IDENTIFICATION OF TWO TYPES OF ROTTEN MEAT USING AN ELECTRONIC NOSE FOR FOOD QUALITY CONTROL

[1]E.Chenoll, M.Macian, P. Elizaquivel and R.Aznar, “Lactic Acid Bacteria Associated with Vacuum-packed Cooked Meat Product Spoilage: Population Analysis by rDNA-based Methods”, Journal of Applied Microbiology, vol. 102, pp. 498-508, 2006.10.1111/j.1365-2672.2006.03081.x Search in Google Scholar

[2]J.Bruhn, A.Christensen, L.Flodgaard, , K.Nielsen, T.Larsen, M.Givskov and L.Gram, “Presence of Acylated Homoserine Lactones (AHLs) and AHL-Producting Bacteria in Meat and Potential Role of AHL in Spoilage of Meat’’, Applied and Environmental Microbiology, vol. 70, pp. 4293-4302, 2004. Search in Google Scholar

[3]B.Nihad, B.,Mohammed, N.M’barak, B.Naima and D.Sanae, “The detection of smell in spoiled meat by TGS822 gas sensor for an electronic nose used in rotten food”, Europe Middle East and North Africa Conference on Technology and Security to Support Learning, EMENA- TSSL, Springer, vol. 520, pp. 279-286, Morocco, 2017.10.1007/978-3-319-46568-5_29 Search in Google Scholar

[4]A.CheSoh, K.K.Chow, U. K.Mohammad Yusuf, A. J.Ishak, M. K.Hassan and S.Khamis, “Development of neural network-based electronic nose for herbs recognition”, International Journal on Smart Sensing and Intelligent Systems, Vol. 7, June 2014.10.21307/ijssis-2017-671 Search in Google Scholar

[5]B. Tudu, B. Kow, N. Bhattacharyya and R. Bandyopadhyay ,”Normalization techniques for gas sensor array as applied to classification of black tea”, International Journal on Smart Sensing and Intelligent Systems, Vol. 2, pp.1-14, 2009.10.21307/ijssis-2017-344 Search in Google Scholar

[6]T.Kriengkri, T.Theeraphop, L.Noppon and W.Chatchawal, “Evaluation of bacterial population on chicken meats using a briefcase electronic nose”, Biosystems Engineering, Elsevier, vol. 151, pp. 116–125, November 2016.10.1016/j.biosystemseng.2016.09.005 Search in Google Scholar

[7]D.Linong, C.Chunxiang, G.Meijuan and L.Xiaoxiang, “A model for discrimination freshness of shrimp’’, Sensing and Bio-Sensing Research, Elsevier, vol. 6, December 2015, pp. 28–32.10.1016/j.sbsr.2015.11.001 Search in Google Scholar

[8]N. ulHasan, N. Ejaz,W. Ejaz and H.Seok Kim, “Meat and Fish Freshness Inspection System Based on Odor Sensing’’, Sensors, pp. 15542–15557, November 2012. Search in Google Scholar

[9]K.H. Eom, K.H.Hyun, S.Lin and J.W.Kim, “The Meat Freshness Monitoring System Using the Smart RFID Tag’’, International Journal of Distributed Sensor Networks, January 2014.10.1155/2014/591812 Search in Google Scholar

[10]G.H.Elżbieta, G.Dominika, M.Zuzanna, W.K.Iwona, B.Marta and W.Agnieszka, “Applications of electronic noses in meat analysis’’, Food Science and Technology, vol.36, no.3, July 2016.10.1590/1678-457X.03615 Search in Google Scholar

[11]C. Pérès, F.Begnaud, L.Eveleigh and J.L.Berdagué, “Fast Characterization of Foodstuff by Headspace Mass Spectrometry (HS-MS) ’’, Trends in Analytical Chemistry, 2003, pp.858-866.10.1016/S0165-9936(03)01206-8 Search in Google Scholar

[12]K.Arshak, E.Moore, G.M.Lyons, J.Harris and S.Clifford, “A review of gas sensors employed in electronic nose applications’’, Sensor Review, vol. 24, pp. 181-198, 2004.10.1108/02602280410525977 Search in Google Scholar

[13]A.C. Soria, M.J. García-Sarrió and M.L. Sanz, “Volatile sampling by headspace techniques’’, TrAC Trends in Analytical Chemistry, Elsevier, vol.71, pp.85-99, 2015.10.1016/j.trac.2015.04.015 Search in Google Scholar

[14]B.Nihad, B.,Mohammed, N.M’barak, B.Naima and D.Sanae, “Design of temperature and humidity sensors for an electronic nose used in rotten food’’, Electrical and Information Technologies (ICEIT),IEEE, July 2016. Search in Google Scholar

[15]H.Singha, V. B.Rajb, J. Kumara, F. Durania, M. Mishraa, A.T. Nimala and M.U.Sharmaa, “SAW mono sensor for identification of harmful vapors using PCA and ANN’’, Process Safety and Environmental Protection,Elsevier,vol.102,pp.577-588, July 2016.10.1016/j.psep.2016.05.014 Search in Google Scholar

[16]C.M.M. Peter, ,W.Zheng and M. N.Karl, “Compressing movement information via principal components analysis (PCA): Contrasting outcomes from the time and frequency domains’’, Human Movement Science, Elsevier,vol.32, pp.1495-1511, 2013. Search in Google Scholar

[17]R.Z. Morawski and A.Miȩkina,”Application of principal components analysis and signal-to- noise ratio for calibration of spectrophotometric analysers of food’’, Measurement, Elsevier, vol.79, pp.302–310, February 2016.10.1016/j.measurement.2015.10.026 Search in Google Scholar

[18]Y.B. Monakhovaa, R. Godelmannc, T. Kuballac, S.P.Mushtakovab and D.N. Rutledged, “Independent components analysis to increase efficiency of discriminant analysis methods (FDA and LDA): Application to NMR fingerprinting of wine’’, Talanta, Elsevier, vol.141, pp.60-65, August 2015.10.1016/j.talanta.2015.03.03725966381 Search in Google Scholar

[19]K.Romdhane, H.Moncef, R.Hamadi and B.Christophe, “Mid infrared and fluorescence spectroscopies coupled with factorial discriminant analysis technique to identify sheep milk from different feeding systems’’, Food Chemistry, Elsevier, vol.127, pp.743-748, 2011.10.1016/j.foodchem.2010.12.13523140729 Search in Google Scholar

[20]H.Moncef, R.Hamadi, S.Nizar, S.Houcine, A.Mutlag, B.Christophe and K.Romdhane, “Fluorescence spectroscopy coupled with factorial discriminant analysis technique to identify sheep milk from different feeding systems’’, Food Chemistry, Elsevier, vol.122, pp.1344-1350, 2010. Search in Google Scholar

[21]K. Brudzewskia, J. Ulaczykb, S. Osowskic and T. Markiewiczc, “Chiral behavior of TGS gas sensors: Discrimination of the enantiomers by the electronic nose’’, Sensors and Actuators B: Chemical, vol.122, pp.493-502, March 2007.10.1016/j.snb.2006.06.021 Search in Google Scholar