An X-ray inspection apparatus suppresses anomalies in inspection results caused by the X-ray inspection apparatus being used while an unsuitable setting is in effect. The X-ray inspection apparatus is provided with an inspection unit, a setting unit, a storage unit, an assessment unit, and a notification unit. The inspection unit inspects an irradiated article using detection data obtained by detecting X-rays. The setting unit sets a setting value used in inspection of the article by the inspection unit. The storage unit stores a detection value based on the detection data. The assessment unit assesses, on the basis of the detection value stored in the storage unit, whether or not the setting value set by the setting unit is suitable. When the assessment unit has assessed that the setting value is not suitable, the notification unit issues a notification to indicate that the setting value is not suitable.

A measurement system is provided with an array of laser diodes with one or more Bragg reflectors. At least a portion of the light generated by the array is configured to penetrate tissue comprising skin. A detection system configured to: measure a phase shift, and a time-of-flight, of at least a portion of the light from the array of laser diodes reflected from the tissue relative to the portion of the light generated by the array; generate one or more images of the tissue; detect oxy- or deoxy-hemoglobin in the tissue; non-invasively measure blood in blood vessels within or below a dermis layer within the skin; measure one or more physiological parameters based at least in part on the non-invasively measured blood; and measure a variation in the blood or physiological parameter over a period of time.

A measurement system is provided with an array of laser diodes with one or more Bragg reflectors. At least a portion of the light generated by the array is configured to penetrate tissue comprising skin. A detection system configured to: measure a phase shift, and a time-of-flight, of at least a portion of the light from the array of laser diodes reflected from the tissue relative to the portion of the light generated by the array; generate one or more images of the tissue; detect oxy- or deoxy-hemoglobin in the tissue; non-invasively measure blood in blood vessels within or below a dermis layer within the skin; measure one or more physiological parameters based at least in part on the non-invasively measured blood; and measure a variation in the blood or physiological parameter over a period of time.

This invention shows a system and method for phenotype characterization of agricultural crops, comprising at least one support device which can be reconfigured in an autonomous or controlled remote manner. It includes a central embedded microcontroller connected to atmospheric sensors located in the upper body, a microcontroller connected to a multi-spectral camera located at the distal end of the arm. The central microcontroller is connected to a base microcontroller that receives signals from soil sensors. A solar panel provides the energy source to a regulating unit that powers the microcontrollers. The system contains a communication unit that includes a router wirelessly connected to Internet.

Provided is a simulation model sample for evaluation of heat treatment including a porous water absorbing material that is flexible and deformable; and a container that is configured to be able to contain the porous water absorbing material having water absorbed therein. Also provided is a method for evaluating heat treatment using a simulation model sample including a step of allowing a flexible and deformable porous water absorbing material to absorb water, and the porous water absorbing material to be contained in a container, to produce a simulation model sample; and a step of subjecting the simulation model sample to heat treatment, while measuring a temperature inside the simulation model sample.

According to an embodiment, it is a system, comprising, a specialized device comprising, a flow sub-system configured for sampling a gas sample, a gas chamber having a gas sensor array comprising a configurable sensor interface, wherein the specialized device is operable to collect an aroma signal from the gas sample, a microcontroller comprising a processor and a memory operable to digitalize the aroma signal to obtain aroma data, store and transfer an aroma data, perform an aroma analysis on the aroma data, and provide a feedback to a user, wherein the system is an aroma evaluation system operable to detect a target aroma in real-time, and wherein the system is operable to interface to at least one of a cloud platform and a smartphone.

Devices, systems and methods for sorting and labeling food products are provided. Respective spectra of food products for a plurality of segments of a line are received at a controller from at least one line-scan dispersive spectrometer configured to acquire respective spectra of the food products for the plurality of segments of the line. The controller applies one or more machine learning algorithms to the respective spectra to classify the plurality of segments according to at least one of one or more food parameters. The controller controls one or more of a sorting device and a labeling device according to classifying the plurality of segments to cause the food products to be one or more of sorted and labeled according to the at least one of the one or more food parameters.

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.

Provided are methods for quantifying peanut proteins in food products using a matrix-specific calibration curve. Methods provided include exposing a food sample comprising a matrix and one or more peanut proteins to an extractant to extract the one or more peanut proteins from the food sample; heating the food sample to reduce protein interference in the food sample; digesting one or more peanut proteins in the food sample to form one or more peanut peptides; determining a relative response value of the one or more peanut peptides in the food sample by analyzing the food sample using liquid chromatography with tandem mass spectrometry; and determining an amount of the one or more peanut proteins by comparing the determined relative response value of the one or more peanut peptides in the food sample to a matrix-specific calibration curve.

Provided are methods for quantifying peanut proteins in food products using a matrix-specific calibration curve. Methods provided include exposing a food sample comprising a matrix and one or more peanut proteins to an extractant to extract the one or more peanut proteins from the food sample; heating the food sample to reduce protein interference in the food sample; digesting one or more peanut proteins in the food sample to form one or more peanut peptides; determining a relative response value of the one or more peanut peptides in the food sample by analyzing the food sample using liquid chromatography with tandem mass spectrometry; and determining an amount of the one or more peanut proteins by comparing the determined relative response value of the one or more peanut peptides in the food sample to a matrix-specific calibration curve.