Electronic noses for food quality : a review
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Ganesh Kumar Mani | Silvia Coradeschi | Amy Loutfi | John Bosco Balaguru Rayappan | Prabakaran Shankar | S. Coradeschi | A. Loutfi | J. Rayappan | G. Mani | Prabakaran Shankar
[1] Ana M. Herrero,et al. Raman spectroscopy a promising technique for quality assessment of meat and fish : A review , 2008 .
[2] Naresh Magan,et al. Milk-sense: a volatile sensing system recognises spoilage bacteria and yeasts in milk , 2001 .
[3] W. T. O'Hare,et al. Detection of bacterial contaminated milk by means of a quartz crystal microbalance based electronic nose , 2003 .
[4] Dehan Luo,et al. Intelligent Processing of E-nose Information for Fish Freshness Assessment , 2007, 2007 3rd International Conference on Intelligent Sensors, Sensor Networks and Information.
[5] A. Sancho,et al. Seasonal variation in the odour characteristics of whole milk powder , 2007 .
[6] Bipan Tudu,et al. Illumination heating and physical raking for increasing sensitivity of electronic nose measurements with black tea , 2008 .
[7] N. Yamazoe,et al. Oxide Semiconductor Gas Sensors , 2003 .
[8] Nabarun Bhattacharyya,et al. Electronic Nose for Black Tea Classification and Correlation of Measurements With “Tea Taster” Marks , 2008, IEEE Transactions on Instrumentation and Measurement.
[9] José Pedro Santos,et al. Evaluation of wine aromatic compounds by a sensory human panel and an electronic nose. , 2009, Journal of agricultural and food chemistry.
[10] Naresh Magan,et al. Potential of an electronic nose for the early detection and differentiation between Streptomyces in potable water , 2006 .
[11] D. V. Byrne,et al. Sensory and electronic nose analysis of porcine meat loaf in relation to ingredient quality , 2002, Proceedings of IEEE Sensors.
[12] Frank Westad,et al. Rapid control of smoked Atlantic salmon (Salmo salar) quality by electronic nose: Correlation with classical evaluation methods , 2006 .
[13] Silvia Coradeschi,et al. Odor source identification by grounding linguistic descriptions in an artificial nose , 2001, SPIE Defense + Commercial Sensing.
[14] Ji-Young Jung,et al. Characteristics of the TiO2/SnO2 Thick Film Semiconductor Gas Sensor to Determine Fish Freshness , 2008 .
[15] Silvia Coradeschi,et al. Fast Classification of Meat Spoilage Markers Using Nanostructured ZnO Thin Films and Unsupervised Feature Learning , 2013, Sensors.
[16] Magni Martens,et al. SENSORY QUALITY CRITERIA FOR FIVE FISH SPECIES PREDICTED FROM NEAR-INFRARED (NIR) REFLECTANCE MEASUREMENT , 2001 .
[17] Ganesh Kumar Mani,et al. Effect of nickel doping on structural, optical, electrical and ethanol sensing properties of spray deposited nanostructured ZnO thin films , 2014 .
[18] Ganesh Kumar Mani,et al. Novel and facile synthesis of randomly interconnected ZnO nanoplatelets using spray pyrolysis and their room temperature sensing characteristics , 2014 .
[19] Dominique Chevalier-Lucia,et al. Off-flavours detection in alcoholic beverages by electronic nose coupled to GC , 2009 .
[20] Ganesh Kumar Mani,et al. A highly selective room temperature ammonia sensor using spray deposited zinc oxide thin film , 2013 .
[21] Masaki Kanamori,et al. Identification of coumarin-enriched Japanese green teas and their particular flavor using electronic nose , 2009 .
[22] Antonella Macagnano,et al. Multisensor for fish quality determination , 2004 .
[23] D. V. Byrne,et al. Application of an electronic nose for measurements of boar taint in entire male pigs. , 2006, Meat science.
[24] K. R. Kashwan,et al. Robust electronic-nose system with temperature and humidity drift compensation for tea and spice flavour discrimination , 2005, 2005 Asian Conference on Sensors and the International Conference on New Techniques in Pharmaceutical and Biomedical Research.
[25] Daniel Cozzolino,et al. Use of direct headspace-mass spectrometry coupled with chemometrics to predict aroma properties in Australian Riesling wine. , 2008, Analytica chimica acta.
[26] Giorgio Pennazza,et al. A model to predict fish quality from instrumental features , 2005 .
[27] José Pedro Santos,et al. Electronic nose for wine ageing detection , 2008 .
