Prepared by Dr. Eng. Karolina Orłowska
CASE STUDY
Feasibility assessment of using Raman to differentiate white paint batches and identify mineral filler markers
As part of a feasibility study, we examined whether Raman spectroscopy allows for the rapid and unambiguous differentiation of two white paint samples and can indicate the source of differences in their composition. Result: Spectrally enabled reliable sample differentiation based on their spectral „fingerprint” and suggested differences in the mineral fillers used.
Introduction and Project Context
In white paints, even minor changes in the formulation, particularly in the area of fillers and mineral additives, can translate into tangible production and performance parameters: viscosity, stability, coverage, whiteness, or susceptibility to sedimentation. The problem arises when differences only become apparent after a batch is completed or after a longer period, for example, in a complaint.
At Gekko Photonics, we conducted a feasibility study on two white paint samples provided in polyethylene packaging. Our goal was to determine whether Spectrally analyzers could provide a fast, objective, and repeatable signal of differences without tedious sample preparation and without waiting for external laboratory analyses.
Business Challenge
- The manufacturer needed a method that would quickly answer whether two paints have the same composition and whether the same raw materials and fillers were used.
- The lack of a rapid method for distinguishing batches at the input and during production increased the risk of allowing a non-compliant batch to proceed.
- Variability in mineral fillers could affect paint properties despite identical visual appearance.
- A method resistant to the presence of water and minimizing sample preparation requirements was needed.
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Project Objectives
- To verify whether two white paint samples can be unambiguously distinguished based on their Raman spectra.
- To identify spectral markers that may account for differences in mineral composition.
- To assess the potential for implementing at-line control and in-line measurement based on Spectrally.
Applied Solution and Project Approach
The research was conducted using the Spectrally X1 analyzer in two configurations: with an in-line measurement probe and with an at-line measurement setup in 5 ml vials. This allowed us to test a scenario that can realistically be transferred to production: rapid sample verification near the line and direct measurement in the process stream.
The project involved sample acceptance, minimal measurement preparation, recording of averaged spectra, and interpretation of spectral markers. In the sample labeled „paint 2,” we recorded bands around 1100 cm⁻¹ and 750 cm⁻¹, which suggest differences in the mineral fillers used, likely related to the presence of dolomite.
Results and Benefits
- The feasibility study confirmed that Spectrally allows for the differentiation of two seemingly similar white paints based on their Raman spectra.
- Clear differences in the spectra enabled the identification of variations in chemical composition.
- Carbonate markers suggested differences in mineral fillers, for example, the presence of dolomite in one sample.
- We developed a ready implementation scenario: rapid at-line batch control and an in-line variant for process monitoring.
- The solution reduces quality risks and supports better formulation repeatability through rapid verification of raw material changes.
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Contact
Aleksandra Łukasiewicz
If you are facing a similar challenge in chemical process control, quality stabilization, or real-time reaction monitoring, let's discuss a solution tailored to your technological conditions.
- a.lukasiewicz@gekkophotonics.com
- +48 786 867 071