Open Access Article
Vibhas Chugha,
Paul Gaskinb and
Waye Zhang
*a
aDepartment of Chemical Engineering, Swansea University, Swansea SA18EN, UK. E-mail: wei.zhang@swansea.ac.uk
bDwr Cymru Welsh Water, Newport, NP10 8FZ, UK
First published on 22nd January 2026
Per- and polyfluoroalkyl substances (PFAS) are now regulated at ultra-trace levels in drinking water, with guideline values in the low ng L−1 (ppt) range in many jurisdictions, demanding highly sensitive, robust, and cost-effective monitoring tools. Regulatory drivers increasingly emphasize not only detection of legacy PFAS such as PFOS and PFOA, but also broader chemical coverage, routine compliance monitoring, and rapid screening at the point of use. This review critically surveys PFAS sensor technologies developed over the last decade, encompassing optical (colorimetric, fluorescence, and surface plasmon resonance), electrochemical (voltammetric, impedimetric, and potentiometric), and emerging biosensing and whole-cell reporter platforms. For each sensor class, typical limits of detection (from low ppb down to sub-ppt in optimized systems), dynamic ranges, regeneration, and compatibility with repeated measurements in real and complex water matrices are summarized. The underlying recognition and transduction principles—including molecularly imprinted polymers, host–guest interactions, ion-selective membranes, nanomaterial-enhanced interfaces, and biological recognition elements—are highlighted to connect materials design with analytical performance. Across these platforms, key advantages include miniaturization, rapid response, and potential integration into portable or on-line monitoring systems, whereas major limitations involve selectivity among structurally similar PFAS, matrix interferences, long-term stability, and limited multi-analyte capability. This review discusses how current research addresses these challenges through preconcentration strategies, sensor arrays, nanostructured materials, and integrated sample handling, and outlines future directions toward regulatory-grade, field-deployable PFAS sensors capable of continuous monitoring, multiplex detection, and scalable deployment in drinking water and environmental surveillance.
000 different PFAS compounds have been synthesized for various applications, driven by their ability to perform under extreme conditions such as high temperatures, exposure to harsh chemicals, and in environments with high mechanical stress.7,8 While their use has been invaluable in diverse sectors—including the military, aviation, and consumer goods industries—the persistence of PFAS in environmental matrices has become a significant concern. Due to their hydrophobic and lipophobic nature, PFAS are easily mobilized in the environment, and their resistance to degradation leads to ubiquitous contamination of water, soil, wildlife, and food sources.9
Among the various types of PFAS, long-chain compounds, such as perfluorooctanesulfonic acid (PFOS) and perfluorooctanoic acid (PFOA), characterized by their long-fluorinated carbon chain, are often referred to as “legacy PFAS” and are considered persistent organic pollutants (POPs).8,10 The chemical structures of PFOA and PFOS are shown in Fig. 1. These compounds are particularly concerning due to their toxicity, bioaccumulation potential, and long-term environmental persistence.11,12 The toxicity of PFAS, especially in relation to their endocrine-disrupting effects and carcinogenicity, has driven regulatory agencies to phase out or restrict the use of these chemicals, particularly in industrial applications and consumer products. In contrast, short-chain PFAS typically refer to compounds such as sulfonates with five or fewer carbon atoms, and carboxylates with seven or fewer carbon atoms. Short-chain PFAS have emerged as alternatives to legacy compounds, becoming increasingly prevalent due to regulatory bans on their longer-chain counterparts.13,14 However, their environmental behaviour and toxicity are still under investigation, as they are often more mobile and can more readily accumulate in living organisms.15,16 Additionally, while short-chain PFAS may exhibit similar functional properties to long-chain compounds, higher concentrations are often required to achieve equivalent performance, further complicating toxicity assessments and regulatory guidelines.17,18 Among the different categories of PFAS, two major subgroups: perfluorocarboxylic acids (PFCAs) and perfluorosulfonic acids (PFSAs) represent some of the most encountered PFAS in environmental contamination studies.19,20 The increasing recognition of their environmental and health risks has prompted calls for comprehensive monitoring, remediation strategies, and the development of cost-effective and efficient analytical methods for PFAS detection.21,22 However, a significant knowledge gap remains regarding the full scope of PFAS toxicity, particularly concerning novel, short-chain variants and their long-term ecological and human health implications.
