From Challenge to Opportunity: Revolutionizing the Monitoring of Emerging Contaminants in Water with Advanced Sensors

From Challenge to Opportunity: Revolutionizing the Monitoring of Emerging Contaminants in Water with Advanced Sensors

Introduction

The rapid industrialization and urbanization have led to a significant release of unregulated chemical and biological substances into the environment, referred to as emerging contaminants (ECs) (Pellegrin et al., 2015). These pollutants, which include pharmaceuticals (PHAs), personal care products (PCPs), endocrine disruptors (EDCs), industrial additives and agents (IAAs), surfactants and surfactant metabolites (SSMs), and other persistent organic compounds, originate from industrial, agricultural, and urban sources (Gavrilescu et al., 2015; Liu et al., 2023; Shahid et al., 2021; Zhao et al., 2024a). Present in concentrations from nanograms to micrograms per liter, ECs can persist, accumulate biologically, and pose risks to human health and ecosystems, with potential global spread due to their environmental toxicity (Naddeo. et al., 2013; Norvill et al., 2016). ECs are introduced into water environments through pathways such as residential, industrial, and medical wastewater, aquaculture, and stormwater runoff (Hills et al., 2011; Pal et al., 2014). Characterized by low concentrations and high stability due to properties like lipophilicity and hydrophobicity, these micropollutants accumulate and can adversely affect ecosystems and human health, including immune system damage, endocrine disruption, and increased cancer risk (Table 1) (Kumar et al., 2020; Liu et al., 2023).

Extensive academic literature on ECs details their classification, properties, and methods for removal from water bodies, with a focus on specialized remediation techniques such as physical methods (adsorption and filtration), chemical approaches (membrane technology, advanced oxidation processes, and sonochemical methods), and biological strategies (activated sludge, constructed wetlands) (Ensano et al., 2017; González-Alonso et al., 2017; Sarkar et al., 2019; Shahid et al., 2021). Although conventional methodologies for EC extraction and analysis are well-established, they are not suitable for the real-time monitoring of emerging contaminants in water due to their high costs, lengthy response times, and issues such as suboptimal recoveries and high percentage relative standard deviations (%RSD) (Table 2) (Cruz et al., 2012; Serna-Galvis et al., 2019; Serpone et al., 2017). Traditional monitoring techniques, including spectroscopy, chromatography, and biochemical tests, effectively target inorganic pollutants and specific high-risk organic contaminants but struggle to detect ECs due to their elusive and cumulatively toxic nature, thereby posing significant risks to public health and ecological safety (Kubitz et al., 1995; Liu et al., 2015; Martín-Pozo et al., 2019). Moreover, existing workflows that involve sample collection, pretreatment, and instrumental analysis face challenges due to the complex molecular structures and low concentrations of ECs such as endocrine disruptors and pharmaceutical residues, which often exceed the detection capabilities of conventional methods and are susceptible to cross-contamination during sample preparation (Figure 1) (Allan et al., 2006; Scheithauer and Uwe, 2013; Vilma et al., 2015). These limitations underscore the urgent need for technological advancements in the monitoring of ECs to ensure the safety and cleanliness of water environments (Leusch et al., 2014).

Considering these shortcomings, the urgency for novel integrated sensing and response monitoring technologies is clear. Innovations like sensors, nanotechnology, and online monitoring systems are pivotal for real-time water quality assessment and effective detection of and response to emerging contaminants (Yaroshenko et al., 2020). Biosensors, leveraging the high selectivity of specific biomolecules, excel in detecting pollutants in complex water matrices. Their high specificity and rapid response make them ideal for monitoring specific biomarkers in water environments (Yang et al., 2019). Nanomaterial-enhanced techniques in spectroscopy, chromatography, and electrochemistry offer heightened sensitivity and quicker response times. Certain nanoparticles, such as gold nanoparticles and carbon quantum dots, enhance chemical reaction signals, improving the detection of low-concentration pollutants (Takemura et al., 2022). Online monitoring systems, based on diverse sensors, offer immediate feedback on water environmental changes through continuous data collection and real-time analysis, facilitating prompt and comprehensive water quality monitoring (Teng et al., 2017). Integrated sensing and response monitoring technologies excel beyond traditional methods in terms of sensitivity, specificity, response time, and applicability. They are more capable of accurately detecting and identifying emerging contaminants in water, providing more effective solutions for water quality safety monitoring, which is a critical aspect of emergency response and water management.

