Physicochemical Aspects and Sensory Profiles as Various Potential Factors for Comprehensive Quality Assessment of Nü-Er-Cha Produced from Rhamnus heterophylla Oliv

Correlation analysis and modeling application from objective indicators to subjective evaluation of scented tea: A case study of rose tea

Different scented teas provide various choices for consumers from appearance, aroma, flavor and others. Aiming to define advantages and market positions of different scented teas and promote optimization of market structure, characteristics for scented tea favored by consumers and outstanding attributes of different scented teas should be clarified. Rose tea was taken as study object. Sensory evaluation and consumer acceptance were investigated. GC-MS and HPLC fingerprints were established. Physicochemical characteristics were determined. RGB integration analysis was inventively proposed for correlation analysis. The volatile compounds with spicy, green or herbal odor as camphene, β-phenethyl acetate, eugenol, and physicochemical parameters as antioxidant capacity, reducing sugar content, pH showed positive correlation with popular sensory properties. Six models for consumer preference by objective description were built through GA-SVR (accuracy = 1), and APP was developed. The research mode of scented tea has been successfully established to study multiple subjective characteristics with measurable objective parameters.

Uncovering the first complete chloroplast genomics, comparative analysis, and phylogenetic relationships of the medicinal plants Rhamnus cathartica and Frangula alnus (Rhamnaceae)

Rhamnus cathartica and Frangula alnus are economically valuable medicinal plants from the Rhamnaceae family. However, their chloroplast genome structure, phylogenetic position, relationships, and evolution remain poorly understood. Herein, the complete chloroplast genome resources of R. cathartica and F. alnus have been added. The first comparative analysis of the Rhamnus and Frangula species based on complete chloroplast genomes was provided. The chloroplast genomes of R. cathartica and F. alnus exhibited a quadripartite structure, with total lengths of 161,149 bp and 161,255 bp, respectively. The lack of the infA and psbL genes does not negatively impact the normal functioning of Rhamnus and Frangula species. The rpl20 and rpl33 genes are undergoing rapid evolution. Rhamnus and Frangula species prefer amino acids with A/U-terminal codons. There were between 100 and 126 simple sequence repeats and between 38 and 100 long repeats. Several highly divergent intergenic regions (trnK-UUU-trnQ-UUG, atpH-atpI, trnY-GUA-trnE-UUC, trnG-GCC-trnfM-CAU, trnT-UGU-trnF-GAA, rpl20-rps12, and rpl22-rps19) and highly divergent genes (ycf3, ndhA, rpl32, and ycf1) were identified, which could serve as potential phylogenetic markers due to their variability. We reconstructed the phylogenetic relationships among Rhamnus species and F. alnus using complete chloroplast genomes. There is no significant correlation between the medicinal value of the species analyzed and their phylogenetic relationships. These results provide valuable insights for understanding the phylogenetic relationship and evolution of Rhamnus and Frangula species. These findings could serve as a foundation for future studies on the Rhamnaceae.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12298-023-01331-7.

Major Chemical Compounds and Mineral Elements of Astragalus membranaceus Cultivated on the Qinghai-Tibet Plateau with Different Planting Densities

Astragalus membranaceus is a well-known herb that is widely used in the food and pharmaceutical industries. However, its commercial development has been limited due to wild resource shortages. This study was conducted in 2018 and 2019 to assess the effect of planting density on the major chemical compounds and mineral elements and biomass yield of A. membranaceus. The biomass yield (7,700.956 kg) reached the maximum at M2 planting density in 2018. In 2019, astragaloside IV reached its maximum concentration (0.117 %) at M2 group, which was significantly different from the concentrations obtained at the other groups. Calycosin-7-O-β-D-glucoside (0.062 %) reach its maximum concentration in 2019 at M5, but not significant with M2. The concentration of major chemical compounds among the five groups in 2018 and 2019 all conformed to the Chinese Pharmacopoeia standards. In 2018, the mineral elements (Al, Ba, Fe, Li and Mn) content was higher at M2 than other groups. However, a general decrease in the mineral elements content was observed at M2 group in 2019. Enrichment analysis demonstrated that the enrichment capacity was highest for phosphorus. In conclusion, according to the TOPSIS results, M2 planting density was recommended as the optimal application. For optimal economic benefits, A. membranaceus should be harvested when it is 2 years old.

The qualitative and quantitative assessment of xiaochaihu granules based on e-eye, e-nose, e-tongue and chemometrics

Xiaochaihu granules (XCHG), a famous Chinese patent medicine with high sales, have more than 100 approved number by China Food and Drug Administration (CFDA). Therefore, it is important to evaluate the quality of XCHG from different pharmaceutical companies. The data fusion of electronic eye (e-eye), electronic nose (e-nose) and electronic tongue (e-tongue) combined with chemometrics were applied for qualitative identification and quantitative prediction of XCHG quality. Firstly, main chemical constituents, such as saikosaponin b2, baicalin and glycyrrhizin were quantified with ultra-high-performance liquid chromatography (UHPLC). Secondly, the characteristic features of odor, color, and taste of XCHG were measured by e-nose, e-eye and e-tongue, and the Pearson correlation between constituents and e-signals was analyzed. Thirdly, partial least squares discrimination analysis (PLS-DA) of e-eye, e-nose and e-tongue were classified by the hierarchical clustering analysis (HCA) results of the main constituents of XCHG separately. Finally, partial least-squares regression (PLSR) was used to build the prediction model between components and data fusion of e-eye, e-nose and e-tongue. The results showed that saikosaponin b2, baicalin and glycyrrhizin were the three main components in XCHG samples. in which saikosaponin b2 ranged from 0.280 to 2.186 mg (relative standard deviation (RSD), 62.10 %), baicalin range from 25.883 mg to 49.108 mg (RSD, 16.64 %), and glycyrrhizin ranged from 0.897 mg to 6.052 mg (RSD, 40.32 %) of 31 batches of XCHG in each bag. Pearson correlation results showed that the main constituents were related to the core e-signals of XCHG, such as Eab, bitterness and R2 (odor sensitive to nitrogen oxide). Data fusion of e-eye, e-nose and e-tongue with main constitutes of XCHG using the PLSR model showed that the root mean square error (RMSE) values were 0.320 and 0.090 for saikosaponin b2 and licoricesaponin G2 (P < 0.000). The saikosaponin b2 and licoricesaponin G2 contents in XCHG could be predicted with integrated data of e-nose, e-eye, and e-tongue using the PLSR model.