 43-45.
[8]  徐广通, 袁洪福, 陆婉珍. 现代近红外光谱技术及应用进展[J]. 光谱学与光谱分析, 2000, 20(2): 134-142.
[9]  籍保平. 近红外光谱技术在农产品加工中的应用[J]. 加工与食品机械, 2000(6): 31-33.
[10]  刘沐华, 张学工, 周群, 等. 近红外漫反射光谱法和模式识别技术鉴别中药材产地[J]. 光谱学与光谱分析, 2006(34): 171-174.
[11]  韩赟, 季苏丹, 李成, 等. 近红外在线分析技术在粮食领域的应用[J]. 粮食与食品工业, 2021, 28(3): 6-8.
[12]  王超, 李朋成, 杨凯, 等. 近红外光谱烟叶质量等级快速检测与等级特征分析[J]. 光谱学与光谱分析, 2021, 41(3): 943-947.

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