Experimental Data on hIgG Capture Using High-Gradient Magnetic Separation

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.

本数据集包含了我方关于模拟高梯度磁分离（HGMS）用于人免疫球蛋白G（hIgG）纯化的研究实验数据。数据支持了机制模型的开发与验证，该模型能够预测磁性颗粒（MP）的行为、pH 动态以及 hIgG 的洗脱过程。关键数据集包括：
1. 动态光散射（DLS）数据：在变化条件下对 MP 尺寸分布和水动力直径的测量。
2. hIgG 定量数据：从高效液相色谱（HPLC）和紫外吸收法获取的数据，用于确定 HGMS 过程中 hIgG 的浓度。
3. 等温线测量：小规模吸附和脱附等温线，用于确定朗缪尔结合参数。
4. 在线监测数据：来自在线传感器的数据，捕捉 RS-HGMS 过程中的 pH、紫外吸收、电导率和 MP 浓度动态。
5. 粒径测量和透射电镜（TEM）图像：对合成的磁性颗粒进行表征，包括形态、磁化特性和表面特性。
6. 工艺运行日志：RS-HGMS 工艺运行的详细数据记录，捕捉实时数据并验证模型预测与实验结果的一致性。