Brangule Agnese, Šukele Renāte, Bandere Dace
Department of Human Physiology and Biochemistry, Riga Stradiņš, University, Riga, Latvia.
Department of Pharmaceutical Chemistry, Riga Stradiņš, University, Riga, Latvia.
Front Plant Sci. 2020 Apr 17;11:356. doi: 10.3389/fpls.2020.00356. eCollection 2020.
This study demonstrates the significant potential of the Fourier transform infrared spectroscopy (FTIR) sampling methods: cantilever-enhanced Fourier transform infrared photoacoustic spectroscopy (FTIR PAS) and diffuse reflectance infrared spectroscopy (FTIR DRIFT) in the field of herbal medicines (HM). In the present work we investigated DRIFT and PAS sampling methods because they do not require sample preparation, samples may be opaque or dark, require small amounts, both liquid and solid samples can be measured, and solid samples can be analyzed on a small scale. Experiments conducted prove high sensitivity, reproducibility and capability in combination with an unsupervised multivariate analysis technique to discriminate important characteristics of HM, such as the identification of plant parts, differentiation of samples by types, and determination of the concentration of extractable compounds in HM.
本研究证明了傅里叶变换红外光谱(FTIR)采样方法:悬臂增强傅里叶变换红外光声光谱(FTIR PAS)和漫反射红外光谱(FTIR DRIFT)在草药(HM)领域的巨大潜力。在本工作中,我们研究了DRIFT和PAS采样方法,因为它们不需要样品制备,样品可以是不透明或深色的,所需样品量少,液体和固体样品均可测量,并且固体样品可以进行小规模分析。进行的实验证明了其具有高灵敏度、可重复性以及与无监督多变量分析技术相结合来区分草药重要特征的能力,例如植物部位的鉴定、按类型区分样品以及测定草药中可提取化合物的浓度。