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PerCal Plus™ is advanced chemometric software designed to develop, validate, update, and deploy calibration models for IR and NIR spectroscopy instruments used in food and feed production.

It transforms spectral data and laboratory reference values into reliable prediction models for quality control and process applications.

Why Calibration Software Matters

IR and NIR spectroscopy are secondary analytical techniques. Measurement accuracy depends on the quality and robustness of the calibration model behind the instrument.

Inconsistent or poorly maintained calibrations can lead to unreliable production data, cross-site variability, and reduced confidence in results.

PerCal Plus™ provides a structured workflow to ensure stable, production-ready calibration performance.

A Complete Calibration Development Workflow  

PerCal Plus™ supports the complete calibration lifecycle, guiding you from raw spectral data to validated, production-ready deployment.

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Organize Data

Import spectra and reference chemistry datasets. Automatically match sample IDs and review missing or mismatched entries. Cross-highlight samples across plots for comprehensive data review.

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Analyze & Develop Models

Apply PLS and proprietary Honigs Regression (HR) algorithms. Receive automatic suggestions for pretreatment and number of factors. Customize your regression dashboard with optional automatic outlier detection.

 

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Validate & Deploy

Review validation statistics and residual analysis. Apply bias and slope-intercept correction suggestions. Export calibration models for deployment to compatible instruments.

 

Advanced Chemometric Capabilities

Designed for Real-World Food Applications: PerCal Plus™ supports multiple regression strategies, allowing calibration models to be matched to product variability, dataset structure, and production requirements.

 

PLS regression is the industry standard for IR/NIR calibration development. It is best suited for applications where the relationship between spectral data and reference values is predominantly linear.

PLS models provide:

  • Stable and transparent model structure
  • Cross-validation for robust factor selection
  • Reliable performance for routine quality control environments

Honigs Regression is a proprietary method designed to improve performance when datasets exhibit non-linear behavior or grouped sample populations.

HR is particularly valuable when:

  • Sample populations behave differently across ranges
  • Product variability introduces non-linear spectral responses
  • Standard linear approaches limit prediction accuracy

ANN modeling supports complex, highly non-linear datasets. It is most effective when large and diverse calibration datasets are available.

ANN may be appropriate when:

  • Dataset size is substantial
  • Interactions between variables are difficult to model linearly
  • Advanced modeling flexibility is required

Calibration Lifecycle Management

Projects in PerCal Plus™

Projects in PerCal Plus™ organize:

  • Spectral datasets
  • Calibration models
  • Validation results
  • Version tracking

Key Benefits

PerCal Plus™ helps you:

  • Maintain traceability between datasets and models
  • Update models over time
  • Ensure multi-site consistency
  • Improve long-term calibration reliability


Designed for the Perten IR/NIR Instrument Ecosystem

 

Compatable with

DA 7250

Rapid NIR analysis of moisture, protein, fat, fiber, starch and more across a wide range of food and agricultural samples. Delivers accurate results in seconds to support quality control, improve efficiency and simplify testing.

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DA 7350

Continuous in-line measurement of moisture, fat, protein, fiber and other parameters in pipes and conveyors. Provides real-time data for immediate process adjustments to reduce waste, improve consistency and optimize production.

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DA 7440

Continuous, non-contact measurement of moisture, fat, protein, fiber and other parameters directly on conveyor belts. Delivers real-time insights to optimize production, reduce waste and maintain consistent product quality.

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IM 9500

Rapid NIR analysis of moisture, protein, oil and other key parameters in grains and oilseeds. Delivers accurate results in less than 30 seconds, supporting efficient grain handling, quality control and reliable decision-making.

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Integrated with Results Plus and Process Plus software.

 

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Quality Managers

Oversee calibration performance and ensure consistent analytical results across production environments.

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Application Specialists

Develop and maintain sophisticated NIR models tailored to specific food processing applications.

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R&D Teams

Transfer laboratory calibrations to production settings with confidence and reproducibility.

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Multi-Site Manufacturers

Maintain model consistency across multiple instruments and production facilities.

PerCal Plus™ supports calibration development across raw materials, intermediates, and finished food products throughout your entire production chain.