Abstract
Main factors that are considered by consumers when choosing meat products are colour and aroma, of which the latter is a more reliable indicator of quality. However, a simple sensory evaluation of hedonistic qualities is often not sufficient to determine whether protein is past its shelf life, and consumption of spoiled meat can lead to serious health hazards. Some volatile compounds can be used as spoilage indicators, and so a device equipped with a sensor sensitive to particular odorants would prove useful. Unfortunately, no such single compound has yet been identified, as the changes taking place in a sample of meat during storage are contingent on numerous factors. On the other hand, a combination of volatile compounds may form a unique ‘fingerprint’ which can be analysed pattern recognition algorithms with an electronic nose. It can supplement established techniques of meat quality assessment by providing results that correlate well with hedonic perception in a short time and at a low cost.
Citations
-
1 4 3
CrossRef
-
0
Web of Science
-
1 4 7
Scopus
Authors (5)
Cite as
Full text
- Publication version
- Accepted or Published Version
- License
- open in new tab
Keywords
Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
MEAT SCIENCE
no. 131,
pages 119 - 131,
ISSN: 0309-1740 - Language:
- English
- Publication year:
- 2017
- Bibliographic description:
- Wojnowski W., Majchrzak T., Dymerski T., Gębicki J., Namieśnik J.: Electronic noses: Powerful tools in meat quality assessment// MEAT SCIENCE. -Vol. 131, (2017), s.119-131
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.meatsci.2017.04.240
- Bibliography: test
-
- Aernecke, M. J., & Walt, D. R. (2009). Optical-fiber arrays for vapor sensing. Sensors and Actuators B: Chemical, 142(2), 464-469. http://dx.doi.org/10.1016/j.snb.2009.06. 054. open in new tab
- Albert, K. J., Lewis, N. S., Schauer, C. L., Sotzing, G. A., Stitzel, S. E., Vaid, T. P., & Walt, D. R. (2000). Cross-reactive chemical sensor arrays. Chemical Reviews, 100(7), 2595-2626. http://dx.doi.org/10.1021/cr980102w. open in new tab
- Ampuero, S., Bee, G., & Hansen-Møller, J. (2006). The potential to detect boar tainted carcasses by using an electronic nose based on mass spectrometry. Acta Veterinaria Scandinavica. BioMed Central. http://dx.doi.org/10.1186/1751-0147-48-S1-P1. open in new tab
- Ampuero, S., & Bosset, J. O. (2003). The electronic nose applied to dairy products: A review. Sensors and Actuators B: Chemical, 94(1), 1-12. http://dx.doi.org/10.1016/ S0925-4005(03)00321-6. open in new tab
- Annor-Frempong, I. E., Nute, G. R., Wood, J. D., Whittington, F. W., & West, A. (1998). The measurement of the responses to different odour intensities of`boar taint' using a sensory panel and an electronic nose. Meat Science, 50(2), 139-151. http://dx.doi. org/10.1016/S0309-1740(98)00001-1. open in new tab
- Arshak, K., Moore, E., Lyons, G. M., Harris, J., & Clifford, S. (2004). A review of gas sensors employed in electronic nose applications. Sensor Review, 24(2), 181-198. http://dx.doi.org/10.1108/02602280410525977. open in new tab
- Balasubramanian, S., Logue, C. M., & Marchello, M. (2004). Spoilage identification of beef using an electronic nose system. Transactions of the ASAE, 47(5), 1625-1633. open in new tab
- Balasubramanian, S., Panigrahi, S., Logue, C. M., Doetkott, C., Marchello, M., & Sherwood, J. S. (2008). Independent component analysis-processed electronic nose data for predicting Salmonella typhimurium populations in contaminated beef. Food Control, 19(3), 236-246. http://dx.doi.org/10.1016/j.foodcont.2007.03.007. open in new tab
- Balasubramanian, S., Panigrahi, S., Logue, C. M., Gu, H., & Marchello, M. (2009). Neural networks-integrated metal oxide-based artificial olfactory system for meat spoilage identification. Journal of Food Engineering, 91(1), 91-98. http://dx.doi.org/10.1016/ j.jfoodeng.2008.08.008. open in new tab
- Balasubramanian, S., Panigrahi, S., Logue, C. M., Marchello, M., & Serwood, J. S. (2005). Identification of salmonella-inoculated beef using a portable electronic nose system. Journal of Rapid Methods and Automation in Microbiology, 13(2), 71-95. http://dx.doi. org/10.1111/j.1745-4581.2005.00011.x. open in new tab
- Barié, N., Bücking, M., & Rapp, M. (2006). A novel electronic nose based on miniaturized SAW sensor arrays coupled with SPME enhanced headspace-analysis and its use for rapid determination of volatile organic compounds in food quality monitoring. Sensors and Actuators B: Chemical, 114(1), 482-488. http://dx.doi.org/10.1016/j.snb. 2005.06.051. open in new tab
- Bedoui, S., Faleh, R., Samet, H., & Kachouri, A. (2013). Electronic nose system and principal component analysis technique for gases identification (pp. 1-6). IEEE. http://dx.doi.org/ 10.1109/SSD.2013.6564152. open in new tab
- Bellec, P., Rosa-Neto, P., Lyttelton, O. C., Benali, H., & Evans, A. C. (2010). Multi-level bootstrap analysis of stable clusters in resting-state fMRI. http://dx.doi.org/10.1016/j. neuroimage.2010.02.082. open in new tab
- Blixt, Y., & Borch, E. (1999). Using an electronic nose for determining the spoilage of vacuum-packaged beef. International Journal of Food Microbiology, 46(2), 123-134. http://dx.doi.org/10.1016/S0168-1605(98)00192-5. open in new tab
- Bonneau, M. (1982). Compounds responsible for boar taint, with special emphasis on androstenone: A review. Livestock Production Science, 9(6), 687-705. open in new tab
- Borjesson, T., Eklov, T., Jonsson, A., Sundgren, H., & Schnurer, J. (1996). Electronic nose for odor classification of grains. Cereal Chemistry, 73(4), 457-461.
