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April 3, 2026Sustainability0 citationsOpen Access

Innovations in Water-Pollution Monitoring Based on Global Patent Trends (TRL 4–5): Toward Cleaner Environment and Smarter Technologies

CQCristina M. QuintellaRSRicardo SalgadoAMAna M. A. T. Mata

Key Points

  • The aim is to identify and analyze emerging technologies for water-quality monitoring and their patent trends.
  • Mapped 40,469 patent families using the Espacenet database.
  • Analyzed a detailed subset of 2,146 water-pollution-related patents.
  • Examined trends in sensing parameters, legal status, and geographic distribution.
  • Exponential growth in patent filings observed since 2014.
  • Majority of active patents held by transnational corporations, with strong innovation in specific countries.
  • Focus on multiparameter sensing technologies addressing various pollutants.

Abstract

Unpolluted water, both freshwater and saltwater, is essential for achieving several United Nations Sustainable Development Goals, particularly SDGs 6, 3, 2, 14, and 15. This study maps emerging water-quality monitoring technologies at intermediate technological readiness levels (TRLs 4–5) and their potential patent markets (TRL 9). A total of 40,469 patent families were retrieved from the Espacenet worldwide database using IPC G01N33/18 and used to analyze sensing parameters. A subset of 2146 water-pollution-related patents was analyzed in detail. The analysis covered sensing parameters, temporal trends, compound annual growth rates (CAGR), legal status, geographic distribution of patent origins and markets, and the technological landscape, including application domains and niche clusters. The results show pronounced exponential growth in patent filings since 2014 and a high share of active documents, indicating sustained global investment. Innovation leadership is concentrated in China, South Korea, India, the United States, and Japan, with export-oriented patents largely held by transnational corporations, while African participation remains limited. Technological trends prioritize multiparameter environmental and biological sensing, addressing pH, temperature, turbidity, dissolved oxygen, nutrients, heavy metals, polycyclic aromatic hydrocarbons (PAHs), and oxidation–reduction potential. Emerging solutions integrate autonomous platforms, remote sensing, Internet-of-Things architectures, and machine-learning-based analytics. Persistent bottlenecks include sensor robustness in harsh aquatic environments and the reliable discrimination between background variability and early pollution signals. Strengthening low-cost and scalable deployment remains essential to ensure water quality, support environmental sustainability, and minimize risks.

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Cite This Study

Quintella et al. (2026) studied this question.

synapsesocial.com/papers/69cf5e115a333a821460c277https://doi.org/10.3390/su18073396
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