Literature DB >> 25706221

Wastewater analysis to monitor use of caffeine and nicotine and evaluation of their metabolites as biomarkers for population size assessment.

Ivan Senta1, Emma Gracia-Lor2, Andrea Borsotti2, Ettore Zuccato2, Sara Castiglioni3.   

Abstract

The use of caffeine, nicotine and some major metabolites was investigated by wastewater analysis in 13 sewage treatment plants (STPs) across Italy, and their suitability was tested as qualitative and quantitative biomarkers for assessing population size and dynamics. A specific analytical method based on mass spectrometry was developed and validated in raw urban wastewater, and included two caffeine metabolites, 1-methylxanthine and 7-methylxanthine, never reported in wastewater before. All these compounds were found widely at the μg/L level. Mass loads, calculated by multiplying concentrations by the wastewater daily flow rate and normalized to the population served by each plant, were used to compare the profiles from different cities. Some regional differences were observed in the mass loads, especially for nicotine metabolites, which were significantly higher in the south than in the center and north of Italy, reflecting smoking prevalences from population surveys. There were no significant weekly trends, although the mean mass loads of caffeine and its metabolites were slightly lower during the weekend. Most caffeine and nicotine metabolites fulfilled the requirements for an ideal biomarker for the assessment of population size, i.e. being easily detectable in wastewater, stable in sewage and during sampling, and reflecting human metabolism. Nicotine metabolites were tested as quantitative biomarkers to estimate population size and the results agreed well with census data. Caffeine and its metabolites were confirmed as good qualitative biomarkers, but additional information is needed on the caffeine metabolism in relation to the multiple sources of its main metabolites. This exploratory study opens the way to the routine use of nicotine metabolites for estimating population size and dynamics.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Caffeine; Nicotine; Population biomarkers; Urinary metabolites; Wastewater analysis

Mesh:

Substances:

Year:  2015        PMID: 25706221     DOI: 10.1016/j.watres.2015.02.002

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  16 in total

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Journal:  Environ Sci Pollut Res Int       Date:  2018-06-02       Impact factor: 4.223

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3.  Toxic potential of the emerging contaminant nicotine to the aquatic ecosystem.

Authors:  Ana Lourdes Oropesa; António Miguel Floro; Patrícia Palma
Journal:  Environ Sci Pollut Res Int       Date:  2017-05-05       Impact factor: 4.223

4.  An electrochemical sensor for nanomolar detection of caffeine based on nicotinic acid hydrazide anchored on graphene oxide (NAHGO).

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Journal:  BMC Public Health       Date:  2016-10-01       Impact factor: 3.295

6.  Increased levels of the oxidative stress biomarker 8-iso-prostaglandin F in wastewater associated with tobacco use.

Authors:  Yeonsuk Ryu; Emma Gracia-Lor; Richard Bade; J A Baz-Lomba; Jørgen G Bramness; Sara Castiglioni; Erika Castrignanò; Ana Causanilles; Adrian Covaci; Pim de Voogt; Felix Hernandez; Barbara Kasprzyk-Hordern; Juliet Kinyua; Ann-Kathrin McCall; Christoph Ort; Benedek G Plósz; Pedram Ramin; Nikolaos I Rousis; Malcolm J Reid; Kevin V Thomas
Journal:  Sci Rep       Date:  2016-12-15       Impact factor: 4.379

7.  Data on occurrence and fate of emerging contaminants in a urbanised area.

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Journal:  Data Brief       Date:  2018-01-31

8.  Monitoring wastewater for assessing community health: Sewage Chemical-Information Mining (SCIM).

Authors:  Christian G Daughton
Journal:  Sci Total Environ       Date:  2017-11-29       Impact factor: 7.963

9.  Longitudinal wastewater sampling in buildings reveals temporal dynamics of metabolites.

Authors:  Ethan D Evans; Chengzhen Dai; Siavash Isazadeh; Shinkyu Park; Carlo Ratti; Eric J Alm
Journal:  PLoS Comput Biol       Date:  2020-06-29       Impact factor: 4.475

Review 10.  Integrated Electrochemical Biosensors for Detection of Waterborne Pathogens in Low-Resource Settings.

Authors:  Joshua Rainbow; Eliska Sedlackova; Shu Jiang; Grace Maxted; Despina Moschou; Lukas Richtera; Pedro Estrela
Journal:  Biosensors (Basel)       Date:  2020-04-13
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