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Specific surface area analysis

Specific surface area analysis

Technique(s)
Category:
Expertise

Rheology

Method

Brunauer-Emmett-Teller (BET)

Description

Specific surface area analysis quantifies the total accessible surface area per unit mass of a material, typically expressed in m²/g. This characterization is essential for understanding the behavior of porous materials, active powders, or functional ingredients whose performance is highly dependent on their exchange surface area. A high specific surface area can improve the adsorption, reactivity, dissolution, or efficiency of materials used in the nutraceutical, cosmetic, environmental, polymer, and advanced materials sectors.

Issues and benefits of specific surface area

Specific surface area is a key parameter for evaluating the functional potential of a material. It influences the effectiveness of micronized active ingredients, the adsorption capacity of activated carbons or silicas, the reactivity of catalysts, the dissolution rate of nutraceutical powders, and the filtering capacity of environmental materials. In the materials and polymers industry, it helps optimize the interactions between mineral fillers and polymer matrices. In plants and plant extracts, it helps predict the solubility or dispersion of powders.

Analyzing this parameter is essential when developing new formulations, optimizing grinding or micronization processes, or controlling the quality of production batches.

BET Method and Analytical Principles

The reference technique for determining specific surface area is the BET (Brunauer–Emmett–Teller) method, which relies on the adsorption of gas, often nitrogen, at cryogenic temperatures. The gas adsorbs as a single-molecular layer onto the material's surface. The resulting adsorption isotherm allows the calculation of the total accessible surface area. This method is particularly well-suited for fine powders, porous materials, or solids with micro- or mesopores.

In some cases, the analysis can also provide additional information on:
• pore size distribution
• total pore volume
• material porosity
• adsorption and desorption characteristics

This data allows for a better understanding of the internal structure and performance of the material in its final application.

Matrices analyzed and industrial applications

Specific surface area analysis applies to a wide range of materials. It is particularly useful in the study of plant powders, nutraceutical extracts, micronized technical ingredients, silicas and clays, activated carbons, biomaterials, environmental adsorbents, pigments, mineral fillers, and materials for catalysis. It plays a role in formulation optimization, batch performance verification, stability studies, and comparisons between different ingredient sources.

Applications include:
• nutraceuticals and food supplements
• cosmetics and powder or mask formulation
• environment and water treatment
• advanced materials, polymers and composites
• filtration, adsorption and purification
• catalysis and assisted chemical reactions

YesWeLab Support

YesWeLab relies on a network of expert laboratories specializing in physicochemical analysis, materials characterization, and adsorption techniques. These laboratories are rigorously selected for their sector-specific expertise and compliance with ISO 17025 and COFRAC standards. Our digital platform allows you to centralize your analysis requests, track the progress of your samples, access your results, and communicate with our scientific team. We support you in defining the appropriate protocol, interpreting the results, and optimizing your formulations or industrial processes.

Since 2020, manufacturers, distributors, design offices and industrial companies from multiple sectors have relied on YesWeLab for the characterization of the specific surface area and adsorption properties of their materials.

Other analyses from the YesWeLab catalogue

• Porosity analysis and pore distribution
• Particle size analysis
• Surface and morphology analysis (SEM)
• Powder rheology and cohesion

Other analyses we perform

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