Duvoglustat Hydrochloride

With economic development and the diversification and improvement of consumption patterns, there is a growing concern about food health. Mulberry leaves, a kind of natural resource with the homology of medicinal and edible properties, contain various bioactive compounds. In this study, the key active constituents, including tea polyphenols, γ-aminobutyric acid (GABA), and 1-deoxynojirimycin (DNJ), in mulberry leaf white tea were characterized after different withering methods. Additionally, the effects of different withering methods on volatile and non-volatile compounds were analyzed using metabolomics. The findings indicated that non-volatile metabolites were primarily upregulated across all withering methods. Metabolic pathway analysis identified starch and sucrose metabolism and glycerophospholipid metabolism as the key pathways influenced.

We have previously reported the electrochemical analysis that is coupled with the concept of acid-base back titration and the electrochemical sensing for acids based on the reduction of 3,5-di-tert-butyl-1,2-benzoquinone (DBBQ) for determining inorganic basic compounds and amino acids. The purpose of this study is to develop a regression equation to estimate quantifiable basic compounds by this electrochemical analysis. Through the analysis of 23 compounds with various basic and acidic groups, we found that there are some quantifiable and non-quantifiable basic compounds. For example, 4-aminophenol is quantifiable because the reduction prepeak current height of DBBQ derived from surplus HCl after neutralization with 4-aminophenol was linearly decreased with increasing 4-aminophenol concentration (r² = 0.988). In contrast, 4-aminobenzoic acid is non-quantifiable because the above voltammetric behaviors were not observed. From the relationships between the predicted pK_b and pK_a values of the quantifiable and non-quantifiable compounds, we found that a quantifiable basic compound without an acidic group satisfies pK_b < 12, and a quantifiable basic compound with an acidic group satisfies the following equation: pK_b < -0.0399(pK_a)² + 1.25pK_a + 2.12. These findings are useful to predict interfering substances in analyses of real samples with complicated matrixes and to estimate quantifiable basic compounds by this electrochemical analysis.