GC–MS explores health care components in the extract of Pterocarpus Macarocarpus Kurz

Abstract

Pterocarpus is often used to make high-grade furniture, with beneficial health functions on the human body. Therefore, this article with large fruit red sandalwood as an example, to explore its extract on the human body beneficial health care ingredients. FT-IR analysis, in the 2855-3421 cm wave segment, ethyl acetate after extraction of large fruit red sandalwood powder infrared transmittance increased the maximum value; GC-MS analysis, large fruit red sandalwood in the human body with a cough and phlegm, detoxification and enhance human immunity and other effects. Among them, Homopterocarpin in the inhibition and killing of cancer cell activity outstanding performance. Cryptomeridiol is a natural product with anti-Alzheimer's disease and antispasmodic properties, with significant medicinal value.

The complete chloroplast genome sequence of Pterocarpus macrocarpus

“…The heartwood of P. macarocarpus is a kind of expensive reddish hardwood for making furniture and handicrafts (Li 2018). The wood aroma of P. macarocarpus can promote human blood circulation and enhancing the body's immune function (Chen et al 2018). The homopterocarpin from P. macarocarpus showed anti-cancer activity with outstanding performance and cryptomeridiol from P. macarocarpus is a natural product with anti-Alzheimer's disease and antispasmodic properties (Jiang et al 2018).…”

Different solvent extract of Toona sinensis wood by FT-IR and GC-MS

“…Ethanol, methanol and benzene/ethanol (1:1) were chromatographic grade, and were used for the test. Cotton thread and cotton bag were both extracted by ethanol, methanol, benzene/ethanol (1:1) solution for 12h [26].…”

Analysis of the Volatile Components in Selaginella doederleinii by Headspace Solid Phase Microextraction-Gas Chromatography-Mass Spectrometry

“…It was indicated that the chemical composition of Zhejiang SD was not as stable as Guizhou SD. As shown in the PCA loading plot model (in Figure 3B), the first principal component (PC1) explained 57.2% of the variance and was mainly represented by the linear combination of the following variables: Zingerone (49), 7-tetradecene (26), dodecanal (20), trans,trans-2,4-nonadienal (14), tetradecane (27), beta-asarone 44…”

“…Hierarchical cluster analysis (HCA), principal component analysis (PCA), and partial least squares discriminant analysis (PLS-DA) are the representative methods to analyze chemical data, establish a model for quality control, and perform classification. Recently, multivariate statistical analysis was usually integrated with chemical analysis, which played an important role for the quality evaluation of natural products [14][15][16][17]. The statistical regularity of multiple objects and multiple indicators could be analyzed, which is helpful for component-based classification [18].…”