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线性分子式:
(CF3SO3)2Zn
化学文摘社编号:
分子量:
363.53
UNSPSC Code:
12161600
NACRES:
NA.22
PubChem Substance ID:
EC Number:
258-922-6
Beilstein/REAXYS Number:
4028195
MDL number:
产品名称
三氟甲磺酸锌, 98%
InChI key
CITILBVTAYEWKR-UHFFFAOYSA-L
InChI
1S/2CHF3O3S.Zn/c2*2-1(3,4)8(5,6)7;/h2*(H,5,6,7);/q;;+2/p-2
SMILES string
[Zn++].[O-]S(=O)(=O)C(F)(F)F.[O-]S(=O)(=O)C(F)(F)F
assay
98%
reaction suitability
core: zinc
reagent type: catalyst
greener alternative product characteristics
Catalysis
Learn more about the Principles of Green Chemistry.
sustainability
Greener Alternative Product
mp
≥300 °C (lit.)
greener alternative category
, Aligned
Quality Level
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Application
- 通过三唑鎓基离子液制备高温锌离子电池:该研究探索了将离子液中的三氟甲烷磺酸锌用于高温锌离子电池的用途,显示了在导电性和稳定性方面的重大改进。(Li et al., 2022)。
- 通过与三氟甲烷磺酸锌形成离子共晶增进6-巯基嘌呤的溶解性:该研究关注的是通过与三氟甲烷磺酸锌离子共晶改善6-巯基嘌呤的溶解性,由此导致单-晶体-单-晶体(single-crystal-to-single-crystal )转换。(Yao et al., 2014)。
- 用于高性能抗冻锌离子凝胶电解质的溶剂化鞘( solvation sheath)的自发去饱和(spontaneous desaturation):该论文讨论了采用三氟甲烷磺酸锌开发的高性能抗冻锌离子凝胶电解质,该电解质即使在低温下也具有良好的性能。(Li et al., 2023)。
General description
我们致力于为您提供绿色替代产品,以符合“绿色化学的12项原则”的一项或多项原则要求。该产品为增强型,提高了催化效率。点击此处了解更多信息。
三氟甲烷磺酸锌可用作亲核加成中的路易斯酸和羟醛反应中的催化剂。
三氟甲烷磺酸锌可用作亲核加成中的路易斯酸和羟醛反应中的催化剂。
存储类别
11 - Combustible Solids
wgk
WGK 3
flash_point_f
Not applicable
flash_point_c
Not applicable
ppe
Eyeshields, Faceshields, Gloves, type P3 (EN 143) respirator cartridges
Magnesium and zinc-catalyzed thioketalization
Corey EJ and Shimoji K
Tetrahedron Letters, 24, 169-169 (1983)
Zinc triflate as Lewis acid in nucleophilic addition to cyclic N-acyliminium ions
Ronaldo Aloise P et al.
Synlett, 2005, 2297-2300 (2005)
Regioselective synthesis of 3-alkylindoles mediated by zinc triflate.
Zhu X and Ganesan A
The Journal of Organic Chemistry, 67(8), 2705-2708 (2002)
Novel heterogeneous zinc triflate catalysts for the rearrangement of ?-pinene oxide.
Wilson K, et al.
Catalysis Letters, 61(1-2), 51-55 (1999)
Dennis M Whitfield
Carbohydrate research, 356, 180-190 (2012-04-25)
The Transition State (TS) for any chemical glycosylation reaction is not known with certainty. Both experimental and computational approaches have been limited due to the complexity of the problem. This work describes a preliminary computational ionization approach using density functional
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