- Bougrini, M., Tahri, K., Haddi, Z., Saidi, T., El Bari, N., & Bouchikhi, B. (2014). Detection of adulteration in Argan oil by using an electronic nose and a voltammetric electronic tongue. Journal of Sensors, 2014, 1-10. http://dx.doi.org/10.1155/2014/245831. open in new tab
- Bourrounet, B., Talou, T., & Gaset, A. (1995). Application of a multi-gas-sensor device in the meat industry for boar-taint detection. Sensors and Actuators B: Chemical, 27, 250-254. http://dx.doi.org/10.1016/0925-4005(94)01596-A. open in new tab
- Buck, T., Allen, F., & Dalton, J. (1965). Detection of chemical species by surface effects on metals and semiconductors. Surface effects in detection. Spartan Books.
- Burian, C., Brezmes, J., Vinaixa, M., Cañellas, N., Llobet, E., Vilanova, X., & Correig, X. (2010). MS-electronic nose performance improvement using the retention time dimension and two-way and three-way data processing methods. Sensors and Actuators B: Chemical, 143(2), 759-768. http://dx.doi.org/10.1016/j.snb.2009.10. 015. open in new tab
- Byrne, D. V., Bak, L. S., Bredie, W. L. P., Bertelsen, C., & Martens, M. (1999). Development of a sensory vocabulary for warmed-over flavor: Part I. In porcine meat. Journal of Sensory Studies, 14(1), 47-65. http://dx.doi.org/10.1111/j.1745-459X.1999. tb00104.x. open in new tab
- Capelli, L., Sironi, S., & Del Rosso, R. (2014). Electronic noses for environmental monitoring applications. Sensors, 14(11), 19979-20007. http://dx.doi.org/10.3390/ s141119979. open in new tab
- Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business researchNew York: Psychology Press. Retrieved from https://books.google.com/books?hl=pl&lr=&id= EDZ5AgAAQBAJ&pgis=1.
- Collier, W., Baird, D., Park-Ng, Z., More, N., & Hart, A. (2003). Discrimination among milks and cultured dairy products using screen-printed electrochemical arrays and an electronic nose. Sensors and Actuators B: Chemical, 92(1), 232-239. http://dx.doi.org/ 10.1016/S0925-4005(03)00271-5. open in new tab
- Cynkar, W., Cozzolino, D., Dambergs, B., Janik, L., & Gishen, M. (2007). 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. Sensors and Actuators B: Chemical, 124(1), 167-171. http://dx.doi.org/10.1016/j.snb.2006.12.017. open in new tab
- Cyranose 320 Portable Handheld Electronic Nose (2014). Retrieved from http://www. sensigent.com/products/C320Datasheet.pdf. open in new tab
- D'Amico, A., Pennazza, G., Santonico, M., Martinelli, E., Roscioni, C., Galluccio, G., ... Di Natale, C. (2010). An investigation on electronic nose diagnosis of lung cancer. Lung Cancer (Amsterdam, Netherlands), 68(2), 170-176. http://dx.doi.org/10.1016/j. lungcan.2009.11.003. open in new tab
- Dayhoff, J. E., & DeLeo, J. M. (2001). Artificial neural networks: opening the black box. Cancer, 91(8 Suppl), 1615-1635. Retrieved from http://www.ncbi.nlm.nih.gov/ pubmed/11309760. open in new tab
- Deisingh, A. K., Stone, D. C., & Thompson, M. (2004). Applications of electronic noses and tongues in food analysis. International Journal of Food Science and Technology, 39(6), 587-604. http://dx.doi.org/10.1111/j.1365-2621.2004.00821.x. open in new tab
- Di Natale, C., Macagnano, A., Davide, F., D'Amico, A., Paolesse, R., Boschi, T., ... Ferri, G. (1997). An electronic nose for food analysis. Sensors and Actuators B: Chemical, 44(1), 521-526. http://dx.doi.org/10.1016/S0925-4005(97)00175-5. open in new tab
