MCAS013_BET Surface Area, Pore Size (Meso Pores and Micro Pores), Porosity Analytical Services | BET | MSE Supplies
Starting from $60 per sample, MSE Supplies offers professional BET Surface Area, Pore Size, Porosity Analytical Services using Quantachrome SI and Micromeritics ASAP 2460 or similar instrument.
Please contact our materials scientists to discuss your sample analysis requirements. Email: email@example.com
The BET (Brunauer, Emmett and Teller) theory is commonly used to evaluate the gas adsorption data and generate a specific surface area result expressed in units of area per mass of sample (m2/g). The technique is referenced by several standard organizations such as ISO, USP and ASTM.
This method is widely used for most materials, but is most reliable for materials with a Type II or Type IV isotherm with sufficient level of interaction between the adsorbate gas and the surface. For materials with other types of isotherms, the BET theory may not apply for various reasons and therefore should be treated with caution.
Prior to analysis, the sample must be preconditioned to remove physically bonded impurities from the surface of the powder in a process called degassing or outgassing. This is typically accomplished by applying elevated temperature to the sample in conjunction with vacuum or continuously flowing inert gas. This process must be carefully controlled and monitored in order to generate the most accurate and repeatable results.
The specific surface area of a material is then determined by the physical adsorption of a gas (typically nitrogen, krypton, or argon) onto the surface of the sample at cryogenic temperatures (typically liquid nitrogen or liquid argon temperatures). The choice of gas to be used is dependent on the expected surface area and the properties of the sample. Once the amount of adsorbate gas has been measured (either by a volumetric or continuous flow technique), calculations which assume a monomolecular layer of the known gas are applied. BET surface area analysis must be done in the linear region of the BET plot, which could be systematically evaluated using the Rouquerol transform.
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