The present invention relates to a method for the determination of processing influences on the quality of feedstuff raw materials and/or feedstuffs, in which the processing conditions indicator of the of feedstuff raw materials and/or feedstuffs is determined and the specific digestibility coefficient of an amino acid of a feedstuff raw material and/or feedstuff in an animal species is determined. The present invention also relates to a process for the optimization of feedstuffs considering the determined processing influences and the thus obtained and/or obtainable feedstuffs.

Embodiments generally relate to tracking food safety in a supply chain. In some embodiments, a method includes receiving a case identifier associated with a case of food, retrieving food information concerning the food items, analyzing the food information to determine an in-use portion of a distribution path, and associating the case identifier with user identifiers associated with candidate users determined to have purchased one or more of the food items. The method further includes receiving an incident notification message including an indication of a problem with the food item associated with the case, and identifying the case identifier associated the food item associated with the food item identifier in the incident notification message, and retrieving the one or more user identifiers associated with the case identifier, and sending one or more problem notification messages to one or more client devices of one or more candidate users.

Embodiments generally relate to tracking food safety in a supply chain. In some embodiments, a method includes receiving a case identifier associated with a case of food, retrieving food information concerning the food items, analyzing the food information to determine an in-use portion of a distribution path, and associating the case identifier with user identifiers associated with candidate users determined to have purchased one or more of the food items. The method further includes receiving an incident notification message including an indication of a problem with the food item associated with the case, and identifying the case identifier associated the food item associated with the food item identifier in the incident notification message, and retrieving the one or more user identifiers associated with the case identifier, and sending one or more problem notification messages to one or more client devices of one or more candidate users.

An air pressure-machine vision based system for measuring a rheological property of a viscoelastic material includes a machine body, a lifting experiment table system, an air pressure generation control system, an image collection system, and a controlling and information processing system, where the lifting experiment table system, the air pressure generation control system, the image collection system and the controlling and information processing system are mounted on the machine body; the lifting experiment table system includes a lifting table stepping motor, an L-shaped lifting table and a lifting table motor driver, and the lifting table motor driver is connected to the lifting table stepping motor and configured to drive the lifting table stepping motor; and the lifting table stepping motor is connected to the L-shaped lifting table and configured to control lifting of the L-shaped lifting table.

Reinforcement learning is performed on control conditions of the perishable product environment by using information regarding freshness of perishable products by a freshness sensor to automatically control the perishable product environment. There are provided: a freshness determination section 520 acquiring information regarding freshness of a perishable product contained in a storage container; and an analysis section 530 learning, by reinforcement learning, an inside environment of the storage container for the freshness of the perishable product acquired by the freshness determination section 520 to decide a reward used in the learning. The analysis section 530 decides the reward based on the decrease in the freshness over a certain period of time under the inside environment for the freshness determined based on the freshness acquired by the freshness determination section 520. Then, the analysis section 530 learns the inside environment for the freshness based on the decided reward.

Systems and methods are provided for logging temperatures of food products using a temperature assembly including a housing and one or more temperature sensors, e.g., an infrared sensor for surface temperatures and an elongate probe for acquiring a temperature within a food product, and a mobile electronic device including a camera, a communication interface for communicating with the temperature assembly, a processor configured to acquire a temperature reading from the temperature assembly and an image from the camera when the temperature reading is acquired, and memory for storing the temperature reading and image.

A method of detecting a pathogen in a sample, comprising: mixing at least a portion of the sample with a plurality of capture particles functionalized with a molecular recognition element exhibiting specific binding to said pathogen to capture at least a portion of pathogen particles when present in the sample; exposing said captured pathogen particles to at least two fluorescent dyes, which emit fluorescent radiation at two different wavelengths in response to excitation, such that live pathogen particles among said captured pathogen particles are preferentially stained with one of the dyes and dead pathogen particles among said captured pathogen particles are preferentially stained with the other dye; irradiating the captured stained pathogen particles with excitation radiation to excite said fluorescent dyes; and detecting fluorescent radiation emitted by said excited fluorescent dyes; and distinguishing said live pathogen particles from said dead pathogen particles based on wavelengths of the detected fluorescent radiation.

The disclosure generally relates to a test device that detects microorganism growth by detecting a gas metabolite (e.g., carbon dioxide) produced during the growth of bacteria or other microorganism in a tested sample. The test device can contain a culture growth media separated from a detection area by a gas-permeable membrane. The gas-permeable membrane permits carbon dioxide to permeate into the detection area. The detection area includes a solidified mixture of pH indicators and a gelling agent in the form of a semi-permeable matrix. The optical properties, including the absorbance of light at various wavelengths, of the detection solution change with alterations in carbon dioxide concentration. This test device can then be placed in an incubation and optical detection instrument to monitor changes in optical properties of the detection are induced during microorganism growth in the culture medium.

The disclosure generally relates to a test device that detects microorganism growth by detecting a gas metabolite (e.g., carbon dioxide) produced during the growth of bacteria or other microorganism in a tested sample. The test device can contain a culture growth media separated from a detection area by a gas-permeable membrane. The gas-permeable membrane permits carbon dioxide to permeate into the detection area. The detection area includes a solidified mixture of pH indicators and a gelling agent in the form of a semi-permeable matrix. The optical properties, including the absorbance of light at various wavelengths, of the detection solution change with alterations in carbon dioxide concentration. This test device can then be placed in an incubation and optical detection instrument to monitor changes in optical properties of the detection are induced during microorganism growth in the culture medium.

The invention discloses a method for the detection of sialate glycosyl casein glycomacropeptide by boronate affinity column enrichment-liquid chromatography-tandem mass spectrometry using phenylboric acid modified mesoporous silica as packing material, which belongs to the field of food analysis and detection. The method includes the following steps: (1) sample preparation; (2) enrichment and purification of boronate affinity column; (3) liquid chromatography-tandem mass spectrometry detection. The invention makes use of the affinity property of phenylboric acid to the special sugar group sialic acid on the serine and threonine residues in casein glycogiant peptide, regulates the adsorption and elution of casein glycogiant peptide with sialic acid group by changing pH. Combined with the high sensitivity and accuracy of liquid chromatography tandem mass spectrometry, it can be used for qualitative and quantitative analysis of casein glycomacropeptide with sialate glycol-group in phenylketonuria special medical formulations with complex matrix.