Cargando…

An optimized SPE-LC-MS/MS method for antibiotics residue analysis in ground, surface and treated water samples by response surface methodology- central composite design

BACKGROUND: Antibiotic residues are being constantly identified in environmental waters at low concentration. Growing concern has been expressed over the adverse environmental and human health effects even at low concentration. Hence, it is crucial to develop a multi-residues analytical method for a...

Descripción completa

Detalles Bibliográficos
Autores principales: Mirzaei, Roya, Yunesian, Masoud, Nasseri, Simin, Gholami, Mitra, Jalilzadeh, Esfandiyar, Shoeibi, Shahram, Bidshahi, Hooshang Shafieyan, Mesdaghinia, Alireza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5646162/
https://www.ncbi.nlm.nih.gov/pubmed/29075502
http://dx.doi.org/10.1186/s40201-017-0282-2
_version_ 1783272036614799360
author Mirzaei, Roya
Yunesian, Masoud
Nasseri, Simin
Gholami, Mitra
Jalilzadeh, Esfandiyar
Shoeibi, Shahram
Bidshahi, Hooshang Shafieyan
Mesdaghinia, Alireza
author_facet Mirzaei, Roya
Yunesian, Masoud
Nasseri, Simin
Gholami, Mitra
Jalilzadeh, Esfandiyar
Shoeibi, Shahram
Bidshahi, Hooshang Shafieyan
Mesdaghinia, Alireza
author_sort Mirzaei, Roya
collection PubMed
description BACKGROUND: Antibiotic residues are being constantly identified in environmental waters at low concentration. Growing concern has been expressed over the adverse environmental and human health effects even at low concentration. Hence, it is crucial to develop a multi-residues analytical method for antibiotics to generate a considerable dataset which are necessary in the assessment of aquatic toxicity of environmental waters for aquatic organisms and human health. This work aimed to develop a reliable and sensitive multi-residue method based on high performance liquid chromatography coupled with quadrupole-linear ion trap tandem mass spectrometry (HPLC-MS-MS). The method was optimized and validated for simultaneous determination of four classes of antibiotics including, β-lactam, macrolide, fluoroquinolone and nitro-imidazole in treated, ground and surface water matrices. METHODS: In order to optimize the solid phase extraction process, main parameters influencing the extraction process including, pH, the volume of elution solvent and the amount of Na(4)EDTA were evaluated. The optimization of extraction process was carried out by response surface methodology using central composite design. Analysis of variance was performed for nine target antibiotics using response surface methodology. RESULTS: The extraction recoveries were found to be sensitive to the independent variables of pH, the volume of elution solvent and the amount of Na(4)EDTA. The extraction process was pH-dependent and pH was a significant model term in the extraction process of all target antibiotics. Method validation was performed in optimum operation conditions in which the recoveries were obtained in the range of 50–117% for seven antibiotics in spiked treated and ground water samples and for six antibiotics in spiked river water samples. Method validation parameters in terms of method detection limit were obtained in the range of 1–10 ng/L in treated water, 0.8–10 ng/L in the ground water and 0.8–25 ng/L in river water, linearity varied from 0.95 to 0.99 and repeatability in term of relative standard deviation values was achieved less than 10% with the exception for metronidazole and ceftriaxone. The developed method was applied to the analysis of target antibiotics in treated, ground and surface water samples. CONCLUSIONS: Target antibiotics were analyzed in different water matrices including treated, ground and river water. Seven out of nine antibiotics were detected in Kan River and Firozabad Ditch water samples, although none of them were detected in treated water and ground water samples. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40201-017-0282-2) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5646162
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-56461622017-10-26 An optimized SPE-LC-MS/MS method for antibiotics residue analysis in ground, surface and treated water samples by response surface methodology- central composite design Mirzaei, Roya Yunesian, Masoud Nasseri, Simin Gholami, Mitra Jalilzadeh, Esfandiyar Shoeibi, Shahram Bidshahi, Hooshang Shafieyan Mesdaghinia, Alireza J Environ Health Sci Eng Research Article BACKGROUND: Antibiotic residues are being constantly identified in environmental waters at low concentration. Growing concern has been expressed over the adverse environmental and human health effects even at low concentration. Hence, it is crucial to develop a multi-residues analytical method for antibiotics to generate a considerable dataset which are necessary in the assessment of aquatic toxicity of environmental waters for aquatic organisms and human health. This work aimed to develop a reliable and sensitive multi-residue method based on high performance liquid chromatography coupled with quadrupole-linear ion trap tandem mass spectrometry (HPLC-MS-MS). The method was optimized and validated for simultaneous determination of four classes of antibiotics including, β-lactam, macrolide, fluoroquinolone and nitro-imidazole in treated, ground and surface water matrices. METHODS: In order to optimize the solid phase extraction process, main parameters influencing the extraction process including, pH, the volume of elution solvent and the amount of Na(4)EDTA were evaluated. The optimization of extraction process was carried out by response surface methodology using central composite design. Analysis of variance was performed for nine target antibiotics using response surface