- Di Natale, C., Pennazza, G., Macagnano, A., Martinelli, E., Paolesse, R., & D'Amico, A. (2003). Thickness shear mode resonator sensors for the detection of androstenone in pork fat. Sensors and Actuators B: Chemical, 91(1), 169-174. http://dx.doi.org/10. 1016/S0925-4005(03)00084-4. open in new tab
- Ding, N., Lan, Y., & Zheng, X. (2010). Rapid detection of E. coli on goat meat by electronic nose. Advances in Natural Science, 3(2), 185-191. http://dx.doi.org/10.3968/g950. open in new tab
- Dravnieks, A., & Trotter, P. J. (1965). Polar vapour detector based on thermal modulation of contact potential. Journal of Scientific Instruments, 42(8), 624-627. http://dx.doi. org/10.1088/0950-7671/42/8/335. open in new tab
- Dymerski, T. M., Chmiel, T. M., & Wardencki, W. (2011). An odor-sensing system - powerful technique for foodstuff studies. The Review of Scientific Instruments, 82(11), 111101. http://dx.doi.org/10.1063/1.3660805. open in new tab
- Ehrmann, S., Jüngst, J., & Goschnick, J. (2000). Automated cooking and frying control using a gas sensor microarray. Sensors and Actuators B: Chemical, 66(1), 43-45. http://dx.doi.org/10.1016/S0925-4005(99)00354-8. open in new tab
- Eklöv, T., Johansson, G., & Winquist, F. (1998). Monitoring sausage fermentation using an electronic nose. Sci Food Agrid, 76, 525-532. open in new tab
- Eklöv, T., Mårtensson, P., & Lundström, I. (1997). Enhanced selectivity of MOSFET gas sensors by systematical analysis of transient parameters. Analytica Chimica Acta, 353(2-3), 291-300. http://dx.doi.org/10.1016/S0003-2670(97)87788-4. open in new tab
- El Barbri, N., Llobet, E., El Bari, N., Correig, X., & Bouchikhi, B. (2008). Electronic nose based on metal oxide semiconductor sensors as an alternative technique for the spoilage classification of red meat. Sensors, 8(1), 142-156. http://dx.doi.org/10. 3390/s8010142. open in new tab
- Escuderos, M. E., Sánchez, S., & Jiménez, A. (2011). Quartz crystal microbalance (QCM) sensor arrays selection for olive oil sensory evaluation. Food Chemistry, 124(3), 857-862. http://dx.doi.org/10.1016/j.foodchem.2010.07.007. open in new tab
- Fishler, F. (1995). Commission decision of 8 March 1995 fixing the total volatile basic nitrogen (TVB-N) limit values for certain categories of fishery products and specifying the analysis methods to be used. Official Journal of the European Communities. Retrieved from http://data.europa.eu/eli/dec/1995/149/oj.
- García, M., Aleixandre, M., Gutiérrez, J., & Horrillo, M. C. (2006). Electronic nose for ham discrimination. Sensors and Actuators B: Chemical, 114(1), 418-422. http://dx.doi. org/10.1016/j.snb.2005.04.045. open in new tab
- Gardner, J. W., & Bartlett, P. N. (1994). A brief history of electronic noses. Sensors and Actuators B: Chemical, 18(1-3), 210-220. http://dx.doi.org/10.1016/0925-4005(94) 87085-3. open in new tab
- Gebicki, J., & Dymerski, T. (2016). Application of chemical sensors and sensor matrixes to air quality evaluation. Comprehensive Analytical Chemistry. http://dx.doi.org/10. 1016/bs.coac.2016.02.007. open in new tab
- Gębicki, J. (2016). Application of electrochemical sensors and sensor matrixes for measurement of odorous chemical compounds. TrAC Trends in Analytical Chemistry, 77, 1-13. http://dx.doi.org/10.1016/j.trac.2015.10.005. open in new tab
- Ghaly, A. E., Dave, D., & Ghaly, A. E. (2011). Meat spoilage mechanisms and preservation techniques: A critical review. American Journal of Agricultural and Biological Sciences, 6(4), 486-510. Retrieved from http://thescipub.com/PDF/ajabssp.2011.486.510. pdf.
