Polymer & Polyol Analysis
Applications | 2022 | MetrohmInstrumentation
Near-infrared (NIR) spectroscopy offers a rapid, non-destructive, and chemical-free approach for quality control in polyol and polymer manufacturing.
This summary outlines the implementation and validation of NIR spectroscopy at Wanhua Chemical Group's QC laboratories, focusing on key quality parameters including hydroxyl value, moisture content, TBHP, and polymerization inhibitors.
Multivariate calibration models were developed using the Metrohm NIRS XDS RapidLiquid Analyzer. Liquid samples were measured directly without preparation, and primary laboratory methods were employed periodically to validate prediction accuracy. Extensive sample collections accounting for compositional changes and dispersed solids ensured robust model performance.
The NIR method enabled simultaneous quantification of multiple parameters in under one minute per sample. Calibration models displayed good reproducibility and resilience, though detection limits restrict trace‐level analyses. The use of pre‐calibrated DS2500 systems reduced implementation time and supported consistent results across different QC laboratories.
Advances may include inline NIR monitoring for real-time process control, machine learning–driven calibration updates, and integration with automated sampling to further streamline polymer and polyol production quality assurance.
Metrohm's NIR spectroscopy platforms at Wanhua Chemical Group demonstrate a shift toward faster, greener, and more efficient quality control in polymer and polyol analysis, supporting both laboratory and potential inline process monitoring.
No references were provided in the source document.
NIR Spectroscopy
IndustriesEnergy & Chemicals
ManufacturerMetrohm
Summary
Importance of the Topic
Near-infrared (NIR) spectroscopy offers a rapid, non-destructive, and chemical-free approach for quality control in polyol and polymer manufacturing.
Objectives and Study Overview
This summary outlines the implementation and validation of NIR spectroscopy at Wanhua Chemical Group's QC laboratories, focusing on key quality parameters including hydroxyl value, moisture content, TBHP, and polymerization inhibitors.
Methodology
Multivariate calibration models were developed using the Metrohm NIRS XDS RapidLiquid Analyzer. Liquid samples were measured directly without preparation, and primary laboratory methods were employed periodically to validate prediction accuracy. Extensive sample collections accounting for compositional changes and dispersed solids ensured robust model performance.
Used Instrumentation
- Metrohm NIRS XDS RapidLiquid Analyzer (now DS2500 Liquid Analyzer)
- DS2500 Polymer Analyzer and DS2500 Polyol Analyzer with 8 mm vial holder
- Disposable 8 mm transmission vials
- Vision Air 2.0 software for data acquisition and calibration management
Main Results and Discussion
The NIR method enabled simultaneous quantification of multiple parameters in under one minute per sample. Calibration models displayed good reproducibility and resilience, though detection limits restrict trace‐level analyses. The use of pre‐calibrated DS2500 systems reduced implementation time and supported consistent results across different QC laboratories.
Benefits and Practical Applications
- Elimination of sample preparation and hazardous reagents
- High-throughput, multi-parameter analysis in less than one minute
- Non-destructive measurement suitable for routine use by non-specialists
- Low maintenance and operational costs
- Environmentally friendly, generating no chemical waste
Future Trends and Applications
Advances may include inline NIR monitoring for real-time process control, machine learning–driven calibration updates, and integration with automated sampling to further streamline polymer and polyol production quality assurance.
Conclusion
Metrohm's NIR spectroscopy platforms at Wanhua Chemical Group demonstrate a shift toward faster, greener, and more efficient quality control in polymer and polyol analysis, supporting both laboratory and potential inline process monitoring.
References
No references were provided in the source document.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
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