Analyze Bruker MPA II FT-NIR Spectroscopy System data with AI

FT-NIR spectroscopy system for rapid quantitative analysis

Specification: Multiple measurement modules (integrating sphere, transmission, fiber probe)

Control Software: Built-in temperature control

Operating Modes: Calibration model support

Specification: Multi-component quantification

Control Software: OPUS software integration

Get Started For Free Fully compatible with Sourcetable

Quick Start Integration

Get your MPA II data into Sourcetable in 3 simple steps

Export Data

Export quantitative NIR results from your MPA II via OPUS to CSV format for analysis and LIMS integration
Upload to Sourcetable

Import your NIR quantification data and calibration results into Sourcetable for analysis
Start Analysis

Perform automated constituent quantification and generate comprehensive QC trend reports

File Format Compatibility

Complete support for MPA II NIR quantitative data including multi-component analysis and calibration results for quality control applications.

.csv

Raw Data

Full Support Export quantitative NIR results and spectral data Quantitative results, calibration data, QC parameters, trend monitoring data

.xlsx

Fully Formatted

Full Support Structured NIR data with QC reports Multi-component analysis, trend reports, pass/fail QC results

Pre-built Analysis Workflows

Rapid NIR analysis workflows for quality control with multi-component quantification and automated trend monitoring.

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Quantitative Analysis

Multi-component quantification using chemometric models (PLS)

Quantitative PLS Multi-component

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Quality Control

Pass/fail QC analysis with threshold monitoring

QC Pass/Fail Thresholds

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Trend Monitoring

Automated trend analysis for process monitoring

Trends Monitoring Process

Technical Requirements

Software Dependencies

MPA II FT-NIR FT-NIR spectroscopy system with multiple measurement modules
Control Software OPUS software
File Export Format OPUS, CSV, PDF
Applications Food & beverage, pharmaceutical, petrochemical quality control

Sourcetable Libraries

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

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Turn data into charts & graphs instantly. Sourcetable helps you explore trends, uncover patterns, and present insights, automatically or on your terms.

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