Determination of the sweetener cyclamate using photometry
Suitable for beer-based beverages and NAB
Cyclamate reacts with sodium hypochlorite to form N,N-dichlorocyclohexylamine. The chlorine compounds are isolated through extraction with heptane and are washed free using excess chlorine. The UV absorption is measured at 314 nm.
Determination of neohesperidin dihydrochalcone using HPLC
Suitable for NAB and beer-based beverages
Neohesperidin dihydrochalcone is separated from the matrix by means of reversed phase HPLC and determined through UV detection.
This method evaluates the varietal purity of a sample of malting barley with the aid of image processing, artificial intelligence and Internet of Things (IoT) technology.
A scanning device is utilized to obtain a high resolution image of a sample of barley kernels. Algorithms are then applied to detect and segment each individual kernel captured in the image. Subsequently, each individual kernel is analyzed by a Convolutional Neural Network (CNN) with a layer structure that has been specifically selected and developed for analyzing and classifying agricultural commodities. The CNN is trained with verified information (also known as "ground truth") so that it can differentiate barley varieties. The ground truth consists of pure samples of kernels from different barley varieties that were previously digitized using the device and comprises the full data set (artificial intelligence models). In order to obtain accurate artificial intelligence models, the algorithms must be trained to recognize the wide range of variability present in the pure samples, such as those collected from varieties grown in different regions and under varying conditions as well as from various crop years. The purpose of training is to teach the algorithms to understand and detect the patterns unique to each variety that can be used to distinguish it. Once trained, the algorithms are capable of accurately predicting the varietal purity of an unknown sample of barley kernels, provided that the variety has been integrated into the artificial intelligence models.
Determination of the content of steviol glycosides and stevia products in beverages.
All mixed beer drinks and beverages in general.
The decarbonated and diluted sample is chromatographically separated on a polar-endcapped amino-HILIC phase and detected using a mass spectrometer with ESI source. The quantitative evaluation is carried out by external calibration.