- Ghasemi-Varnamkhasti, M., Mohtasebi, S. S., Siadat, M., & Balasubramanian, S. (2009). Meat quality assessment by electronic nose (machine olfaction technology). Sensors, 9(8), 6058-6083. http://dx.doi.org/10.3390/s90806058. open in new tab
- Giordani, D. S., Siqueira, A. F., Silva, M. L. C. P., Oliveira, P. C., & Castro, H. F. D. (2008). Identification of the biodiesel source using an electronic nose. Energy & Fuels, 22(9), 2743-2747. http://dx.doi.org/10.1021/ef700760b. open in new tab
- Glatz, R., & Bailey-Hill, K. (2011). Mimicking nature's noses: From receptor deorphaning to olfactory biosensing. Progress in Neurobiology, 93(2), 270-296. http://dx.doi.org/ 10.1016/j.pneurobio.2010.11.004. open in new tab
- González-Martín, I., Pérez-Pavón, J. L., González-Pérez, C., Hernández-Méndez, J., & Álvarez-García, N. (2000). Differentiation of products derived from Iberian breed swine by electronic olfactometry (electronic nose). Analytica Chimica Acta, 424(2), 279-287. http://dx.doi.org/10.1016/S0003-2670(00)01106-5. open in new tab
- Grigioni, G. M., Margaría, C. A., Pensel, N. A., Sánchez, G., & Vaudagna, S. R. (2000). Warmed-over flavour analysis in low temperature-long time processed meat by an "electronic nose". Meat Science, 56(3), 221-228. http://dx.doi.org/10.1016/S0309- 1740(00)00045-0. open in new tab
- Hansen, T., Petersen, M. A., & Byrne, D. V. (2005). Sensory based quality control utilising an electronic nose and GC-MS analyses to predict end-product quality from raw materials. Meat Science, 69(4), 621-634. http://dx.doi.org/10.1016/j.meatsci.2003. 11.024. open in new tab
- Haugen, J. (2006). The use of chemical sensor array technology, the electronic nose, for detection of boar taint. BioMed Central: Acta Veterinaria Scandinavicahttp://dx.doi. org/10.1186/1751-0147-48-S1-S15. open in new tab
- Haugen, J.-E., Brunius, C., & Zamaratskaia, G. (2012). Review of analytical methods to measure boar taint compounds in porcine adipose tissue: The need for harmonised methods. Meat Science, 90(1), 9-19. http://dx.doi.org/10.1016/j.meatsci.2011.07. 005. open in new tab
- Hong, X., & Wang, J. (2012). Discrimination and prediction of pork freshness by E-nose. IFIP Advances in Information and Communication Technology, 370 AICT(PART 3), 1-14. http://dx.doi.org/10.1007/978-3-642-27275-2_1. open in new tab
- Hong, X., Wang, J., & Hai, Z. (2012). Discrimination and prediction of multiple beef freshness indexes based on electronic nose. Sensors and Actuators B: Chemical, 161(1), 381-389. http://dx.doi.org/10.1016/j.snb.2011.10.048. open in new tab
- Huang, L., Zhao, J., Chen, Q., & Zhang, Y. (2014a). Nondestructive measurement of total volatile basic nitrogen (TVB-N) in pork meat by integrating near infrared spectroscopy, computer vision and electronic nose techniques. Food Chemistry, 145, 228-236. http://dx.doi.org/10.1016/j.foodchem.2013.06.073. open in new tab
- Huang, X., Zou, X., Zhao, J., Shi, J., Zhang, X., Li, Z., & Shen, L. (2014b). Sensing the quality parameters of Chinese traditional Yao-meat by using a colorimetric sensor combined with genetic algorithm partial least squares regression. Meat Science, 98(2), 203-210. http://dx.doi.org/10.1016/j.meatsci.2014.05.033. open in new tab
- Janata, J., & Josowicz, M. (2003). Conducting polymers in electronic chemical sensors. Nature Materials, 2(1), 19-24. http://dx.doi.org/10.1038/nmat768. open in new tab
- Jayathilakan, K., Sharma, G. K., Radhakrishna, K., & Bawa, A. S. (2007). Antioxidant potential of synthetic and natural antioxidants and its effect on warmed-over-flavour in different species of meat. Food Chemistry, 105(3), 908-916. http://dx.doi.org/10. 1016/j.foodchem.2007.04.068. open in new tab
- Jensen, P. N., Bertelsen, G., & Van Den Berg, F. (2005). Monitoring oxidative quality of pork scratchings, peanuts, oatmeal and muesli by sensor array. Journal of the Science of Food and Agriculture, 85(2), 206-212. http://dx.doi.org/10.1002/jsfa.1946. open in new tab
- Jia, H., Lu, Y., He, J., Pan, T., Xiao, L., Zhang, Z., & Zhu, L. (2011). Recognition of yak meat, beef and pork by electronic nose. Transactions of the CSAE, 27(5), 358-363.
- Kalman, E.-L., Löfvendahl, A., Winquist, F., & Lundström, I. (2000). Classification of complex gas mixtures from automotive leather using an electronic nose. Analytica Chimica Acta, 403(1-2), 31-38. http://dx.doi.org/10.1016/S0003-2670(99)00604-2. open in new tab
- Keller, P. E. (1995). Electronic noses and their applications (pp. 116-). IEEE. http://dx.doi. org/10.1109/NORTHC.1995.485024. open in new tab
- Kiani, S., Minaei, S., & Ghasemi-Varnamkhasti, M. (2016). Fusion of artificial senses as a robust approach to food quality assessment. Journal of Food Engineering, 171, 230-239. http://dx.doi.org/10.1016/j.jfoodeng.2015.10.007. open in new tab
- Kim, J. H. H., Lee, J. W. W., Shon, S. H. H., Jang, A., Lee, K. T. T., Lee, M., & Jo, C. (2008). Reduction of volatile compounds and off-odor in irradiated ground pork using a charcoal packaging. Journal of Muscle Foods, 19(2), 194-208. http://dx.doi.org/10. 1111/j.1745-4573.2008.00112.x. open in new tab
- Kodogiannis, V. S. (2013). Point-of-care diagnosis of bacterial pathogens in vitro, utilising an electronic nose and wavelet neural networks. Neural Computing and Applications, 1-14. http://dx.doi.org/10.1007/s00521-013-1494-8. open in new tab
- Korel, F., & Balaban, M. O. (2009). Electronic nose technology in food analysis. In S. Ötleş (Ed.), Handbook of food analysis instruments (pp. 365-378). Boca Raton, FL: CRC Press.
