Bioassay-directed chemical analysis utilizing LC-MS: a tool for identifying estrogenic compounds in water samples?

Research output: Journal contributionsJournal articlesResearchpeer-review

Standard

Bioassay-directed chemical analysis utilizing LC-MS: a tool for identifying estrogenic compounds in water samples? / Heisterkamp, Inga; Gandrass, Jürgen; Ruck, Wolfgang.
In: Analytical & Bioanalytical Chemistry, Vol. 378, No. 3, 01.02.2004, p. 709-715.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

APA

Vancouver

Bibtex

@article{9fd1a57adce7453bbbad2f5b6a2a5c9f,
title = "Bioassay-directed chemical analysis utilizing LC-MS: a tool for identifying estrogenic compounds in water samples?",
abstract = "A bioassay-directed chemical analysis (BDCA) scheme has been developed which combines a yeast screen for estrogenic activity with LC-MS detection after liquid-liquid extraction and fractionation by size exclusion chromatography. Focusing on sewage-treatment plant (STP) effluents, the approach aims at characterizing the substances responsible for estrogenic effects in aquatic systems. Initial results show a strong response of STP effluent extracts in the yeast screen. Estrone, bisphenol A, and nonylphenol have been identified as substances being partly responsible for observed estrogenic activity. However, confirmation experiments with synthetic samples revealed that the estrogenic effect potentials of the samples could not be completely assigned to specific compounds. Further improvement of the limits of detection of the analytical scheme is needed to enable identification and quantification of potent estrogenic compounds at low concentrations.",
keywords = "Chemistry, Bioassay-directed chemical analysis, Estrogenic activity, LC-MS-MS, Liquid-liquid extraction, Saccharomyces cerevisiae, Sewage-treatment plant effluent, Bioassay-directed chemical analysis, Estrogenic activity, LC-MS-MS, Liquid-liquid extraction, Saccharomyces cerevisiae, Sewage-treatment plant effluent",
author = "Inga Heisterkamp and J{\"u}rgen Gandrass and Wolfgang Ruck",
year = "2004",
month = feb,
day = "1",
doi = "10.1007/s00216-003-2380-5",
language = "English",
volume = "378",
pages = "709--715",
journal = "Analytical & Bioanalytical Chemistry",
issn = "1618-2642",
publisher = "Springer Science and Business Media Deutschland",
number = "3",

}

RIS

TY - JOUR

T1 - Bioassay-directed chemical analysis utilizing LC-MS: a tool for identifying estrogenic compounds in water samples?

AU - Heisterkamp, Inga

AU - Gandrass, Jürgen

AU - Ruck, Wolfgang

PY - 2004/2/1

Y1 - 2004/2/1

N2 - A bioassay-directed chemical analysis (BDCA) scheme has been developed which combines a yeast screen for estrogenic activity with LC-MS detection after liquid-liquid extraction and fractionation by size exclusion chromatography. Focusing on sewage-treatment plant (STP) effluents, the approach aims at characterizing the substances responsible for estrogenic effects in aquatic systems. Initial results show a strong response of STP effluent extracts in the yeast screen. Estrone, bisphenol A, and nonylphenol have been identified as substances being partly responsible for observed estrogenic activity. However, confirmation experiments with synthetic samples revealed that the estrogenic effect potentials of the samples could not be completely assigned to specific compounds. Further improvement of the limits of detection of the analytical scheme is needed to enable identification and quantification of potent estrogenic compounds at low concentrations.

AB - A bioassay-directed chemical analysis (BDCA) scheme has been developed which combines a yeast screen for estrogenic activity with LC-MS detection after liquid-liquid extraction and fractionation by size exclusion chromatography. Focusing on sewage-treatment plant (STP) effluents, the approach aims at characterizing the substances responsible for estrogenic effects in aquatic systems. Initial results show a strong response of STP effluent extracts in the yeast screen. Estrone, bisphenol A, and nonylphenol have been identified as substances being partly responsible for observed estrogenic activity. However, confirmation experiments with synthetic samples revealed that the estrogenic effect potentials of the samples could not be completely assigned to specific compounds. Further improvement of the limits of detection of the analytical scheme is needed to enable identification and quantification of potent estrogenic compounds at low concentrations.

KW - Chemistry

KW - Bioassay-directed chemical analysis

KW - Estrogenic activity

KW - LC-MS-MS

KW - Liquid-liquid extraction

KW - Saccharomyces cerevisiae

KW - Sewage-treatment plant effluent

KW - Bioassay-directed chemical analysis

KW - Estrogenic activity

KW - LC-MS-MS

KW - Liquid-liquid extraction

KW - Saccharomyces cerevisiae

KW - Sewage-treatment plant effluent

UR - https://www.mendeley.com/catalogue/e07bbd21-06ad-3619-9e7f-fc52070949cc/

UR - http://www.scopus.com/inward/record.url?scp=1842463404&partnerID=8YFLogxK

U2 - 10.1007/s00216-003-2380-5

DO - 10.1007/s00216-003-2380-5

M3 - Journal articles

VL - 378

SP - 709

EP - 715

JO - Analytical & Bioanalytical Chemistry

JF - Analytical & Bioanalytical Chemistry

SN - 1618-2642

IS - 3

ER -

Recently viewed

Publications

  1. A flexible global warming index for use in an integrated approach to climate change assessment
  2. The First-Mover Disadvantage
  3. Jurisdiction and applicable law in cases of damage from space in Europe - The advent of the most suitable choice - Rome II
  4. The interaction of precipitation and deformation in a binary Mg-Ca alloy at elevated temperatures
  5. An Integrative and Comprehensive Methodology for Studying Aesthetic Experience in the Field
  6. Creating uncertainty in the governance of arrival and return: target-group constructions in Bavarian AnkER facilities
  7. Convergence or mediation? Experts of vulnerability and the vulnerability of experts' discourses on nanotechnologies
  8. Marketable and non-hedgeable risk in a duopoly framework with hedging
  9. It Matters to Whom You Compare Yourself
  10. Soft Landing for electromagnetic actuators through adaptive pre-action combined with a slide surface to avoid electrical saturation
  11. Downsizing, Ideology and Contracts
  12. Effectiveness of a gratitude app at reducing repetitive negative thinking as a transdiagnostic risk factor in the general population
  13. Process limits of extrusion of multimaterial components
  14. Modeling Turning Points In Global Equity Market
  15. Pushing the Boundaries
  16. Managing Gender Equity and Equality Across Borders—A Review and Introduction to the Special Issue
  17. 2. Advent
  18. Evidence-based narratives in European research programming
  19. The Utilization of Artificial Intelligence in Higher Education Institutions in Germany
  20. Design, construction, and operation of tailored permeable reactive barriers
  21. Electrical Resistivity of Binary Mg Alloys
  22. Towards an Intra- and Interorganizational Perspective
  23. From Learning Machines to Learning Humans
  24. Be(coming) an Ambassador of Transformative Change from the Inside Out
  25. Multilayer Material System Analysis of wind turbines
  26. Subsistence and substitutability in consumer preferences
  27. Tschick
  28. Vibration Converter with Passive Energy Management for Battery‐Less Wireless Sensor Nodes in Predictive Maintenance
  29. Competition in fragmented markets
  30. A Systematic Literature Review Of Machine Learning Approaches For The Prediction Of Delivery Dates
  31. Harmony at the Workplace
  32. Workplace mediation: Lessons from negotiation theory
  33. Sustainable Development
  34. Artificial neural network for correction of effects of plasticity in equibiaxial residual stress profiles measured by hole drilling