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NTIS 바로가기한국식품과학회지 = Korean journal of food science and technology, v.37 no.6 = no.184, 2005년, pp.1048 - 1064
Detection of specific compounds influencing food flavor quality is not easy. Electronic nose, comprised of electronic chemical sensors with partial specificity and appropriate pattern recognition system, is capable of recognizing simple and complex volatiles. It provides fast analysis with simple an...
Hodgkin D, Simmonds D. Sensory technology for flavor analysis. Cereal Foods World 40: 186-191 (1995)
Chou UD. Use and development of sensation sensor. Bulletin Food Technol. 8: 122-131 (1995)
Persaud K, Dodd GO. Analysis of discrimination mechanisms of the mammalian olfactory system using a model nose. Nature 299: 352-355 (1982)
Anonymous. An Introduction to Electronic Nose Technology. Neotronics Scientific Inc. Essex. UK (1996)
DiNatale C, Macagnano A, Paolesse R, D'Amico A. Artificial olfaction systems: Principles and application to food analysis. Biotechnol. Agrone Soc. Environ. 5: 159-165 (2001)
Lee DD. Technology and application of olfactory sensor system. Control and Instrumentation No.2: 20-23 (2003)
Kil JH. Electronic nose and artificial olfactory sensor. Control and Instrumentation No.2: 12-17 (2004)
Hong HK, Shin HW, Park HS, Yun DH, Kwon CH, Lee KC, Kim ST, Morizumi T. Gas identification using micro-gas sensor array and neutral-network pattern recognition. Sensors Actuators. B33: 68-71 (1996)
Aishima T. Discrimination by pattern recognition analysis responses from semiconductor gas sensor array. J. Agric. Food Chem. 39: 752-756 (1991)
Hong HK, Park HS, Yun DH, Shin HW, Kwon CH, Lee KC. Technical trend of electronic nose system. J. Korean Insti. Electric. Electron. Material Eng. 8: 509-516 (1995)
Bartlett PN, Elliott JM, Gardner JW. Electronic nose and their application in the food industry. Food Technol. 51: 44-48 (1997)
Harper WJ. The strengths and weaknesses of the electronic nose. Adv. Experi. Medical Biol. 488: 59-71 (2001)
Deisingh AK, Stone DC, Thompson M. Applications of electronic noses and tongues in food analysis. Int. J. Food Sci. Technol. 39: 587-604 (2004)
Padro M, Faglia G, Sberveglieri G. Electronic nose for coffee quality control. 18th IEEE Instrument and Measurement Technology Conference, Budapest, Hungary May 21-23 pp, 123-127 (2001)
Lee DS, Noh BS, Bae SY, Kim K. Characterization of fatty acids composition in vegetable oils by gas chromatography and chemometrics. Anal. Chim. Acta. 358: 163-175 (1998)
Gardner JW, Hines EL. Pattern analysis techniques. pp. 633-652. In: Handbook of Biosensors and Electronic Noses: Medicine, Food, and the Environment. Kress-Rogers. E. (ed). CRC Press Inc., Frankfurt, Germany (1997)
Tetsuo A. Aroma discrimination by recognition analysis of responses from semiconductor gas sensor array. J. Agric. Food Chem. 39: 752-756 (1991)
Mielle P. Electronic nose: Towards the objective instrumental characterization of food aroma. Trends Food Sci. Technol. 7: 432-438 (1996)
Dickinson TA, White J, Kauer JS, Walt DR. Current trends in artificial-nose technology. Trends Biotech. 16: 250-258 (1998)
Braggins T, Frost DA, Agnew MP, Farouk M. Evaluation of an electronic nose for use in the meat industry. pp. 51-82 In: Electronic Noses and Sensor Array Based Systems. Hurst WJ. (ed). Technomic Publishing Co. Inc., Lancaster, PA, USA (1999)
Stetter JR, Jurs PC, Rose SL. Detection of hazardous gases and vapors: pattern recognition analysis of data from an electronical sensor array. Anal. Chem. 58: 860-866 (1986)
Ko SH, Park EY, Han KY, Noh BS, Kim SS. Development of neural network analysis program to predict shelf-life of soymilk by using electronic nose. Food Eng. Prog. 4: 193-198 (2000)
