Detection system for detecting at least one extracellular vesicle in a microfluid, including a broadband light source, collimating and focusing optics, a spectrophotometer, a microfluid apparatus and an active sensing element positioned inside the microfluid apparatus, the active sensing element including a substrate, a thin metal layer deposited on the substrate and a dielectric waveguide layer deposited on the metal layer, the light source generating at least one incident beam of light in the near infrared region, the metal layer and the waveguide layer each include a plurality of waveguides, the collimating optics collimates the incident beam of light on the substrate via the coupler, the focusing optics receives at least one reflection of the incident beam of light and provides the reflection to the spectrophotometer, the active sensing element causes surface plasmon waves in the microfluid when the microfluid is injected into the microfluid apparatus and the spectrophotometer detects resonance wavelength shifts in the reflection according to the surface plasmon waves thereby detecting the presence of the extracellular vesicle in the microfluid.

A light transmission structure is provided for use, in conjunction with a light source and detector, for selective detection of biomolecule interactions and/or absorption of infrared light. The light transmission structure includes a substrate having a bottom surface adapted to couple the light source and detector to the light transmission structure, a coupling and enhancing layer disposed on at least a portion of an upper surface of the substrate, a first near-critical angle anti-reflective coating (NCA-ARC) layer disposed on at least a portion of an upper surface of the coupling and enhancing layer, and a second NCA-ARC layer disposed on at least a portion of an upper surface of the first NCA-ARC layer. An upper surface of the second NCA-ARC layer is functionalized and textured so that transmitted incident light is scattered out of the light transmission structure. A difference in refractive index between adjacent NCA-ARC layers is less than about 0.01.

A biological sensing apparatus includes an optical waveguide substrate, a surface plasmon resonance (SPR) layer, and a lossy mode resonance (LMR) layer. The optical waveguide substrate includes a light input end and a light output end opposite to each other, and a biological sensing area is formed on one surface of the optical waveguide substrate between the light input end and the light output end. The SPR layer includes a metal layer and a plurality of biological probes. The metal layer is arranged on part of the biological sensing area, and the plurality of biological probes are evenly arranged on the metal layer. The LMR layer is arranged on part of the biological sensing area, and the LMR layer and the SPR layer are not overlapped. The present disclosure further includes a biological sensing system and a method of using the same.

Detection system for detecting at least one extracellular vesicle in a microfluid, including a broadband light source, collimating and focusing optics, a spectrophotometer, a microfluid apparatus and an active sensing element positioned inside the microfluid apparatus, the active sensing element including a substrate, a thin metal layer deposited on the substrate and a dielectric waveguide layer deposited on the metal layer, the light source generating at least one incident beam of light in the near infrared region, the metal layer and the waveguide layer each include a plurality of waveguides, the collimating optics collimates the incident beam of light on the substrate via the coupler, the focusing optics receives at least one reflection of the incident beam of light and provides the reflection to the spectrophotometer, the active sensing element causes surface plasmon waves in the microfluid when the microfluid is injected into the microfluid apparatus and the spectrophotometer detects resonance wavelength shifts in the reflection according to the surface plasmon waves thereby detecting the presence of the extracellular vesicle in the microfluid.

An electronic device for assessing a state of a product likely to transform by emission of volatile organic compounds includes olfactory sensors, designed to provide signals representative of a presence of volatile organic compounds in the ambient air close to the product, and a processor for processing the provided signals to obtain a signature representative of the state of the product. It further includes a memory for storing a reference signature, representative of an exposure of the olfactory sensors to a reference humid environment in which the product is not present, and a computer which computes a similarity value for similarity between the signature representative of the state of the product and the reference signature, to provide a product transformation index value from the computed similarity value.

A method for recalibrating an electronic nose includes successively injecting, into a measurement chamber, reference gases that do not contain target compounds and that have various values of relative humidity. A measurement signal is determined in the course of each injection. Then, for each reference gas, a baseline is determined, which baseline is representative of the determined measurement signal. The baseline is also associated with the relative humidity of the reference gas present. A second correction function is determined on the basis of the determined baselines and of the predetermined values of relative humidity. The second correction function is then stored in a processing uni instead of a first correction function.

A fiber-optic sensing apparatus, system, and method for characterizing at least one metal ion in a solution are provided. The sensing apparatus includes a fiber-optic sensor and a controller. The sensor includes an optical fiber with tilted grating in its core, and includes a conductive and surface plasmon resonance (SPR)-active coating assembly that allows the sensor to also serve as an electrochemical working electrode. The controller is electrically connected with the sensor, configured to provide an adjustable potential such that when the coating assembly is in contact with the solution, redox reactions of each of the at least one metal ion occur on an outer surface thereof, resulting in a detectable change of the surface plasmon waves generated in the fiber-optic sensor. Based on the change thus detected, identities and/or concentration of the at least one metal ion in the solution can be determined with high accuracy and sensitivity.

Systems, devices, and methods for analysis of biological matter using plasmon resonance are provided. A plasmonic device can include a sensing platform, a base, and a fluidic module. The sensing platform can include a sensor disposed on a prism, which can be disposed on a substrate. The substrate can further include a light source and a refraction detector.

An odor identification device includes capture sites designed to capture odorous volatile organic compounds present in an ambient air; an imaging system for imaging the capture sites designed to provide at least one raw image of the capture sites. The device further includes an unblurring module designed to implement an unblurring filter using an estimate of a spatial impulse response of the imaging system, on an image to be unblurred that originates from at least one raw image of the capture sites; and a module for identifying an odor from at least one image of the capture sites unblurred by the unblurring module.

Disclosed is a method for classifying monitoring results from an analytical sensor system (20) arranged to monitor molecular interactions at a sensing surface, wherein detection curves representing progress of the molecular interactions with time are produced. The method comprises steps of: acquiring (100) a set of detection curves, fitting (101) a first mathemati- cal model to the set of detection curves; calculating (102) a set of features from the set of detection curves and fitted mathematical model; based on the calculated set of features, classifying (103) each detection curve into qual- ity classification group; and based on the classification determining which detection curves to use in kinetic analysis of the monitored molecular inter- actions.