Therefore, this review seeks to: (a) introduce various innovative integrated sensor monitoring technologies that combine both detection and response capabilities; (b) discuss the functional principles, advantages, and disadvantages of these sensor technologies in monitoring ECs; (c) help researchers select appropriate sensor types for various environmental scenarios, promoting the development of robust, deployable sensor solutions. The goal of this review is to assist in identifying the most suitable monitoring technologies for efficient EC detection under specific conditions, thereby aiding in their effective removal from water ecosystems.

Access through your organization

Check access to the full text by signing in through your organization.

Access through your institution

Section snippets

Biosensors

Biosensors have become integral in water quality monitoring. These sensors leverage the distinctive recognition capabilities of biomolecules, generating detectable signals via biochemical reactions for precise identification and quantification of emerging contaminants (Ramanathan and Danielsson, 2001). The primary categories of biosensors include enzyme-based, immunosensors, and DNA sensors. Enzyme-based sensors utilize enzymes as biological recognition elements, triggering biochemical changes

Optical Sensors

Optical sensors are widely employed in diverse domains including the chemical and biomedical sectors, and in environmental monitoring, celebrated for their high sensitivity and non-destructive nature. These tools adeptly monitor multiple analytes exhibiting varied optical characteristics simultaneously. Their operational principle relies on the photoexcitation of electrons within meticulously engineered molecules, followed by the assessment of ensuing alterations in optical properties.

Electrochemical Sensors

Electrochemical sensor technology is extensively utilized in life sciences, pharmaceutical evaluation, and environmental pollutant detection. These sensors surpass traditional chemical modification-based sensing technologies in several critical aspects, including superior chemical and physical stability, affordability, production efficiency, reusability, and exceptional selectivity (Karthik et al., 2021). Advancements in this domain have expanded the capabilities for trace-level detection of

Nanomaterial Sensors

Nanomaterial sensors represent a significant advancement in analytical technology, offering semi-quantitative and quantitative analysis of ECs in water environments, thereby revolutionizing water quality monitoring. These devices are comprised of electrochemical transducers enhanced with nanomaterials serving as catalysts or binding substrates, which facilitate the accurate detection and quantification of target substances (ECs). Widely employed nanomaterials include inert metal nanoparticles,

Comparative Performance of Sensors and Future Prospects

Current sensor technologies for monitoring ECs in water require a multifaceted approach for optimization. First, market cost-effectiveness is crucial, covering initial acquisition costs, ongoing operation and maintenance expenses, and potential long-term financial benefits. Second, the complexity and feasibility of the technology are key evaluative metrics, reflecting manufacturing challenges, scalability, and adaptability to various environmental conditions. Lastly, the efficacy of sensors is

Quality Control and Quality Assurance Criteria

To ensure quality control and assurance (QC/QA) for various sensors in practical applications, comprehensive measures are essential. Biosensors should use aseptic sample collection techniques to prevent contamination and be regularly calibrated to maintain sensitivity and specificity. Optical sensors require regular calibration with standard light sources and filters, and appropriate software should process data to reduce noise. Electrochemical sensors need regular electrode calibration,

Establishment and Application of Advanced Sensor Framework

This review proposes a framework to optimize EC monitoring in water using advanced sensor technologies. By identifying and classifying emerging contaminants of various concentrations and categories, suitable sensor types (biosensors, optical sensors, electrochemical sensors, and nanomaterial sensors) were selected and their optimal combinations determined. Sensor performance metrics were evaluated through lab and field tests, and standardized protocols were established for result comparability

CRediT authorship contribution statement

Peng Chen: Writing – review & editing, Writing – original draft, Visualization, Resources, Methodology, Investigation, Formal analysis. Jingquan Wang: Writing – review & editing, Methodology, Investigation, Formal analysis, Conceptualization. Yanei Xue: Supervision, Methodology, Investigation. Chunmiao Wang: Supervision, Methodology, Investigation. Wenjun Sun: Supervision, Methodology, Conceptualization. Jianwei Yu: Supervision, Resources, Methodology, Formal analysis, Conceptualization.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgments

The authors would like to thank the National Key Research and Development Program of China (2023YFC3210100), National Natural Science Foundation of China (42177060), and Science & Technology Department of Sichuan (22023NSFSC1949, 2023ZHCGO024-LH) for the financial support.

© 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

Back to blog

Leave a comment

Please note, comments need to be approved before they are published.