Analysis of the Volatile Components in Different Parts of Three Species of the Genus Amomum 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 Amomum tsaoko, Amomum paratsaoko, and Amomum koenigii. 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 Amomum, which were further divided into nine categories: terpenoids, carboxylic acids, alcohols, hydrocarbons, aldehydes, ketones, phenols, ethers, and other compounds. Terpenoids and alcohols were the most abundant. The content and types of compounds vary in A. tsaoko, A. paratsaoko, and A. koenigii, so mixing or substituting them is not advisable. We selected 45 metabolites based on the criteria of the variable importance in projection values (VIP > 1.5) and one-way ANOVA (p < 0.05). The top 19 metabolites with the most significant VIP values were chosen. Interestingly, (Z)-2-decenal was only found in Amomum koenigii, while nitroethane and nonanal were only present in cultivated A. tsaoko. Additionally, linalool, cineole, and (D)-limonene were the main components affecting the aroma of three species of the genus Amomum. The volatile components identified in this study provide a theoretical basis for analyzing the unique flavor of A. tsaoko, A. paratsaoko, and A. koenigii.

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. On one hand, a total of 81 metabolites were successfully identified by GC-MS. Thirty-seven differential metabolites were screened using variable important in projection (VIP ≥ 1). However, the orthogonal partial least squares discriminant analysis (OPLS-DA) model established using GC-MS data only explained about 30% of the variation. On the other hand, the partial least squares discriminant analysis (PLS-DA) models with three spectral data fusion strategies were compared, and their classification accuracy reached 100%. Among them, the mid-level data fusion model based on latent variables had the best performance. This study provides a powerful tool for distinguishing different Zingiberaceae spices and assists in reducing the occurrence of substitution and adulteration phenomena.

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

Introduction: Polygonatum kingianum 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. Results: The untargeted GC-MS technique identified a total of 333 metabolites. The relative content accounted for sugars (43%), acids (20%), amino acids (18%), nucleotides (6%), and esters (3%). The multiple steaming and roasting samples contained more sugars, nucleotides, esters and flavonoids but fewer amino acids. The sugars are predominantly monosaccharides or small molecular sugars, mainly due to polysaccharides depolymerization. The heat treatment reduces the amino acid content significantly, and the multiple steaming and roasting methods are not conducive to accumulating amino acids. The multiple steaming and roasting samples showed significant differences, as seen from principal component analysis (PCA) and hierarchical cluster analysis (HCA) based on GC-MS and FT-NIR. The partial least squares discriminant analysis (PLS-DA) based on FT-NIR can achieve 96.43% identification rate for the processed samples. Discussion: This study can provide some references and options for consumers, producers, and researchers.

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

The effects of twelve different pre-drying and drying methods on the chemical composition in the pericarp and kernel of Amomum tsao-ko 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. These compounds were not only significantly affected by pre-drying and drying methods but also varied in content due to different tissue locations. The total volatile content of pericarp varied from 0.70 to 1.55%, with the highest obtained by microwave-dried samples (150 W) and the lowest in freeze-dried samples. The total volatile content of the kernel varied from 6.11 to 10.69%, with the highest content obtained during sun drying (SD) and the lowest content in samples treated with boiling water for 2 min. Oxygenated monoterpenes were the highest compounds in pericarp and kernel, which were also the most affected by drying methods. The highest content of oxygenated monoterpenes in the pericarp (0.77%) could be obtained by boiling water treatment for 5 min, and the highest content of oxygenated monoterpenes in the kernel (7.48%) could be obtained by SD. Additionally, the main components such as 1,8-cineole, 2-carene, (Z)-citral, nerolidol, (Z)-2-decenal, (E)-2-dodecenal, citral, (E)-2-octenal, 4-propylbenzaldehyde, and phthalan showed remarkable variations in pre-drying and drying methods.

[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. They have anti-aging,anti-tumor,immunomodulation,antibacterial,antiviral,hypoglycemic and blood lipid effects. With the development of health industry,Polygonati Rhizome used as medicine and food has attracted great attention in recent years,and has become a research hotspot. However,the material basis of its efficacy is unclear and the product quality is uneven,which seriously limited the rapid upgrading of the industry. This review summarizes Polygonatum plants system classification,the chemical composition and pharmacological activity to provide theoretical basis for the development and utilization of Polygonatum plants.

[Species and ecological control of disease on cultivated Gentiana rigescens in Yunnan].

