We describe a method of processing data to determine a level of free sugar in a foodstuff or drink, the method comprising: inputting data defining an ingredient list for said foodstuff or drink; inputting data for an empirical analysis (b) of nutrient levels in said foodstuff or drink; inputting data defining nutrient levels for each of ingredient in said ingredient list; wherein said analysed nutrient levels (b) in said foodstuff or drink are expressible as a combination of a matrix (A) of said ingredient nutrient levels and a vector (x) defining proportions of said ingredients in said ingredient list, representing a system of simultaneous equations defining said analysed nutrient levels in terms of said ingredient proportions and ingredient nutrient levels; identifying one or more conditions selected from the group consisting of: i) a solution to said system of simultaneous equations is non-physical, ii) said system of simultaneous equations is underdetermined, and iii) said system of simultaneous equations is overdetermined; modifying said system of simultaneous equations responsive to said identifying to add one or more additional ingredients to said ingredient list, said one or more additional ingredients representing one or more ingredients contributing to sugar content of said foodstuff or drink; and determining a level of free sugar in said foodstuff or drink from said modified system of simultaneous equations.

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 reading and reporting data from a production of an alcoholic beverage includes a data capture device having a sensor end for placement within a liquid. The sensor end has at least two sensors for measuring data related to the liquid. A transmitter located within the data capture device is coupled to the at least two sensors and the transmitter periodically transmits the data related to the liquid. Color transmission or reflection of the liquid is used to measure clarity, color of the liquid, and relative sugar content.

A method and a device for measuring an oxygen content of a headspace gas in a beverage can. The beverage can is oriented upside down to allow the headspace gas to collect at the bottom. A hollow piercer on a piercing head forms a sampling opening in the bottom of the can through which the sampling tube penetrates. The liquid level in the beverage can is lowered to establish a direct connection of the gas-filled headspace and the sampling opening. Then the headspace gas is transported from the headspace to a sensor unit via the sampling tube and/or the hollow piercer or the piercing head. The oxygen content and/or an oxygen partial pressure and/or a headspace volume of the headspace gas are determined by the sensor unit. The sampling opening is closed off airtight by sealing elements arranged on the piercer or the piercing head.

A method of characterizing and monitoring a pressing process includes acquiring online Raman spectra of a juice pressing process within a vessel at different times during the pressing process to generate a training data set; acquiring physical samples from pressing process near in time to the acquired Raman spectra; performing offline measurements of the target analyte properties and/or compositions using an assay measurement technique; generating a correlative model of the target analyte such that spectral changes in the training data set correlate with the offline measurements of the target analyte properties and/or compositions; acquiring online Raman spectra of a subsequent run of the pressing process within the vessel at different times during the run to generate a process data set; and applying the correlative model to the process data set to qualitatively and/or quantitatively predict a value of a property and/or composition of the target analyte.

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.

Provided is a method for quantitating a saccharide in a liquid sample. The method comprises incubating the liquid sample with 2,3-naphthalenediamine in the presence of iodine to allow a naphthimidazole group to be linked to the saccharide to obtain a first mixture; obtaining an .sup.1H-NMR spectrum of the first mixture; and comparing, in said .sup.1H-NMR spectrum, the intensity or integral of a proton signal corresponding to the saccharide to the intensity or integral of a proton signal corresponding to an internal standard present in the first mixture.

Information relating to a change made to a concrete mixture in a concrete mixer truck is obtained. An expected value of a selected characteristic of the concrete mixture is determined based on the change. A representation of the expected value is displayed on a processing device located in a cab of the concrete mixer truck. In one embodiment, the mixture comprises a concrete mixture. The change may comprise an addition of water to the mixture.

A method of determining a constituent related sample property of a multi-constituent sample comprising: subjecting the sample to a perturbation selected to induce a time dependent change in measurement data associated with a constituent related to the sample property to be determined; recording a time-series of measurement data following subjecting the sample to the perturbation; and determining the sample property from the application to the recorded time-series of measurement data of a calibration correlating the sample property with time-series of measurement data, said calibration being empirically derived from chemometric time-series modelling of time-series measurement data recorded for each of a plurality of reference samples following subjecting each reference sample to the perturbation, each reference sample having a different known values of the sample property.

A method of characterizing and monitoring a pressing process includes acquiring online Raman spectra of a juice pressing process within a vessel at different times during the pressing process to generate a training data set; acquiring physical samples from pressing process near in time to the acquired Raman spectra; performing offline measurements of the target analyte properties and/or compositions using an assay measurement technique; generating a correlative model of the target analyte such that spectral changes in the training data set correlate with the offline measurements of the target analyte properties and/or compositions; acquiring online Raman spectra of a subsequent run of the pressing process within the vessel at different times during the run to generate a process data set; and applying the correlative model to the process data set to qualitatively and/or quantitatively predict a value of a property and/or composition of the target analyte.