Plants from the Chrysanthemum genus are rich sources of chemical diversity and, in recent years, have been the focus of research on natural products chemistry. Sesquiterpenoids are one of the major classes of chemical constituents reported from this genus. To date, more than 135 sesquiterpenoids have been isolated and identified from the whole genus. These include 26 germacrane-type, 26 eudesmane-type, 64 guaianolide-type, 4 bisabolane-type, and 15 other-type sesquiterpenoids. Pharmacological studies have proven the biological potential of sesquiterpenoids isolated from Chrysanthemum species, reporting anti-inflammatory, antibacterial, antitumor, insecticidal, and antiviral activities for these interesting molecules. In this paper, we provide information on the chemistry and bioactivity of sesquiterpenoids obtained from the Chrysanthemum genus which could be used as the scientific basis for their future development and utilization.

Chrysanthemum tea, a typical health tea with the same origin as medicine and food, is famous for its unique health benefits and flavor. The taste and sensory quality of chrysanthemum (Juhua) tea are mainly determined by secondary metabolites. Therefore, the present research adopted untargeted metabolomics combined with an electronic tongue system to analyze the correlation between the metabolite profiles and taste characteristics of different varieties of chrysanthemum tea. The results of sensory evaluation showed that there were significant differences in the sensory qualities of five different varieties of chrysanthemum tea, especially bitterness and astringency. The results of principal component analysis (PCA) indicated that there were significant metabolic differences among the five chrysanthemum teas. A total of 1775 metabolites were identified by using untargeted metabolomics based on UPLC-Q-TOF/MS analysis. According to the variable importance in projection (VIP) values of the orthogonal projections to latent structures discriminant analysis (OPLS-DA), 143 VIP metabolites were found to be responsible for metabolic changes between Huangju and Jinsi Huangju tea; among them, 13 metabolites were identified as the key metabolites of the differences in sensory quality between them. Kaempferol, luteolin, genistein, and some quinic acid derivatives were correlated with the “astringency” attributes. In contrast, l-(-)-3 phenyllactic acid and L-malic acid were found to be responsible for the “bitterness” and “umami” attributes in chrysanthemum tea. Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis showed that the flavonoid and flavonol biosynthesis pathways had important effects on the sensory quality of chrysanthemum tea. These findings provide the theoretical basis for understanding the characteristic metabolites that contribute to the distinctive sensory qualities of chrysanthemum tea.

The dried fruit of Chaenomeles speciosa, known as Chaenomelis Fructus or Zhoupi Mugua, is a type of traditional Chinese medicine (TCM) that is widely used to treat many diseases. Guangpi Mugua, the dried fruit of the Chaenomeles sinensis, is its most commonly known adulterant. To establish a robust approach for the quality control and identification of Chaenomelis Fructus. Thin-layer chromatography (TLC) was optimized and used to discriminate Chaenomelis Fructus from Guangpi Mugua. High-performance liquid chromatography (HPLC) combined with fingerprint analysis and partial least-squares (PLS) discrimination analysis (DA) was employed to study the chemical differences between Chaenomelis Fructus and Guangpi Mugua. The single standard to determine multi-components (SSDMC) method, with credible precision, repeatability, stability, and durability, was developed for quantitative analysis of the abundant markers. The developed TLC and HPLC methods were effective in the authentication of Chaenomelis Fructus. Moreover, oleanolic acid, ursolic acid, pomolic acid, corosolic acid, 3-O-acetylpomolic acid, and one unknown compound were identified to be critical markers for the discrimination of Chaenomelis Fructus from Guangpi Mugua. Adulteration has always been a challenge in the development of TCM. This study presents useful insights that may help solve the problem of adulteration during the preparation of Chaenomelis Fructus. The present study provides a systematic method for the quality control of Chaenomelis Fructus. This is therefore the first step towards solving the problem of adulteration to improve the clinical safety and effectiveness of Chaenomelis Fructus.

LC-MS is widely utilized in identifying and tracing plant-derived food varieties but quality control markers screening and accurate identification remain challenging. The adulteration and confusion of Chrysanthemum flowers highlight the need for robust quality control markers. This study established an efficient workflow by integrating UHPLC-Orbitrap-MS/MS with Compound Discoverer and chemometrics. This workflow enabled the systematic screening of 21 markers from 10,540 molecular features, which effectively discriminated Chrysanthemum flowers of different species and cultivars. The workflow incorporated targeted and untargeted methods by employing diagnostic product ions, fragmentation patterns, mzCloud, mzVault, and in-house databases to identify 206 compounds in the flowers, including 17 screened markers. This approach improved identification accuracy by reducing false positives, eliminating in-source fragmentation interference, and incorporating partial verification utilizing our established compound bank. Practically, this workflow can be instrumental in quality control, geolocation determination, and varietal tracing of Chrysanthemum flowers, offering prospective use in other plant-derived foods.

Background: Chewable areca products are popular in Asian countries, including India, Pakistan, Malaysia, and China. The major alkaloids present in areca products are guvacine, arecaidine, guvacoline, and arecoline which cause carcinogenicity and addiction. Objective: The objective of this study was the quantitative analysis of the alkaloid content of areca chewable products from different countries and regions using HPLC-UV, as well as the benefit of their safety evaluation products. Method: An HPLC-UV method was established for qualitative and quantitative analyses of 65 batches of areca chewable products from different countries and regions. Additionally, similarity evaluation of chromatographic fingerprints was applied for data analysis. Results: These results reveal a significant variation in the levels of areca alkaloids among tested products, specifically guvacoline (0.060–1.216 mg/g), arecoline (0.376–3.592 mg/g), guvacine (0.028–1.184 mg/g), and arecaidine (0.184–1.291 mg/g). There were significant differences in the alkaloid content of areca chewable products from different producing areas. Conclusions: The method will be useful in the safety evaluation of different areca chewable products. Highlights: The established HPLC-UV method can be adopted for safety evaluation of areca chewable products from different countries and regions due to its general applicability.

• LC-MS, HPLC, and TLC methods were developed to analyze citrus by-products. • The differential compounds were screened from the 214 compounds identified. • Five citrus by-products showed different DPPH and ABTS radical scavenging abilities. • The spectrum-effect relationship revealed the antioxidant-contributing compounds. • The screened biomarkers was validated via online HPLC-DPPH antioxidant assay.