KEYWORDS: Hyperspectral imaging, Chemical species, Sodium, Short wave infrared radiation, Cameras, Inspection, Fabry–Perot interferometers, Corrosion, Chemical analysis, Data modeling
Leakage in pressurized water nuclear reactors (PWRs) poses potentially serious health and safety threats to workers, residents, and the public at large. Early detection and prompt reparative actions of such breaches are critical to both maintaining a secure reliable power supply and ensuring the public’s confidence in the safe operation of commercial nuclear power generation. Currently many components are inspected using visual examinations performed directly by examination personnel or by remote methods using cameras. When indications of leakage are determined to be relevant, additional methods such as chemistry and isotopic analysis are needed for characterization and source determination. This laboratory-based analysis is a burden on resources that may be able to be avoided by the deployment of enhanced imaging methods. Shortwave infrared (SWIR) hyperspectral imaging offers a potential means to characterize chemical species deposits, determine sources and avoid the need for burdensome substance sampling and laboratory analysis. This technique has shown excellent promise for identifying various chemical species in many industrial applications that may otherwise not be differentiable by conventional imaging or by eye. Recent developments in Fabry-Perot interferometerbased hyperspectral imaging have enabled near real-time image capture and classification, thus further expanding the utility of the technology and automating it for use in hazardous environments when paired with robotic platforms such as magnetic crawlers.
Aflatoxins are a family of carcinogenic toxins produced by Aspergillus flavus and Aspergillus parasiticus fungi and occur on agricultural crops such as maize or corn, peanuts, cottonseed, and tree nuts. Even at low concentrations (< 20 ppb), it affects the liver, kidneys, heart, respiratory, nervous, endocrine systems and growth in infants and children. The economic impact of aflatoxin-associated is estimated to be on the order $47M of losses per year in food crops and $225 million per year in feed crops. Current methods for detection include chromatographic methods, spectroscopy and immunochemistry. Although very sensitive, these are largely cumbersome, require extensive sample preparation, skilled operators and in the case of chromatography, very expensive equipment. Hyperspectral imaging offers a sensitive, convenient, compact, reliable, relatively economical and simple to operate solution requiring little or no sample preparation that can be used in the laboratory or the field.
The presence of pathogenic microorganisms such as salmonella, listeria and E. coli in foods is a major threat to consumer safety. The failure to detect these pathogens can result in severe outbreaks of foodborne illness. There are several technologies utilized in food pathogen detection today including plating, nucleic acid-based polymerase chain reaction techniques and immunoassays. While these technologies have their merits, each approach requires significant sample incubation and total time to answer of 18 – 72hrs. HinaLea is working in collaboration with the USDA to develop a system which will significantly accelerate the identification of foodborne pathogens. The system combines darkfield microscopy, hyperspectral imaging, machine learning and automation in a standalone unit. Our vision is to move towards real-time identification of pathogens in the food production environment.
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