[28] Juan Rodríguez,et al. Electronic Nose for Quality Control of Colombian Coffee through the Detection of Defects in “Cup Tests” , 2009, Sensors.
[29] Daniel Cozzolino,et al. Geographical origin of Sauvignon Blanc wines predicted by mass spectrometry and metal oxide based electronic nose. , 2009, Analytica chimica acta.
[30] Elisabeth Olsen,et al. Analysis of the early stages of lipid oxidation in freeze-stored pork back fat and mechanically recovered poultry meat. , 2005, Journal of agricultural and food chemistry.
[31] Bipan Tudu,et al. Preemptive identification of optimum fermentation time for black tea using electronic nose , 2008 .
[32] Amy Loutfi,et al. Unsupervised feature learning for electronic nose data applied to Bacteria Identification in Blood. , 2011, NIPS 2011.
[33] Soumen Basu,et al. ZnO thin film sensors for detecting dimethyl- and trimethyl-amine vapors , 2004 .
[34] Bipan Tudu,et al. Electronic nose for black tea quality evaluation by an incremental RBF network , 2009 .
[35] Alphus D. Wilson,et al. Advances in Electronic-Nose Technologies Developed for Biomedical Applications , 2011, Sensors.
[36] R. Bandyopadhyay,et al. Detection of optimum fermentation time for black tea manufacturing using electronic nose , 2007 .
[37] Alphus D. Wilson,et al. Diverse Applications of Electronic-Nose Technologies in Agriculture and Forestry , 2013, Sensors.
[38] Lun Wang,et al. Application of gold nanoparticles/TiO2 modified electrode for the electrooxidative determination of catechol in tea samples. , 2012, Food chemistry.
[39] K. R. Kashwan,et al. Tea quality prediction using a tin oxide-based electronic nose: an artificial intelligence approach , 2003 .
[40] E. Llobet,et al. Electronic Nose Based on Metal Oxide Semiconductor Sensors as an Alternative Technique for the Spoilage Classification of Red Meat , 2008, Sensors.
[41] Pietro Siciliano,et al. Monitoring of rancidity of milk by means of an electronic nose and a dynamic PCA analysis , 2001 .
[42] C. Hedberg,et al. Food-related illness and death in the United States. , 1999, Emerging infectious diseases.
[43] O. Lind,et al. Detection of mastitic milk using a gas-sensor array system (electronic nose) , 2005 .
[44] José Pedro Santos,et al. Enrichment sampling methods for wine discrimination with gas sensors , 2008 .
[45] Santiago Marco,et al. Evaluation of fish spoilage by means of a single metal oxide sensor under temperature modulation , 2009 .
[46] Eduard Llobet,et al. Potential application of the electronic nose for shelf‐life determination of raw milk and red meat , 2009 .
[47] D. C. Gharpure,et al. Semiconductor Sensor Array Based Electronic Nose for Milk, Rancid Milk and Yoghurt Odors Identification , 2009 .
[48] Deena Benjamin,et al. Intelligent Fish Freshness Assessment , 2008, J. Sensors.
[49] M. Bonneau,et al. BOAR TAINT | Causes and Measurement , 2004 .
[50] J. Bosset,et al. The electronic nose applied to dairy products: a review , 2003 .
[51] Suranjan Panigrahi,et al. Design and development of a metal oxide based electronic nose for spoilage classification of beef , 2006 .
[52] R Leardi,et al. Application of multi-way analysis to UV-visible spectroscopy, gas chromatography and electronic nose data for wine ageing evaluation. , 2012, Analytica chimica acta.
[53] György Bázár,et al. Classification of meat with boar taint using an electronic nose , 2012 .
[54] José Pedro Santos,et al. Threshold detection of aromatic compounds in wine with an electronic nose and a human sensory panel. , 2010, Talanta: The International Journal of Pure and Applied Analytical Chemistry.
[55] Zulfiqur Ali,et al. Data analysis for electronic nose systems , 2006 .
[56] A. Šetkus,et al. Response time based output of metal oxide gas sensors applied to evaluation of meat freshness with neural signal analysis , 2000 .
[57] Ingemar Lundström,et al. Data preprocessing enhances the classification of different brands of Espresso coffee with an electronic nose , 2000 .
[58] Hongwei Sun,et al. Tin–copper mixed metal oxide nanowires: Synthesis and sensor response to chemical vapors , 2011 .
[59] Davide Ballabio,et al. Prediction of Italian red wine sensorial descriptors from electronic nose, electronic tongue and spectrophotometric measurements by means of Genetic Algorithm regression models , 2007 .
[60] Matteo Falasconi,et al. Electronic Nose for Microbiological Quality Control of Food Products , 2012 .