Staples EJ. Real time characterization of food and beverages using an electronic nose with 500 orthogonal sensors and Vapor- $Print^{TM}$ imaging. Available from: http://www.znose.com/tech_papers/papers/GeneralAnalysis/SenExpo2000C.pdf. Accessed Aug. 12, 2005
Noh BS, Oh SY. Application of electronic nose based on GC with SAW sensor. Food Sci. Ind. 35: 50-57 (2002)
Staples EJ. Dioxin/Furan detection and analysis using a SAW based electronic nose. Proceedings of the 1998 IEEE International Ultrasonic symposium. Oct. Sendai, Japan (1998)
Gardner JW, Bartlett PN. Electronic Noses: Principle and Applications. Oxford University, Oxford, UK (1999)
DiNatale C, Martinelli E, D'Amico A. Counteraction of environmental disturbances of electronic nose data by independent component analysis. Sensors Actuators, B 82: 158-165 (2002)
Collier WA, Baird DB, Park-Ng ZA, More N, Hart AL. Discrimination among milks and cultured dairy products using screen-printed electrochemical arrays and an electronic nose. Sensors Actuators B 92: 232-239 (2003)
Holmberg M, Davide FAM, DiNatale C, D'Amico A, Winquist F, Lundstrom I. Drift counteraction in odor recognition applications: lifelong calibration method. Sensors Actuators B 42: 185-194 (1997)
Labreche S, Bazzo S, Cade S, Chanie E. Shelf life determination by electronic nose:application to milk. Sensors Actuators 106: 199-206 (2005)
Saevels S, Lammertyn J, Berna AZ, Veraverbeke EA, DiNatale C, Nicolai BM. An electronic nose and a mass spectrometry-based electronic nose for assessing apple quality during shelf life. Postharvest Biol. Technol. 31: 9-19 (2004)
Ampuero S, Dufey P-A, Bee G. Potential of an electronic nose based on mass spectrometry to sort out boar tainted carcasses. Available from: http://www.alp.admin.ch/de/publikationen/docs/pub_AmpueroS_2005_15833.pdf. Accessed Aug. 12, 2005
DiNatale C, Paolesse R, Macagnano A, Mantini A, D'Amico A, Legin A, Lvova L, Rudnitskaya A, Vlasov Y. Electronic nose and electronic tongue integration for improved classification of clinical and food samples. Sensors Actuators B: Chem. 64: 15-21 (2000)
Legin A, Rudnitskaya A, Viasov Y. Electronic tongues: sensors, systems, applications. Sensors Update. 10: 143-188 (2002)
Legin A, Rudniskaya A, Seleznev B, Vlasov Y. Recognition of liquid and flesh food using an electronic tongue. Int. J. Food Sci. Technol. 37: 375-385 (2002)
Schaller E, Bosset JO, Escher F. Electronic noses and their application to food. Lebensm. Wiss. Technol. 31: 305-316 (1998)
Han KY, Cho YS, Kim JH, Oh SS, Noh BS. Quality control of food materials by using the electronic nose. pp. 53-63. In: Italy-Korea Joint Symposium in Agrofood Biotechnology. Dec. 13th, Seoul National University, Suwon, Korea (2001)
Ampuero A, Bosset JO. The electronic nose applied dairy products: a review. Sensors Actuators. B: 94: 1-12 (2003)
Park JS. Characteristics of quality and flavor components of Korean style soybean paste. PhD thesis, Chosun University. Kwangju, Korea (1992)
Vazquez MJ, Lrenzo RA, Cela R. The use of an electronic nose device to monitor the ripening process of anchovies. Int. J. Food Sci. Technol. 38: 273-284 (2003)
Cimander C, Bachinger T, Mandenius C-F. Assessment of the performance of a fed-batch cultivation from the preculture quality using an electronic nose. Biotechnol. Prog. 18: 380-386 (2002)
Bachinger T, Martensson P, Mandenius C-F. On-line estimation of biomass and specific growth rate in a recombinant E. coli batch cultivation using a chemical multi sensor array. J. Biotechnol. 60: 55-66 (1998)
Gardner JW, Craven M, Dow C, Hines E, Prediction of bacteria type and culture growth phase by an electronic nose with a multiplane perception networks. Measure. Sci. Technol. 9: 120-127 (1998)
Pinheiro C, Rodrigues CM, Schafer T, Crespo JG. Monitoring the aroma production during wine-must fermentation with an electronic nose. Biotechnol. Bioeng. 77: 632-640 (2002)
