Methodology for the bacteria detection in drinking water through an e-nose and e-tongue
DOI:
https://doi.org/10.17981/ingecuc.17.1.2021.13Keywords:
E. coli, drinking water, electronic nose, electronic tongue, data processingAbstract
Introduction: The evaluation of water quality remains a challenge for public health institutions today. One of the most abundant bacteria and the one that is mainly related with the sanitary risk of water is Escherichia coli (E. coli). The incidence of this bacteria shows that there is an increased risk of the presence of other bacteria and viruses of fecal origin, many of which are pathogenic. Nowadays, standardized and regulated conventional techniques are used for the detection of E. coli in water. These techniques require at least 24-28 hours of incubation for detection; in addition to require reagents and qualified personnel, among other requirements.
Objective: This article presents an analysis of the ability of the sensory perception systems (e-nose and e-tongue) to determine and discriminate E. coli from other related bacteria in water samples.
Methodology: To verify discrimination between bacteria, water samples contaminated with three bacteria were prepared: E. coli, Klebsiella oxytoca and Pseudomonas aeruginosa. Sterilized drinking water was used as a negative control. On the other hand, to evaluate the potential of the systems under study for the detection of E. coli in drinking water, water samples from the drinking water treatment plant (DWTP) of the municipality of Toledo (N. S) were analyzed. For this, the microbiological membrane filtration method was used as reference in this study.
Results: The water samples discrimination was carried out through the Principal Components Analysis (PCA), reaching 97.6% of variance captured through the electronic nose. On the other hand, with the electronic tongue, the discrimination of the bacteria was 99.4% variation in the data set, obtaining a similar response with both methods.
Conclusions: The results confirmed that the methodology allowed an effective evaluation between the contaminated samples and control samples. It is obtained a good discrimination of the categories for the samples acquired from the water treatment plant.
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References
S. Rios-Tobón, R. M. Agudelo-Cadavid & L. A. Gutiérrez-Builes, “Patógenos e indicadores microbiológicos de calidad del agua para consumo humano,” Rev Fac Nac Salud Pública, vol. 35, no. 2, pp. 236–247, 2017. https://doi.org/10.17533/udea.rfnsp.v35n2a08
C. M. McEntegart, W. R. Penrose, S. Strathmann & J. R. Stettera, “ Detection and discrimination of coliform bacteria with gas sensor arrays,” Sens Actuators B Chem, vol. 2000, pp. 106s–116s, 2012.https://doi.org/10.1016/S0925-4005(00)00561-X
J. L. Herrero, J. Lozano, J. P. Santos & J. I. Suárez, “On-line classification of pollutants in water using wireless portable electronic noses,” Chemosphere, vol. 152, pp. 107–116, Jun. 2016. https://doi.org/10.1016/j.chemosphere.2016.02.106
B. Lange, M. Strathmann & R. Oßmer, “Performance validation of chromogenic coliform agar for the enumeration of Escherichia coli and coliform bacteria,” Lett Appl Microbiol, vol. 57, no. 6 , pp. 547–553, Aug. 2013. https://doi.org/10.1111/lam.12147
N. Krishnamurthy, B.S. Supreetha, M. Deccaraman & N. Vijayashree, “E-Nose System to Detect E-Coli in Drinking Water of Udupi District,” Int J Eng Res, vol. 1, no. 12, pp. 58–64, 2012. Available: http://www.ijerd.com/paper/vol1-issue12/H01125864.pdf
J. L. Herrero, J. Lozano, J. P. Santos & J. I. Suarez, “On-line classification of pollutants in water using wireless portable electronic noses,” Chemosphere, vol. 152, pp. 107–116, Jun. 2016. Available: https://ui.adsabs.harvard.edu/abs/2016Chmsp.152..107H/abstract
I. Campos, M. Alcañiza, D. Aguado, R. Barat, J. Ferrer, L. Gil, M. Marrakchi, R. Martínez-Mañeza, J. Soto, J. L. Vivancos, “A voltammetric electronic tongue as tool for water quality monitoring in wastewater treatment plants,” Water Res, vol. 46, no. 8, pp. 2605–2614, May. 2012. https://doi.org/10.1016/j.watres.2012.02.029