[61] John Bosco Balaguru Rayappan,et al. Nanostructured ceria thin film for ethanol and trimethylamine sensing , 2013 .
[62] John Bosco Balaguru Rayappan,et al. Structural, morphological, electrical and vapour sensing properties of Mn doped nanostructured ZnO thin films , 2012 .
[63] L. McCaig,et al. Food-related illness and death in the United States. , 1999, Emerging infectious diseases.
[64] Barun Das,et al. Towards Versatile Electronic Nose Pattern Classifier for Black Tea Quality Evaluation: An Incremental Fuzzy Approach , 2009, IEEE Transactions on Instrumentation and Measurement.
[65] Da-Wen Sun,et al. Application of the electronic nose to the identification of different milk flavorings , 2010 .
[66] M. Peris,et al. A 21st century technique for food control: electronic noses. , 2009, Analytica chimica acta.
[67] Sameer Singh,et al. Fuzzy neural computing of coffee and tainted-water data from an electronic nose , 1996 .
[68] Lei Zhao,et al. Optimization of electronic nose sensor array by genetic algorithms in Xihu-Longjing Tea quality analysis , 2013, Math. Comput. Model..
[69] Martin Sommer,et al. Assessment of meat freshness with metal oxide sensor microarray electronic nose: A practical approach , 2010 .
[70] M. Pardo,et al. Classification of electronic nose data with support vector machines , 2005 .
[71] J W Gardner and P N Bartlett,et al. Electronic Noses: Principles and Applications , 1999 .
[72] Jun Wang,et al. Identification of green tea grade using different feature of response signal from E-nose sensors , 2008 .
[73] J. Frost,et al. Current epidemiological issues in human campylobacteriosis , 2001, Symposium series.
[74] Jun Wang,et al. Identification of Tea Storage Times by Linear Discrimination Analysis and Back-Propagation Neural Network Techniques Based on the Eigenvalues of Principal Components Analysis of E-Nose Sensor Signals , 2009, Sensors.
[75] Daniel Cozzolino,et al. Feasibility study on the use of a head space mass spectrometry electronic nose (MS e_nose) to monitor red wine spoilage induced by Brettanomyces yeast , 2007 .
[76] K. Persaud,et al. Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose , 1982, Nature.
[77] R T Marsili,et al. SPME-MS-MVA as an electronic nose for the study of off-flavors in milk. , 1999, Journal of agricultural and food chemistry.
[78] Stanislaw Osowski,et al. Recognition of Coffee Using Differential Electronic Nose , 2012, IEEE Transactions on Instrumentation and Measurement.
[79] B. Tudu,et al. Incremental PNN classifier for a versatile electronic nose , 2008, 2008 3rd International Conference on Sensing Technology.
[80] R T Marsili,et al. Shelf-life prediction of processed milk by solid-phase microextraction, mass spectrometry, and multivariate analysis. , 2000, Journal of agricultural and food chemistry.
[81] E. Borch,et al. Using an electronic nose for determining the spoilage of vacuum-packaged beef. , 1999, International journal of food microbiology.
[82] J. D. Kottawa-Arachchi,et al. Analysis of Selected Biochemical Constituents in Black Tea ( Camellia sinensis ) for Predicting the Quality of Tea Germplasm in Sri Lanka , 2012 .
[83] John Bosco Balaguru Rayappan,et al. ETHANOL AND TRIMETHYL AMINE SENSING BY ZnO-BASED NANOSTRUCTURED THIN FILMS , 2011 .
[84] Mahdi Ghasemi-Varnamkhasti,et al. Meat Quality Assessment by Electronic Nose (Machine Olfaction Technology) , 2009, Sensors.
[85] Venkata Sai Prakash Chaturvedula,et al. The aroma, taste, color and bioactive constituents of tea , 2011 .
[86] Antoine Gaset,et al. Application of a multi-gas-sensor device in the meat industry for boar-taint detection , 1995 .
[87] Daniel Cozzolino,et al. Comparison of metal oxide-based electronic nose and mass spectrometry-based electronic nose for the prediction of red wine spoilage. , 2008, Journal of agricultural and food chemistry.
[88] Ganesh Kumar Mani,et al. Influence of copper doping on structural, optical and sensing properties of spray deposited zinc oxide thin films , 2014 .
[89] Zulfiqur Ali,et al. Chemical Sensors for Electronic Nose Systems , 2005 .
[90] Lei Yang,et al. Identification of Sensory Quality of Rapid Fermented Fish Using Electronic Nose , 2009, 2009 International Conference on Information Engineering and Computer Science.