[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Evans et al., 2000 - Google Patents

Evaluation of a radial basis function neural network for the determination of wheat quality from electronic nose data

Evans et al., 2000

View PDF
Document ID
7075833897674199847
Author
Evans P
Persaud K
McNeish A
Sneath R
Hobson N
Magan N
Publication year
Publication venue
Sensors and Actuators B: Chemical

External Links

Snippet

Odorous contaminants in wheat have been detected using a conducting polymer array. A radial basis function artificial neural network (RBFann) was used to correlate sensor array responses with human grading of off-taints in wheat. Wheat samples moulded by artificial …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • 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
    • G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
    • G01N33/5008—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics
    • 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
    • G01N33/0004—Gaseous mixtures, e.g. polluted air
    • G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G01N33/0031—General constructional details of gas analysers, e.g. portable test equipment concerning the detector comprising two or more sensors, e.g. a sensor array
    • 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
    • G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53—Immunoassay; Biospecific binding assay
    • G01N33/569—Immunoassay; Biospecific binding assay for micro-organisms, e.g. protozoa, bacteria, viruses
    • G01N33/56911—Bacteria
    • 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
    • G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/68—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving proteins, peptides or amino acids
    • 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
    • G01N33/02—Investigating or analysing materials by specific methods not covered by the preceding groups food
    • G01N33/14—Investigating or analysing materials by specific methods not covered by the preceding groups food beverages
    • 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
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N27/00—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means
    • G01N27/02—Investigating or analysing materials by the use of electric, electro-chemical, or magnetic means by investigating the impedance of the material

Similar Documents

Publication Publication Date Title
Evans et al. Evaluation of a radial basis function neural network for the determination of wheat quality from electronic nose data
Ali et al. Principles and recent advances in electronic nose for quality inspection of agricultural and food products
Sanaeifar et al. Early detection of contamination and defect in foodstuffs by electronic nose: A review
Gu et al. Rapid detection of Aspergillus spp. infection levels on milled rice by headspace-gas chromatography ion-mobility spectrometry (HS-GC-IMS) and E-nose
Jia et al. Electronic noses as a powerful tool for assessing meat quality: A mini review
Dutta et al. Tea quality prediction using a tin oxide-based electronic nose: an artificial intelligence approach
Huang et al. A novel technique for rapid evaluation of fish freshness using colorimetric sensor array
Panigrahi et al. Design and development of a metal oxide based electronic nose for spoilage classification of beef
Haugen et al. Electronic nose and artificial neural network
Goodner et al. The dangers of creating false classifications due to noise in electronic nose and similar multivariate analyses
Sliwinska et al. Food analysis using artificial senses
Panigrahi et al. Neural-network-integrated electronic nose system for identification of spoiled beef
Dutta et al. Electronic nose based tea quality standardization
Li et al. Neural network and Bayesian network fusion models to fuse electronic nose and surface acoustic wave sensor data for apple defect detection
McEntegart et al. Detection and discrimination of coliform bacteria with gas sensor arrays
US6450008B1 (en) Food applications of artificial olfactometry
Li et al. Non-destructive evaluation of pork freshness using a portable electronic nose (E-nose) based on a colorimetric sensor array
Zhang et al. ‘Sensory analysis’ of Chinese vinegars using an electronic nose
Alam et al. Modern Applications of Electronic Nose: A Review.
Panagou et al. Table olives volatile fingerprints: Potential of an electronic nose for quality discrimination
Machungo et al. Comparison of the performance of metal oxide and conducting polymer electronic noses for detection of aflatoxin using artificially contaminated maize
Ali et al. Electronic nose as a tool for early detection of diseases and quality monitoring in fresh postharvest produce: A comprehensive review
Chang et al. Prediction of human odour assessments based on hedonic tone method using instrument measurements and multi-sensor data fusion integrated neural networks
Gao et al. Quantitative analysis of multiple kinds of volatile organic compounds using hierarchical models with an electronic nose
Mahanti et al. Enhancing Food Authentication through E-Nose and E-Tongue Technologies: Current Trends and Future Directions