Lue Hong,Zerong Wu,Jiahui Gong,Jiahui Ma,Shengzhi Liu
Alocasia cucullata (Lour.) Schott is a member of the Araceae family and is characterized by its unique leaf morphology and vibrant flowers; thus, it is a valuable addition to gardens and interior decor. However, A. cucullata may contain toxic compounds, including calcium oxalate crystals, lectins, and alkaloids, and their distribution within the plant tissues remains poorly understood. In this study, untargeted metabolomics was used to analyse the distribution of the bioactive compounds across the roots, stems, leaves, and guttation of A. cucullata . The toxic effects of these tissues on the MDA-MB-231 human breast cancer cell line were evaluated using the MTT assay. Microscopic techniques were utilized to examine the microstructure of the guttation and stems, and the focus was on the morphology of the calcium oxalate crystals. Liquid chromatography and ELISA kits were used to quantify the calcium oxalate and lectin contents in the various tissues. The results demonstrated that the active constituents, primarily fatty acids, phenylpropanoids, flavonoids, peptides, and alkaloids, were concentrated in the roots. Notably, guttation exhibited no toxicity and lacked both calcium oxalate crystals and significant lectin levels. This research enhances the understanding of the bioactive composition and safety profile of A. cucullata and provides a theoretical foundation for future scientific investigations and safe cultivation, with implications for both scientific and industrial applications.
Yinping Li,Qing He,Xiaoqing Zhu,Zhufeng Geng,Yi Wang,Jin Li
Daphne altaica Pall. is an important plant in traditional Chinese medicine. Mineral elements play an important role in the formation of active ingredients in medicinal plants. In this study, 14 mineral elements were quantitatively determined by inductively coupled plasma emission spectrometry using the roots, stems and leaves of D. altaica. The distribution variance of mineral elements between different organs were analyzed by statistical analysis methods such as single factor analysis of variance (ANOVA), correlation analysis (CA), principal component analysis (PCA) and cluster heat map. The results show that the mineral element contents in corresponding parts of D. altaica exhibited significant variation, with the order from highest to lowest being K > Ca > Mg > Fe > Al > Mn > Na > Zn > Sr > Cr > Ni > Cu > Pb > Mo. Among them, the highest content of mineral elements are K, Ca, Mg, Mn, Cu and Mo in leaves, and the stems contains more Zn, Sr, Cr and Ni, while the content of mineral elements Fe, Al, Na and Pb in roots is much higher than the other two organs. The ANOVA revealed significant variations in the mineral element content across different regions of D. altaica (p < 0.05). Based on single factor analysis of variance, different parts of D. altaica had different fingerprint of mineral elements, and the concentration of the same mineral elements in different parts had significant difference (p < 0.05). The principal component analysis (PCA) model showed that the cumulative variance contribution rate of first two principal components was 99.10%, in which Mn, Mg and Ca have higher load values, which is consistent with the results of bi-plot and cluster analysis. These results indicated that there were great differences in absorption and utilization of mineral nutrient elements between roots, stems and leaves of D. altaica, and there was significant correlation among mineral elements, indicating that there was a complex synergistic and antagonistic effect among the elements. At the same time, the discriminant analysis of the characteristic elements provided a scientific basis for the quality control of D. altaica.
危险品化学品经营许可证（带存储）