Methodology for the bacteria detection in drinking water through an e-nose and e-tongue
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...
- Autores:
-
Carrillo Gómez, Jeniffer Katerine
DURÁN ACEVEDO, CRISTHIAN MANUEL
Garcia-Rico, Ramon Ovidio
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2021
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
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- oai:repositorio.cuc.edu.co:11323/10300
- Acceso en línea:
- https://hdl.handle.net/11323/10300
https://repositorio.cuc.edu.co/
- Palabra clave:
- E. coli
Drinking water
Electronic nose
Electronic tongue
Data processing
Lengua electrónica
Procesamiento de datos
Agua potable
Nariz electrónica
- Rights
- openAccess
- License
- Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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Methodology for the bacteria detection in drinking water through an e-nose and e-tongue |
| dc.title.translated.none.fl_str_mv |
Metodología para la detección de bacterias en el agua potable a través de una nariz electrónica y lengua electrónica |
| title |
Methodology for the bacteria detection in drinking water through an e-nose and e-tongue |
| spellingShingle |
Methodology for the bacteria detection in drinking water through an e-nose and e-tongue E. coli Drinking water Electronic nose Electronic tongue Data processing Lengua electrónica Procesamiento de datos Agua potable Nariz electrónica |
| title_short |
Methodology for the bacteria detection in drinking water through an e-nose and e-tongue |
| title_full |
Methodology for the bacteria detection in drinking water through an e-nose and e-tongue |
| title_fullStr |
Methodology for the bacteria detection in drinking water through an e-nose and e-tongue |
| title_full_unstemmed |
Methodology for the bacteria detection in drinking water through an e-nose and e-tongue |
| title_sort |
Methodology for the bacteria detection in drinking water through an e-nose and e-tongue |
| dc.creator.fl_str_mv |
Carrillo Gómez, Jeniffer Katerine DURÁN ACEVEDO, CRISTHIAN MANUEL Garcia-Rico, Ramon Ovidio |
| dc.contributor.author.none.fl_str_mv |
Carrillo Gómez, Jeniffer Katerine DURÁN ACEVEDO, CRISTHIAN MANUEL Garcia-Rico, Ramon Ovidio |
| dc.subject.proposal.eng.fl_str_mv |
E. coli Drinking water Electronic nose Electronic tongue Data processing Lengua electrónica Procesamiento de datos |
| topic |
E. coli Drinking water Electronic nose Electronic tongue Data processing Lengua electrónica Procesamiento de datos Agua potable Nariz electrónica |
| dc.subject.proposal.spa.fl_str_mv |
Agua potable Nariz electrónica |
| description |
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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J. Carrillo Gómez, C. Durán Acevedo & R. García Rico, “Methodology for the bacteria detection in drinking water through an e-nose and e-tongue”, INGECUC, vol. 17. no. 1, pp. 165–173. DOI: http://doi.org/10.17981/ingecuc.17.1.2021.13 |
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J. Carrillo Gómez, C. Durán Acevedo & R. García Rico, “Methodology for the bacteria detection in drinking water through an e-nose and e-tongue”, INGECUC, vol. 17. no. 1, pp. 165–173. DOI: http://doi.org/10.17981/ingecuc.17.1.2021.13 0122-6517 10.17981/ingecuc.17.1.2021.13 2382-4700 Corporación Universidad de la Costa REDICUC - Repositorio CUC |
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[1] 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 [2] 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 [3] 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 [4] 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 [5] N. Krishnamurthy, B.S. Supreetha, M. Deccaraman & N. Vijayashree, “E-Nose System to Detect EColi 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 [6] 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 [7] 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 [8] 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 [9] 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 [10] 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 [11] 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 [12] 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 [13] 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 [14] 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 [15] 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 [16] 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 [17] 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 [18] 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 [19] 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 [20] 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 [21] 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 [22] 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 [23] 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 [24] 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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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)Derechos de autor 2021 INGE CUChttps://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Carrillo Gómez, Jeniffer KaterineDURÁN ACEVEDO, CRISTHIAN MANUELGarcia-Rico, Ramon Ovidio2023-07-07T19:13:58Z2023-07-07T19:13:58Z2021J. Carrillo Gómez, C. Durán Acevedo & R. García Rico, “Methodology for the bacteria detection in drinking water through an e-nose and e-tongue”, INGECUC, vol. 17. no. 1, pp. 165–173. DOI: