Publications by authors named "Yu-Ying Ge"
Article Synopsis
- * Four inorganic elements—manganese (Mn), bismuth (Bi), cadmium (Cd), and rubidium (Rb)—were identified as key markers that distinguish the two species, with specific content differences observed.
- * The research provides insights into how these elemental differences could affect the medicinal properties of the plants and suggests a direction for future studies on their quality control and pharmacological effects.
Prunella vulgaris, aptly named for its withering at the summer solstice, displays significant variation in quality arising from differing harvest time. However, research on the chemical composition changes of its spikes at various stages is limited, and the specific metabolites remain unclear. In order to elucidate the metabolites and metabolic pathways of the spikes of P.
View Article and Find Full Text PDFIn managing unique complexities associated with Chinese medicinal quality assessment, metabolomics serves as an innovative tool. This study proposes an analytical approach to assess differing qualities of （）Hemsl by identifying potential biomarker metabolites and their activity with the corresponding secondary metabolites. The methodology includes four steps; first, a GC-MS based metabolomics exploration of the Hemsl.
View Article and Find Full Text PDF[Effects of and on seed germination and seedling growth of invasive plants].
Ying Yong Sheng Tai Xue Bao
July 2020
Article Synopsis
- Invasive plants threaten native species by impeding their survival and reproduction, particularly through a process called allelopathy.
- This study focuses on how two native moss species affect the germination and growth of two invasive plant species, demonstrating that the moss clumps significantly inhibit the invasive plants' germination rates.
- Results showed that moss water extracts also reduced germination metrics in invasive plants, indicating that mosses can moderately hinder the growth of these invasive species, especially at higher concentrations.
A method for on-line monitoring the dissolution of Valsartan and hydrochlorothiazide tablets assisted by mathematical separation model of linear equations was established. UV spectrums of valsartan and hydrochlorothiazide were overlapping completely at the maximum absorption wavelength respectively. According to the Beer-Lambert principle of absorbance additivity, the absorptivity of Valsartan and hydrochlorothiazide was determined at the maximum absorption wavelength, and the dissolubility of Valsartan and hydrochlorothiazide tablets was detected by fiber-optic dissolution test (FODT) assisted by the mathematical separation model of linear equations and compared with the HPLC method.
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