Automated Phytoremediation Optimization via Bio-Acoustic Resonance Feedback Loops (BORFL) for Heavy Metal Extraction in Contaminated Soils

**Abstract:** This research proposes a novel system for optimizing phytoremediation, a sustainable approach to soil remediation, by integrating bio-acoustic resonance feedback loops (BORFL). Existing phytoremediation techniques are often slow and inefficient. We introduce a system that utilizes targeted acoustic frequencies to stimulate plant growth and enhance heavy metal uptake, significantly accelerating the remediation process while minimizing environmental impact. The system leverages established principles of plant physiology, acoustics, and feedback control, ensuring near-term commercial viability. We predict a 30-50% reduction in remediation time coupled with a 15-25% increase in heavy metal removal compared to conventional phytoremediation.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-17
DOI
https://doi.org/10.5281/zenodo.16891302
Primary Topic
Prenatal Screening and Diagnostics
Type
article
Field-Weighted Citation Impact
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article

Automated Phytoremediation Optimization via Bio-Acoustic Resonance Feedback Loops (BORFL) for Heavy Metal Extraction in Contaminated Soils

Zenodo (CERN European Organization for Nuclear Research)
Prenatal Screening and Diagnostics
article

Automated Phytoremediation Optimization via Bio-Acoustic Resonance Feedback Loops (BORFL) for Heavy Metal Extraction in Contaminated Soils

article en

Abstract

**Abstract:** This research proposes a novel system for optimizing phytoremediation, a sustainable approach to soil remediation, by integrating bio-acoustic resonance feedback loops (BORFL). Existing phytoremediation techniques are often slow and inefficient. We introduce a system that utilizes targeted acoustic frequencies to stimulate plant growth and enhance heavy metal uptake, significantly accelerating the remediation process while minimizing environmental impact. The system leverages established principles of plant physiology, acoustics, and feedback control, ensuring near-term commercial viability. We predict a 30-50% reduction in remediation time coupled with a 15-25% increase in heavy metal removal compared to conventional phytoremediation.

Zenodo (CERN European Organization for Nuclear Research)
Freed–Hardeman University (US)
Life in Land
Openalex Percentile: Top 35%
Prenatal Screening and Diagnostics
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