http://doi.org/10.17981/ingecuc.17.1.2021.130122-6517https://hdl.handle.net/11323/1030010.17981/ingecuc.17.1.2021.132382-4700Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/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.Introducción— La evaluación de la calidad del agua sigue siendo un desafío para las instituciones de salud pública en la actualidad. Una de las bacterias más abundantes y que se asocia principalmente con el riesgo sanitario del agua es Escherichia coli (E. coli). La incidencia de esta bacteria indica que existe un mayor riesgo de la presencia de otras bacterias y virus de origen fecal, muchos de los cuales son patógenos. Hoy en día, para la detección de E. coli en agua, se utilizan técnicas convencionales estandarizadas y reguladas. Estas técnicas requieren al menos 24-28 horas de incubación para la detección; además de requerir reactivos y personal calificado, entre otros requerimientos. Objetivo— Este artículo presenta un análisis de la capacidad de los sistemas de percepción sensorial (e-nose y e-tongue) para determinar y discriminar E. coli de otras bacterias relacionada en muestras de agua. Metodología— Para verificar la discriminación entre bacterias, se prepararon muestras de agua contaminadas con tres bacterias: E. coli, Klebsiella oxytoca y Pseudomonas aeruginosa. Como control negativo se usó agua potable esterilizada. De otra parte, para evaluar el potencial de los sistemas en estudio para la detección de E. coli en agua potable, se analizaron muestras de agua procedentes de la planta de tratamiento de agua potable (DWTP) del municipio de Toledo (N. S). Para ello, el método microbiológico usado como referencia fue el de filtración por membrana. Resultados— La discriminación de las muestras de agua se realizó mediante el Análisis de Componentes Principales (PCA), alcanzando el 97.6% de la varianza capturada a través de la nariz electrónica. Por otro lado, con la lengua electrónica, la discriminación de la bacteria fue una variación del 99.4% en el conjunto de datos, obteniendo una respuesta similar con ambos métodos. Conclusiones— Los resultados demostraron que la metodología propuesta permitió una evaluación efectiva entre las muestras contaminadas y las muestras de control. Se observa una excelente discriminación de las categorías para las muestras obtenidas de la planta de tratamiento de agua potable.12 páginasapplication/pdfengCorporación Universidad de la CostaColombiahttps://revistascientificas.cuc.edu.co/ingecuc/article/view/2704Methodology for the bacteria detection in drinking water through an e-nose and e-tongueMetodología para la detección de bacterias en el agua potable a través de una nariz electrónica y lengua electrónicaArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85INGE CUC[1] 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[2] 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[3] 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[4] 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[5] N. Krishnamurthy, B.S. Supreetha, M. Deccaraman & N. Vijayashree, “E-Nose System to Detect EColi 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[6] 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[7] 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[8] G. Comina, M. Nissfolk & J. Solis, “Development of a Portable Water Quality Analyzer,” Sen Transducers, vol. 119, no. 8, pp. 72–81, Aug. 2010. 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D1, pp. D1261–D1265, Jan. 4, 2018. https://doi.org/10.1093/nar/gkx1016176165117E. coliDrinking waterElectronic noseElectronic tongueData processingLengua electrónicaProcesamiento de datosAgua potableNariz electrónicaPublicationORIGINALMetodología para la detección de bacterias en el agua potable a través de una nariz electrónica y lengua electrónica.pdfMetodología para la detección de bacterias en el agua potable a través de una nariz electrónica y lengua electrónica.pdfArtículoapplication/pdf1340300https://repositorio.cuc.edu.co/bitstreams/1e66817c-9fcd-4e27-9124-47952e6b5c49/downloadd11b534310e7bfa50142605adf214e5aMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.cuc.edu.co/bitstreams/873ed053-0ac5-4728-b1a5-ad34387d9076/download2f9959eaf5b71fae44bbf9ec84150c7aMD52TEXTMetodología para la detección de bacterias en el agua potable a través de una nariz electrónica y lengua electrónica.pdf.txtMetodología para la detección de bacterias en el agua potable a través de una nariz electrónica y lengua electrónica.pdf.txtExtracted texttext/plain45123https://repositorio.cuc.edu.co/bitstreams/583b7388-7d3e-4569-8bff-9cdde2dd128b/download1f6318ed1055593766ae849aea66853dMD53THUMBNAILMetodología para la detección de bacterias en el agua potable a través de una nariz electrónica y lengua electrónica.pdf.jpgMetodología para la detección de bacterias en el agua potable a través de una nariz electrónica y lengua electrónica.pdf.jpgGenerated Thumbnailimage/jpeg13832https://repositorio.cuc.edu.co/bitstreams/1b5869a3-463f-4df6-9641-3c031f2ceaf7/download82ce4017d733ad1d35c19432c3c249b6MD5411323/10300oai:repositorio.cuc.edu.co:11323/103002024-09-17 11:09:09.067https://creativecommons.org/licenses/by-nc-nd/4.0/Derechos de autor 2021 INGE CUCopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa 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ada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
 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