Eklov T, Johansson G, Winquist F, Lundstrom I. Monitoring sausage fermentation using an electronic nose. J. Sci. Food Agric. 76: 525-532 (1998)
Bachinger T, Liden H, Martensson P, Mandenius C-F. On-line estimation of state variables in baker's yeast fermentation using an electronic nose. Seminars Food Anal. 3: 85-91 (1998)
Liden H, Bachinger T, Gorton L, Mandenius C-F. On-line determination of non-volatile or low-concentration metabolites in a yeast cultivation using an electronic nose. Analyst 125: 1123-1128 (2000)
Dutta R, Hines EL, Gardner JW, Kashwan KR, Bhuyan M. Tea quality prediction using a tin oxide based electronic nose: an artificial intelligence approach. Sensors Actuators B: Chem. 94: 228-237 (2003)
Yang JS. Identification of irradiated foods in general foods. Food Sci. Ind. 30: 121-130 (1997)
Kim JH, Noh, BS. Detection of irradiation treatment for red peppers by an electronic nose using conduction polymer sensors. Food Sci. Biotechnol. 8: 207-203 (1999)
Han KY, Kim JH, Noh BS. Identification of the volatile compounds of irradiated meat by using electronic nose. Food Sci. Biotechnol. 10: 668-672 (2001)
Noh BS, Ko JW. Discrimination of the habitat for agricultural products by using electronic nose. Food Eng. Prog. 1: 103-106 (1997)
Noh BS, Ko JW, Kim SY. Use of conducting polymer sensor and metal oxide sensor of electronic nose on discrimination of the habitat for Ginseng. J. Nat. Sci. Institute of Seoul Women's University 9: 81-84 (1997)
Noh BS, Oh SY. Discrimination of the origins through pattern analysis of volatile components for domestic and imported Paeomia Albiflora using the electronic nose. J. Nat. Sci. Institute of Seoul Women's University 15: 143-149 (2003)
Kim NS. Development of techniques for origin discrimination and safety evaluation of the agricultural products and/or Foods in the market. Final report of Ministry of Agriculture and Forestry. GA 0403-0253 (2003)
Cho YS, Han KY, Kim JH, Noh BS. Application of electronic nose to discrimination of the habitat for jujubes. J. Natural Sci. SWINS. 13: 47-52 (2001)
Noh BS. Flavor analysis using electronic nose and its application in food industry. In:Abstracts: Annual Meeting of Korean Food Science and Technology, June 15-17, COEX Convention center, Seoul, Korea (2005)
Sim CO, Ahmad MN, Ismali Z, Othman AR, Noor NAM, Zaihidee EM. Chemometric classification of herb-Orthosiphon stamineus according to its geographical origin using virtual chemical sensor based upon fast GC. Sensors 3: 458-471 (2003)
Taurino A, Monaco DD, Capone S, Epifani M, Rella R, Siciliano P, Ferrara L, Maglione G, Basso A, Balzarano D. Analysis of dry salami by means of an electronic nose and correlation with microbiological methods. Sensors Actuators. B: 95: 123-131 (2003)
Benedetti S, Mannino S, Sabatini AG, Marcazzan GL. Electronic nose and neural network use for the classification of honey. Apidologie 35: 1-6 (2004)
Lammertyn J, Veraverbeke EA, Irudayaraj J. $Z-Nose^{TM}$ technology for the classification of honey based on rapid aroma profiling. Sensors Actuators B: Chem. 98: 54-62 (2004)
Baby R, Cabezas M, Castro E, Filip R, Walsoe de Reca NE. Quality control of medicinal plant with an electronic nose. Sensors Actuators B: Chem. 106: 24-28 (2005)
Noh BS, Kim SJ. Discrimination of habitat for Platycodon using electronic nose and X-ray fluorescence spectrometer. Daesan Nonchong 9: 145-150 (2001)
Chun HN, Kim ZU. Evaluation of soybean oil rancidity by pentanal and hexanal determination. Korean J. Soc. Appl. Biol. Chem. 34: 149-153 (1991)
Shen N, Duvick S, White P, Pollak L. Oxidative stability and AromaScan analyses of corn oils with altered fatty acid content. J. Am. Oil Chem. Soc. 76: 1425-1429 (1999)
