Aman, Hasil’s team published research in ChemistrySelect in 2020-11-23 | 76-84-6

ChemistrySelect published new progress about Aralkyl alcohols Role: RCT (Reactant), SPN (Synthetic Preparation), RACT (Reactant or Reagent), PREP (Preparation). 76-84-6 belongs to class alcohols-buliding-blocks, and the molecular formula is C19H16O, Recommanded Product: Triphenylmethanol.

Aman, Hasil; Chen, Yuan-Ching; Tu, Jing-Wen; Chang, Chia-Chi; Chuang, Gary Jing published the artcile< Catalyst/Additive Free Oxidation of Benzyl Bromides to Benzaldehydes>, Recommanded Product: Triphenylmethanol, the main research area is benzyl bromide Kornblum oxidation; benzaldehyde preparation green chem.

An effective approach for the synthesis of aryl aldehydes from the corresponding benzyl bromides was accomplished. Without need of addnl. additives or stoichiometric oxidants, this environmental friendly and milder version of Kornblum oxidation simply utilized the irradiation of visible light in DMSO under O2, and was compatible with the substrate with different functional groups.

ChemistrySelect published new progress about Aralkyl alcohols Role: RCT (Reactant), SPN (Synthetic Preparation), RACT (Reactant or Reagent), PREP (Preparation). 76-84-6 belongs to class alcohols-buliding-blocks, and the molecular formula is C19H16O, Recommanded Product: Triphenylmethanol.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Ueno, Masaharu’s team published research in European Journal of Organic Chemistry in 2019 | 76-84-6

European Journal of Organic Chemistry published new progress about Green chemistry. 76-84-6 belongs to class alcohols-buliding-blocks, and the molecular formula is C19H16O, Computed Properties of 76-84-6.

Ueno, Masaharu; Kusaka, Ryo; Ohmura, Satoshi D.; Miyoshi, Norikazu published the artcile< Environmentally Benign Ritter Reaction Using Bismuth Salts as a Catalyst>, Computed Properties of 76-84-6, the main research area is Ritter bismuth salt catalyst green.

The authors developed an environmentally benign Ritter reaction of alcs. with nitriles using a com. available bismuth salt as a less harmful catalyst. The detailed reaction profiles revealed that consumption of the ether byproduct as the reaction proceeded was the key for optimizing this reaction, and the yield of the target amide was improved by adding a small amount of water. This finding clearly reveals the significance of using a bismuth salt as the catalyst, as it is not deactivated in the presence of water. This catalyst system has a broad substrate scope, and even with 1 mol-% of the catalyst, the reaction progresses smoothly. It is also possible to react stoichiometric amounts of nitriles and alcs., thus reducing the amount of organic solvent required for the reaction. Furthermore, as the inexpensive bismuth catalyst can be easily removed using aqueous hydrochloric acid, a purification process that only required washing and drying without any organic solvents was successfully established.

European Journal of Organic Chemistry published new progress about Green chemistry. 76-84-6 belongs to class alcohols-buliding-blocks, and the molecular formula is C19H16O, Computed Properties of 76-84-6.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Panda, Chakadola’s team published research in Angewandte Chemie, International Edition in 2021-12-06 | 76-84-6

Angewandte Chemie, International Edition published new progress about Activation energy. 76-84-6 belongs to class alcohols-buliding-blocks, and the molecular formula is C19H16O, Product Details of C19H16O.

Panda, Chakadola; Doyle, Lorna M.; Gericke, Robert; McDonald, Aidan R. published the artcile< Rapid Iron(III)-Fluoride-Mediated Hydrogen Atom Transfer>, Product Details of C19H16O, the main research area is pyridylmethylamine iron fluoride preparation oxidant hydrogen atom transfer; crystal mol structure pyridylmethylamine iron fluoride; hydrocarbon oxidative carbon hydrogen activation kinetics pyridylmethylamine iron fluoride; biomimetic chemistry; fluoride oxidant; high-valent oxidants; nonheme iron; proton-coupled electron transfer.

Authors anticipate high-valent metal-fluoride species will be highly effective hydrogen atom transfer (HAT) oxidants because of the magnitude of the H-F bond (in the product) that drives HAT oxidation They prepared a dimeric FeIII(F)-F-FeIII(F) complex (1) by reacting [FeII(NCCH3)2(TPA)](ClO4)2 (TPA = tris(2-pyridylmethyl)amine) with difluoro(phenyl)-λ3-iodane (difluoroiodobenzene). 1 Was a sluggish oxidant, however, it was readily activated by reaction with Lewis or Broensted acids to yield a monomeric [FeIII(TPA)(F)(X)]+ complex (2) where X = F/OTf. 1 And 2 were characterized using NMR, EPR, UV/Vis, and FT-IR spectroscopies and mass spectrometry. 2 Was a remarkably reactive FeIII reagent for oxidative C-H activation, demonstrating reaction rates for hydrocarbon HAT comparable to the most reactive FeIII and FeIV oxidants.

Angewandte Chemie, International Edition published new progress about Activation energy. 76-84-6 belongs to class alcohols-buliding-blocks, and the molecular formula is C19H16O, Product Details of C19H16O.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts

Zhang, Chenghua’s team published research in ChemistrySelect in 2020-09-07 | 76-84-6

ChemistrySelect published new progress about Algorithm. 76-84-6 belongs to class alcohols-buliding-blocks, and the molecular formula is C19H16O, COA of Formula: C19H16O.

Zhang, Chenghua; Wu, Keliang; Huang, Long; Sun, Kenan; Zou, Yurong; Xiong, Zhihui; Li, Bingke published the artcile< Virtual Screening and Discovery of Matrix Metalloproteinase-12 Inhibitors by Swarm Intelligence Optimization Algorithm-Based Machine Learning>, COA of Formula: C19H16O, the main research area is screening MMP inhibitor swarm intelligence optimization algorithm machine learning.

Matrix metalloproteinase-12 (MMP-12) is an attractive therapeutic target for drug design and discovery for many human conditions. In this study, six swarm intelligence optimization algorithms were applied to optimize the parameters of the model generated using the LibSVM toolkit in MATLAB to identify potential MMP-12 inhibitors (MMP-12is); six types of optimized support vector machine (SVM) models were established. The highest prediction accuracy obtained was 98.89%, which was equivalent to the effect of the optimal “”RF+opt”” model. All six models passed the Y-randomization test and showed excellent performance with reliable results. Virtual screening identified 371 mols. with a predictive probability score greater than 0.9. The optimized SVM models, in addition to “”RF+opt”” and “”SVM2″” models, were combined to establish a consistency evaluation system. Our results revealed six non-toxic potential MMP-12is. This process provides a strong theor. basis for the design, synthesis, and development of novel drugs targeting MMP-12.

ChemistrySelect published new progress about Algorithm. 76-84-6 belongs to class alcohols-buliding-blocks, and the molecular formula is C19H16O, COA of Formula: C19H16O.

Referemce:
Alcohol – Wikipedia,
Alcohols – Chemistry LibreTexts