Electronic Nose-Based Classification of Breath Odor in Fasting and Non-Fasting Individuals Using Principal Component Analysis
DOI:
10.29303/jppipa.v12i6.14994Published:
2026-06-25Downloads
Abstract
Breath odor contains volatile compounds that can reflect the body’s metabolic condition, including those associated with fasting. This study aims to classify breath odor patterns in fasting and non-fasting individuals using an electronic nose (e-nose) combined with the Principal Component Analysis (PCA) method. The e-nose system was developed using an array of five MQ gas sensors (MQ-2, MQ-3, MQ-4, MQ-5, and MQ-6) to detect breath samples from 100 respondents, consisting of 50 fasting and 50 non-fasting individuals. The sensor responses were recorded and analyzed using PCA for dimensionality reduction and data pattern visualization. The results show that the first two principal components account for 81.2% of the total data variance, with contributions of 56.1% from PC1 and 25.1% from PC2. The PCA score plot demonstrates a relatively clear separation between the breath odor patterns of the fasting and non-fasting groups. These findings indicate that the developed e-nose system has potential as a rapid and non-invasive method for breath-based classification.
Keywords:
E-Nose Gas sensor Pattern classification PCAReferences
Balcerczyk, A., Damblon, C., Elena-Herrmann, B., Panthu, B., & Rautureau, G. J. P. (2020). Metabolomic approaches to study chemical exposure-related metabolism alterations in mammalian cell cultures. International Journal of Molecular Sciences, 21(18), 1–22. https://doi.org/10.3390/ijms21186843 DOI: https://doi.org/10.3390/ijms21186843
Batushansky, A., Matsuzaki, S., Newhardt, M. F., West, M. S., Griffin, T. M., & Humphries, K. M. (2019). GC–MS metabolic profiling reveals fructose-2,6-bisphosphate regulates branched chain amino acid metabolism in the heart during fasting. Metabolomics, 15(2). https://doi.org/10.1007/s11306-019-1478-5 DOI: https://doi.org/10.1007/s11306-019-1478-5
Cetó, X., Gutiérrez-Capitán, M., Calvo, D., & del Valle, M. (2013). Beer classification by means of a potentiometric electronic tongue. Food Chemistry, 141(3), 2533–2540. https://doi.org/10.1016/j.foodchem.2013.05.091 DOI: https://doi.org/10.1016/j.foodchem.2013.05.091
Chapman, J., Truong, V. K., Elbourne, A., Gangadoo, S., Cheeseman, S., Rajapaksha, P., Latham, K., Crawford, R. J., & Cozzolino, D. (2020). Combining Chemometrics and Sensors: Toward New Applications in Monitoring and Environmental Analysis. Chemical Reviews, 120(13), 6048–6069. https://doi.org/10.1021/acs.chemrev.9b00616 DOI: https://doi.org/10.1021/acs.chemrev.9b00616
Dang, L., Tian, F., Zhang, L., Kadri, C., Yin, X., Peng, X., & Liu, S. (2014). A novel classifier ensemble for recognition of multiple indoor air contaminants by an electronic nose. Sensors and Actuators A: Physical, 207, 67–74. https://doi.org/10.1016/j.sna.2013.12.029 DOI: https://doi.org/10.1016/j.sna.2013.12.029
Freddi, S., & Sangaletti, L. (2022). Trends in the Development of Electronic Noses Based on Carbon Nanotubes Chemiresistors for Breathomics. Nanomaterials, 12(17). https://doi.org/10.3390/nano12172992 DOI: https://doi.org/10.3390/nano12172992
Hu, W., Wan, L., Jian, Y., Ren, C., Jin, K., Su, X., Bai, X., Haick, H., Yao, M., & Wu, W. (2019). Electronic Noses: From Advanced Materials to Sensors Aided with Data Processing. Advanced Materials Technologies, 4(2), 1800488. https://doi.org/10.1002/admt.201800488 DOI: https://doi.org/10.1002/admt.201800488
Kim, C., Lee, K. K., Kang, M. S., Shin, D. M., Oh, J. W., Lee, C. S., & Han, D. W. (2022). Artificial olfactory sensor technology that mimics the olfactory mechanism: a comprehensive review. Biomaterials Research, 26(1). https://doi.org/10.1186/s40824-022-00287-1 DOI: https://doi.org/10.1186/s40824-022-00287-1
