NaOH/BEt3 Catalyzed Regioselective Hydroboration of Epoxides to Secondary Alcohols DOI
Jiali Wang,

Wubin Yao,

Dandan Hu

и другие.

European Journal of Organic Chemistry, Год журнала: 2022, Номер 2022(35)

Опубликована: Авг. 23, 2022

Abstract A regioselective hydroboration/hydrolysis of epoxides with pinacolborane catalyzed by NaOH/BEt 3 was achieved. Glycidyl oxide, styrene oxide and adamantane epoxide underwent facile hydroboration/deprotection to provide secondary alcohols exclusive selectivity in good excellent yields. Moreover, the stereochemistry could also be well retained, corresponding were obtained high optical activity under alkaline catalysis. Significantly, this reaction, diverse functional groups can compatible, including hydrogenation‐sensitive groups, such as carbon‐carbon double bonds halogens.

Язык: Английский

Recent Developments in Enantioselective Domino Reactions. Part B: First Row Metal Catalysts DOI

Hélène Pellissier

Advanced Synthesis & Catalysis, Год журнала: 2023, Номер 365(6), С. 768 - 819

Опубликована: Янв. 17, 2023

This review updates the field of enantioselective domino reactions promoted by chiral catalysts derived from first row metals, such as zinc, iron, copper, scandium, nickel, cobalt, titanium, chromium and magnesium special case, published since beginning 2019. It illustrates how much a diversity these allow an impressive range novel highly many types to be achieved, providing one-pot access very complex functionalized molecules simple starting materials.

Язык: Английский

Процитировано

14

Mg(OTf)2 as an Excellent Catalyst for the Reductive Depolymerization and Methanolysis of Polyesters and Polycarbonates DOI

Carlota M. Alfaia,

Ana C. Fernandes

Advanced Sustainable Systems, Год журнала: 2024, Номер unknown

Опубликована: Май 15, 2024

Abstract The use of alkaline earth‐abundant metal catalysts as alternatives to transition in the depolymerization plastic waste is a very important research area. In this work, first method described for conversion polyesters into value‐added compounds catalyzed by magnesium catalyst. It demonstrated that commercially available, inexpensive and air‐stable, earth catalyst Mg(OTf) 2 efficiently promotes reductive several using pinacolborane (HBpin) reducing agent with good excellent yields. This also remains active at least 12 consecutive polycaprolactone (PCL) reactions yields between 89% 81%. efficient polycarbonate poly(bisphenol A carbonate) (PC.BPA). Furthermore, it found successfully catalyzes methanolysis polycarbonates moderate temperature

Язык: Английский

Процитировано

6

Diversification of Pharmaceutical Manufacturing Processes: Taking the Plunge into the Non-PGM Catalyst Pool DOI Creative Commons
Hui Zhao, Anne K. Ravn, Michael C. Haibach

и другие.

ACS Catalysis, Год журнала: 2024, Номер 14(13), С. 9708 - 9733

Опубликована: Июнь 13, 2024

Recent global events have led to the cost of platinum group metals (PGMs) reaching unprecedented heights. Many chemical companies are therefore starting seriously consider and evaluate if where they can substitute PGMs for non-PGMs in their catalytic processes. This review covers recent highly relevant applications non-PGM catalysts modern pharmaceutical industry. By highlighting these selected successful examples non-PGM-catalyzed processes from literature, we hope emphasize enormous potential catalysis inspire further development within this field enable technology progress toward manufacturing We also present some historical contexts perceived advantages challenges implementing environment.

Язык: Английский

Процитировано

5

Analysis of the protective behavior and mechanism of MgO-C-Mg film for crude magnesium smelting DOI Creative Commons

Yu Rong,

Yang Tian, Bin Yang

и другие.

Journal of Magnesium and Alloys, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Preparation of high purity magnesium by vacuum gasification-directional condensation technology DOI
Dong Liang, Lipeng Wang, Yang Tian

и другие.

Separation and Purification Technology, Год журнала: 2023, Номер 327, С. 124878 - 124878

Опубликована: Авг. 22, 2023

Язык: Английский

Процитировано

6

Magnesium‐Catalyzed Asymmetric Thia‐Michael Addition to α,β‐Unsaturated Ketones DOI
Joanna A. Jaszczewska‐Adamczak, Paulina Baczewska, Robert Bujok

и другие.

