Department of Chemistry, University of Wrocław, 14 F. Joliot-Curie, 50-383 Wrocław, Poland.
Department of Pharmacognosy and Herbal Medicines, Faculty of Pharmacy, Wroclaw Medical University, 211a Borowska, 50-556 Wrocław, Poland.
Molecules. 2022 Jun 20;27(12):3954. doi: 10.3390/molecules27123954.
Poplar bark and leaves can be an attractive source of salicylates and other biologically active compounds used in medicine. However, the biochemical variability of poplar material requires a standardization prior to processing. The official analytical protocols used in the pharmaceutical industry rely on the extraction of active compounds, which makes their determination long and costly. An analysis of plant materials in their native state can be performed using vibrational spectroscopy. This paper presents for the first time a comparison of diffuse reflectance in the near- and mid-infrared regions, attenuated total reflection, and Raman spectroscopy used for the simultaneous determination of salicylates and flavonoids in poplar bark and leaves. Based on 185 spectra of various poplar species and hybrid powdered samples, partial least squares regression models, characterized by the relative standard errors of prediction in the 4.5-9.9% range for both calibration and validation sets, were developed. These models allow for fast and precise quantification of the studied active compounds in poplar bark and leaves without any chemical sample treatment.
杨属植物的树皮和叶子可能是水杨酸酯和其他用于医学的生物活性化合物的有吸引力的来源。然而，杨属植物材料的生化变异性在加工前需要标准化。制药行业中使用的官方分析方案依赖于活性化合物的提取，这使得它们的测定既漫长又昂贵。可以使用振动光谱法对植物材料在其天然状态下进行分析。本文首次比较了近红外和中红外区域的漫反射、衰减全反射和拉曼光谱，用于同时测定杨属植物树皮和叶子中的水杨酸酯和类黄酮。基于各种杨属植物和杂种粉末样品的 185 个光谱，建立了偏最小二乘回归模型，其校准集和验证集的预测相对标准误差分别在 4.5-9.9%范围内。这些模型允许在不进行任何化学样品处理的情况下，快速准确地定量杨属植物树皮和叶子中的研究活性化合物。