Vinaixa M, Vergara A, Duran C, Llobet E, Badia C, Brezmes J, Vilanova X, Correig X. Fast detection of rancidity in potato crisps using e-nose based on mass spectrometry or gas sensors. Sensors Actuators B: Chem. 106: 67-75 (2005)
Chun HN, Kim ZU. Headspace gas chromatographic analysis as an objective method for measuring rancidity in soybean oil. Korean J. Soc. Appl. Biol. Chem. 34: 154-161 (1991)
Tan TT, Loubet F, Bazzo S. Application of the electronic nose for quality control of edible oils (Abstracts No. 443). In: Abstracts: The 1998 Pittsburgh Conference, New Orleans, USA (1998)
Innawong, B. and Mallikarjunan. P. The determination of frying oil quality using a chemosensory system (Abstract No. 51 B-3). In: Abstract: The 2000 IFT Annual Meeting, Dallas, Texas, USA (2000)
Muhl M, Demisch HU, Becker F. Kohl CD. Electronic nose for deterioration of frying fat-comparative studies for a new quick test. Eur. J. Lipid Sci. Technol. 102: 581-585 (2001)
Han KY, Chung JS, Choi EO, Oh SY, Noh BS. Analysis of volatile compounds for sesame oil containing soybean oil using electronic nose (Abstract No. 01-08). In: Abstract: Korean Food Science and Technology Annual Meeting. Jeju National University, Jeju, Korea (2001)
Stella R, Barisci JN, Serra G, Wallace GG, Rossi DD. Characterization of olive oil by an electronic nose based on conducting polymer sensors. Sensors Actuators B 63: 1-9 (2000)
Yang YM, Han KY, Noh BS. Analysis of lipid oxidation of soybean oil using the portable electronic nose. Food Sci. Biotechnol. 9: 146-150 (2000)
Lee MS, Chung MS. Analysis of flavor pattern by using electronic nose and sensory evaluation of Cnidium Offinale-flavored oils. Korean J. Soc. Food Cookery Sci. 18: 448-454 (2002)
Shen N, Moizuddin S, Wilson L, Duvick S, White P, Pollak L. Relationship of electronic nose analyses sensory evaluation of vegetable oils during storage. J. Am. Oil Chem. Soc. 78: 937-940 (2001)
Taurino A, Capone S, Distante C, Epifani M, Rella R, Siciliano P. Recognition of olive oils by means of an integrated sol-gel $SnO_2$ Electronic nose. Thin Solid Films 418: 59-65 (2002)
Capone S, Epifani M, Quaranta F, Siciliano P, Taurino A, Vasanelli L. Monitoring of rancidity of milk by means of an electronic nose and a dynamic PCA analysis. Sensors Actuators B 72: 1-6 (2001)
Han KY, Ha JS, Chang PS, Oh SS, Noh BS. Measurement of the microencapsulated DHA by the electronic nose. Food Sci. Biotechnol. 9: 358-363 (2000)
Ross EW. Mathematical modelling of quality loss. pp. 331-351 In Food Storage Stability. Ed. Taub IA, Singh RP. CRC Press Boca Raton, FL, USA (1998)
Pegg A. Shelf life. Nutr. Food Sci. 99: 131- 135 (1999)
Vallejo-Cordoba B, Arteaga GE, Nakai S. Predicting milk shelf-life based on artificial neural networks and headspace gas chromatographic data. J. Food Sci. 60: 885-888 (1995)
Yang YM, Noh BS, Hong HK. Prediction of freshness for milk by the electronic nose. Food Eng. Prog. 3: 45-50 (1999)
Riva M, Benedetti S, Mannino S, Shelf life of fresh cut vegetables as measured by an electronic nose: preliminary study. Ital. J. Food Sci. 13: 201-211 (2001)
DiNatale C, Mantini A, Macagnano A, Paolesse R, D'Amico A. The application of an electronic nose to the analysis of post-harvested fruits. In: Proceedings of the 14th European Conference on Solid-State Transducers, Copenhagen. pp. 61-62 (2000)
DiNatale C, Macagnano A, Martinelli E, Proietti E, Paolesse R, Castellari S, Campani S, D'Amico A. Electronic nose based investigation of the sensorial properties of peaches and nectarines. Sensors Actuators B Chem. 77: 561-566 (2001)
Adechy M, Shiers VP, Rossell JB. Study of rancidity and resistance to oxidation in edible oils and fats using electronic nose technology in comparison with conventional analytical techniques. Leatherhead Food RA Research Reports. No. 751 (1998)