- Koutsoumanis, K. P., Stamatiou, A. P., Drosinos, E. H., & Nychas, G.-J. E. (2008). Control of spoilage microorganisms in minced pork by a self-developed modified atmosphere induced by the respiratory activity of meat microflora. Food Microbiology, 25(7), 915-921. http://dx.doi.org/10.1016/j.fm.2008.05.006. open in new tab
- Law, J., & Jolliffe, I. T. (1987). Principal component analysis. The Statistician, 36(4), 432. http://dx.doi.org/10.2307/2348864. open in new tab
- Li, H., Chen, Q., Zhao, J., & Ouyang, Q. (2014). Non-destructive evaluation of pork freshness using a portable electronic nose (E-nose) based on a colorimetric sensor array. Analytical Methods, 6(16), 6271. http://dx.doi.org/10.1039/C4AY00014E. open in new tab
- Li, H., Chen, Q., Zhao, J., & Wu, M. (2015). Nondestructive detection of total volatile basic nitrogen (TVB-N) content in pork meat by integrating hyperspectral imaging and colorimetric sensor combined with a nonlinear data fusion. LWT -Food Science and Technology, 63(1), 268-274. http://dx.doi.org/10.1016/j.lwt.2015.03.052. open in new tab
- Limbo, S., Torri, L., Sinelli, N., Franzetti, L., & Casiraghi, E. (2010). Evaluation and predictive modeling of shelf life of minced beef stored in high-oxygen modified atmosphere packaging at different temperatures. Meat Science, 84(1), 129-136. http://dx.doi.org/10.1016/j.meatsci.2009.08.035. open in new tab
- Loutfi, A., Coradeschi, S., Mani, G. K., Shankar, P., & Rayappan, J. B. B. (2015). Electronic noses for food quality: A review. Journal of Food Engineering, 144, 103-111. http://dx. doi.org/10.1016/j.jfoodeng.2014.07.019. open in new tab
- Martí, M. P., Busto, O., Guasch, J., & Boqué, R. (2005). Electronic noses in the quality control of alcoholic beverages. TrAC Trends in Analytical Chemistry, 24(1), 57-66. http://dx.doi.org/10.1016/j.trac.2004.09.006. open in new tab
- Mayr, D., Margesin, R., Klingsbichel, E., Hartungen, E., Jenewein, D., Schinner, F., & Märk, T. D. (2003). Rapid detection of meat spoilage by measuring volatile organic compounds by using proton transfer reaction mass spectrometry. Applied and Environmental Microbiology, 69(8), 4697-4705. http://dx.doi.org/10.1128/aem.69.8. 4697-4705.2003. open in new tab
- McEntegart, C. M., Penrose, W. R., Strathmann, S., & Stetter, J. R. (2000). Detection and discrimination of coliform bacteria with gas sensor arrays. Sensors and Actuators B: Chemical, 70(1-3), 170-176. http://dx.doi.org/10.1016/S0925-4005(00)00561-X. open in new tab
- Mielle, P., Marquis, F., & Latrasse, C. (2000). Electronic noses: Specify or disappear. Sensors and Actuators B: Chemical, 69(3), 287-294. http://dx.doi.org/10.1016/ S0925-4005(00)00509-8. open in new tab
- Moncrieff, R. W. (1961). An instrument for measuring and classifying odors. Journal of Applied Physiology, 16(4), 742-749. Retrieved from http://jap.physiology.org/ content/16/4/742. open in new tab
- Monroy, J. G., Gonzalez-Jimenez, J., & Sanchez-Garrido, C. (2014). Monitoring household garbage odors in urban areas through distribution maps. IEEE SENSORS 2014 Proceedings (pp. 1364-1367). IEEE. http://dx.doi.org/10.1109/ICSENS.2014. 6985265. open in new tab
- Morvan, M., Talou, T., & Beziau, J.-F. (2003). MOS-MOSFET gas sensors array measurements versus sensory and chemical characterisation of VOC's emissions from car seat foams. Sensors and Actuators B: Chemical, 95(1), 212-223. http://dx.doi.org/ 10.1016/S0925-4005(03)00425-8. open in new tab
- Musatov, V. Y., Sysoev, V. V., Sommer, M., & Kiselev, I. (2010). Assessment of meat freshness with metal oxide sensor microarray electronic nose: A practical approach. Sensors and Actuators B: Chemical, 144(1), 99-103. http://dx.doi.org/10.1016/j.snb. 2009.10.040. open in new tab
- Neely, K., Taylor, C., Prosser, O., & Hamlyn, P. F. (2001). Assessment of cooked alpaca and llama meats from the statistical analysis of data collected using an "electronic nose". Meat Science, 58(1), 53-58. http://dx.doi.org/10.1016/S0309-1740(00) 00130-3. open in new tab
