G01N33/10

Method and an apparatus for identifying a content property of foodstuff

The present invention relate to an apparatus for processing of foodstuff. The apparatus comprises an element for processing of the foodstuff. The apparatus further comprises a light source that is arranged to emit light having at least two wavelengths or wavelength ranges, the light source further being arranged to direct the light to a surface of at least the foodstuff, and a detector positioned to detect at least a portion of light reflected from the surface of the foodstuff, and arranged to generate an output indicative of the detected intensity. In addition, the apparatus comprises a component for identifying a content property of the foodstuff, the component being arranged to determine a relation between a generated output for one of the at least two wavelengths or wavelength ranges and a generated output for the other or another one of the at least two wavelengths or wavelength ranges, the component further being arranged to compare the determined relation with predetermined data to generate information indicative of the content property of the foodstuff. The apparatus is arranged such that processing of the foodstuff is controlled using the information indicative of the content property of the foodstuff.

Method and an apparatus for identifying a content property of foodstuff

The present invention relate to an apparatus for processing of foodstuff. The apparatus comprises an element for processing of the foodstuff. The apparatus further comprises a light source that is arranged to emit light having at least two wavelengths or wavelength ranges, the light source further being arranged to direct the light to a surface of at least the foodstuff, and a detector positioned to detect at least a portion of light reflected from the surface of the foodstuff, and arranged to generate an output indicative of the detected intensity. In addition, the apparatus comprises a component for identifying a content property of the foodstuff, the component being arranged to determine a relation between a generated output for one of the at least two wavelengths or wavelength ranges and a generated output for the other or another one of the at least two wavelengths or wavelength ranges, the component further being arranged to compare the determined relation with predetermined data to generate information indicative of the content property of the foodstuff. The apparatus is arranged such that processing of the foodstuff is controlled using the information indicative of the content property of the foodstuff.

Non-destructive assay for soybean seeds using near infrared analysis

Disclosed are methods and systems for spectral imaging of soybean samples to accurately and non-destructively measure the amount of sucrosyl-oligosaccharide in the soybean samples. Populations containing modified and unmodified soybean seeds and having varying amounts of sucrosyl-oligosaccharides, oil or protein can be sorted and separated and further used in soybean processing or breeding.

Quantitative liquid texture measurement method

A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a liquid. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a surface of a liquid contained in a container and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Textures of liquids are quantitatively measured with the quantitative acoustic model.

Quantitative liquid texture measurement method

A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a liquid. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a surface of a liquid contained in a container and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Textures of liquids are quantitatively measured with the quantitative acoustic model.

Moisture sensing device for grain handling

A moisture sensing device having an elongated chute with an open top and a gate at the bottom. The gate is connected to an actuator for opening and closing the gate. A proximity sensor is mounted to the chute adjacent the gate to detect whether the gate is open or closed. Connected to and extending into the chute is a moisture sensor. The moisture sensor, proximity sensor, and actuator are all connected to a controller.

Moisture sensing device for grain handling

A moisture sensing device having an elongated chute with an open top and a gate at the bottom. The gate is connected to an actuator for opening and closing the gate. A proximity sensor is mounted to the chute adjacent the gate to detect whether the gate is open or closed. Connected to and extending into the chute is a moisture sensor. The moisture sensor, proximity sensor, and actuator are all connected to a controller.

Automated method and system for the analysis of total dietary fiber

The invention consists of a method for determining Total Dietary Fiber (TDF) and its sub-fractions, Insoluble Dietary Fiber (IDF) and Soluble Dietary Fiber (SDF) in food and feed samples which utilizes flexible reaction/filtration containers that can be divided into one or more sections for capturing the IDF and SDF fractions separately or for capturing TDF in its entirety. Each container is fashioned as a bag that can be temporarily sealed in multiple locations to create multiple sections and is made of non-porous and porous material. Use of these containers eliminates the need for problematic transfers of mixtures from beaker to filter, and vastly improves the filtration process.

Food Processing System, Apparatus For Testing A Foreign Object Sensor And A Method For Operating The Food Processing System
20170259949 · 2017-09-14 ·

A food processing system is disclosed. The food processing system includes a food scaling portion, a food bagging portion and a chute portion connecting the food scaling portion to the food bagging portion. The food processing system also includes a foreign object sensor arranged about the chute portion. The foreign object sensor and the chute portion cooperatively form a foreign object sensing zone within a passage formed by the chute portion that extends along a portion of a length of the chute portion. The food processing system also includes at least one sensor testing conduit extending through one or both of the food scaling portion and the chute portion. An exit opening of the at least one sensor testing conduit is arranged in an opposing relationship with respect to the foreign object sensing zone. A foreign object sensor apparatus for detecting non-foodstuff material is also disclosed. A method is also disclosed.

EXTRACTION OF MYCOTOXINS
20220236151 · 2022-07-28 · ·

A method for extracting a mycotoxin, when present, from a sample. Compositions and methods include the use of high ionic strength compositions including compositions that include many amine and/or carboxyl groups such as protein based, amino acid based and polyethylene glycol based composition.