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ZENODO
Report . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2026
License: CC BY
Data sources: Datacite
ZENODO
Report . 2026
License: CC BY
Data sources: Datacite
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A Novel 3D Printed Portable Device for Environmental Monitoring

Authors: McCole, Matthew;

A Novel 3D Printed Portable Device for Environmental Monitoring

Abstract

Rationale, Aims and Objectives This publication proposes a low-cost, solar-powered portable potentiostat designed to enable on-site environmental monitoring, particularly in resource-limited settings. Its main aim is to improve accessibility of electrochemical sensing by removing reliance on grid power and bulky lab equipment. The objectives include developing a compact, energy-efficient device, validating its performance against standard laboratory potentiostats, and demonstrating its application in detecting environmental contaminants, such as pollutants in water. Overall, this work seeks to support real-time, field-based analysis while promoting sustainable and decentralised monitoring solutions. Research Findings This study finds that the solar-powered portable potentiostat delivers reliable electrochemical measurements comparable to standard laboratory systems while operating independently of grid electricity. Field tests show it can accurately detect environmental contaminants, such as pollutants in water, in real time. A key feature is its integration with low-cost, 3D-printed sensor components, which enable rapid prototyping, local production, and easy customisation for different applications without sacrificing performance or reproducibility. Together, the portability, renewable energy use, and additive manufacturing approach make the system well suited to scalable, accessible, and sustainable environmental monitoring in resource-limited settings. Policy Implications This research has important policy implications for expanding environmental monitoring in low-resource and remote settings. The use of solar power and low-cost 3D-printed components supports decentralised, sustainable monitoring systems that reduce reliance on expensive laboratory infrastructure and stable grid electricity. Policymakers could leverage this technology to strengthen water quality surveillance, improve early detection of pollutants, and support environmental regulation in underserved regions. It also highlights the value of investing in open, locally manufacturable scientific tools to increase resilience, reduce costs, and improve data-driven environmental decision-making. Industry Recommendations The study suggests several opportunities for industry adoption, particularly in environmental sensing, water quality monitoring, and low-cost analytical device manufacturing. Companies could integrate solar-powered potentiostats and 3D-printed sensor components into portable testing kits for field technicians and decentralised monitoring networks. The use of additive manufacturing enables rapid customisation and scalable production, reducing development and deployment costs. Industry stakeholders are encouraged to collaborate with research institutions to refine device robustness, standardise performance across applications, and support commercialisation pathways that prioritise affordability, sustainability, and accessibility in global environmental monitoring markets.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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