methodology. RESULTS: The extraction recoveries were found to be sensitive to the independent variables of pH, the volume of elution solvent and the amount of Na(4)EDTA. The extraction process was pH-dependent and pH was a significant model term in the extraction process of all target antibiotics. Method validation was performed in optimum operation conditions in which the recoveries were obtained in the range of 50–117% for seven antibiotics in spiked treated and ground water samples and for six antibiotics in spiked river water samples. Method validation parameters in terms of method detection limit were obtained in the range of 1–10 ng/L in treated water, 0.8–10 ng/L in the ground water and 0.8–25 ng/L in river water, linearity varied from 0.95 to 0.99 and repeatability in term of relative standard deviation values was achieved less than 10% with the exception for metronidazole and ceftriaxone. The developed method was applied to the analysis of target antibiotics in treated, ground and surface water samples. CONCLUSIONS: Target antibiotics were analyzed in different water matrices including treated, ground and river water. Seven out of nine antibiotics were detected in Kan River and Firozabad Ditch water samples, although none of them were detected in treated water and ground water samples. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40201-017-0282-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-10-17 /pmc/articles/PMC5646162/ /pubmed/29075502 http://dx.doi.org/10.1186/s40201-017-0282-2 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Mirzaei, Roya
Yunesian, Masoud
Nasseri, Simin
Gholami, Mitra
Jalilzadeh, Esfandiyar
Shoeibi, Shahram
Bidshahi, Hooshang Shafieyan
Mesdaghinia, Alireza
An optimized SPE-LC-MS/MS method for antibiotics residue analysis in ground, surface and treated water samples by response surface methodology- central composite design
title An optimized SPE-LC-MS/MS method for antibiotics residue analysis in ground, surface and treated water samples by response surface methodology- central composite design
title_full An optimized SPE-LC-MS/MS method for antibiotics residue analysis in ground, surface and treated water samples by response surface methodology- central composite design
title_fullStr An optimized SPE-LC-MS/MS method for antibiotics residue analysis in ground, surface and treated water samples by response surface methodology- central composite design
title_full_unstemmed An optimized SPE-LC-MS/MS method for antibiotics residue analysis in ground, surface and treated water samples by response surface methodology- central composite design
title_short An optimized SPE-LC-MS/MS method for antibiotics residue analysis in ground, surface and treated water samples by response surface methodology- central composite design
title_sort optimized spe-lc-ms/ms method for antibiotics residue analysis in ground, surface and treated water samples by response surface methodology- central composite design
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5646162/
https://www.ncbi.nlm.nih.gov/pubmed/29075502
http://dx.doi.org/10.1186/s40201-017-0282-2
work_keys_str_mv AT mirzaeiroya anoptimizedspelcmsmsmethodforantibioticsresidueanalysisingroundsurfaceandtreatedwatersamplesbyresponsesurfacemethodologycentralcompositedesign
AT yunesianmasoud anoptimizedspelcmsmsmethodforantibioticsresidueanalysisingroundsurfaceandtreatedwatersamplesbyresponsesurfacemethodologycentralcompositedesign
AT nasserisimin anoptimizedspelcmsmsmethodforantibioticsresidueanalysisingroundsurfaceandtreatedwatersamplesbyresponsesurfacemethodologycentralcompositedesign
AT gholamimitra anoptimizedspelcmsmsmethodforantibioticsresidueanalysisingroundsurfaceandtreatedwatersamplesbyresponsesurfacemethodologycentralcompositedesign
AT jalilzadehesfandiyar anoptimizedspelcmsmsmethodforantibioticsresidueanalysisingroundsurfaceandtreatedwatersamplesbyresponsesurfacemethodologycentralcompositedesign
AT shoeibishahram anoptimizedspelcmsmsmethodforantibioticsresidueanalysisingroundsurfaceandtreatedwatersamplesbyresponsesurfacemethodologycentralcompositedesign
AT bidshahihooshangshafieyan anoptimizedspelcmsmsmethodforantibioticsresidueanalysisingroundsurfaceandtreatedwatersamplesbyresponsesurfacemethodologycentralcompositedesign
AT mesdaghiniaalireza anoptimizedspelcmsmsmethodforantibioticsresidueanalysisingroundsurfaceandtreatedwatersamplesbyresponsesurfacemethodologycentralcompositedesign
AT mirzaeiroya optimizedspelcmsmsmethodforantibioticsresidueanalysisingroundsurfaceandtreatedwatersamplesbyresponsesurfacemethodologycentralcompositedesign
AT yunesianmasoud optimizedspelcmsmsmethodforantibioticsresidueanalysisingroundsurfaceandtreatedwatersamplesbyresponsesurfacemethodologycentralcompositedesign
AT nasserisimin optimizedspelcmsmsmethodforantibioticsresidueanalysisingroundsurfaceandtreatedwatersamplesbyresponsesurfacemethodologycentralcompositedesign
AT gholamimitra optimizedspelcmsmsmethodforantibioticsresidueanalysisingroundsurfaceandtreatedwatersamplesbyresponsesurfacemethodologycentralcompositedesign
AT jalilzadehesfandiyar optimizedspelcmsmsmethodforantibioticsresidueanalysisingroundsurfaceandtreatedwatersamplesbyresponsesurfacemethodologycentralcompositedesign
AT shoeibishahram optimizedspelcmsmsmethodforantibioticsresidueanalysisingroundsurfaceandtreatedwatersamplesbyresponsesurfacemethodologycentralcompositedesign
AT bidshahihooshangshafieyan optimizedspelcmsmsmethodforantibioticsresidueanalysisingroundsurfaceandtreatedwatersamplesbyresponsesurfacemethodologycentralcompositedesign
AT mesdaghiniaalireza optimizedspelcmsmsmethodforantibioticsresidueanalysisingroundsurfaceandtreatedwatersamplesbyresponsesurfacemethodologycentralcompositedesign