PFAS contamination is also widespread in soils globally, often entering surface and groundwater through waste disposal, industrial activities, agricultural runoff, and PFAS-containing products. These compounds are primarily ingested by humans through contaminated food, water, skin contact, and inhalation.23–26 Their bio-accumulative nature, combined with exceptional environmental persistence, makes PFAS particularly concerning, as they do not break down over time and can accumulate in the human body and ecosystems for decades.27–29 Studies have shown that PFAS concentrations in some water sources exceed established safety thresholds, contributing to growing public health concerns.30 Given their widespread presence and persistence, PFAS are implicated in a variety of health risks. These include thyroid dysfunction, immune system suppression, liver toxicity, kidney disease, developmental delays, and an increased risk of cancers.31,32 Epidemiological studies have shown links between PFAS exposure and adverse health outcomes such as reduced vaccine efficacy, changes in liver enzymes, and elevated cholesterol levels.25,33,34 Additionally, wildlife, especially aquatic species, is severely affected. PFAS accumulate in fish, shellfish, and marine mammals, leading to trophic transfer through the food chain.4 For example, polar bears, seals, and dolphins exhibit high concentrations of PFAS in their tissues, further exacerbating ecological concerns.35,36 As aquatic ecosystems are increasingly contaminated, bioaccumulation of PFAS poses a long-term threat to biodiversity and ecosystem function.
While the extensive environmental presence of PFAS is alarming, these compounds remain indispensable in many industrial applications, such as fire suppression, manufacturing, and consumer products like non-stick cookware and waterproof textiles. Despite growing concerns, their widespread use continues due to their unique properties. This creates a complex regulatory challenge. The U.S. Environmental Protection Agency (USEPA) has set a health advisory limit of 70 ng L−1 for PFOS and PFOA in drinking water, yet the broader spectrum of PFAS compounds complicates regulation.37,38 New PFAS compounds, some of which are not well studied, can break down into even more harmful substances, further complicating monitoring efforts. Moreover, some newer PFAS alternatives have not been extensively evaluated for their environmental and health impacts.3 With increasing regulatory pressure and public concern about PFAS contamination, the need for robust and accessible analytical methods has become ardent. Many of the existing detection techniques, while accurate, have significant limitations that hinder their widespread adoption and application in environmental monitoring. Standard laboratory methods, such as high-performance liquid chromatography coupled with tandem mass spectrometry (HPLC-MS/MS), are widely regarded as the gold standard for PFAS detection due to their sensitivity, specificity, and ability to quantify a wide range of PFAS compounds.39,40 However, these techniques are expensive and require highly specialized equipment and skilled personnel, making them impractical for routine, large-scale environmental testing or use under field conditions.13,41 The complexity of the analysis, combined with the time-consuming nature of the process (which can take hours to days), limits the ability to quickly assess contamination in real time. In addition, these laboratory methods can struggle to detect newer, less-studied PFAS compounds or their degradation products, especially given the vast number of PFAS variants and the continuous development of new chemical formulations.42,43 In contrast, sensor technologies such as electrochemical, optical, and fluorescence-based sensors are portable and cost-effective, and provide real-time, in situ monitoring, allowing for immediate data collection without the need to send samples to a laboratory. This makes sensors ideal for large-scale, on-site environmental assessments, enabling quicker response times and better management of contamination.44,45 Despite the potential of sensor-based technologies for PFAS detection, challenges persist in ensuring their accuracy across the diverse range of PFAS compounds. The chemical variability, persistence, and interactions of PFAS with environmental matrices require sensors to be highly specific and sensitive to detect these pollutants under varying conditions.46,47
This study provides an in-depth evaluation of current detection methods, challenges faced in widespread PFAS identification, and the potential of emerging sensor technologies. By highlighting the latest advancements in real-time, field-based monitoring, this research aims to contribute to the development of more effective, accessible solutions for PFAS contamination assessment and regulatory compliance. Addressing the growing issue of PFAS contamination requires not only improved detection technologies but also a more comprehensive regulatory framework that considers the entire lifecycle of these pollutants and their ever-expanding array of chemical variants.
