- Chemical Synthesis and Reactions
- Spectroscopy and Chemometric Analyses
- Sulfur-Based Synthesis Techniques
- Metal-Organic Frameworks: Synthesis and Applications
- Catalytic C–H Functionalization Methods
- Traditional Chinese Medicine Analysis
- Remote Sensing in Agriculture
- Leaf Properties and Growth Measurement
- Synthetic Organic Chemistry Methods
- Nanoplatforms for cancer theranostics
- Cell Image Analysis Techniques
- Computational Drug Discovery Methods
- Covalent Organic Framework Applications
- Advanced Synthetic Organic Chemistry
- Molecular Sensors and Ion Detection
- Chemical Synthesis and Analysis
- Essential Oils and Antimicrobial Activity
- Synthesis and Catalytic Reactions
- Inorganic Chemistry and Materials
- Remote Sensing and Land Use
- Advanced Nanomaterials in Catalysis
- Chemical synthesis and alkaloids
- Cancer Treatment and Pharmacology
- Spectroscopy Techniques in Biomedical and Chemical Research
- Metabolomics and Mass Spectrometry Studies
Henan University of Technology
2023-2025
Shandong University of Technology
2023-2024
Zhejiang Sci-Tech University
2023-2024
China National Pharmaceutical Group Corporation (China)
2024
Guangzhou University
2024
Zhejiang Chinese Medical University
2024
Shanxi Agricultural University
2024
Guangzhou University of Chinese Medicine
2023
China Agricultural University
2019
Luminescent metal–organic frameworks (LMOFs) have emerged as promising luminescent sensors for remarkable and selective sensing towards Fe 3+ Cu 2+ via a “turn-off/turn-on” strategy.
Abstract Green synthesis of stable metal‐organic frameworks (MOFs) with permanent and highly ordered porosity at room temperature without needing toxic harmful solvents long‐term high‐temperature reactions is crucial for sustainable production. Herein, a rapid environmentally friendly strategy reported to synthesize the complex topological bismuth‐based‐MOFs (Bi‐MOFs), [Bi 9 (C H 3 O 6 ) (H 2 O) ] (denoted CAU‐17), in water under ambient conditions by surfactant‐mediated sonochemical...
A novel and simple catalytic protocol for the synthesis of thioesters from pyridinamides disulfides has been developed, where pyridinamide was used as a cheap, efficient relatively safe carbonyl source. Diverse substituted are capable coupling with diaryl via N-C/S-S cleavage to produce desirable in moderate good yields. This procedure employs convenient conditions accommodates wide range amide substrates, offering straightforward pathway prepare various without use toxic thiols or carbon...
A novel palladium-catalyzed convenient synthesis of thioesters from various carboxylic acids and disulfides has been developed.
Herein, we present a Ni-catalyzed direct cross-coupling of heteroaromatic thioethers with aryl iodides via selective C(sp2)–S bond cleavage under reductive conditions, thereby providing various biaryl frameworks high efficiency. Mechanistic studies suggested Mo(CO)6 played crucial role in facilitating the activation bond. This protocol demonstrated wide substrate scope, operational simplicity, and good functional group compatibility. Furthermore, utility this reaction was highlighted by...
A Catellani-type α-alkoxycarbonylation/ ipso -thiolation of enol triflates from ketones to access diverse tetrasubstituted vinyl sulfides has been developed.
芳基-7-甲基-2,6-辛二烯酸 王卫伟 赵 宇 刘鑫磊 耿 瑞 王明安 * (中国农业大学应用化学系 北京 100193) 摘要 对 Pd(OAc) 2 和 P(o-MeC 6 H 4 ) 3 催化的(E)-7-甲基-2,6-辛二烯酸与碘代芳烃的立体选择性 Mizoroki-Heck 芳基化反 应进行了优化, 在减少催化剂的用量以及过量的三乙胺同时作碱和溶剂的条件下, 产物的收率得到了显著的改善.在 回流温度下通过 芳基化反应
Rosmarinic acid (RA), Tanshinone IIA (Tan IIA) and Salvianolic B (Sal B) are important components in Salvia miltiorrhiza, rapid prediction of these three can be beneficial for quality control S. miltiorrhiza. Furthermore, spectral preprocessing variable selection the critical steps quantitative analysis by near infrared spectroscopy (NIR). In this study, a new hybrid method based on iVISSA was used to improve performance RA, Tan Sal contents First, spectra were subjected 108 methods, best is...
To achieve rapid estimation of soybean chlorophyll content by hyperspectral technology, 76 varieties were investigated based on the simulation Landsat-8 satellite band spectral resampling technology and vegetation indices. Four different modeling methods, Support Vector Machine (SVM), Multiple Linear Regression (MLR), Partial Least Squares (PLSR), Back Propagation Neural Network (BPNN), combined to analyze response characteristics resampled spectra predict a prediction model index was...