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            <header>
                <identifier>oai:data.mendeley.com/wbgvh6prf8.1</identifier>
                <datestamp>2024-11-07T13:56:37Z</datestamp>
            </header>
            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Tesanovic, Marko</dc:creator>
    <dc:title>Experimental Data on hIgG Capture Using High-Gradient Magnetic Separation</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>This dataset contains the experimental used in our study on modeling high-gradient magnetic separation (HGMS) for human immunoglobulin G (hIgG) purification. The data supports the development and validation of mechanistic models that predict magnetic particle (MP) behavior, pH dynamics, and hIgG elution. Key datasets include:
1. Dynamic Light Scattering (DLS) Data: Measurement of MP size distribution and hydrodynamic diameters under varying conditions.
2. hIgG Quantification Data: Data from high-performance liquid chromatography (HPLC) and UV-absorbance methods for determining hIgG concentration throughout the HGMS process.
3. Isotherm Measurements: Small-scale adsorption and desorption isotherms to determine Langmuir binding parameters.
4. Online Monitoring Data: Data from in-line sensors capturing pH, UV-absorbance, conductivity, and MP concentration dynamics during the RS-HGMS process.
5. Particle Size Measurements and TEM Images: Characterization of synthesized magnetic particles, including morphology, magnetization properties, and surface characterization.
6. Process Run Logs: Data logs of RS-HGMS process runs, capturing real-time data and validating model predictions against experimental outcomes.
</dc:description>
    <dc:subject>Biotechnology</dc:subject>
    <dc:subject>Biopharmaceutical</dc:subject>
    <dc:subject>Magnetic Separation</dc:subject>
    <dc:subject>Separation Technology</dc:subject>
    <dc:contributor>Zimmermann, Ines</dc:contributor>
    <dc:contributor>Berensmeier, Sonja</dc:contributor>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/wbgvh6prf8.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/wbgvh6prf8.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:relation>https://data.mendeley.com/datasets/wbgvh6prf8</dc:relation>
    <dc:date>2024-11-07T13:56:37Z</dc:date>
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