2 results about "Adenine nucleoside" patented technology

The invention discloses a synthesis method of 2 '-O-methyladenosine, and belongs to the technical field of nucleoside synthesis and medicinal chemistry. According to the method, xylose which is rich in source is taken as an initial raw material, eight-step reaction including acetalation protection, acetylation, glycosylation, deacetylation, methylation, deacetalation protection, Mitsunobu reaction and secondary deacetylation is performed, reaction conditions of each step are accurately controlled, and finally, a target product is synthesized. The method has the advantages of high methylation reaction regioselectivity, mild reaction conditions, cheap and easily available raw materials and controllable cost, and overcomes the problems of poor methylation reaction regioselectivity, harsh reaction conditions and high cost in the existing synthesis method. The obtained product has important application value in the fields of research and development of antiviral drugs, design of nucleic acid probes and the like.

This invention discloses a machine learning-enhanced fluorescence detection method for silver nanoclusters containing split nucleic acid aptamers, used for the detection of adenosine triphosphate (ATP) in aquatic products, belonging to the field of analytical chemistry. This detection method uses two split nucleic acid aptamers of ATP as templates to synthesize DNA-AgNCs. In the presence of the target ATP, a conformational change is induced, resulting in a decrease in fluorescence intensity. Quantitative analysis of ATP is achieved by detecting this fluorescence change. To further improve the detection effect, machine learning is introduced to preprocess the fluorescence spectrum. A recursive feature elimination algorithm is used to screen characteristic wavelengths, and a multi-dimensional feature set is constructed using maximum fluorescence intensity, peak area, and full width at half maximum (FWHM). The optimal classification model is obtained through cross-validation optimization. This invention combines aptamer recognition, DNA-AgNCs, and machine learning to construct a detection method where fluorescence dynamically decreases with increasing ATP concentration. It has advantages such as low cost, simple operation, and good biocompatibility, effectively improving detection sensitivity and stability, and has promising application prospects in the qualitative and quantitative analysis of ATP in aquatic products.