A method for determining and/or monitoring a concentration of maltodextrin and/or maltose in a mashing process comprises method steps as follows: providing a mash, heating the mash to at least one predeterminable temperature, determining the density of the mash determining the velocity of sound in the mash, ascertaining a concentration of maltodextrin and maltose in the mash, and ascertaining the concentration of maltodextrin and/or maltose in the mash.

This disclosure relates generally to a system and method for real-time non-invasive estimation of food quality within enclosed package. Existing works utilize invasive methods that require direct contact of the food item with the sensors. In the present disclosure, a potential is applied over a plurality of frequencies through the food item contained the enclosed package which includes a plurality of polyethylene layers and a conducting layer arranged between two adjacent polyethylene layers using electrochemical impedance spectroscopy. Values of electrical voltages and the electrical impedances of the food item are then obtained. A plurality of features is derived from the obtained values of the electrical voltages and the electrical impedances using a trained model. The present disclosure estimates the quality of the food item in real-time by co-relating the plurality of derived features with the quality of the food item contained inside the enclosed package.

The present invention relates to compound 1 or 2 or the composition comprising it. The present invention also relates to a process for obtaining compound 1 or 2, as well as to the use thereof for detecting GHB in beverages. An equipment or kit for use in detecting GHB in beverages is also included.

The present invention relates to compound 1 or 2 or the composition comprising it. The present invention also relates to a process for obtaining compound 1 or 2, as well as to the use thereof for detecting GHB in beverages and urine. An equipment or kit for use in detecting GHB in beverages and urine is also included.

A method for determining whether a syrup contains a preservative at a needed level is provided. The method includes measuring a conductivity of the syrup, determining whether the measured conductivity is below a predetermined conductivity value determined based on a target syrup according to a syrup recipe, and determining whether the preservative is below the needed level in response to the measured conductivity being below the predetermined conductivity value.

A system for non-invasive microwave testing a bottle of wine may include an emission probe for emitting a microwave signal through a wall of the bottle into the wine and a detection probe for receiving at least a portion of the microwave signal from the wine via the wall.

The application relates to a method for producing a sugar product and a system thereof comprising receiving a first input in a control system representative of a pre-treatment sugar composition characteristic and/or an additive; receiving a second input representative of a post-treatment sugar product target specification; using the control system to determine at least one operating parameter for addition of the additive to the pre-treatment sugar and adding the additive based on the at least one determined operating parameter, wherein the at least one determined operating parameter is determined from at least: the first input, the second input, and a correlation relating at least the first input and the second input to the at least one operating parameter; and treating the pre-treatment sugar composition by addition of the additive to produce a post-treatment sugar product with a characteristic that is at or nearer to the target specification than the characteristic of the pre-treatment sugar composition. The system includes at least one spray system for addition of an additive to a pre-treatment sugar composition; at least one sensor for determining one or both of a pre-treatment sugar composition characteristic, or an additive characteristic, and a post-treatment sugar product characteristic and a control system configured to operate as mentioned above.

The present disclosure includes a process automation technology sensor for detecting at least one measured variable of a medium, the sensor including a process connection for attaching the sensor to a container in which the medium is located; at least two webs which run essentially parallel to a longitudinal axis of the sensor, where the webs are arranged on the medium side extending from the process connection; and at least one first housing portion that comprises a temperature sensor, where the first housing portion is arranged between the webs.

Disclosed herein, according to an aspect of some embodiments, is a dipping refractometer. The dipping refractometer includes a prism and a casing, housing a light source and a light sensor. The prism is mounted in/on the casing such as to allow dipping the prism in a fluid such that two surfaces of the prism and the fluid forming two respective direct prism-fluid interfaces. The prism, the light source, and the light sensor are configured such that for a continuous range of values of fluid refractive indices, most of the light incident on the light sensor, originating from the light source, undergoes total internal reflection off of each of the two direct prism-fluid interfaces.

Method for determining the concentrations of constituent chemical species in a mixture, including the steps of: using nuclear magnetic resonance spectroscopy, acquiring an NMR measurement for a sample of the mixture; and for each of the constituent chemical species, retrieving a reference model representative of the NMR FID signal or frequency domain spectra from a database. Each model has a number of parameters, and for at least one of the constituent chemical species, the reference model is a quantum mechanical model. The method further includes, using a computer, generating a model signal for the mixture and adjusting some or all of the model parameters to fit the model signal to the measured data; and based on the fitted model signal, calculating and displaying the concentrations of the constituent species in the sample.