Park EY, Kim JH, Noh BS. Application of the electronic nose and artificial neural network system to quality of the stored soymilk. Food Sci. Biotechnol. 11: 320-323 (2002)
Park EY, Noh BS, Ko SH. Prediction of shelf life for soybean curd by the electronic nose and artificial neural network system. Food Sci. Biotechnol. 11: 245-251 (2002)
Anonymous. An Investigation of Infection Bacteria With a GClSAW Electronic Nose. EST Internal Report. Available from: http://www.znose.com/tech_papers/papers/LifeScience/Bacteria.pdf Accessed Aug. 12, 2005
Keshri G, Magan N, Voysey P. Use of an electronic nose for the early detection and differentiation between spoilage fungi. Lett. Appl. Microbiol. 27: 261-264 (1998)
Younts SM, Alocilja EC, Osburn WN, Marquie S, Groom DL. Differentiation of E. coli 0157:H7 from non-)157:H7E. coli serotypes using a gas sensor-based, computer-controlled detection system. Trans. ASAE 44: 1681-1685 (2002)
Younts SM. Chapter 2: Development and evaluation of a gas sensor-based instrument for identification E. coli 0157:H7 in a laboratory setting. MS thesis. Michigan State University, East Lansing, Michigan, USA (1999)
Dutta R, Hines EL, Gardner JW, Boilot P. Bacteria classification using Cyranose 320 electronic nose. BioMedical Eng. Online 1:4 (2002). Available from: http://www.biomedical-engineering-online. com/content/1/1/4 Accessed Aug. 12, 2005
Canhoto O, Magan N. Potential for the detection of microorganism and heavy metals in portable water using electronic nose technology. Biosens. Bioelectron. 18: 751-754 (2003)
Canhoto O, Magan N. Electronic nose technology for the detection of microbial and chemical contamination of portable water. Sensors Actuators B Chem. 106: 3-6 (2005)
Du WE, Lin CM, Huang T, Kim J, Marshall M, Wei CI. Potential application of the electronic nose for quality assessment of salmon fillets under various storage conditions. J. Food Sci. 67: 307-313 (2002)
Blixt Y, Borch E. Using an electronic nose for determining the spoilage of vacuum-packaged beef. J. Food Microbiol. 46: 123-134(1999)
Magan N, Evans P. Volatile as an indicator of fungal activity and differentiation between species and the potential use of electronic nose technology for early detection of grain spoilage. J. Stored Products Res. 36: 319-340 (2000)
Olsson J, Borjesson T, Lundstadt T, Schnurer J. Volatile for mycological quality grading of barley grains: Determinations using gas chromatography-mass spectrometry and electronic nose. J. Food Microbiol. 59: 167-178 (2000)
Gibson TD, Prosser O, Hulbert JN, Marshall RW, Corcoan P, Lowery P, Ruck-Keene EA, Heraon S. Detection and simultaneous identification of microorganism from headspace samples using an electronic nose. Sensors Actuators B: 44: 413-422 (1997)
McEntegart CM, Penrose WR, Strathmann S, Stetter JR. Detection and discrimination of coliform bacteria with gas sensor arrays. Sensors Actuators B: 70: 170-176 (2000)
Borjesson T, Eklov T, Jonsson A, Sundgren H, Schnurer J. Electronic nose for odor classification of grains. Cereal Chem. 73: 457-461 (1996)
Jonsson A, Winquist F, Schnarer J. Sundgren H, Lundstroem I. Electronic nose for microbial quality classification of grains. Int. J. Food Microbiol. 35: 187-193 (1997)
Shin JA, Lee JH, Lee KT. Identification of volatile compounds in structured lipid of safflower oil using electronic nose and solid phase microextraction gas Chromatograph-Mass spectrometry. Agric. Chem. Biotechnol. 46: 152-155 (2003)
Vu PL, Shin JA, Lee KT. Comparison of volatile compounds of com oil and modified corn oil by electronic nose and solid phase microextraction gas Chromatograph-Mass spectrometry. Agric. Chem. Biotechnol. 47: 153-156 (2004)
Santos JP, Garcia M, Aleixandre M, Horrillo MC, Gutierrez J, Sayago I, Fernandez MJ, Ares L. Electronic nose for the identification of pig feeding and ripening time in Iberian hams. Meat Sci. 66: 727-732 (2004)
