The present invention relates to the technical field of identification on adulterated meat, and in particular, to a method for identifying raw meat and high-quality fake meat based on a gradual linear array change of a component. The present invention spatially characterizes changing rules of featured components in the meat with the utilization of sensitivities of the visible/near-infrared spectral signals to changes of the components in the meat and the advantage that spectral scanning can acquire optical signals of the samples spatially and consecutively, further constructs the identification model according to differences in components and spectra of a region of interest in the hyperspectral image by taking a derivative for characterizing rates of change of the featured components.

A portable data collection device includes a FT-NIR spectrometer operable with a direct current (DC) power input, a hand-held probe having a large sampling area, a portable computer operable with a DC power input and configured for operation of the FT-NIR spectrometer; and a portable electric power source for providing a DC power output. The components of the portable data collection device are contained within a portable carrier. The portable data collection device is used onsite to obtain a spectra from a material sample. The spectra is sent by the portable computer of the portable data collection device to a remote computer/server. Application methods stored in a remote database analyze the spectra to obtain desired trait results for the material sample. The obtained results are stored on a remote database and can be displayed on a screen of an on-site mobile device.

A portable data collection device includes a FT-NIR spectrometer operable with a direct current (DC) power input, a hand-held probe having a large sampling area, a portable computer operable with a DC power input and configured for operation of the FT-NIR spectrometer; and a portable electric power source for providing a DC power output. The components of the portable data collection device are contained within a portable carrier. The portable data collection device is used onsite to obtain a spectra from a material sample. The spectra is sent by the portable computer of the portable data collection device to a remote computer/server. Application methods stored in a remote database analyze the spectra to obtain desired trait results for the material sample. The obtained results are stored on a remote database and can be displayed on a screen of an on-site mobile device.

A remote sampling sensor for determining characteristics of a sample includes measurement optics and an insertion probe. The measurement optics are configured to emit light and detect returned light. The insertion probe includes a chamber, the chamber being configured to permit the sample to enter the chamber, an insertion tip at a distal end of the insertion probe, and a retro-reflective optic adjacent the insertion tip. The retro-reflective optic is configured to return the light from the measurement optics through the chamber to the measurement optics. The insertion probe is configured to be remotely located from the measurement optics.

In a method of measuring moisture in corn, an ear of corn is operatively coupled to a moisture meter and an amount of moisture is determined while the ear of corn is being grown on a corn plant. The moisture meter can use a spectrometry to determine the amount of moisture in the corn. A moisture meter includes a corn interface configured to conformingly engage the ear of corn when pressed against the ear of corn to form an optical seal about an opening through which the spectrometer determines the amount of moisture in the corn to inhibit ambient light from passing between the corn interface and the ear of corn into the at least one opening.

In a method of measuring moisture in corn, an ear of corn is operatively coupled to a moisture meter and an amount of moisture is determined while the ear of corn is being grown on a corn plant. The moisture meter can use a spectrometry to determine the amount of moisture in the corn. A moisture meter includes a corn interface configured to conformingly engage the ear of corn when pressed against the ear of corn to form an optical seal about an opening through which the spectrometer determines the amount of moisture in the corn to inhibit ambient light from passing between the corn interface and the ear of corn into the at least one opening.

A characteristic of edible oil may be evaluated using a spectrometer. For example, optical reflectance data may be obtained from edible oil in situ in a frying apparatus housing the edible oil, the reflectance data corresponding to a specified range of infra-red wavelengths. A model profile corresponding to the characteristic being assessed may be obtained, such as from a repository housing a secured library of such profiles. The model profile may define a regression vector for use in transforming the reflectance data to generate a value corresponding to the characteristic being assessed. A criterion may be applied to the value to establish a simplified representation of the characteristic for presentation to a user for assessment of oil quality.

A characteristic of edible oil may be evaluated using a spectrometer. For example, optical reflectance data may be obtained from edible oil in situ in a frying apparatus housing the edible oil, the reflectance data corresponding to a specified range of infra-red wavelengths. A model profile corresponding to the characteristic being assessed may be obtained, such as from a repository housing a secured library of such profiles. The model profile may define a regression vector for use in transforming the reflectance data to generate a value corresponding to the characteristic being assessed. A criterion may be applied to the value to establish a simplified representation of the characteristic for presentation to a user for assessment of oil quality.

A composition sensor for measuring composition of fluid mixtures is presented. The composition sensor includes a plurality of high-brightness emission sources having respective spectrally narrow wavelength emission bands in the infrared region. The wavelength emission bands overlap absorption wavelength bands of the composition. The wavelength emission bands are wavelength multiplexed and time multiplexed prior to emission through a fluid mixture. A single optical detector senses the emitted light. The composition sensor includes arms that can rotate to measure composition at different angular position of a pipe in a lateral section of an oil well. Rotation of the arms is provided by rotation of an element of a mobile vessel to which the arm is rigidly coupled. The rotation of the arms is provided by a rotation of a nose of the mobile vessel that rotates independently from a main body of the mobile vessel.

A composition sensor for measuring composition of fluid mixtures is presented. The composition sensor includes a plurality of high-brightness emission sources having respective spectrally narrow wavelength emission bands in the infrared region. The wavelength emission bands overlap absorption wavelength bands of the composition. The wavelength emission bands are wavelength multiplexed and time multiplexed prior to emission through a fluid mixture. A single optical detector senses the emitted light. The composition sensor includes arms that can rotate to measure composition at different angular position of a pipe in a lateral section of an oil well. Rotation of the arms is provided by rotation of an element of a mobile vessel to which the arm is rigidly coupled. The rotation of the arms is provided by a rotation of a nose of the mobile vessel that rotates independently from a main body of the mobile vessel.