Advanced Synthesis & Catalysis, Год журнала: 2024, Номер 366(6), С. 1412 - 1421

Опубликована: Янв. 23, 2024

Abstract We demonstrate the application of chiral magnesium complexes in an asymmetric carbon‐sulfur bond‐forming reaction. Enantioselective and cost‐effective methodology under mild condition for thia‐Michael addition, utilizing situ generated dinuclear magnesium‐ProPhenol complex, has been developed. The versatility this protocol is demonstrated with a broad range thiol nucleophiles wide selection enones. Enantioenriched β‐ketosulfides are obtained good to excellent yields moderate enantioselectivity. presented catalytic system exhibits tolerance structurally different substrates while maintaining high This observation aligns proposed mechanism, wherein sulfur atom coordinates catalyst close proximity reaction center.

Язык: Английский

Процитировано

2

Asymmetric Magnesium Catalysis for Important Chiral Scaffolds Synthesis DOI

Linqing Wang,

Jiaming Lv,

Yongshuo Zhang

и другие.

Organic & Biomolecular Chemistry, Год журнала: 2024, Номер 22(24), С. 4778 - 4800

Опубликована: Янв. 1, 2024

A review is presented of magnesium catalysis for the synthesis important chiral scaffolds. Several motifs that are present in classic ligands or natural products synthesized by Mg( ii ) catalytic methods briefly discussed.

Язык: Английский

Процитировано

2

Machine Learning Algorithm Guides Catalyst Choices for Magnesium‐Catalyzed Asymmetric Reactions DOI Creative Commons
Paulina Baczewska, Michał Kulczykowski, Bartosz K. Zambroń

и другие.

Angewandte Chemie International Edition, Год журнала: 2024, Номер 63(37)

Опубликована: Июнь 15, 2024

Organic-chemical literature encompasses large numbers of catalysts and reactions they can effect. Many these examples are published merely to document the catalysts' scope but do not necessarily guarantee that a given catalyst is "optimal"-in terms yield or enantiomeric excess-for particular reaction. This paper describes Machine Learning model aims improve such catalyst-reaction assignments based on carefully curated data. As we show here for case asymmetric magnesium catalysis, this achieves relatively high accuracy offers out of-the-box predictions successfully validated by experiment, e.g., in synthetically demanding reductions Michael additions.

Язык: Английский

Процитировано

2

Diversification of pharmaceutical manufacturing processes: Taking the plunge into the non-PGM catalyst pool DOI Creative Commons
Hui Zhao, Anne K. Ravn, Michael C. Haibach

и другие.

Опубликована: Март 22, 2024

Recent global events have led to the cost of platinum group metals (PGMs) reaching unprecedented heights. Many chemical companies are therefore starting seriously consider and evaluate if, where, they can substitute PGMs for non-PGMs in their catalytic processes. This review covers recent large-scale applications non-PGM catalysts modern pharmaceutical industry. By highlighting these selected successful examples non-PGM-catalyzed processes from literature, we hope emphasize enormous potential catalysis inspire further development within this field enable technology progress towards manufacturing We also present some historical context perceived advantages challenges implementing environment.

Язык: Английский

Процитировано

1

Machine Learning Algorithm Guides Catalyst Choices for Magnesium‐Catalyzed Asymmetric Reactions DOI Creative Commons
Paulina Baczewska, Michał Kulczykowski, Bartosz K. Zambroń

и другие.

Angewandte Chemie, Год журнала: 2024, Номер 136(37)

Опубликована: Июнь 15, 2024

Abstract Organic‐chemical literature encompasses large numbers of catalysts and reactions they can effect. Many these examples are published merely to document the catalysts’ scope but do not necessarily guarantee that a given catalyst is “optimal”—in terms yield or enantiomeric excess—for particular reaction. This paper describes Machine Learning model aims improve such catalyst‐reaction assignments based on carefully curated data. As we show here for case asymmetric magnesium catalysis, this achieves relatively high accuracy offers out of‐the‐box predictions successfully validated by experiment, e.g., in synthetically demanding reductions Michael additions.

Язык: Английский

Процитировано

1