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Model based optimization of transflection near infrared spectroscopy as a process analytical tool in a continuous
Imke Weishaupt1, Manuel Zimmer1, Peter Neubauer2
1Department of Life Science Technologies, Institute of Food Technology.NRW, OWL University of Applied Sciences and Arts, Lemgo, 32657, Germany.
Journal of Food Science
|July 1, 2020
Summary
Near infrared spectroscopy (NIS) effectively monitors continuous flash pasteurization. By optimizing parameters like temperature and path length, NIS provides accurate inline measurements for process control.
Area of Science:
- Food Science and Technology
- Analytical Chemistry
- Process Engineering
Background:
- Inline process monitoring is crucial for ensuring product quality and safety in continuous pasteurization.
- Traditional methods for monitoring pasteurization can be time-consuming and may not provide real-time data.
- Near infrared spectroscopy (NIS) offers a potential solution for rapid, non-invasive inline analysis.
Purpose of the Study:
- To investigate the feasibility of using near infrared spectroscopy (NIS) with a transflection probe for inline monitoring in a continuous flash pasteurizer.
- To evaluate the robustness, reproducibility, and accuracy of NIS measurements under varying process conditions.
- To develop a chemometric strategy for compensating process-induced spectral variations.
Main Methods:
- Utilized a continuous flash pasteurizer with a sugar-water model solution.
- Employed a transflection probe with variable path lengths (2 and 4 mm).
- Varied process parameters including flow rate (30-90 L/h), temperature (20-100 °C), and pressure (2.5 bar).
- Applied chemometric analysis, including Partial Least Squares (PLS) modeling and polynomial regression for error correction.
Main Results:
- Temperature and probe path length were identified as the most significant parameters affecting spectral data in homogenous solutions.
- Flow rate became influential in particle-containing systems.
- A PLS model incorporating a wide temperature range and polynomial regression for error correction effectively compensated for parameter variations.
- A 2 mm path length resulted in higher measurement accuracy.
Conclusions:
- Near infrared spectroscopy (NIS) is a powerful and accurate process analytical tool for continuous flash pasteurization systems.
- Identifying key process parameters and implementing compensation strategies are essential for robust NIS application.
- The developed chemometric approach enables reliable inline monitoring, enhancing process control and product consistency.
