Identification of Human Pathogen in Nutrient Culture Media using an Electronic Nose

Authors

  • Syahida Amani Zulkifli School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia.
  • Che Wan Sharifah Robiah Mohamad Centre of Excellence for Advanced Sensor Technology, (CEASTech), Universiti Malaysia Perlis, 02600 Jejawi, Perlis, Malaysia
  • Abu Hassan Abdullah School of Mechatronic Engineering, Universiti Malaysia Perlis (UniMAP), 02600 Arau, Perlis, Malaysia. Centre of Excellence for Advanced Sensor Technology, (CEASTech), Universiti Malaysia Perlis, 02600 Jejawi, Perlis, Malaysia

Keywords:

Accuracy, Classification, Electronic Nose, Volatile Organic Compound,

Abstract

This paper present human pathogen bacteria for early screening using electronic nose. An electronic nose (Enose) designed for mimicking the mammalian olfactory system to recognize gases and odors. Electronic nose used for detecting different bacteria such as Pseudomonas aeruginosa and Shigella cultured on media agar. In addition, the data from the electronic nose (E-nose) is processed using a statistical method which is principal component analysis (PCA) and existing classification method which is K-Nearest Neighbor Method (KNN). The study shows the capability of electronic nose (E-nose) for early screening for bacterial infection in the human stomach.

References

R. M. S. Thorn, D. M. Reynolds, and J. Greenman, “Multivariate analysis of bacterial volatile compound profiles for discrimination between selected species and strains in vitro,” J. Microbiol. Methods, vol. 84, no. 2, pp. 258–264, 2011.

M. Sohrabi, L. Zhang, K. Zhang, A. Ahmetagic, and M. Q. Wei, “Volatile Organic Compounds as Novel Markers for the Detection of Bacterial Infections.”

N. M. Zetola, C. Modongo, K. Mathlagela, E. Sepako, O. Matsiri, T. Tamuhla, B. Mbongwe, E. Martinelli, G. Sirugo, R. Paolesse, and C. Di Natale, “Identification of a large pool of microorganisms with an array of porphyrin based gas sensors,” Sensors (Switzerland), vol. 16, no. 4, pp. 1–14, 2016.

M. Ghasemi-Varnamkhasti, S. S. Mohtasebi, M. Siadat, and S. Balasubramanian, “Meat quality assessment by electronic nose (Machine Olfaction Technology),” Sensors, vol. 9, no. 8, pp. 6058– 6083, 2009.

M. Trincavelli, S. Coradeschi, A. Loutfi, B. Soderquist, and P. Thunberg, “Direct identification of bacteria in blood culture samples using an electronic nose,” IEEE Trans. Biomed. Eng., 2010.

N. Yusuf, M. I. Omar, and A. Zakaria, “Diagnosis of Bacteria for Diabetic Foot Infection using Electronic Nose Technology,” pp. 114– 118, 2013.

A. D. Wilson, “Advances in Electronic - Nose Technologies for the Detection of Volatile Biomarker Metabolites in the Human Breath,” 2015.

L. Zhang, F. Tian, and G. Pei, “A novel sensor selection using pattern recognition in electronic nose,” Measurement, vol. 54, pp. 31–39, 2014.

M. B. Banerjee and T. Nandy, “Multivariate Preprocessing Techniques Towards Optimising Response of Fused Sensor from Electronic Nose and Electronic Tongue,” pp. 949–954, 2016.

M. Sharma, “International Journal of Advanced Research in Computer Science and Software Engineering Generalized K-Nearest Neighbour Algorithm- A Predicting Tool,” vol. 3, no. 11, pp. 1–4, 2013.

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Published

2018-05-31

How to Cite

Zulkifli, S. A., Mohamad, C. W. S. R., & Abdullah, A. H. (2018). Identification of Human Pathogen in Nutrient Culture Media using an Electronic Nose. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-17), 57–60. Retrieved from https://jtec.utem.edu.my/jtec/article/view/4166

Issue

Vol. 10 No. 1-17: Recent Trends in Biomedical Engineering Systems and Technologies II

Section

Articles

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