Grigioni GM, Margaria CA Pensel NA, Sanchez G, Vaudagna SR. Warmed-over flavor analysis in low temperature-long time processed meat by an electronic nose. Meat Sci. 56: 221-228 (2000)
Fredrich JE, Acree TE, Gas chromatography olfactometry (GC/O) of dairy products. Int. Dairy J. 8: 235-241 (1998)
Brudzewski K, Osowski S, Markiewicz T. Classification of milk by means of an electronic nose and SVM neural network. Sensors Actuators B: Chem. 98: 291-298 (2004)
Cho YS, Noh BS. Characterization of flavor from herbs using electronic nose based on metal oxide sensor or GC-SAW. J. Nat. Sci. Institute of Seoul Women's University. 13: 47-52 (2001)
Maul F, Sargent SA, Balaban MO, Baldwin EA, Huber DJ, Sims CA. Aroma volatile profiles from ripe tomatoes are influenced by physiological maturity at harvest: an application for electronic nose technology. J. Am. Soc. Horticult. Sci. 123: 1094-1101 (1999)
Sinesio F, DiNatale C, Quaglia GB, Bucarelli FM, Monteta E, Macagnono A, Paolesse R, D'Amico A. Use of electronic nose and trained sensory panel in the evaluation of tomato quality. J. Sci. Food Agric. 80: 63-71 (2000)
Maul F, Sargent SA, Huber DJ, Balaban MO, Sims CA, Baldwin EA. Harvest maturity and storage temperature affect volatile profiles of ripe tomato fruits: Electronic nose and gas chromatographic analysis. pp. 1-13. In: Electronic Noses and Sensor Array based Systems-Design and Applications. Hurst WJ (ed). Technomic Publishing Co. Inc. Lancaster, PA, USA (1999)
Osborn GS, Lacey RE, Singleton JA. A method to detect peanut off-flavors using an electronic nose. Trans. ASAE. 44: 929-938 (2001)
Osborn GS, Lacey RE, Singleton JA. Non-destructive detection of peanut off-flavors using an electronic nose. Trans. ASAE. 44: 939-944 (2001)
Pisanelli AM, Qutob AA, Travers T, Szyszko S, Persaud KC. Application of multi array polymer sensors to food industries. Life Chem. Reports 11: 303-308 (1994)
Chung HY. Evaluation of light-oxidized off-flavors in reduced fat milk and Cheddar cheese using sensory evaluation and the electronic nose. PhD thesis, Michigan State University, East Lansing, MI, USA (2004)
Joe KD. Integrated analysis and pattern recognition Swiss cheese aroma by SPME/GC/MS and electronic nose. Graduate School of Food science and Nutrition, PhD thesis, Ohio State University, Columbus, OH, USA (1997)
Drake MA, Gerard PD, Kleinhenz JP, Harper WJ. Application of an electronic nose to correlate with descriptive sensory analysis of aged cheddar cheese. Lebensm. Wiss. Technol. 36: 13-20 (2003)
Schaller E, Zenhausern S, Zesiger T, Bosset JO, Escher F. Use of preconcentration techniques applied to a MS-based 'Electronic nose'. Analusis 28: 743-749 (2000)
Benady M, Simon JE, Miles GE. Fruit ripeness determination by electronic sensing of aromatic volatiles. Trans. ASAE 38: 251-257 (1995)
Brezmes J, Llobert E, Vilanova X, Saiz G, Correig X. Fruit ripeness monitoring using an electronic mose, Sensors Actuators. B: Chem. 69: 223-229 (2000)
Llobet E, Hines EL, Gardner JW, Franco S. Non-destructive banana ripeness determination using a neural network-based electronic nose. Measure. Sci. Technol. 10: 538-548 (1999)
Simon JE, Hetzroni A, Bordelon B, Miles GE, Charles DJ. Electronic sensing of aromatic volatiles for quality sorting of blueberries. J. Food Sci. 61: 967-970 (1996)
Young H, Rossiter K, Wang M, Miller M. Characterization of Royal Gala apple aroma using electronic nose technology-potential maturity indicator. J. Agric. Food Chem. 47: 5173-5177 (1999)
DiNatale C, Macagnano A, Martinelli E, Paolesse R, Proietti E, D'Amico A. The evaluation of quality of post-harvest oranges and apples by means of an electronic nose. Sensors Actuators B 78: 26-31 (2001)
