Bonah et al., 2019 - Google Patents
Application of hyperspectral imaging as a nondestructive technique for foodborne pathogen detection and characterizationBonah et al., 2019
View HTML- Document ID
- 13185377906615460921
- Author
- Bonah E
- Huang X
- Aheto J
- Osae R
- Publication year
- Publication venue
- Foodborne pathogens and disease
External Links
Snippet
Microbial food safety is a persistent and exacting global issue due to the multiplicity and complexity of foods and food production systems. Foodborne illnesses caused by foodborne bacterial pathogens frequently occur, thus endangering the safety and health of human …
- 238000000701 chemical imaging 0 title abstract description 126
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/314—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry with comparison of measurements at specific and non-specific wavelengths
- G01N2021/3155—Measuring in two spectral ranges, e.g. UV and visible
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/65—Raman scattering
- G01N2021/653—Coherent methods [CARS]
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
- G01N21/84—Systems specially adapted for particular applications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED, VISIBLE OR ULTRA-VIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colour
- G01J3/28—Investigating the spectrum
- G01J3/30—Measuring the intensity of spectral line directly on the spectrum itself
- G01J3/36—Investigating two or more bands of a spectrum by separate detectors
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Bonah et al. | Application of hyperspectral imaging as a nondestructive technique for foodborne pathogen detection and characterization | |
Qin et al. | Line-scan hyperspectral imaging techniques for food safety and quality applications | |
Pu et al. | Principles of hyperspectral microscope imaging techniques and their applications in food quality and safety detection: A review | |
Siripatrawan et al. | Rapid detection of Escherichia coli contamination in packaged fresh spinach using hyperspectral imaging | |
Gowen et al. | Recent applications of hyperspectral imaging in microbiology | |
Gowen et al. | Hyperspectral imaging–an emerging process analytical tool for food quality and safety control | |
Baek et al. | Selection of optimal hyperspectral wavebands for detection of discolored, diseased rice seeds | |
Park et al. | Hyperspectral microscope imaging methods to classify gram-positive and gram-negative foodborne pathogenic bacteria | |
Yu et al. | Classification of pathogens by Raman spectroscopy combined with generative adversarial networks | |
Delwiche et al. | Classification of wheat by visible and near-infrared reflectance from single kernels | |
Lee et al. | Non‐destructive evaluation of bacteria‐infected watermelon seeds using visible/near‐infrared hyperspectral imaging | |
Cao et al. | Identification of species and geographical strains of Sitophilus oryzae and Sitophilus zeamais using the visible/near‐infrared hyperspectral imaging technique | |
CN1842696A (en) | Wide field method for detecting pathogenic microorganisms | |
Vrešak et al. | The use of image-spectroscopy technology as a diagnostic method for seed health testing and variety identification | |
Mo et al. | On-line fresh-cut lettuce quality measurement system using hyperspectral imaging | |
Yoon et al. | Hyperspectral imaging for differentiating colonies of non-0157 Shiga-toxin producing Escherichia coli (STEC) serogroups on spread plates of pure cultures | |
Dubois et al. | Bacterial identification by near-infrared chemical imaging of food-specific cards | |
Min et al. | Early decay detection in fruit by hyperspectral imaging–Principles and application potential | |
Yoon et al. | Differentiation of big-six non-O157 Shiga-toxin producing Escherichia coli (STEC) on spread plates of mixed cultures using hyperspectral imaging | |
CN109415753A (en) | Method and system for identifying gram type of bacteria | |
Reddy et al. | Near-infrared hyperspectral imaging pipelines for pasture seed quality evaluation: An overview | |
Windham et al. | The effect of regions of interest and spectral pre-processing on the detection of non-0157 Shiga-toxin producing Escherichia coli serogroups on agar media by hyperspectral imaging | |
Yoon et al. | Hyperspectral reflectance imaging for detecting a foodborne pathogen: Campylobacter | |
EADY et al. | Classification of Salmonella enterica serotypes with selective bands using visible/NIR hyperspectral microscope images | |
Morales-Sillero et al. | Quantification of protein in wheat using near infrared hyperspectral imaging: Performance comparison with conventional near infrared spectroscopy |