Creation of na image capture device for collective monitoring of water quality

Authors

Keywords:

Environmental monitoring, Citizen science, Participatory management

Abstract

This study presents the development, validation, and application of an image capture device for participatory water quality monitoring, integrating additive manufacturing, digital colorimetric analysis, and citizen science principles. It aims to democratize access to environmental monitoring tools in regions with limited laboratory infrastructure, empowering communities to take a leading role in the management of their water resources. The designed device was manufactured using recycled polylactic acid filament, fused deposition modeling additive manufacturing, and equipped with a custom standardized optical system for smartphone capture. Samples containing nitrite, ammonia, orthophosphate, and iron were analyzed using the AQUA application to extract red, green and blue values and determine calibration curves, which showed correlation coefficients greater than 0.95 for all analytes, demonstrating high analytical accuracy. Statistical validation using a paired t-test showed significant good agreement with ultraviolet-visible spectrophotometry. Field tests showed that the device can be operated by volunteers without technical training, reinforcing its robust potential for environmental education and citizen science. The project's reduced cost, portability, and open replicability make it a highly viable and scalable sustainable alternative for community-based water surveillance initiatives. The study contributes to Sustainable Development Goals 6 and 11 by promoting social participation in environmental management and accessible technological innovation.

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Author Biographies

Marcelo Nepomoceno Kapp, Universidade Federal de Integração Latino-Americana

Associate Professor at the Federal University for Latin American Integration (UNILA). Completed a PhD in Engineering (Philosophiæ Doctor Ph.D.) at the Université du Québec, École de Technologie Supérieure in February 2010. Holds a Bachelor's degree in Computer Science from the State University of Ponta Grossa (2001) and a Master's degree in Applied Computer Science from the Pontifical Catholic University of Paraná (2004). Has experience in the field of Computer Science, mainly working on the following topics: machine learning, pattern recognition, artificial intelligence, computer vision, optimization, and evolutionary computation.

Marcela Boroski, Universidade Federal de Integração Latino-Americana

She holds a Bachelor's and Licentiate degree in Chemistry from the State University of Maringá (2004), a Master's degree in Environmental Analytical Chemistry (2007), and a PhD in Analytical Chemistry with an Emphasis on Food Chemistry (2011) from the same institution. Part of her doctoral project was developed at Agriculture and Agri-food Canada, in the area of ​​lipid stability and natural antioxidants, through the PDEE/CAPES program. She is an Adjunct Professor of Analytical Chemistry at the Federal University of Latin American Integration (UNILA), where she has supervised Master's and PhD students in the Interdisciplinary Postgraduate Program in Energy and Sustainability (PPGIES) since 2019. She develops analytical methodologies employing chromatographic techniques for the analysis of organic components in food matrices and of environmental relevance. She works on interdisciplinary projects focusing on the investigation of micropollutants (pesticides) and the study of the dynamics of these species in the environment in areas of intensive agriculture, and the evaluation of water quality in urban rivers. Has experience in food analysis regarding the presence of bioactive compounds and antioxidant potential, and evaluation of lipid composition. Currently conducts research related to the quality of honey and extra virgin olive oils.

Nathali De Lima Steiger, Universidade Federal de Integração Latino-Americana

Scientific Initiation Program at the Federal University for Latin American Integration.

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Published

2026-08-09

How to Cite

CAMACHO, Flavio Gomes Figueira; KAPP, Marcelo Nepomoceno; BOROSKI, Marcela; STEIGER, Nathali de Lima. Creation of na image capture device for collective monitoring of water quality. Ambiente Construído, [S. l.], v. 26, 2026. Disponível em: https://seer.ufrgs.br/index.php/ambienteconstruido/article/view/154544. Acesso em: 10 aug. 2026.

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Section

Edição especial EUROELECS 2025

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