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Terms from A - Z


What is chemometrics? What is quantification?
Learn more about the terms we use most frequently.



Chemometrics is the science that deals with the extraction of information from chemical data. At Senorics we use chemometrics to evaluate spectroscopic data and build so called predictive chemometric models.

Chemometric model

Chemometric models are used to align measured spectra with reference values and enable the output of interpretable results. The result serves as an answer to a certain issue. For example, a chemometric model could tell whether a spectrum is representing silk, viscose or neither of the two when used for authenticity evaluation.


Dispersive element

Dispersive elements optically disperse incoming radiation. In spectroscopy they have been known for decades and one classic example is a prism; typically, a triangular shaped object made from glass. If white light enters the surface of the prism, it will be refracted and dispersed into its spectral components. All in all, leading to a rainbow-like splitting of the incoming white light.



To identify means to authenticate the material you are analyzing. When identifying, you get to know the material your sample is made of and whether it is pure or not. For example, you could determine if your shirt is made of cotton, polyester or maybe a mixture of both.


Material Sensing

Material Sensing is the identification and qualitative or quantitative determination of a material and its composition. At Senorics we carry out Material Sensing using NIR spectroscopy and chemometrics.



To quantify means to determine how much of a certain ingredient is present in your sample. When quantifying, you don’t just get information about what the analyzed material is made of, but a precise percentage of its composition. For example, you could determine that your shirt is made from cotton and polyester, and you could further detect how much of each material is present in the fabric, e.g., 88% cotton and 12% polyester.


Reference values

Reference values are representative samples according to your problem of interest. For example, if you want to identify whether fabrics are made of silk or viscose, a sufficient number of silk and viscose samples is required to serve as a reference.



Samples are used as reference values when building a chemometric model. The number of samples required depends heavily on the scenario and its complexity.


At Senorics we store data, such as chemometric models, in SenoCloud. It is directly connected to SenoSoft and serves as an online space to save important information. For example, if you needed a specific chemometric model to carry out spectral measurement, we would create the model and save it in SenoCloud so that you could easily access it with Senosoft.


Our SenoCorder is a handheld spectrometer designed to measure powders and solids quickly, easily and non-destructively. It is a plug and play solution with a customer friendly software and easy interpretable results.


SenoSoft is the software we use to evaluate measurements carried out by the SenoCorder and output spectra. It is also connected to SenoCloud to access necessary chemometric models.


Spectrometers are used to carry out measurements in spectroscopy. They combine a detection device (microphone) and an analysis unit (software). In this respect, your ear is a spectrometer as it detects acoustical waves and, in combination with your brain, converts them into meaningful information – the sound you hear.

Spectroscopic measurement

A spectroscopic measurement serves for the identification of objects and materials. It consists of 4 steps which are the illumination of the object, the absorption and reflection of the incoming light by the object, the detection of the transmitted and reflected light and the identification and quantification of the object and its material composition.


Imagine the interaction between an object and incoming light. In spectroscopy the light reflected and transmitted by the object is captured by a detection unit, and this data is then turned into interpretable results


A spectrum is the result of a spectroscopic measurement. It gives detailed information about the wavelength of the material that has been measured and ultimately about its composition. The outputted data can easily be evaluated and portrayed in a diagram.



VIS / NIR spectroscopy

In spectroscopy VIS stands for the wavelength range that is visible to the human eye. NIR on the other hand stands for the near infrared wavelength range which is only visible using certain technologies.

What terms would you like us to define?

Don't hesitate to contacts us! We are continiously updating our glossary to ensure that you are provided with the information you need.

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