Configurable handheld biological analyzers and related biological analytics methods are described for identification of biological products based on Raman spectroscopy. A biological classification model configuration is loaded into a computer memory of a configurable handheld biological analyzer having a processor and a scanner. The biological classification model configuration includes a biological classification model configured to receive a Raman-based spectra dataset defining a biological product sample as scanned by the scanner. A spectral preprocessing algorithm is executed to reduce a spectral variance of the Raman-based spectra dataset. The biological classification model identifies a biological product type based on the Raman-based spectra dataset and further based on a classification component selected to reduce at least one of (1) a Q-residual error or (2) a summary-of-fit value of the biological classification model. The biological classification model configuration is transferrable to and loadable on other configurable handheld biological analyzers.

A Raman multi-gas detection system including an enhancement unit coupled between a light source and a detector. The enhancement unit includes a nanongrid having a plurality of nanogaps. A gas is coupled to the enhancement unit and is configured to flow through the plurality of nanogaps of the nanogrid. The nanogrid comprises one or more plasmon-active materials. The light source is configured to generate plasmon-enhanced electric fields in the plurality of nanogaps of the nanogrid to induce enhanced Raman scattering of the constituent molecules in the gas within the plurality of nanogaps such that a plurality of different constituent molecules in the gas can be detected. In one embodiment, a molecule in the gas is configured to scatter the light from the light source at a rate more than 1000 times greater than in the free space in the enhancement unit.

An analytical method for determining a concentration of an analyte is disclosed. In this method, an image of an optical test strip having a body fluid applied thereto is obtained with a camera of a mobile device. Local temperature information is received at a current location of the mobile device from a temperature source such as a remote weather information service or temperature sensor. Additional local temperature information is received by the mobile device from a thermochromic field provided on the test strip and/or on a color reference card. A processor determines a correction temperature and/or a correction temperature function using the local temperature information. The processor also determines the analyte concentration from the image captured and taking into account the correction temperature information.

Embodiments of this invention relate generally to a miniature multi-spectral system to detection pathogen, biomarkers, or any compound from a sample. In one example, a miniature multi-spectral system comprises a first miniature spectrometer to generate a first spectral output based on a sample, a second miniature spectrometer to generate a second spectral output based on the sample, and a processor coupled to the first and the second miniature spectrometers. The processor is configured to execute instructions to perform data fusion of the first and second spectral outputs to generate fused data, and to apply artificial intelligence (AI) of an AI module to the fused data to identify a pathogen, biomarker, or any compound from the sample.

The present invention relates to a method for determining an analyte using surface enhanced RAMAN spectroscopy and to a device which is suitable for this purpose.

A particulate matter sensor including a light source, a photodetector, and a particle filter. The light source and the photodetector are arranged in the same plane as the particle filter. Integrated particulate matter sensors are operable to detect particulate matter by measuring an optical characteristic of a filter.

An electronic device includes at least one grid structure that extends in rows and columns of a pixel array including a plurality of imaging pixels and is structured to separate the imaging pixels from one another to provide optical isolation between two adjacent imaging pixels, a grid shutter coupled to the grid structure and configured to allow a gas to enter the grid structure by opening a passage for the gas or block the gas from entering the grid structure by closing the passage in the grid structure, and a gas detection controller configured to identify the gas flowing into the grid structure based on an image that is acquired by the image sensor when the passage for the gas in the grid structure is opened to allow the gas to be present in the grid structure.

The present invention is related to the detection of formaldehyde concentrations in the air by using a coordination polymer, which comprises repeating coordination complexes with an octahedral geometry, wherein said coordination complex comprises iron (II), at least one ligand comprising an amino moiety; wherein the coordination polymer further comprises counter-ions; for the identification and/or quantification of formaldehyde.

A system (5) for quantifying a colour change in a colorimetric indicator (15), the system (5) comprises an image capture device (22) configured to acquire an image of an object (10) comprising the colorimetric indicator (15); and a processing device (20) configured to compare the acquired image to reference data (30) associated with the colourimetric indicator (15), and generate a quantitative output (28) associated with the acquired image.

A Raman sensor includes a light source assembly having a plurality of light sources configured to emit light to a plurality of skin points of skin, each of the plurality of skin points having a predetermined separation distance from a light collection region of the skin from which Raman scattered light is collected; a light collector configured to collect the Raman scattered light from the light collection region of the skin; and a detector configured to detect the collected Raman scattered light.