4results about How to "Good potential" patented technology

The application discloses a 3-hydroxypyrrolidine derivative and a preparation method and application thereof. The structural formula of the 3-hydroxypyrrolidine derivative is shown in formula (I) or formula (II). The 3-hydroxypyrrolidine derivatives shown in formula (I) and formula (II) are non-diastereoisomers. The 3-hydroxypyrrolidine derivative provided by the application can inhibit the proliferation of RAW264.7 cells, and further inhibit the excessive proliferation of macrophages in immune cells to a certain extent. The 3-hydroxypyrrolidine diastereoisomers are obtained through one-pot reaction of a suitable reaction substrate under the action of a copper catalyst, the reaction condition is simple, and a good yield is obtained, so that the problems of needing to pass through multiple synthesis steps, high reaction risk, low reaction efficiency and low yield in the prior art are solved, and a new green synthesis route for the preparation of the 3-hydroxypyrrolidine derivative is provided.

The application belongs to the technical field of organic synthesis, and particularly relates to a preparation method of a chiral dihydroquinolone compound. The application utilizes N-heterocyclic carbene (NHC) as a catalyst, and generates the chiral dihydroquinolone through a nitrogen hetero-diene Diels-Alder reaction of a chloroaldehyde and an azo-ortho-benzoquinone precursor under the action of NHC and an alkaline reagent. The preparation method of the application does not need to use a transition metal as a catalyst, can perform a reaction under relatively mild conditions, and has the advantages of green environmental protection, low cost, wide substrate selectivity, mild reaction conditions and the like. In addition, by optimizing the reaction conditions of the preparation method, the product has high yield, high purity, unique cis selectivity and excellent enantioselectivity. The application provides a new route and new idea for the chiral dihydroquinolone compound, can play an important role in the fields of drug intermediates and the like, and has good application value and potential.

A method for preparing a core-shell structured silicon suboxide-based anode composite material includes the following steps: a) mixing Mg₂Si, lithium oxide, and silicon suboxide, followed by ball milling, sieving, and a first solid-state reaction, then cooling and undergoing a first pulverization and classification process to obtain a reaction product; b) treating the reaction product obtained in step a) with a weak acid solution, filtering, and washing with water to obtain a carbon-free material; c) mixing the carbon-free material obtained in step b) with an aqueous solution of an organic carbon source, drying, undergoing a second solid-state reaction, cooling, and then undergoing a second pulverization and classification process to obtain a single-layer carbon-coated material; d) performing chemical vapor deposition on the single-layer carbon-coated material obtained in step c) using a carbon source gas, cooling, and then undergoing a third pulverization and classification process to obtain the silicon suboxide-based anode composite material. The silicon suboxide-based anode composite material prepared by the method provided by this invention exhibits both high charge-discharge capacity and high first coulombic efficiency.

The application discloses a multi-mineral rock structure modeling method, device and equipment, relates to the field of rock mechanics, and can model large-scale rock materials with multiple minerals. The method comprises the following steps: detecting the mineral composition of a target rock to obtain the component proportion of multiple mineral components contained in the target rock, determining the anisotropy representation parameter corresponding to the target rock, and the target fractal dimension and target hourglass parameter corresponding to the multiple mineral components; constructing a rock model of the target rock by adopting a bubbling method according to the anisotropy representation parameter and the component proportion; calculating the specified fractal dimension and specified hourglass parameter corresponding to the multiple mineral components in the rock model, and calculating the first difference between the specified fractal dimension and the target fractal dimension and the second difference between the specified hourglass parameter and the target hourglass parameter; and obtaining the target model when the first difference hits a first preset range and the second difference hits a second preset range.