- Nurjuliana, M., Che Man, Y. B., & Mat Hashim, D. (2011a). Analysis of Lard's aroma by an electronic nose for rapid halal authentication. Journal of the American Oil Chemists' Society, 88(1), 75-82. http://dx.doi.org/10.1007/s11746-010-1655-1. open in new tab
- Nurjuliana, M., Che Man, Y. B., Mat Hashim, D., & Mohamed, A. K. S. (2011b). Rapid identification of pork for halal authentication using the electronic nose and gas chromatography mass spectrometer with headspace analyzer. Meat Science, 88(4), 638-644. http://dx.doi.org/10.1016/j.meatsci.2011.02.022. open in new tab
- O'Sullivan, M., Byrne, D., Jensen, M., Andersen, H., & Vestergaard, J. (2003). A comparison of warmed-over flavour in pork by sensory analysis, GC/MS and the electronic nose. Meat Science, 65(3), 1125-1138. http://dx.doi.org/10.1016/S0309- 1740(02)00342-X. open in new tab
- OECD/Food and Agriculture Organization of the United Nations (2015). OECD-FAO agricultural outlook 2015. Paris. Retrieved fromhttp://dx.doi.org/10.1787/agr_ outlook-2015-en. open in new tab
- Olsen, E., Vogt, G., Ekeberg, D., Sandbakk, M., Pettersen, J., & Nilsson, A. (2005a). Analysis of the early stages of lipid oxidation in freeze-stored pork back fat and mechanically recovered poultry meat. Journal of Agricultural and Food Chemistry, 53(2), 338-348. http://dx.doi.org/10.1021/jf0488559. open in new tab
- Olsen, E., Vogt, G., Veberg, A., Ekeberg, D., & Nilsson, A. (2005b). Analysis of early lipid oxidation in smoked, comminuted pork or poultry sausages with spices. Journal of Agricultural and Food Chemistry, 53, 7448-7457. open in new tab
- Otero, L., Horrillo, C., García, M., Sayago, I., Aleixandre, M., Fernández, J., ... Gutiérrez, J. (2003). Detection of Iberian ham aroma by a semiconductor multisensorial system. Meat Science, 65(3), 1175-1185. http://dx.doi.org/10.1016/S0309-1740(02) 00347-9. open in new tab
- Panigrahi, S., Balasubramanian, S., Gu, H., Logue, C. M., & Marchello, M. (2006). Design and development of a metal oxide based electronic nose for spoilage classification of beef. Sensors and Actuators B: Chemical, 119(1), 2-14. http://dx.doi.org/10.1016/j. snb.2005.03.120. open in new tab
- Papadopoulou, O. S., Panagou, E. Z., Mohareb, F. R., & Nychas, G.-J. E. (2013). Sensory and microbiological quality assessment of beef fillets using a portable electronic nose in tandem with support vector machine analysis. Food Research International, 50(1), 241-249. http://dx.doi.org/10.1016/j.foodres.2012.10.020. open in new tab
- Papadopoulou, O. S., Tassou, C. C., Schiavo, L., Nychas, G.-J. E., & Panagou, E. Z. (2011). Rapid assessment of meat quality by means of an electronic nose and support vector machines. Procedia Food Science, 1(Icef 11), 2003-2006. http://dx.doi.org/10.1016/j. profoo.2011.09.295. open in new tab
- Pardo, M., Kwong, L. G., Sberveglieri, G., Brubaker, K., Schneider, J. F., Penrose, W. R., & Stetter, J. R. (2005). Data analysis for a hybrid sensor array. Sensors and Actuators B: Chemical, 106(1), 136-143. http://dx.doi.org/10.1016/j.snb.2004.05.045. open in new tab
- Persaud, K., & Dodd, G. (1982). Analysis of discrimination mechanisms in the mammalian olfactory system using a model nose. Nature, 299(5881), 352-355. http://dx.doi.org/ 10.1038/299352a0. open in new tab
- Persaud, K., & Pelosi, P. (1992). Sensor arrays using conducting polymers for an artificial nose. In J. W. Gardner, & P. N. Bartlett (Eds.), Sensors and Sensory Systems for an Electronic Nose (pp. 237-256). Springer Science & Business Media. open in new tab
- Rajamäki, T., Alakomi, H.-L., Ritvanen, T., Skyttä, E., Smolander, M., & Ahvenainen, R. (2006). Application of an electronic nose for quality assessment of modified atmosphere packaged poultry meat. Food Control, 17(1), 5-13. http://dx.doi.org/10. 1016/j.foodcont.2004.08.002. open in new tab
- Salinas, Y., Ros-Lis, J. V., Vivancos, J. L., Martínez-Máñez, R., Marcos, M. D., Aucejo, S., ... open in new tab
- Garcia, E. (2014). A novel colorimetric sensor array for monitoring fresh pork sausages spoilage. Food Control, 35(1), 166-176. http://dx.doi.org/10.1016/j. foodcont.2013.06.043. open in new tab