G. Comina, M. Nissfolk & J. Solis, “Development of a Portable Water Quality Analyzer,” Sen Transducers, vol. 119, no. 8, pp. 72–81, Aug. 2010. Available: https://www.researchgate.net/publication/316256844_Development_of_a_Portable_Water_Quality_Analyzer
J. C. Rodríguez & C. M. Duran, “Sistema de olfato electrónico para la detección de compuestos volátiles,” RCTA, vol. 2, no. 12, pp. 1692–7257, 2008. Available: http://www.unipamplona.edu.co/unipamplona/portalIG/home_40/recursos/02_v07_12/revista_12/16112011/v12_04.pdf
C. Söderström, F. Winquist & C. Krantz-Rülcker, “Recognition of six microbial species with an electronic tongue,” Sensor Actuat B-Chem, vol. 89, no. 13, pp. 248–255, Apr. 2003. https://doi.org/10.1016/S0925-4005(02)00474-4
F. Winquist, J. Olsson & M. Eriksson, “Multicomponent analysis of drinking water by a voltammetric electronic tongue,” Anal Chim Acta, vol. 683, no. 2, pp. 192–197, Jan. 2010. https://doi.org/10.1016/j.aca.2010.10.027
J. K. Carrillo, C. M. Durán & R. O. García , “Bacterial discrimination of drinking water through of an electronic nose and a volatiles extraction equipment,” RCTA, vol.1, no. 33, pp. 155–165, Sep. 2019.https://doi.org/10.24054/16927257.v33.n33.2019.3335
B. Austin, “The value of cultures to modern microbiology,” Antonie Van Leeuwenhoek, vol. 110, no. 10, pp. 1247–1256, Oct. 2017. https://doi.org/10.1007/s10482-017-0840-8
A. M. Sousa & M. O. Pereira, “A prospect of current microbial diagnosis methods,” STE, vol. 3, pp. 1429–1438, 2013. Available: http://hdl.handle.net/1822/33030
A. van Belkum, G. Durand, M. Peyret, S. Chatellier, G. Zambardi, J. Schrenzel, D. Shortridge, A. Engelhardt & W. M. Dunne Jr., “Rapid clinical bacteriology and its future impact,” Ann Lab Med, vol. 33, no. 1, pp. 14–27, Jan. 2013. https://doi.org/10.3343/alm.2013.33.1.14
J. J. Hirvonen, A. Siitonen & S.-S. Kaukoranta, “Usability and Performance of CHROMagar STEC Medium in Detection of Shiga Toxin-Producing Escherichia coli Strains,” J Clin Microbiol, vol. 50, no. 11, pp. 3586–3590, Nov. 2015. https://doi.org/10.1128/JCM.01754-12
J.-S. Kim, N. Chowdhury, R. Yamasaki & T. K. Wood, “Viable but non-culturable and persistence describe the same bacterial stress state,” Environ Microbiol, vol. 20, no. 6, pp. 2038–2048, Jun., 2018. https://doi.org/10.1111/1462-2920.14075
P. Hernández, “Métodos cromatográficos aplicados al análisis de aguas de consumo y residuales,” M.S. Thesis, dpto Cienc Anal, UNED. Madrid, ES, 2018. Available: http://e-spacio.uned.es/fez/eserv/bibliuned:master-Ciencias-CyTQ-Prohner/Rohner_Hernandez_Pablo_TFM.pdf
C.-T. Chen, J.-W. Yu & Y.-P. Ho, “Identification of bacteria in juice/lettuce using magnetic nanoparticles and selected reaction monitoring mass spectrometry,” J Food Drug Anal, vol. 27, no. 2, pp. 575–584, Apr. 2019. https://doi.org/10.1016/j.jfda.2018.09.006
O. Canhoto & N. Magan, “Electronic nose technology for the detection of microbial and chemical contamination of potable water,” Sens Actuators B Chem, vol. 106, no. 1, pp. 3–6, Apr. 29, 2005. https://doi.org/10.1016/j.snb.2004.05.029
S. Schulz & J. S. Dickschat, “Bacterial volatiles: The smell of small organisms,” Nat Prod Rep, no. 24, pp. 814–842, 2007. https://doi.org/10.1039/b507392h
K. Tiwari, S. Biswas, B. Tudu, R. Bandhopadhyay & P. Pramanik, “Development of metal oxide-modified carbon paste based sensor for honey analysis using electronic tongue,” Mater Today: Proc, vol. 4, no. 9, pp. 9500–9504, Mar., 2017. https://doi.org/10.1016/j.matpr.2017.06.212
O. E. Gualdrón, C. M. Durán, J. E. Ortiz & J. A. Araque, “Implementacion de un modelo neuronal en un dispositivo hardware (FPGA) para la clasificacion de compuestos químicos en un sistema multisensorial (nariz electrónica),” RCTA, vol. 2, no. 24, pp. 127–133, Aug. 2004. Disponible en http://revistas.unipamplona.edu.co/ojs_viceinves/index.php/RCTA/article/view/2347
M. C. Lemfack, B.-O. Gohlke, S. M. T. Toguem, S. Preissner, B. Piechulla & R. Preissner, “mVOC 2.0: a database of microbial volatiles,” Nucleic Acids Res, no. 46, no. D1, pp. D1261–D1265, Jan. 4, 2018. https://doi.org/10.1093/nar/gkx1016
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