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Biopat Spectro

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Lab Devices
Sartorius
Biopat Spectro

Analyze Sartorius BioPAT Spectro data with AI

In-line Raman Spectroscopy PAT for biopharma (pat implementations) applications

Key Features: Raman probe integrated in bioreactor, monitors multiple variables (e.g. glucose, lactate, etc.) via spectral data and chemometrics

Industry Applications: Biopharma (PAT implementations)

Target Users: Process analytical scientist; Chemometrician

Export Method: Export spectral data and predicted values to CSV

Export Formats: CSV

Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your BioPAT Spectro data into Sourcetable in 3 simple steps

Export Data

Export your results from BioPAT Spectro as CSV format. Current process typically takes N/A.
Upload to Sourcetable

Import your data directly into Sourcetable for analysis. Our streamlined process reduces analysis time significantly.
Start Analysis

Perform automated analysis and generate comprehensive reports. Complete analysis now takes just Real-time.

File Format Compatibility

BioPAT Spectro provides comprehensive data export capabilities for in-line raman spectroscopy pat and statistical analysis integration.

.csv

Raw Data

Full Support Export measurement data and results in CSV format for analysis Measurement values, timestamps, sample identifiers, method parameters

Pre-built Analysis Workflows

BioPAT Spectro enables advanced analytical workflows for biopharma (pat implementations) applications.

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Multivariate analysis (PCA, PLS for nutrient levels)

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Real-time PAT control modeling

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Batch trajectory fingerprinting via spectra

Technical Requirements

Software Dependencies

BioPAT Spectro Raman probe integrated in bioreactor, monitors multiple variables (e.g. glucose, lactate, etc.) via spectral data and chemometrics
File Export Format CSV
Export Method Export spectral data and predicted values to CSV
Applications Biopharma (PAT implementations)

Sourcetable Libraries

Data Processing pandas, numpy
Statistical Analysis scipy, statsmodels
Visualization matplotlib, plotly
Specialized Analysis pandas, scipy, scikit-learn

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