Hines EL, Llobert E, Gadner JW. Neural network based electronic nose for apple ripeness determination. Electron. Lett. 35: 821 (1999)
Brezmes J, Llobert E, Vilanova X, Orts J, Saiz G, Correig X. Correlation between electronic mose signals and fruit quality indicators on shelf life measurements with pinklady apples. Sensors Actuators B 80: 41-50 (2001)
Farnworth ER, McKellar RC, Chabot D, Lapointe S, Chicoine M, Knight KP. Use of an electronic nose to study the contribution of volatiles to orange juice flavor. J. Food Qual. 25: 569-576 (2002)
Bazemore R, Russel R, Sims C. Comparison of fresh squeezed orange juice analysis by electronic nose, sensory taste panel and GC FID. The 3rd Olfaction and Electronic Nose Symposium, Miami, Florida, USA (1996)
Boothe DDH, Arnold JW. Electronic nose analysis of volatile compounds from poultry meat samples, fresh and after refrigerated storage. J. Sci. Food Agric. 82: 315-322 (2002)
Winquist F, Hornsten EG, Sundgren H, Lundstron I. Performance of an electronic nose for quality estimation of ground meal. Meat Sci. Technol. 4: 1493-1500 (1993)
Bourrounet B, Talou T, Gaset A. Application of multi gas-sensor device in the meat industry for boar-taint detection. Sensor Actuators B 26: 250-254 (1995)
Berdague JL, Talou T. Example of semiconductor gas sensor applied to meat products. Sci. Aliments 13: 141-148 (1993)
Braggins T, Frost DA, Agnew MP, Farouk M. Evaluation of an electronic nose for use in the meat industry. pp. 51-82. In: Electronic Noses and Sensor Array Based Systems-Design and Applications. Hurst WJ. (ed). Technomic Publishing Co. Inc., Lancaster, PA, USA (1999)
Compagnoli A, Dinotti L, Tongnon G, Cheli F, Baldi A, Dell'Orto V. Potential application of electronic nose in processed animal proteins detection in feed-stuffs. Biotechnol. Agron. Soc. Environ. 8: 253-255 (2004)
Annor-Frempong IE, Nute GR, Wood JD, Whittington FW, West A. The measurement of responses to different odor intensities of 'boar taint' using a sensory panel and an electronic nose. Meat Sci. 50: 139-151(1998)
O'Connell M, Valdora G, Peltzer G, Negri RM. A practical approach for fish freshness determinations using a portable electronic nose. Sensors Actuators B 80: 149-154 (2001)
DiNatale C, Bruinink JAJ, Bungaro F, David F, D'Amico A, Paolesse R, Boschi M, Faccio G, Ferri G. Recognition of fish storage time by a metalloporphyrins-coated QMB sensor array. Measure. Sci. Technol. 7: 1103-1114 (1996)
Metin S, Korel F, Balaban MO. Quality evaluation of fresh mullet fillets stored under modified atmosphere at different temperature. Abstract 51A-18. Dallas, USA (2000)
Korel F, I.uzuriaga DA, Balaban MO. Objective quality assessment of raw tilapia (Oreochromis niloticus) fillets using electronic nose and machine vision. J. Food Sci. 66: 1018-1024 (2001)
Miettinen S-M, Piironen V, Tuorila H, Hyvonew L. Electronic and human nose in the detection of aroma differences between strawberry ice cream of varying fat content. J. Food Sci. 67: 425-430 (2002)
Mifsud JC, Carayon G, Schmitt V, Foster G. Food packaging quality control with the electronic nose: Volatile organic compound's migration monitoring. 54D 2005 IFT Annual Meeting July 15-20 New Orleans, LO, USA (2005)
Strathmann S, Pastorelli S, Simoneau C. Investigation of the interaction of active packaging material with food aroma compounds. Sensors Actuators B: Chem. 106: 83-87 (2005)
Fend R, Geddes R, Lesellier S, Vordermeier H-M, Corner LAL, Gormley E, Costello E, Hewinson RG, Marlin DJ, Woodman AC, Chambers MA. Use of electronic nose to diagonose Mycobacterium bovis infection in badgers and cattle. J. Clin. Microboil. 43: 1745-1751 (2005)
Magan N, Pavlou A, Chrysanthakis I. Milk-sense: a volatile sensing system recognizes spoilage bacteria and yeasts in milk. Sensors Actuators B 72: 28-34 (2001)
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