2060 NIR Analyzer

Analyze Metrohm 2060 NIR Analyzer data with AI

Process NIR spectrometer (explosion-proof options) for petrochemical applications

Wavelength Range: 1000 to 2500 nm
Spectral Resolution: ≤ 0.5 nm @ 1000 nm
Measurement Time: < 30 seconds per sample
Sample Types: Solids, powders
Calibration Models: Vision Air chemometric software
Applications: Petrochemical, Food processing, Pharmaceutical manufacturing
Target Users: Process analytical technologist
Export Formats: CSV
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Quick Start Integration

Get your 2060 NIR Analyzer data into Sourcetable in 3 simple steps

  • Step 1

    Export Data

    Export NIR spectra and predictions from your 2060 NIR Analyzer via Vision Air software to CSV format

  • Step 2

    Upload to Sourcetable

    Import your NIR spectral data into Sourcetable for analysis

  • Step 3

    Start Analysis

    Perform automated NIR analysis with chemometric modeling and quality predictions

File Format Compatibility

2060 NIR Analyzer provides comprehensive data export capabilities for process nir spectrometer (explosion-proof options) 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

2060 NIR Analyzer enables advanced NIR spectroscopic analysis for rapid quality control.

🔬

Spectral Acquisition

Rapid non-destructive analysis with automated baseline correction and spectral preprocessing

📊

Chemometric Modeling

Multivariate calibration with PLS regression, model validation, and prediction confidence intervals

⚗️

Quality Assessment

Real-time quality control with automated pass/fail criteria and batch release documentation

Technical Requirements

Software Dependencies

  • 2060 NIR Analyzer NIR spectrometer with chemometric software and rapid analysis capabilities
  • File Export Format CSV
  • Export Method Plant network integration (OPC UA)
  • Applications Petrochemical, Food processing, Pharmaceutical manufacturing

Sourcetable Libraries

  • Data Processing pandas, numpy
  • Statistical Analysis scipy, statsmodels
  • Visualization matplotlib, plotly
  • Specialized Analysis pandas, numpy, scikit-learn (for chemometrics)

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Clean, shape, and structure data with AI, formulas, or code. Sourcetable helps you go from raw input to ready-to-use datasets in seconds.

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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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