OBJECTIVE: To find out variety of the fungal diseases of cultivated Gentiana rigescens and provide important basis for prevention. METHODS: The diseases were diagnosed based on field investigate, symptoms observation, pathogen isolation, determination the size of morphological and verification following the Koch's Postulate procedures. RESULTS: Anthracnose (Colletotrichum gloeosporioides), grey mould (Botrytis cinerea), brown spot (Alternaria tenuis), rust (Aecidiumpers), circular spot (Pestalotiopsis), leaf blight (Stemphylium, Ascochyta, Pleospora) and nematodes (Heterodera spp., Meloidogyne spp.) were found on Gentiana rigescens. Anthracnose was the first main disease, the diseased plant rate was over 40% and disease severity was 4 - 5 degree and second disease was rust, incidence of rate was less 10% and other diseases rate was not enough 2%. CONCLUSION: All these diseases on Gentiana rigescens are reported for the first time and Gentiana rigescens is the new host plant of the diseases.

[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. RESULT: Correlation analysis showed that there were significantly positive correlation between the traits of aboveground part and the length, diameter, number, and biomass of the root. Multiple stepwise regression analysis showed that length, width, and number of root, plant height, the first branch number, and the calyx number were the main factors that affected the root biomass. Path analysis showed that the diameter, length, and number of the root, the stem height, and the first branch number had a direct positive effect on the root biomass. CONCLUSION: The traits, such as high and strong stem, high number of first branch number and shrubby shape could be selected for the breeding and high yielding of G. rigescens.

[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. RESULT AND CONCLUSION: The most suitable temperature for the seed germination was 25 degrees C, at which the germination rate was 76.33%. The effect of lightness on the seeds was significantly; the germination rate of the seed was very low. Under the natural condition, the best storage method was dry storage (within 6 months), which could promote the after-ripening of the seed. 100-1 000 mg x L(-1) gibberellic acid could significantly reduce the seed germination time, and 500 mg x L(-1) gibberellic acid increased the germination rate of the seed to 95.00%.

[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. annua germplasm resources were measured by the visual observation and measurement methods. And the correlation analysis, regression analysis and path analysis were adopted. RESULT: The result showed that there were significant differences in the artemisinin content and yield of 63 germplasm resources from the main production region of A. annua. Correlation analysis showed that there were significantly positive correlation between leaf weight and artemisinin yield with stem and branch characters, but there were negative correlation between artemisinin content with leaf characters of A. annua plant. The artemisinin content of A. annua increased with the increasing of primary branch number, bottom secondary branch number, and bottom stem diameter, etc. On the other hand, it decreased with the increasing of top secondary branch number, secondary leaf axis length, and bottom branch diameter, etc. The artemisinin yield of A. annua increased with the increasing of artemisinin content, leaf weight, and bottom secondary branch number, etc., and decreased with the increasing of bottom branch diameter, middle secondary branch number, and stem weight, etc. Path analysis showed that the primary branch number and bottom secondary branch number had a direct positive effect on the artemisinin content of A. annua. But the top secondary branch number had a direct negative effect on the artemisinin content of A. annua. The leaf weight and artemisinin content had a direct positive effect on the artemisinin yield and the ratio of leaf/stem, branch weight and stem weight had a direct negative effect. CONCLUSION: On the breeding A. annua variety, it can take into account both high leaf yield and high artemisinin content. And it was strongly recommend that the plant with moderate plant height and crown, shortness pinnae and secondary leaf axis, less middle and top secondary branch, strong stem, higher primary branch number and bottom secondary branch number, and higher ratio leaf/stem could be selected for breeding new varieties with high leaf yield and high artemisinin content.

[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. annua germplasm resources were measured by the visual observation and measurement methods. And the germplasm resources were clustered using flexible-beta method to analysis their genetic background. RESULT: The result showed that 67 germplasm resources had a relatively wide variation on the 22 agronomic traits. Among 22 agronomic traits, the dry weight of branch had the greatest coefficient of variation, which was 53. 63, and the next were the dry weight of leaf, total plant weight, the length of pinnules and the length of leaflet, which were 42.74, 41.61, 39.54 and 39.22 respectively. The smallest coefficient of variation was the leaf corlor. Based the result of cluster analysis, these 67 germplasm resources were classed into 5 groups, and each group had its respective character. The first group showed early-maturing resources, dwarf stalk, slender rod, long bipinnata, high leaf-stem ratio and moderate leaf weight The third group showed late-maturing resources, tall and thick stalk, much-branch, bushy accessory pinna, high leaf weight and yield. The fifth group showed very late-maturing resources, strong lateral shoot, high leaf yield. CONCLUSION: There were significant genetic difference and diversity in the germplasm resources of A. annua. The result of cluster analysis showed that the resources of group 1, group 3 and group 5 were suitable as breeding material of A. annua.