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BRIEF RESEARCH REPORT article

Front. Environ. Sci.

Sec. Environmental Citizen Science

This article is part of the Research TopicEnvironmental Citizen Science: Insights 2025View all 6 articles

The citizen scientists' laboratory – Quantifying copper in drinking water

Provisionally accepted
Jan  E. KathJan E. Kath1*Christian  G. StrippelChristian G. Strippel1Vanessa  van den BogaertVanessa van den Bogaert2Joachim  WirthJoachim Wirth3Katrin  SommerKatrin Sommer1
  • 1Chair for Chemistry Education, Ruhr-University Bochum, Bochum, Germany
  • 2Institute of Education, Leibniz University Hannover, Hannover, Germany
  • 3Department of Research on Learning and Instruction, Ruhr-University Bochum, Bochum, Germany

The final, formatted version of the article will be published soon.

Safely managed drinking water is of utmost importance. Citizen scientists have been successful in collecting water monitoring data worldwide. However, in these projects, usually test strips or colorimetric assays have been used. The implementation of laboratory methods within a citizen science project could confer both benefits and risks with regard to the data that is collected. This study, therefore, compared citizen scientists' data collected using either a colorimetric method or a spectrophotometric method. The citizen scientists' data (n = 456) were evaluated by comparing these data with reference data obtained in external laboratory analyses. Citizen scientists' colorimetric data were highly correlated and showed a moderate percentage agreement with the reference data (percentage agreement: 60 %, Spearman r = .671). The percentage agreement was, however, poor for drinking water samples that contained a larger amount of copper when the citizen scientists used a colorimetric method. Data of the same samples obtained by the citizen scientists with a spectrophotometric laboratory method were also compared with the reference data and showed a slightly higher percentage agreement and stronger correlation to the reference data (percentage agreement: 69 %, Spearman r = .727). The percentage agreement was consistent for samples that contained different amounts of copper when the citizen scientists used a spectrophotometric method. The data indicated that citizen science projects could improve data quality by involving citizen scientists in laboratory work.

Keywords: Citizen data, citizen science, Community participation, Drinking Water, Spectrophotometry

Received: 11 Dec 2025; Accepted: 04 Feb 2026.

Copyright: © 2026 Kath, Strippel, van den Bogaert, Wirth and Sommer. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Jan E. Kath

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