See what’s really in the sample.
ScanSpectrum uses the VIS–NIR spectrum and analytical models for fast assessment of the composition, quality, and authenticity of food and raw materials.
From pigments and ripeness to detecting adulteration — one system, many applications.
One device. Different questions about a sample.
See applications →
CompositionCarotenoids in flour
Assessing the content of natural pigments and compounds tied to nutritional value.
Spectral analysis can be used to estimate carotenoid content, including compounds that are precursors to vitamin A.
CompositionChlorophyll and carotenoids in olive oil
Pigments that influence the properties and character of the oil.
The spectrum allows analysis of compounds absorbing light in characteristic ranges, and on that basis, estimation of chlorophyll and carotenoid content.
QualityCheese quality
Fast product characterization without extensive sample preparation.
The product spectrum can serve as the basis for models assessing selected quality parameters of a specific type of cheese.
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AuthenticityAdulterated palm oil
Detecting changes in the product’s spectral profile.
Adding unauthorized dyes or other substances can change the spectral characteristics of the oil. A properly calibrated model can use these differences to classify samples.
AuthenticityTurmeric with lead chromate
Distinguishing an authentic sample from an adulterated one.
Adding lead chromate changes the optical properties of turmeric. Spectral analysis combined with a classification model can enable identification of such changes.
AuthenticityAdulterated fertilizers
Quality control of raw material before use.
Dilution, substitution of ingredients, or an incorrect fertilizer composition can change its spectral characteristics. ScanSpectrum can be used as part of a system for rapid sample screening.
FreshnessMeat age and freshness
Changes occurring during storage leave a trace in the spectrum.
Over time, changes occur related to myoglobin oxidation, lipids, tissue structure, and water distribution, among others. A model can use their combined effect to assess the changes occurring in the sample.
RipenessAvocado ripeness
Assessing the product without cutting it open.
Changes occurring during ripening affect the composition and structure of the fruit, and consequently its spectrum as well. This makes it possible to build models that distinguish successive ripeness stages.
What if the parameter isn’t directly visible?
Add a reagent. Measure the color change. Read the result.
ScanSpectrum can also be used in classic colorimetric tests, where a chemical reaction causes a change in the color of the sample.
By capturing the full spectrum instead of a single color channel, the course of the reaction can be analyzed across a broad range of wavelengths.
From a ready-made application to your own model
ScanSpectrum isn’t a device designed to measure just one parameter.
It records the full spectrum of a sample, which can then be used to build models for a specific product, process, or quality issue.