Skip to Content
You are currently on the new version of our website. Access the old version .
ProceedingsProceedings
  • Abstract
  • Open Access

15 May 2024

2 Pages

Autonomous Aquatic Sentinels: Advancing Water Quality Assessment with Non-Intrusive Biomimetics Approach †

and
Institute of Agricultural Sciences, Banaras Hindu University, Varanasi 221005, Uttar Pradesh, India
*
Author to whom correspondence should be addressed.
†
Presented at the 1st International Online Conference on Biomimetics (IOCB 2024), 15–17 May 2024; Available online: https://sciforum.net/event/IOCB2024.

1. Introduction

The ongoing urbanisation and industrialization in developing nations produce hazardous wastes, including heavy metals such as iron, nickel, cobalt, cadmium, etc., and bring naturally occurring radioactive materials to the surface through anthropogenic activities. Apart from radionuclides in the uranium and thorium series, surface water may contain natural radionuclides like 40K, 3H, and 14C, with anthropogenic sources contributing to 90Sr, 131I, transuranium products, and other emitters [1]. Their gradual buildup in the aquatic environment poses a persistent threat of metal-related diseases and endangers both aquatic biota and other organisms [2]. The integration of biomimicry principles can be a transformative avenue for environmental monitoring and aquatic research. This study aims to design a biomimetic swimming fish bot with advanced detectors to revolutionise water sample collection, reduce human interaction, and address environmental health by swiftly managing potential threats from heavy metals and radioactive materials.

2. Materials and Methods

Drawing inspiration from the swift swimming motion of Sailfish (Istiophorus platypterus), the bot employs a specialised fin-like structure that mimics the hydrodynamic efficiency of marine organisms, allowing it to cover large areas efficiently. The bot’s capability to assess heavy metal contaminants is influenced by the bioaccumulating prowess of Zebra mussels (Dreissena polymorpha). The device utilises a radiation detection module inspired by the colour-changing behaviour of Spiderwort (Tradescantia virginiana) flowers. Responding dynamically to radiation fluctuations, the sensors change colour for rapid and easily visible radioactivity analysis. Additionally, the entire device is powered by an energy-efficient system inspired by the metabolic efficiency observed in marine organisms. Testing is performed to evaluate its efficiency in a simulated environment.

3. Results

The simulation demonstrates the bot’s efficiency in assessing water quality, showcasing excellence in propulsion, precise metal detection, and prompt responsiveness in radiation analysis.

4. Conclusions

The result validates this design as a state-of-the-art biomimetic robotic device for water quality assessment.

Author Contributions

Conceptualization, A.K. and B.P.; methodology, A.K. and B.P.; visualization, A.K. and B.P. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Cinelli, G.; De Cort, M.; Tollefsen, T. European Atlas of Natural Radiation; Publication Office of the European Union: Luxembourg, 2019. [Google Scholar]
  2. Mallampati, S.R.; Mehta, B.; Dave, S.; Joshi, M.; Karthikeyan, L.; Sarma, V.K.S.; Basha, S.; Ramachandraiah, G.; Bhatt, P. Bioaccumulation of heavy metals in some commercial fishes and crabs of the Gulf of Cambay, India. Curr. Sci. 2007, 92, 1489–1491. [Google Scholar]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Article Metrics

Citations

Article Access Statistics

Multiple requests from the same IP address are counted as one view.