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Merck
CN

472018

Sigma-Aldrich

碳酸锶

≥99.9% trace metals basis

别名:

碳酸锶(SrCO), 碳酸锶3, 碳酸(II)锶

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About This Item

线性分子式:
SrCO3
CAS号:
分子量:
147.63
EC 号:
MDL编号:
UNSPSC代码:
12352302
PubChem化学物质编号:
NACRES:
NA.23
方案:
≥99.9% trace metals basis
表单:
powder

质量水平

方案

≥99.9% trace metals basis

表单

powder

杂质

≤1000.0 ppm Trace Metal Analysis

密度

3.7 g/mL at 25 °C (lit.)

SMILES字符串

[Sr++].[O-]C([O-])=O

InChI

1S/CH2O3.Sr/c2-1(3)4;/h(H2,2,3,4);/q;+2/p-2

InChI key

LEDMRZGFZIAGGB-UHFFFAOYSA-L

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一般描述

碳酸锶是一种弱碱,广泛用作制造玻璃阴极射线管、烟花着色剂、电致发光器件的荧光粉、超导体和各种锶基化合物的起始材料。它还可以用作光催化复合材料中的助催化剂,以扩大其光响应范围。

应用

碳酸锶可用作以下物质的前体:
  • 制造用于 n 型热电的陶瓷复合材料,例如 SrTiO3–TiO2
  • 制备用于热化学储能应用的 SrCO3/SrO 系统。

储存分类代码

13 - Non Combustible Solids

WGK

nwg

闪点(°F)

Not applicable

闪点(°C)

Not applicable

个人防护装备

Eyeshields, Gloves, type N95 (US)


历史批次信息供参考:

分析证书(COA)

Lot/Batch Number

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访问文档库

Visible light responsive strontium carbonate catalyst derived from solvothermal synthesis
Pornnaphat Wichannananon, et al.
Catalysts, 10, 1069-1069 (2020)
Insights into utilization of strontium carbonate for thermochemical energy storage
Paola Ammendola, et al
Renewable Energy, 157, 769-781 (2020)
Fabrication and thermoelectric properties of SrTiO3?TiO2 composite ceramics
A.P. Zavjalov, et al.
Ceramics International (2022)
M Sadeghi et al.
Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine, 67(11), 2029-2032 (2008-12-27)
Strontium carbonate deposition on copper substrate was carried out by the sedimentation method in order to produce yttrium-86. Natural strontium carbonate thick layer was prepared with 480 mg SrCO(3), 220 mg ethyl cellulose, and 7.5 mL acetone. This optimum condition
K Sahner et al.
Physical chemistry chemical physics : PCCP, 9(5), 635-642 (2007-01-24)
In the scope of the present contribution, perovskite SrTi(1-x)Fe(x)O(3-delta) was investigated as a model material for conductometric hydrocarbon sensing at intermediate temperatures between 350 and 450 degrees C. To explain the observations made during sensor optimization in a quantitative way

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