- Santonico, M., Pennazza, G., Grasso, S., D'Amico, A., & Bizzarri, M. (2013). Design and test of a biosensor-based multisensorial system: A proof of concept study. Sensors (Basel, Switzerland), 13(12), 16625-16640. http://dx.doi.org/10.3390/s131216625. open in new tab
- Santos, J. P., García, M., Aleixandre, M., Horrillo, M. C., Gutiérrez, J., Sayago, I., ... Arés, L. (2004). Electronic nose for the identification of pig feeding and ripening time in Iberian hams. Meat Science, 66(3), 727-732. http://dx.doi.org/10.1016/j.meatsci. 2003.07.005. open in new tab
- Schaller, E., Bosset, J. O., & Escher, F. (1998). "Electronic noses" and their application to food. LWT -Food Science and Technology, 31(4), 305-316. http://dx.doi.org/10.1006/ fstl.1998.0376. open in new tab
- Scott, S. M., James, D., & Ali, Z. (2006). Data analysis for electronic nose systems. Microchimica Acta, 156(3-4), 183-207. http://dx.doi.org/10.1007/s00604-006- 0623-9. open in new tab
- Shelf life of foods: Guidelines for its determination and prediction (1993). London: Institute of Food Science and Technology (U.K.). open in new tab
- Śliwińska, M., Wiśniewska, P., Dymerski, T., Namieśnik, J., & Wardencki, W. (2014a). Food analysis using artificial senses. Journal of Agricultural and Food Chemistry, 62(7), 1423-1448. http://dx.doi.org/10.1021/jf403215y. open in new tab
- Śliwińska, M., Wiśniewska, P., Dymerski, T., Namieśnik, J., & Wardencki, W. (2014b). Food analysis using artificial senses. Journal of Agricultural and Food Chemistry, 62(7), 1423-1448. http://dx.doi.org/10.1021/jf403215y. open in new tab
- Tang, X., Sun, X., Wu, V. C. H., Xie, J., Pan, Y., Zhao, Y., & Malakar, P. K. (2013). Predicting shelf-life of chilled pork sold in China. Food Control, 32(1), 334-340. http://dx.doi.org/10.1016/j.foodcont.2012.12.010. open in new tab
- Taurino, A. M., Monaco, D. D., Capone, S., Epifani, M., Rella, R., Siciliano, P., ...
- Balzarano, D. (2003). Analysis of dry salami by means of an electronic nose and correlation with microbiological methods. Sensors and Actuators B: Chemical, 95(1), 123-131. http://dx.doi.org/10.1016/S0925-4005(03)00421-0. open in new tab
- Tian, X., Wang, J., & Cui, S. (2013). Analysis of pork adulteration in minced mutton using electronic nose of metal oxide sensors. Journal of Food Engineering, 119(4), 744-749. open in new tab
- http://dx.doi.org/10.1016/j.jfoodeng.2013.07.004. open in new tab
- Tian, X. Y., Cai, Q., & Zhang, Y. M. (2012). Rapid classification of hairtail fish and pork freshness using an electronic nose based on the PCA method. Sensors, 12(1), 260-277. http://dx.doi.org/10.3390/s120100260. open in new tab
- Tikk, K., Haugen, J.-E., Andersen, H. J., & Aaslyng, M. D. (2008). Monitoring of warmed- over flavour in pork using the electronic nose -Correlation to sensory attributes and secondary lipid oxidation products. Meat Science, 80(4), 1254-1263. http://dx.doi. org/10.1016/j.meatsci.2008.05.040. open in new tab
- Tominaga, Y. (1999). Comparative study of class data analysis with PCA-LDA, SIMCA, PLS, ANNs, and k-NN. Chemometrics and Intelligent Laboratory Systems, 49(1), 105-115. http://dx.doi.org/10.1016/S0169-7439(99)00034-9. open in new tab
- ul Hasan, N., Ejaz, N., Ejaz, W., & Kim, H. S. (2012). Meat and fish freshness inspection system based on odor sensing. Sensors (Basel, Switzerland), 12(11), 15542-15557. http://dx.doi.org/10.3390/s121115542. open in new tab
- Vernat-Rossi, V., Garcia, C., Talon, R., Denoyer, C., & Berdagué, J.-L. (1996). Rapid discrimination of meat products and bacterial strains using semiconductor gas sensors. Sensors and Actuators B: Chemical, 37(1-2), 43-48. http://dx.doi.org/10. 1016/S0925-4005(97)80070-6. open in new tab
- Vestergaard, J. S., Haugen, J.-E., & Byrne, D. V. (2006). Application of an electronic nose for measurements of boar taint in entire male pigs. Meat Science, 74(3), 564-577. http://dx.doi.org/10.1016/j.meatsci.2006.05.005. open in new tab
- Vestergaard, J. S., Martens, M., & Turkki, P. (2007a). Analysis of sensory quality changes during storage of a modified atmosphere packaged meat product (pizza topping) by an electronic nose system. LWT -Food Science and Technology, 40(6), 1083-1094. http://dx.doi.org/10.1016/j.lwt.2006.06.009. open in new tab
