Environmental occurrence of the antibiotics and their ecotoxicological prediction through the use of the Gecotoxic ® computational program

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The exposure of antibiotics in water is an environmental concern where comprehensive methodologies are needed to signal early the probability of risk. The objective of the study was to describe the environmental occurrence of antibiotics and its predictive ecotoxicological through the Gecotoxic® com...

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Autor: Argota Pérez, George
Formato: artículo
Fecha de Publicación:2020
Institución:Universidad Nacional del Altiplano
Repositorio:Revista de Investigaciones Altoandinas
Lenguaje:español
OAI Identifier:oai:huajsapata.unap.edu.pe:article/68
Nivel de acceso:acceso abierto
Materia:water
antibiotic
fish
ecotoxicological prediction
agua
antibiótico
peces
predicción ecotoxicológica
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spelling Environmental occurrence of the antibiotics and their ecotoxicological prediction through the use of the Gecotoxic ® computational programOcurrencia ambiental de los antibióticos y su predicción ecotoxicológica mediante el uso del programa computacional Gecotoxic ®Argota Pérez, GeorgeArgota Pérez, Georgewaterantibioticfishecotoxicological predictionaguaantibióticopecespredicción ecotoxicológicaThe exposure of antibiotics in water is an environmental concern where comprehensive methodologies are needed to signal early the probability of risk. The objective of the study was to describe the environmental occurrence of antibiotics and its predictive ecotoxicological through the Gecotoxic® computer program. By non-probabilistic sampling for convenience, a scientific review article was selected assessing, the number of antibiotics and only ciprofloxacin; oxytetracycline, sulfamethoxazole, trimethoprim and erythromycin (out of 39) were represented on the four continents assessed: Africa, America, Asia-Pacific and Europe. Other studies considered the correlational limitation between bioassays, tax source characterization data, physical-chemical parameters and / or associated environmental matrix analyses. It was concluded that the ecotoxicology of antibiotics is predictable through the Gecotoxic® computational program, as it considers the medium toxicity bioassay test that was analyzed in the selected article.La exposición de los antibióticos en las aguas constituye una preocupación ambiental donde se necesita metodologías integrales para señalizar de forma temprana la probabilidad del riesgo. El objetivo del estudio fue describir la ocurrencia ambiental de los antibióticos y su predicción ecotoxicológica mediante el programa computacional Gecotoxic®. Mediante el muestreo no probabilístico por conveniencia se seleccionó un artículo científico de revisión valorándose, el número de antibióticos y solo la ciprofloxacina, oxitetraciclina, sulfametoxazol, trimetoprima y eritromicina (de 39) se representaron en los cuatro continentes evaluados: África, América, Asia-Pacífico y Europa. Se consideró con otros estudios la limitación correlacional entre los bioensayos, datos de caracterización de fuentes tributarias, parámetros físico-químicos y/o, análisis de matrices ambientales asociadas. Se concluyó que, la ecotoxicología de los antibióticos es predecible mediante el programa computacional Gecotoxic®, pues considera la propia prueba de bioensayo de toxicidad media que se analizó en el artículo seleccionado.Universidad Nacional del Altiplano2020-09-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdf//huajsapata.unap.edu.pe/index.php/ria/article/view/6810.18271/ria.2020.538Revista de Investigaciones Altoandinas - Journal of High Andean Research; Vol. 22 No. 1 (2020); 78-86Revista de Investigaciones Altoandinas - Journal of High Andean Research; Vol. 22 Núm. 1 (2020); 78-862306-85822313-2957reponame:Revista de Investigaciones Altoandinasinstname:Universidad Nacional del Altiplanoinstacron:UNAPspa//huajsapata.unap.edu.pe/index.php/ria/article/view/68/54Derechos de autor 2020 George Argota Pérezhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessoai:huajsapata.unap.edu.pe:article/682020-09-29T11:28:24Z
dc.title.none.fl_str_mv Environmental occurrence of the antibiotics and their ecotoxicological prediction through the use of the Gecotoxic ® computational program
Ocurrencia ambiental de los antibióticos y su predicción ecotoxicológica mediante el uso del programa computacional Gecotoxic ®
title Environmental occurrence of the antibiotics and their ecotoxicological prediction through the use of the Gecotoxic ® computational program
spellingShingle Environmental occurrence of the antibiotics and their ecotoxicological prediction through the use of the Gecotoxic ® computational program
Argota Pérez, George
water
antibiotic
fish
ecotoxicological prediction
agua
antibiótico
peces
predicción ecotoxicológica
title_short Environmental occurrence of the antibiotics and their ecotoxicological prediction through the use of the Gecotoxic ® computational program
title_full Environmental occurrence of the antibiotics and their ecotoxicological prediction through the use of the Gecotoxic ® computational program
title_fullStr Environmental occurrence of the antibiotics and their ecotoxicological prediction through the use of the Gecotoxic ® computational program
title_full_unstemmed Environmental occurrence of the antibiotics and their ecotoxicological prediction through the use of the Gecotoxic ® computational program
title_sort Environmental occurrence of the antibiotics and their ecotoxicological prediction through the use of the Gecotoxic ® computational program
dc.creator.none.fl_str_mv Argota Pérez, George
Argota Pérez, George
author Argota Pérez, George
author_facet Argota Pérez, George
author_role author
dc.subject.none.fl_str_mv water
antibiotic
fish
ecotoxicological prediction
agua
antibiótico
peces
predicción ecotoxicológica
topic water
antibiotic
fish
ecotoxicological prediction
agua
antibiótico
peces
predicción ecotoxicológica
description The exposure of antibiotics in water is an environmental concern where comprehensive methodologies are needed to signal early the probability of risk. The objective of the study was to describe the environmental occurrence of antibiotics and its predictive ecotoxicological through the Gecotoxic® computer program. By non-probabilistic sampling for convenience, a scientific review article was selected assessing, the number of antibiotics and only ciprofloxacin; oxytetracycline, sulfamethoxazole, trimethoprim and erythromycin (out of 39) were represented on the four continents assessed: Africa, America, Asia-Pacific and Europe. Other studies considered the correlational limitation between bioassays, tax source characterization data, physical-chemical parameters and / or associated environmental matrix analyses. It was concluded that the ecotoxicology of antibiotics is predictable through the Gecotoxic® computational program, as it considers the medium toxicity bioassay test that was analyzed in the selected article.
publishDate 2020
dc.date.none.fl_str_mv 2020-09-03
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv //huajsapata.unap.edu.pe/index.php/ria/article/view/68
10.18271/ria.2020.538
identifier_str_mv //huajsapata.unap.edu.pe/index.php/ria/article/view/68
10.18271/ria.2020.538
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv //huajsapata.unap.edu.pe/index.php/ria/article/view/68/54
dc.rights.none.fl_str_mv Derechos de autor 2020 George Argota Pérez
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2020 George Argota Pérez
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional del Altiplano
publisher.none.fl_str_mv Universidad Nacional del Altiplano
dc.source.none.fl_str_mv Revista de Investigaciones Altoandinas - Journal of High Andean Research; Vol. 22 No. 1 (2020); 78-86
Revista de Investigaciones Altoandinas - Journal of High Andean Research; Vol. 22 Núm. 1 (2020); 78-86
2306-8582
2313-2957
reponame:Revista de Investigaciones Altoandinas
instname:Universidad Nacional del Altiplano
instacron:UNAP
instname_str Universidad Nacional del Altiplano
instacron_str UNAP
institution UNAP
reponame_str Revista de Investigaciones Altoandinas
collection Revista de Investigaciones Altoandinas
repository.name.fl_str_mv
repository.mail.fl_str_mv
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