Lépine, G., Tremblay-Franco, M., Bouder, S., Dimina, L., Fouillet, H., Mariotti, F., & Polakof, S. (2022). Investigating the Postprandial Metabolome after Challenge Tests to Assess Metabolic Flexibility and Dysregulations Associated with Cardiometabolic Diseases. Nutrients, 14(3). https://doi.org/10.3390/nu14030472 DOI: https://doi.org/10.3390/nu14030472
Muhammad, A. (2020). Potensi Electronic Nose (E-Nose) Berbasis Sensor Gas untuk Mendeteksi Bakteri Salmonella Typhi pada Ikan Tuna (Thunnus Thynnus) dengan Metode Principal. Retrieved from https://repository.unair.ac.id/108200/
Nurjuliana, M., Che Man, Y. B., & Mat Hashim, D. (2011). Analysis of Lard’s Aroma by an Electronic Nose for Rapid Halal Authentication. Journal of the American Oil Chemists’ Society, 88(1), 75–82. https://doi.org/10.1007/s11746-010-1655-1 DOI: https://doi.org/10.1007/s11746-010-1655-1
Oh, J. H. (2024). A Pattern Recognition Artificial Olfactory System Based on Human Olfactory Receptors and Organic Synaptic Devices. https://doi.org/10.29363/nanoge.matsus.2024.013 DOI: https://doi.org/10.29363/nanoge.matsus.2024.013
Peng, L., Zou, H.-Q., Bauer, R., Liu, Y., Tao, O., Yan, S.-R., Han, Y., Li, J.-H., Ren, Z.-Y., & Yan, Y.-H. (2014). Identification of Chinese Herbal Medicines from Zingiberaceae Family Using Feature Extraction and Cascade Classifier Based on Response Signals from E‐Nose. Evidence-Based Complementary and Alternative Medicine, 2014(1). https://doi.org/10.1155/2014/963035 DOI: https://doi.org/10.1155/2014/963035
Qin, Z., Pang, X., Chen, D., Cheng, H., Hu, X., & Wu, J. (2013). Evaluation of Chinese tea by the electronic nose and gas chromatography–mass spectrometry: Correlation with sensory properties and classification according to grade level. Food Research International, 53(2), 864–874. https://doi.org/10.1016/j.foodres.2013.02.005 DOI: https://doi.org/10.1016/j.foodres.2013.02.005
Rabehi, A., Helal, H., Zappa, D., & Comini, E. (2024). Advancements and Prospects of Electronic Nose in Various Applications: A Comprehensive Review. Applied Sciences (Switzerland), 14(11). https://doi.org/10.3390/app14114506 DOI: https://doi.org/10.3390/app14114506
Rosyad, F., & Lenono, D. (2016). Klasifikasi Kemurnian Daging Sapi Berbasis Electronic Nose dengan Metode Principal Component Analysis. IJEIS (Indonesian Journal of Electronics and Instrumentation Systems), 6(1), 47. https://doi.org/10.22146/ijeis.10770 DOI: https://doi.org/10.22146/ijeis.10770
Santos, B. G., Gonçalves, J. M., Rocha, D. P., Higino, G. S., Yadav, T. P., Pedrotti, J. J., Ajayan, P. M., & Angnes, L. (2022). Electrochemical sensor for isoniazid detection by using a WS2/CNTs nanocomposite. Sensors and Actuators Reports, 4, 100073. https://doi.org/10.1016/j.snr.2021.100073 DOI: https://doi.org/10.1016/j.snr.2021.100073
Shingne, N. (2019). E-Nose and Its Application. Retrieved from https://www.academia.edu/69308448/E_Nose_and_Its_Application
Tazi, I., Ainur, A., Purwaningrum, E., Harini, S., Muthmainnah, & Falah, F. (2019). Design and testing of electronic nose for determining the pattern of bad breath classification in patients with diabetes mellitus and pulmonary tuberculosis (TBC). AIP Conference Proceedings, 2120, 50004. https://doi.org/10.1063/1.5115680 DOI: https://doi.org/10.1063/1.5115680
Xu, L., Yu, X., Liu, L., & Zhang, R. (2016). A novel method for qualitative analysis of edible oil oxidation using an electronic nose. Food Chemistry, 202, 229–235. https://doi.org/10.1016/j.foodchem.2016.01.144 DOI: https://doi.org/10.1016/j.foodchem.2016.01.144
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