Publications by authors named "Yanjiao Xiong"
Article Synopsis
- Thioamides are significant in pharmaceuticals and agrochemicals, and this report explores their synthesis through visible-light-driven reactions involving amines, carbon disulfide, and olefins.
- The process highlights using inexpensive carbon disulfide for creating diverse amine compounds and introduces a practical method for synthesizing cyclic thiolactams through radical pathways.
- Mechanistic insights indicate that the reactions rely on direct photoexcitation of dithiocarbamate anions and electron transfer with various acceptors, enhancing the efficiency of the synthesis.
The visible-light-promoted deoxygenative radical heteroarylation of alcohols was achieved in the absence of any external photosensitizers. The processes occur through the generation of xanthate salts from alcohols, followed by SET and fragmentation, delivering alkyl radicals to react with heteroaryl sulfones. This method is amenable for a wide range of alcohols with good functional group tolerance, providing a practical strategy for the alkylation of benzo-heteroaromatics.
View Article and Find Full Text PDFDeoxygenative coupling of alcohols with aromatic nitriles enabled by direct visible light excitation.
Org Biomol Chem
December 2023
A general and practical protocol is presented for visible-light-driven deoxygenative coupling of alcohols with aromatic nitriles in the absence of external photocatalysts. Utilizing a hydroxyl activation strategy with carbon disulfide, this C(sp)-C(sp) constructing platform accommodates a broad scope of alcohols and aryl nitriles to deliver various alkyl-substituted arenes. Mechanism studies show that a single electron transfer event between a photoexcited aryl nitrile and a xanthate anion is key to the transformation.
View Article and Find Full Text PDFArticle Synopsis
- The study addresses the challenges of identifying and separating noise sources in industrial machinery, which often have overlapping frequency components.
- The research utilizes three-dimensional sound intensity vectors and a particle swarm optimization algorithm to determine the sound power of each source at different frequencies.
- Experimental results show that the method effectively distinguishes multiple noise sources, demonstrating its potential for improving noise identification in industrial settings.