Abstract:
This invention provides a means for measuring a cholesterol content of a chicken egg by a non-destructive means. This invention relates to a method for measuring a cholesterol content of a chicken egg comprising: a step of light irradiation of irradiating the chicken egg with light in the visible to near-infrared wavelength range; a step of light detection of detecting light radiated from the chicken egg caused by that the light irradiated in the step of light irradiation is transmitted through the chicken egg or reflected inside the chicken egg; a step of spectrum acquisition of acquiring a near-infrared spectrum of the light detected in the step of light detection; and a step of cholesterol content determination of determining a cholesterol content of the chicken egg on the basis of the near-infrared spectrum acquired in the step of spectrum acquisition.
Abstract:
A spectroscopic method for spectroscopic detection and identification of bacteria in culture is disclosed. The method incorporates construction of at least one data set, which may be a spectrum, interference pattern, or scattering pattern, from a cultured sample suspected of containing said bacteria. The data set is corrected for the presence of water in the sample, spectral features are extracted using a principal components analysis, and the features are classified using a learning algorithm. In some embodiments of the invention, for example, to differentiate MRSA from MSSA, a multimodal analysis is performed in which identification of the bacteria is made based on a spectrum of the sample, an interference pattern used to determine cell wall thickness, and a scattering pattern used to determine cell wall roughness. An apparatus for performing the method is also disclosed, one embodiment of which incorporates a multiple sample analyzer.
Abstract:
A system and method for in-field near infrared spectroscopy (NIRS) analysis of rubber and resin concentrations a guayule plant is provided. The system includes a wagon or other vehicle with the NIRS device mounted on the wagon. A computer or processor electrically coupled to the NIRS device is also housed within an area or extension of the wagon. During measurement of a guayule plant in the field, a guayule plant covering is placed over the guayule plant and a light shield coupled to the NIRS device is inserted into an opening on the guayule plant covering. The NIRS device is configured to perform a reading of the guayule plant within the plant covering and communicate results of the reading to the computer. A calibration equation is then preferably applied to the guayule plant readings to produce the rubber and resin concentrations of the guayule plant.
Abstract:
A seed sorter system is operable to sort seeds based on one or more characteristics of the seeds. The system includes a seed loading station operable to isolate individual seeds from a plurality of seeds and load the isolated seeds into a seed tray, an imaging and analysis subsystem operable to collect image data of at least a top portion and a bottom portion of each of the seeds in the seed tray and determine one or more characteristics of each of the seeds, a seed off-load and sort station operable to remove the seeds from the seed tray and sort the seeds to desired receptacles based on the determined one or more characteristics of the seeds, and a seed transport operable to move the seed tray between the seed loading station, the imaging and analysis subsystem, and the seed off-load and sort station.
Abstract:
A measurement system includes a light source generating an output optical beam using semiconductor sources generating an input beam, optical amplifiers outputting an intermediate beam, and optical fibers receiving the intermediate beam and forming a first optical beam. A nonlinear element broadens the output beam spectrum to at least 10 nm, the spectrum comprising a near-infrared wavelength of 700-2500 nm. A measurement apparatus receives the output optical beam and delivers to a sample an analysis output beam. A receiver receives and processes the analysis output beam reflected or transmitted from the sample.
Abstract:
A method of accurately measuring the concentration of at least one of an aqueous cleaning agent and soil in an aqueous cleaning process which includes providing a source of near infrared light emitting useful amounts of light with wavelengths between approximately 0.8 μm and 2.5 μm, transmitting the near infrared light from the light source to a probe, contacting the probe with a cleaning bath sample such that one of the absorption and the reflection of the light at one or more wavelengths can be measured, transmitting the light that has interacted with the sample to a detector, measuring the change in light intensity at one or more wavelengths in the near infrared region using a near infrared detector, generating an electronic signal that is representative of the change in intensity, applying chemometric techniques to quantitatively determine the concentration of the cleaning agent and or soil, and outputting the measured cleaning agent or soil concentration. The light source is connected to the probe via a fiber-optic cable and the probe is connected to the detector via a fiber-optic cable.
Abstract:
Apparatus for performing Raman spectroscopy may include a first laser source having a first emission wavelength and a second laser source having a second emission wavelength. A separation between the first and second emission wavelengths may correspond to a width of a Raman band of a substance of interest. A switch may provide switching between the first and second laser sources. An ensemble of laser emitters may be provided. A Bragg grating element may receive laser light from the ensemble. An optical system may direct light from the Bragg grating element into an optical fiber. A combined beam through the optical fiber may contain light from each of the emitters.
Abstract:
An NIR analyzer with the optical probes across a pipe, or in a bypass configuration, after a stabilizer in an oil or condensate production plant. Prior to use, liquid samples from the plant are analyzed in a chemical lab to obtain reference vapor pressure or compositional values. A chemometric model using known techniques is then built with the captured absorption spectra and the reference lab results. Preprocessing methodologies can be used to help mitigate interferences of the fluid, instrument drift, and contaminate build up on the lenses in contact with the fluid. The chemometric model is implemented through the NIR analyzer as the calibration curve to predict the vapor pressure or other values of the flowing fluid in real time.
Abstract:
Apparatus for performing Raman spectroscopy may include a first laser source having a first emission wavelength and a second laser source having a second emission wavelength. A separation between the first and second emission wavelengths may correspond to a width of a Raman band of a substance of interest. A switch may provide switching between the first and second laser sources. An ensemble of individually addressable laser emitters may be provided. A Bragg grating element may receive laser light from the ensemble. An optical system may direct light from the Bragg grating element into an optical fiber. A combined beam through the optical fiber may contain light from each of the emitters.
Abstract:
Material classification using multiplexed illumination by broadband spectral light from multiple different incident angles, coupled with multi-spectral narrow band spectral measurement of light reflected from the illuminated object of unknown material, wherein selection of spectral bands for illumination or for narrow-band capture may comprise analysis of a database of labeled training material samples within a multi-class classification framework, captured using a relatively large number of spectral bands (such as 32 spectral bands), so as to select a subset of a relatively fewer number of spectral bands (such as 5 spectral bands), wherein the selected spectral bands in the subset retain a significant aptitude for distinguishing between different classifications of materials.