- Vestergaard, J. S., Martens, M., & Turkki, P. (2007b). Application of an electronic nose system for prediction of sensory quality changes of a meat product (pizza topping) during storage. LWT -Food Science and Technology, 40(6), 1095-1101. http://dx.doi. org/10.1016/j.lwt.2006.06.008. open in new tab
- Wang, D., Wang, X., Liu, T., & Liu, Y. (2012). Prediction of total viable counts on chilled pork using an electronic nose combined with support vector machine. Meat Science, 90(2), 373-377. http://dx.doi.org/10.1016/j.meatsci.2011.07.025. open in new tab
- Wilkens, W. F., & Hartman, J. D. (1964). An electronic analog for the olfactory processes? Annals of the New York Academy of Sciences, 116(2 Recent Advanc), 608-612. http:// dx.doi.org/10.1111/j.1749-6632.1964.tb45092.x. open in new tab
- Wilson, A. D. (2012). Review of electronic-nose technologies and algorithms to detect hazardous chemicals in the environment. Procedia Technology, 1, 453-463. http://dx. doi.org/10.1016/j.protcy.2012.02.101. open in new tab
- Wilson, A. D. (2016). Recent progress in the design and clinical development of electronic-nose technologies. Nanobiosensors in Disease Diagnosis, 5, 15. http://dx.doi. org/10.2147/NDD.S66278. open in new tab
- Winquist, F., Hornsten, E. G., Sundgren, H., & Lundstrom, I. (1993). Performance of an electronic nose for quality estimation of ground meat. Measurement Science and Technology, 4(12), 1493-1500. http://dx.doi.org/10.1088/0957-0233/4/12/029. open in new tab
- Wojnowski, W., Majchrzak, T., Gębicki, J., Dymerski, T., & Namieśnik, J. (2016). In: In P. Jasiński (Ed.), Comparison of the measurement techniques employed for evaluation of ambient air odor qualityInternational Society for Optics and Photonicshttp://dx.doi. org/10.1117/12.2244678. open in new tab
- Xiaowei, H., Xiaobo, Z., Jiewen, Z., Jiyong, S., Zhihua, L., & Tingting, S. (2015). Monitoring the biogenic amines in Chinese traditional salted pork in jelly (Yao-meat) by colorimetric sensor array based on nine natural pigments. International Journal of Food Science & Technology, 50(1), 203-209. http://dx.doi.org/10.1111/ijfs.12620. open in new tab
- Xu, Y., Cheung, W., Winder, C. L., & Goodacre, R. (2010). VOC-based metabolic profiling for food spoilage detection with the application to detecting Salmonella typhimurium- contaminated pork. Analytical and Bioanalytical Chemistry, 397(6), 2439-2449. http://dx.doi.org/10.1007/s00216-010-3771-z. open in new tab
- Xue, J., Dial, G. D., Holton, E. E., Vickers, Z., Squires, E. J., Lou, Y., ... open in new tab
- Morel, N. (1996). Breed differences in boar taint: relationship between tissue levels boar taint compounds and sensory analysis of taint. Journal of Animal Science, 74(9), 2170. http://dx.doi.org/10.2527/1996.7492170x. open in new tab
- Yadava, R. D. S., & Chaudhary, R. (2006). Solvation, transduction and independent component analysis for pattern recognition in SAW electronic nose. Sensors and Actuators B: Chemical, 113(1), 1-21. http://dx.doi.org/10.1016/j.snb.2005.02.031. open in new tab
- Zhang, Z., Tong, J., Chen, D.h., & Lan, Y.b. (2008). Electronic nose with an air sensor matrix for detecting beef freshness. Journal of Bionic Engineering, 5(1), 67-73. http:// dx.doi.org/10.1016/S1672-6529(08)60008-6. open in new tab
- Zhang, Tian, F.-C., Peng, X.-W., & Yin, X. (2014a). A rapid discreteness correction scheme for reproducibility enhancement among a batch of MOS gas sensors. Sensors and Actuators A: Physical, 205, 170-176. http://dx.doi.org/10.1016/j.sna.2013.11.015. open in new tab
- Zhang, L., Tian, F., & Pei, G. (2014b). A novel sensor selection using pattern recognition in electronic nose. Measurement, 54, 31-39. http://dx.doi.org/10.1016/j. measurement.2014.04.005. open in new tab
- Verified by:
- Gdańsk University of Technology
seen 276 times
Recommended for you
PTR-MS and electronic nose application for volatile fraction analysis of cigar tobacco
- P. J. Hać,
- J. Dobosz,
- Ł. Kołodziejski
- + 2 authors