Analysis of the Volatile Components in Different Parts of Three Species of the Genus via Combined HS-SPME-GC-TOF-MS and Multivariate Statistical Analysis.

The study used headspace solid-phase microextraction coupled with gas chromatography-time-of-flight mass spectrometry (HS-SPME-GC-TOF-MS) to analyze volatile compounds in leaves and fruits of , , and . The composition and aroma of distinct metabolites were analyzed using multivariate statistical methods. A total of 564 volatile compounds were identified from three species of the genus , which were further divided into nine categories: terpenoids, carboxylic acids, alcohols, hydrocarbons, aldehydes, ketones, phenols, ethers, and other compounds.

Comparison of Metabolites and Species Classification of Thirteen Zingiberaceae Spices Based on GC-MS and Multi-Spectral Fusion Technology.

Due to a similar plant morphology in the majority of Zingiberaceae spices, substitution and adulteration frequently take place during the sales process. Therefore, it is important to analyze the metabolites and species classification of different Zingiberaceae spices. This study preliminarily explored the differences in the metabolites in thirteen Zingiberaceae spices through untargeted gas chromatography-mass spectrometry (GC-MS) and combined spectroscopy, establishing models for classifying different Zingiberaceae spices.

Untargeted GC-MS and FT-NIR study of the effect of 14 processing methods on the volatile components of .

Introduction: is a traditional medicinal plant, and processing has significantly impacts its quality.

Methods: Therefore, untargeted gas chromatography-mass spectrometry (GC-MS) and Fourier transform-near-infrared spectroscopy (FT-NIR) were used to analyze the 14 processing methods commonly used in the Chinese market.It is dedicated to analyzing the causes of major volatile metabolite changes and identifying signature volatile components for each processing method.

Effects of Different Pre-drying and Drying Methods on Volatile Compounds in the Pericarp and Kernel of .

The effects of twelve different pre-drying and drying methods on the chemical composition in the pericarp and kernel of were studied. The volatile components were isolated from the samples by simultaneous distillation and extraction and analyzed by gas chromatography-mass spectrometry (GC-MS). Sixty and thirty-eight compounds were identified from pericarp and kernel, respectively, and the main constituents were oxygenated monoterpenes.

[Research progress in chemical constituents in plants of Polygonatum and their pharmacological effects].

Polygonatum plants are perennial plants of Liliaceae. There are about 60 species reported at home and abroad,32 species in China,mainly distributed in the north temperate zone. Their main chemical components are steroidal saponins,polysaccharides,flavonoids,alkaloids,etc.

[Correlation and path analysis on agronomic traits of Gentiana rigescens].

Objective: The interrelation of yield and agronomic traits of Gentiana rigescens was studied for the germplasm and breeding variety of this species.

Method: Twelve agronomic traits, root diameter, root length, root number, root biomass, stem diameter, plant height, the first branch number, leaf length, leaf width, leaf length/leaf width ratio, calyx length, and calyx number of G. rigescens from 26 wild populations in Yunnan were determined for correlation analysis, multiple stepwise regression analysis and path analysis.

[Seed germination characteristics of Gentiana rigescens].

Objective: To investigate the influences of temperature, lightness, storage method, storage time, and gibberellin on seed germination of Gentiana rigescens.

Method: The germination rates of G. rigescens in different treatments were observed.

[Diversity and cluster analysis on agronomic traits of Artemisia annua germplasm resources in Yun-Gui plateau].

Objective: To evaluate the diversity of germplasm resources of Artemisia annua and provide the basis for improving utilization of germplasm resources, the agronomic traits of germplasm resources of A. annua were studied in Yun-Gui plateau.

Method: The agronomic traits of 67 A.

[Correlation and path analysis on artemisinin content and yield with different agronomic traits of Artemisia annua].

Objective: To provide the basis for improving utilization of Artemisia annua germplasm resources and breeding variety, the interrelations between artemisinin content, artemisinin yield and agronomic traits of A. annua were studied.

Method: The artemisinin content and each agronomic trait of 63 A.