calibration models

calibration models

featured image of Revolutionizing Bioprocessing: Metabolism Enhances Accuracy

Revolutionizing Bioprocessing: Metabolism Enhances Accuracy

BIOT

📰 Adding metabolism to bioprocessing models improves accuracy & value. Multiscale models provide a mechanistic understanding for better control. 🧪🔬

featured image of Revolutionary Model Predicts Biologic Processing Variations

Revolutionary Model Predicts Biologic Processing Variations

BIOT

🔍 Scientists have developed a mathematical model to predict RTD in continuous manufacturing of biologics. 🔬🔬🧪💯🔬

featured image of Time-saving Raman Spectroscopy Models for Cell Culture Monitoring

Time-saving Raman Spectroscopy Models for Cell Culture Monitoring

BIOT

🔍 Raman spectroscopy is becoming popular for monitoring cell cultures in biopharmaceutical production. 🔬 Creating accurate calibration models for Raman-based monitoring is challenging and time-consuming. 🧪 Scientists developed orthogonal projection to latent structures (OPLS) models to predict production and culture indicators. 📊 The models accurately predicted glucose and lactate levels across different clones, but had issues with predicting titer levels. ✨ A generic calibration model can be used for glucose and lactate levels, but not for product prediction. 🔬 Raman spectroscopy is useful for monitoring cell cultures, but creating calibration models is still time-consuming.