Publication detail

Mathematical modeling of enrichment of estrogens in water samples using reverse osmosis device

SIEGEL, J. WANGMO, C. CUHORKA, J. OTOUPALÍKOVÁ, A. BITTNER, M.

Original Title

Mathematical modeling of enrichment of estrogens in water samples using reverse osmosis device

Type

journal article in Web of Science

Language

English

Original Abstract

Estrogens that constitute some of the potent endocrine disruptors are present in the water environment in very low concentrations (below ng/L) requiring sample enrichment to increase its concentration prior to an analytical determination. Currently, solid-phase extraction is the most commonly used enrichment method, but reverse osmosis (RO) may provide a promising alternative with the advantage of maintaining whole water sample including hydrophilic constituents such as humic substances. Subsequent in vitro assessment of such complex samples can provide more realistic information on their estrogenicity. Therefore, a novel experimental enrichment device employing the RO process using a flat-sheet membrane was developed for sample enrichment. In the current study, we aim to develop a mathematical model describing the RO enrichment process using the novel device. The mathematical model was created in MATLAB-Simulink software and validated with experimental results. NaCl at 0.2 and 2 g/L and tap water spiked with 17α-ethynylestradiol (EE2) at concentrations of 10 and 50 ng/L were used as model compounds. A mean relative error between the model and experimental results were 1.5 and 0.9 % for NaCl samples, and 17.3 and 14.4 % for E2, respectively. These results suggest the usefulness of the model for describing the RO system and suitability of the RO device for the enrichment of estrogens prior to instrumental or in vitro analysis.

Keywords

Estrogens; LC/MS analysis; Reverse osmosis; Sample enrichment

Authors

SIEGEL, J.; WANGMO, C.; CUHORKA, J.; OTOUPALÍKOVÁ, A.; BITTNER, M.

Released

1. 1. 2020

Publisher

Elsevier B.V.

Location

Amsterdam, Nizozemsko

ISBN

2352-1864

Periodical

Environmental Technology and Innovation

Year of study

2

Number

17

State

Kingdom of the Netherlands

Pages from

1

Pages to

10

Pages count

10

URL

https://www.sciencedirect.com/science/article/pii/S2352186419303694?via%3Dihub

BibTex

@article{BUT161308,
  author="Jan {Siegel} and Chimi {Wangmo} and Jiří {Cuhorka} and Alena {Otoupalíková} and Michal {Bittner}",
  title="Mathematical modeling of enrichment of estrogens in water samples using reverse osmosis device",
  journal="Environmental Technology and Innovation",
  year="2020",
  volume="2",
  number="17",
  pages="1--10",
  doi="10.1016/j.eti.2019.100584",
  issn="2352-1864",
  url="https://www.sciencedirect.com/science/article/pii/S2352186419303694?via%3Dihub"
}