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

Panigrahi et al., 2006 - Google Patents

Neural-network-integrated electronic nose system for identification of spoiled beef

Panigrahi et al., 2006

Document ID
13466657846832946862
Author
Panigrahi S
Balasubramanian S
Gu H
Logue C
Marchello M
Publication year
Publication venue
LWT-Food Science and Technology

External Links

Snippet

A commercially available Cyranose-320™ conducting polymer-based electronic nose system was used to analyse the headspace from fresh beef strip loins (M. Longissimus lumborum) stored at 4° and 10° C. The raw signals obtained from the electronic nose system …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/0004Gaseous mixtures, e.g. polluted air
    • G01N33/0009General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G01N33/0031General constructional details of gas analysers, e.g. portable test equipment concerning the detector comprising two or more sensors, e.g. a sensor array
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6228Selecting the most significant subset of features
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53Immunoassay; Biospecific binding assay
    • G01N33/5308Immunoassay; Biospecific binding assay for analytes not provided for elsewhere, e.g. nucleic acids, uric acid, worms, mites
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06K9/6262Validation, performance evaluation or active pattern learning techniques
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/02Investigating or analysing materials by specific methods not covered by the preceding groups food
    • G01N33/14Investigating or analysing materials by specific methods not covered by the preceding groups food beverages
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run

Similar Documents

Publication Publication Date Title
Panigrahi et al. Neural-network-integrated electronic nose system for identification of spoiled beef
Balasubramanian et al. Neural networks-integrated metal oxide-based artificial olfactory system for meat spoilage identification
Jia et al. Electronic noses as a powerful tool for assessing meat quality: A mini review
Sanaeifar et al. Early detection of contamination and defect in foodstuffs by electronic nose: A review
Gu et al. Early discrimination and growth tracking of Aspergillus spp. contamination in rice kernels using electronic nose
Bonah et al. Application of electronic nose as a non-invasive technique for odor fingerprinting and detection of bacterial foodborne pathogens: A review
Hong et al. Discrimination and prediction of multiple beef freshness indexes based on electronic nose
Panigrahi et al. Design and development of a metal oxide based electronic nose for spoilage classification of beef
Ropodi et al. Data mining derived from food analyses using non-invasive/non-destructive analytical techniques; determination of food authenticity, quality & safety in tandem with computer science disciplines
Ghasemi-Varnamkhasti et al. Meat quality assessment by electronic nose (machine olfaction technology)
Balasubramanian et al. Independent component analysis-processed electronic nose data for predicting Salmonella typhimurium populations in contaminated beef
Papadopoulou et al. Sensory and microbiological quality assessment of beef fillets using a portable electronic nose in tandem with support vector machine analysis
Evans et al. Evaluation of a radial basis function neural network for the determination of wheat quality from electronic nose data
Chen et al. Discrimination of green tea quality using the electronic nose technique and the human panel test, comparison of linear and nonlinear classification tools
Panagou et al. Table olives volatile fingerprints: Potential of an electronic nose for quality discrimination
Alam et al. Modern Applications of Electronic Nose: A Review.
Balasubramanian et al. Evaluation of an artificial olfactory system for grain quality discrimination
Sabilla et al. Deep learning in a sensor array system based on the distribution of volatile compounds from meat cuts using GC–MS analysis
Balasubramanian et al. Spoilage identification of beef using an electronic nose system
Konduru et al. Detecting sour skin infected onions using a customized gas sensor array
Oates et al. Using a low-cost components e-nose for basic detection of different foodstuffs
Zhang et al. Spoiling and formaldehyde-containing detections in octopus with an E-nose
Pulluri et al. Development of an integrated soft E-nose for food quality assessment
Balasubramanian et al. Identification of salmonella‐inoculated beef using a portable electronic nose system
Machungo et al. Comparison of the performance of metal oxide and conducting polymer electronic noses for detection of aflatoxin using artificially contaminated maize