Abstract:
A monitoring network system for inspecting and controlling harmful substances includes probe assemblies that each includes a sensor comprising nano structured surfaces or nano particles in a solution, configured to adsorb molecules of a sample material captured adjacent to the sensor, a laser that can emit a laser beam to illuminate the molecules adsorbed to the nano structured surfaces, a spectrometer that can produce spectral data from light scattered by the molecules adsorbed to the nano structured surfaces, and a ID reader that can retrieve identification information about the sample material. A central office can determine a spectral signature matching spectral signatures stored in a database and to identify a harmful substance in the sample material. An alert and response system can send out an alert signal about the sample material when the harmful substance is identified in the sample material.
Abstract:
A sensor-network system for spectrally sensing a chemical or biological substance includes a plurality of probe assemblies that each includes a sensor comprising a nano structured surface, wherein the nano structured surface can adsorb molecules of a sample material captured adjacent to the sensor; a laser configured to emit a laser beam to illuminate the molecules adsorbed to the nano structured surface, and a spectrometer that can obtain spectral data from light scattered by the molecules adsorbed to the nano structured surface. A control center includes a computer storage configured to store spectral signatures each associated with a chemical or biological substance and a spectral analyzer that can determine a spectral signature matching at least one of the spectral signatures stored in the computer storage thereby to identify, in the sample material, the chemical or biological substance associated with the one of the spectral signatures.
Abstract:
A monitoring network system for inspecting and controlling harmful substances includes probe assemblies that each includes a sensor comprising nano structured surfaces or nano particles in a solution, configured to adsorb molecules of a sample material captured adjacent to the sensor, a laser that can emit a laser beam to illuminate the molecules adsorbed to the nano structured surfaces, a spectrometer that can produce spectral data from light scattered by the molecules adsorbed to the nano structured surfaces, and a ID reader that can retrieve identification information about the sample material. A central office can determine a spectral signature matching spectral signatures stored in a database and to identify a harmful substance in the sample material. An alert and response system can send out an alert signal about the sample material when the harmful substance is identified in the sample material.
Abstract:
A sensor-network system for spectrally sensing a chemical or biological substance includes a plurality of probe assemblies that each includes a sensor comprising a nano structured surface, wherein the nano structured surface can adsorb molecules of a sample material captured adjacent to the sensor; a laser configured to emit a laser beam to illuminate the molecules adsorbed to the nano structured surface, and a spectrometer that can obtain spectral data from light scattered by the molecules adsorbed to the nano structured surface. A control center includes a computer storage configured to store spectral signatures each associated with a chemical or biological substance and a spectral analyzer that can determine a spectral signature matching at least one of the spectral signatures stored in the computer storage thereby to identify, in the sample material, the chemical or biological substance associated with the one of the spectral signatures.
Abstract:
A method for inspecting an edible oil includes obtaining a first Raman spectrum from an edible oil sample, discovering an unhealthy, unsanitary, unsafe, or adulterated content in the edible oil sample in part by the intensity level of the fluorescence background in the first Raman spectrum, introducing the edible oil sample to nano-scale surface structures to allow molecules of the edible oil sample to be adsorbed to the nano-scale surface structures, illuminating the edible oil sample and the nano-scale surface structures by a laser beam, obtaining a second Raman spectrum from light scattered by molecules of the edible oil sample adsorbed to the nano-scale surface structures, and identifying the unhealthy, unsanitary, or unsafe content in the edible oil sample using one or more first spectral signatures in the second Raman spectrum.
Abstract:
A method for detecting an ingredient in a food product or detecting a disease includes allowing a food sample solution obtained from a food product or a body fluid from an individual to come to contact with a nano-scale surface structure in a sensor, wherein the nano-scale surface structure comprises a plurality of columns over a substrate or a plurality of holes in a substrate. The method includes illuminating the food sample solution or the body fluid on the nano-scale surface structure on the sensor by a laser beam; obtaining a Raman spectrum from the scattered light using a spectral analyzer; and identifying the spectral signature in the Raman spectrum to determine the existence of the chemical substance in the food product or identifying a disease in the individual.
Abstract:
A method for detecting an ingredient in a food product includes establishing a spectral signature in a Raman spectrum obtained from a chemical substance; allowing a food sample solution obtained from a food product to come to contact with a first nano-scale surface structure in a first sensor, wherein the first sensor comprises a substrate, wherein the nano-scale surface structure comprises a plurality of columns over the substrate or a plurality of holes in the substrate; illuminating the food sample solution and the first nano-scale surface structure on the first sensor by a laser beam; scattering the laser beam by the food sample solution and the first nano-scale surface structure to produce a scattered light; obtaining a first Raman spectrum from the scattered light using a spectral analyzer; and identifying the spectral signature in the first Raman spectrum to determine the existence of the chemical substance in the food product.
Abstract:
A method for inspecting an edible oil includes obtaining a first Raman spectrum from an edible oil sample, discovering an unhealthy, unsanitary, unsafe, or adulterated content in the edible oil sample in part by the intensity level of the fluorescence background in the first Raman spectrum, introducing the edible oil sample to nano-scale surface structures to allow molecules of the edible oil sample to be adsorbed to the nano-scale surface structures, illuminating the edible oil sample and the nano-scale surface structures by a laser beam, obtaining a second Raman spectrum from light scattered by molecules of the edible oil sample adsorbed to the nano-scale surface structures, and identifying the unhealthy, unsanitary, or unsafe content in the edible oil sample using one or more first spectral signatures in the second Raman spectrum.
Abstract:
A method for detecting an ingredient in a food product or detecting a disease includes allowing a food sample solution obtained from a food product or a body fluid from an individual to come to contact with a nano-scale surface structure in a sensor, wherein the nano-scale surface structure comprises a plurality of columns over a substrate or a plurality of holes in a substrate. The method includes illuminating the food sample solution or the body fluid on the nano-scale surface structure on the sensor by a laser beam; obtaining a Raman spectrum from the scattered light using a spectral analyzer; and identifying the spectral signature in the Raman spectrum to determine the existence of the chemical substance in the food product or identifying a disease in the individual.
Abstract:
A method for detecting an ingredient in a food product includes establishing a spectral signature in a Raman spectrum obtained from a chemical substance; allowing a food sample solution obtained from a food product to come to contact with a first nano-scale surface structure in a first sensor, wherein the first sensor comprises a substrate, wherein the nano-scale surface structure comprises a plurality of columns over the substrate or a plurality of holes in the substrate; illuminating the food sample solution and the first nano-scale surface structure on the first sensor by a laser beam; scattering the laser beam by the food sample solution and the first nano-scale surface structure to produce a scattered light; obtaining a first Raman spectrum from the scattered light using a spectral analyzer; and identifying the spectral signature in the first Raman spectrum to determine the existence of the chemical substance in the food product.