A Polyhydroxybutyrate-Supported Xerogel Biosensor for Rapid BOD Mapping and Integration with Satellite Data for Regional Water Quality Assessment

The growing threat of organic pollution to surface waters necessitates the development of rapid and scalable monitoring tools that transcend the limitations of the standard 5-day biochemical oxygen demand (BOD<sub>5</sub>) test. This study presents a novel approach by developing a highly stable and rapid BOD biosensor based on the microorganism <i>Paracoccus yeei</i>, immobilized within a sol-gel-derived xerogel matrix synthesized on a polyhydroxybutyrate (PHB) substrate. The PHB-supported xerogel significantly enhanced microbial viability and sensor stability. This biosensor demonstrated a correlation (R<sup>2</sup> = 0.93) with the standard BOD<sub>5</sub> method across 53 diverse water samples from the Tula region, Russia, providing precise results in just 5 min. The second pillar of our methodology involved analyzing multi-year Landsat satellite imagery via the Global Surface Water Explorer to map hydrological changes and identify zones of potential anthropogenic impact. The synergy of rapid ground-truth biosensor measurements and remote sensing analysis enabled a comprehensive spatial assessment of water quality, successfully identifying and ranking pollution sources, with wastewater discharges and agro-industrial facilities constituting the most significant factors. This work underscores the high potential of PHB-xerogel composites as efficient immobilization matrices and establishes a powerful, scalable framework for regional environmental monitoring by integrating advanced biosensor technology with satellite observation.

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Publication Details

Journal
Gels
Published
2025-10-24
DOI
https://doi.org/10.3390/gels11110849
Citations
1
Primary Topic
Water Quality Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
1.00
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article

A Polyhydroxybutyrate-Supported Xerogel Biosensor for Rapid BOD Mapping and Integration with Satellite Data for Regional Water Quality Assessment

Anna Kharkova, Anastasia S. Medvedeva, Bruno Fabiano, Andrea P. Reverberi et al.
1 citations
Gels
Water Quality Monitoring and Analysis
1.00
article

A Polyhydroxybutyrate-Supported Xerogel Biosensor for Rapid BOD Mapping and Integration with Satellite Data for Regional Water Quality Assessment

Anna Kharkova, Anastasia S. Medvedeva, Bruno Fabiano, Andrea P. Reverberi, Roman Perchikov, Irina Koryakina, Vyacheslav A. Arlyapov, George Gurkin, Alexey Efremov
article en
1 citations

Abstract

The growing threat of organic pollution to surface waters necessitates the development of rapid and scalable monitoring tools that transcend the limitations of the standard 5-day biochemical oxygen demand (BOD<sub>5</sub>) test. This study presents a novel approach by developing a highly stable and rapid BOD biosensor based on the microorganism <i>Paracoccus yeei</i>, immobilized within a sol-gel-derived xerogel matrix synthesized on a polyhydroxybutyrate (PHB) substrate. The PHB-supported xerogel significantly enhanced microbial viability and sensor stability. This biosensor demonstrated a correlation (R<sup>2</sup> = 0.93) with the standard BOD<sub>5</sub> method across 53 diverse water samples from the Tula region, Russia, providing precise results in just 5 min. The second pillar of our methodology involved analyzing multi-year Landsat satellite imagery via the Global Surface Water Explorer to map hydrological changes and identify zones of potential anthropogenic impact. The synergy of rapid ground-truth biosensor measurements and remote sensing analysis enabled a comprehensive spatial assessment of water quality, successfully identifying and ranking pollution sources, with wastewater discharges and agro-industrial facilities constituting the most significant factors. This work underscores the high potential of PHB-xerogel composites as efficient immobilization matrices and establishes a powerful, scalable framework for regional environmental monitoring by integrating advanced biosensor technology with satellite observation.

GelsVol. 11(11)
Tula State University (RU), University of Genoa (IT)
Openalex Percentile: Top 18%
Water Quality Monitoring and Analysis
1.00
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