Analisis Kandungan Minyak Babi Pada Minyak Kanola Melalui Klasifikasi Pola Hidung Elektronik (E-Nose) Berbasis Linear Diskriminan Analysis(LDA)

muthmainnah muthmainnah, Imam Tazi, Suyono Suyono, Avin Ainur, Fajrul Falah, Arum Sinda Santika

Abstract


The classification of the aroma pattern of pork oil and canola oil on the chemometric-based electronic nose has been classified. The electronic nose used is a series of chemical sensors combined in parallel. Sensors are made of semiconductor material that can detect changes in gas in the air. Each sample measured by an electronic nose provides output in the form of different voltages on each sensor. The data processing method used is Linear Discriminant Analysis (LDA) which is able to classify based on patterns. The samples used were canola oil, pork oil and a mixture of pork oil and canola oil with a percentage of 50%: 50%. The results of the classification of electronic nose patterns with samples of pork oil and canola oil show that each sample is fairly well clustered with the value of the first disk function is 99.9% and the second discriminant function value is 0.1%.

Keywords


hidung elektronik, LDA, Minyak babi, minyak kanola

References


Borràs, E., Ferré, J., Boqué, R., Aceña, L., Calvo, A., & Busto, O. (2016). Olive oil sensory defects classification with data fusion of instrumental techniques and multivariate analysis ( PLS-DA ). 203, 314–322. https://doi.org/10.1016/j.foodchem.2016.02.038

Botre, B.A., Gharpure, D.C. & Shaligram, A. . (2010). Chemical Embedded Electronic Nose and Supporting Software Tool for its Parameter Optimization. Sensors & Actuators: B. Chemical, 146(2), 453–459.

Che, Y. B., Rohman, M. A., & Mansor, T. S. T. (2011). Differentiation of Lard From Other Edible Fats and Oils by Means of Fourier Transform Infrared Spectroscopy and Chemometrics. 187–192. https://doi.org/10.1007/s11746-010-1659-x

Danang Lelono, M. A. C. (2013). Characterization of Aroma Salak Pondoh Pattern with E-Nose Sensor Metal Oxide Based. IJEIS, 3(1), 71–82.

Fraden, J. (2003). Handbook of Modern Sensors Physics, Designs, And Applications (Third Edit). california: Advanced Monitors Corporation San Diego.

H. Guohua, W. Lvye, M. Yanhong, Z. L. (2012). Study of grass carp (Ctenopharyn-godon idellus) quality predictive model based on the electronic nose. Sensor & Actuators B: Chemical, 35, 301–308.

Haddi, Z. et al. (2011). Discrimination and identification of geographical origin virgin olive oil by an e-nose based on MOS sensors and pattern recognition techniques. Procedia Engineering, 1137–1140.

J. Trihaas, and P. V. N. (2005). Electronic Nose Technology in Quality Assessment: Monitoring the Ripening Process of Danish Blue Cheese. J Food Sci, 70, 44–49.

Li, X. et al. (2016). A Combination of Chemometrics Methods and GC–MS for the Classification of Edible Vegetable Oils. Chemometrics and Intelligent Laboratory Systems, 155, 145–150.

Nurjuliana, M., Che Man, Y.B., and Mat Hashim, D. (2011). Analysis of Lard’s Aroma by An Electronic Nose for Rapid Halal Authentication. JAOCS, Journal of the American Oil Chemists’ Society, 88, 75–82.

Peris, M., & Escuder-gilabert, L. (2009). Analytica Chimica Acta A 21st century technique for food control : Electronic noses. 638, 1–15. https://doi.org/10.1016/j.aca.2009.02.009

Tazi I., Muthmainnah, Suyono, and A. A. (2018). Chemometric-Based Electronic Nose Application to Pork Oil and Olive Oil The Odor Pattern Classifications. Jurnal Neutrino: Jurnal Fisika Dan Aplikasinya, 10(2), 55–64.

Tazi, I., Choiriyah, A., Siswanta, D., & Triyana, K. (2017). Detection of Taste Change of Bovine and Goat Milk in Room Ambient Using Electronic Tongue. 17(3), 422–430. https://doi.org/10.22146/ijc.25288

Upadhyay, R., Sehwag, S. and Mishra, H. . (2017). Frying Disposal Time of Sun Flower Oil Using Hybrid Electronic Nose- Fuzzy Logic Approach. LWT - Food Science and Technology, 78, 332–339.




DOI: http://dx.doi.org/10.20527/flux.v17i1.5132

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