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.

The present disclosure relates to methods and systems for obtaining image information of an organism including a set of optical data; calculating a growth index based on the set of optical data; and calculating an anticipated harvest time based on the growth index, where the image information includes at least one of: (a) visible image data obtained from an image sensor and non-visible image data obtained from the image sensor, and (b) a set of image data from at least two image capture devices, where the at least two image capture devices capture the set of image data from at least two positions.

Aspects relate to mechanisms for mass screening of samples. A portable laboratory device based on spectroscopic analysis of samples containing analytes under test can facilitate the mass screening. The portable laboratory device can include a sample head including a structure configured to facilitate application of the sample to the sample head and an optical measurement device including one or more light sources and a spectrometer. Light from the light source(s) incident on the sample may be directed to the spectrometer to obtain a spectrum of the sample. The optical measurement device can further include a data transfer device configured to provide the spectrum obtained by the spectrometer to a spectrum analyzer to produce a result from the spectrum.

Provided are an automatic analyzer and an optical measurement method for correcting a variation in the multiplication factor of a photoelectric element with high accuracy. The automatic analyzer comprises: a photoelectric element which generates electrons by light and outputs a current signal; a voltage application unit which applies a voltage to the photoelectric element; and a processing unit which corrects a variation in the multiplication factor of the photoelectric element, wherein the photoelectric element outputs a pulse signal as the current signal, and the processing unit corrects the variation in the multiplication factor on the basis of the pulse area of the pulse signal.

A method for evaluating spectra of a biological substance of animal and/or vegetable origin, may include (a) detecting a spectrometer in a network formed of at least one spectrometer and an input/output device, (b) requesting the individual status of each spectrometer in the network of (a), and displaying the detected spectrometers and their status on the input/output device, the status reflecting if a spectrometer is available for recording a spectrum or not, (c) receiving a selection from the spectrometers being available for recording a spectrum on the input/output device, (d) recording a spectrum of a sample material of animal origin, vegetable origin or a mixture thereof on the spectrometer selected in (c), (e) predicting a value for at least one parameter from the spectrum of (d) by a calibration function and/or calibration graph suitable for predicting the parameter value, and (e) displaying the result from (e) on the input/output device.

The present disclosure relates to a system and method for automatic online monitoring of dimethyl sulfide in environment. The method may realize separation of water vapor and the substance to be detected in accordance with the adsorption phase equilibrium principle of substance, thus eliminating the influence of water vapor on detection. The disturbance of other substances in an environmental sample can be eliminated in accordance with the charge or proton transfer principle of molecule ion reaction. Automatic online sampling, preprocessing and sample injection units are configured using valves, numerically controlled motor-driven injectors, flow controllers and a peristaltic pump, so that continuous online detection of DMS in an environmental water sample (e.g., seawater, or lake water) or a gas sample (e.g., atmosphere) can be realized.

Medical test cards for detecting analytes are provided including a substantially planar body, an analyte detection means, an opening feature, and an optical code. The analyte detection means is enclosed within the planar body and is configured to provide a colorimetric change when a portion of the analyte detection means is contacted with the analyte. The opening feature is configured to provide access to the analyte detection means and the optical code includes information identifying the analyte detection means. Uses of such medical test cards include accessing the analyte detection means enclosed within the planar body by using the opening feature and contacting the analyte detection means with the sample. The optical code is read using an imaging device to identify the analyte detection means and the analyte detection means is imaged following contact with the sample using the imaging device.

Described herein is a system and a method to conduct for inline estimation of milk parameters such as fat, protein, lactose, somatic cell contents (SCC), and progesterone during the milking process that can be performed real time during the milking process with a commercially acceptable level of accuracy. In one example embodiment, specific wavelengths are identified that facilitate the use of low-cost Near-Infrared (NIR) Spectrometers and sensors to develop the inline, real time estimation system, with at least two segments or ranges being identified of NIR wavelengths for determining content or composition for these key parameters.

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.