Resolute BioSMB 350

Analyze Sartorius Resolute BioSMB 350 data with AI

Multicolumn Chromatography (Manufacturing) for biopharma manufacturing applications

Key Features: 350 L/min scalable system, fully automated continuous purification, integrated inline monitoring
Industry Applications: Biopharma manufacturing
Target Users: Production scientist; Downstream engineer
Export Method: Data export via plant historian or BioSMB software
Export Formats: CSV
Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your Resolute BioSMB 350 data into Sourcetable in 3 simple steps

  • Step 1

    Export Data

    Export your results from Resolute BioSMB 350 as CSV format. Current process typically takes 8 hours.

  • Step 2

    Upload to Sourcetable

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

  • Step 3

    Start Analysis

    Perform automated analysis and generate comprehensive reports. Complete analysis now takes just 2 hours.

File Format Compatibility

Resolute BioSMB 350 provides comprehensive data export capabilities for multicolumn chromatography (manufacturing) 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

Resolute BioSMB 350 enables advanced analytical workflows for biopharma manufacturing applications.

📊

Continuous process performance tracking

Continuous process performance tracking

⚗️

Yield consistency analysis across cycles

Yield consistency analysis across cycles

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Cost-of-resin usage analysis

Cost-of-resin usage analysis

Technical Requirements

Software Dependencies

  • Resolute BioSMB 350 350 L/min scalable system, fully automated continuous purification, integrated inline monitoring
  • File Export Format CSV
  • Export Method Data export via plant historian or BioSMB software
  • Applications Biopharma manufacturing

Sourcetable Libraries

  • Data Processing pandas, numpy
  • Statistical Analysis scipy, statsmodels
  • Visualization matplotlib, plotly
  • Specialized Analysis pandas, numpy

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Get Insights

Ask questions in plain English, generate charts instantly, use Python for custom logic, and tap into built-in research tools for deeper insights.

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