The US Senate has approved further PFAS regulation legislation. The resolution mandates that the Defense Department cease deploying AFFFs carrying PFAS on October 1, 2023. The existing drinking water restriction of 70 ng L−1 for PFOA and PFOS lacks an appropriate enforcement mechanism, and manufacturers have already gradually discontinued using these substances.52 On April 10, 2024, the USEPA finalized the National Primary Drinking Water Regulation (NPDWR) for six PFAS, including PFOA and PFOS, establishing the first national, legally enforceable maximum contaminant levels (MCLs) for these chemicals in drinking water. Public water systems were given until 2029 to comply with these regulations, which require both monitoring and treatment to reduce PFAS concentrations to or below the specified limits. These standards are anticipated to significantly reduce PFAS exposure, preventing thousands of deaths and tens of thousands of serious PFAS-attributable illnesses.53,54
The Environmental Working Group in the US commissioned laboratory testing in 2019 that revealed PFAS to be present in the drinking water of dozens of American communities with varying population numbers and geographical locations. The examination encompassed 30 PFAS chemicals, with detection levels varying from 0.3 to 2.0 ng L−1. Combined PFAS concentrations constituted the range lower than 1 ng L−1 to 185 ng L−1.55 Having been considered the overall stats, these data suggest that Americans are exposed to PFAS from tainted tap water far more than the USEPA testing protocol indicates. In another research study, one sample had no PFAS at all, and two others had aggregate PFAS levels of less than 1 ng L−1 out of 44 potable water samples across 31 states and districts of Columbia. All PFAS detected in twenty sites were below the quantification limit but over the testing facility limit of detection. Samples from significant cities, such as New York, contained a few of the most elevated PFAS levels found. The USEPA and state government organizations have not made reports of PFAS contamination in 34 locations public, where the research identified it.56
The Organization for Economic Co-operation and Development (OECD) conducted a preliminary study to find out the number of PFAS available in the worldwide market to discover which ones are utilized in the EU and the UK. Between January 2017 and February 2018, this record was compiled, containing 4730 PFAS that were utilized in the worldwide market.57 77 of these PFAS have been registered for use in accordance with the REACH Regulation. REACH (Registration, Evaluation, Authorisation and Restriction of Chemicals) is the European Union regulation that governs the management and restriction of chemical substances. Any chemical produced or brought into the EU that weighs more than one tonne annually must register under the REACH law. As a result, it was decided that the PFAS listed in REACH dossiers had the greatest bearing on Europe and, consequently, Wales and England.58 Five of the 77 PFAS were duplicates as they belonged to various bands. As a result, the OECD (2018a) identified a final list of 72 PFAS that are utilized, manufactured, imported, or exported inside Europe. Overall, the information gathered from the literature suggests that it is improbable that any one of the PFAS will be present in drinking water at concentrations higher than 0.1 μg L (100 ng L−1). Based on simulated data, it can be concluded that most PFAS might not be expected to surpass a drinking water threshold of 0.1 μg L−1 if a norm were to be imposed for any one PFAS. The framework does, however, still need verification, and for those PFAS that are expected to be above the potable water threshold, it could be prudent to conduct targeted assessments of drinking water close to PFAS emission sites.57
The European Commission (EC) has designated PFOS and its derivatives as highly perilous compounds, and PFAS as emerging organic pollutants. To evaluate the quality of the environment, the EC set a threshold concentration for per- and polyfluoro caustic soda in drinking water and fish through the Water Framework Directive in 2012. Additionally, in 2013, the EC defined the Environmental Quality Standards to gauge the concentrations of PFOS in water bodies and biological communities. The average yearly concentration limit for water bodies is 0.65 ng L−1, while the highest permissible concentration is 36 μg kg−1 and 9.1 μg kg−1 for biological systems.59 According to Janousek et al. investigation of time-varying and general trends in the prevalence of PFAS, the highest levels and recognition frequency of PFOA decreased over the research period, but the rate of short-chained PFAS identification rose, particularly after 2014.21 Significant levels of PFAS have been documented in aquatic life, debris, and water of the Spanish waterways of the Guadalquivir and Ebro. The highest amount of PFAS detected in water samples from these locations ranged between 251.3 ng L−1 and 742.9 ng L−1.60 According to Llorca et al., PFAS were found in 54% of tap water samples, with values ranging from 2.4–27 ng L−1 in 32 German and Spanish towns. Eighty-eight percent of the 148 water samples that had their 21 PFAS content measured had a minimum of one detectable quantity of the chemical.61
Talking about the prevalence of PFAS in Asian countries, Tan et al. (2017) measured the amounts of 17 PFAS in water from large lakes and rivers that supply potable water to Eastern China.62 64 samples from cities, 51 water samples from rivers, and 45 samples from lakes were examined. The overall amount of PFAS in the tap water varied from 1.4 to 175 ng L−1, but the most concerning finding was that the drinking water quality threshold was surpassed by the PFOA levels (115–151 ng L−1) discovered in the potable water supply of 3 districts in Hangzhou. Pan et al. investigated the fate of 18 PFAS in the cycle of urban water in water treatment plants (WWTPs) and drinking water treatment plants (DWTPs) in Guangzhou.63 The total PFAS concentrations in the DWTPs ranged from 3.34 to 13.9 ng L−1 in effluents. As such, short-term interaction with PFAS discovered in potable water did not immediately endanger the well-being of humans. Other research studies have also been carried out to learn more about the prevalence, origins, and concentrations of PFAS from important drinking water sources in Tianjin,64 Fuxin,65 and Beijing.66
Takagi et al. (2011) assessed the concentrations of PFOA and PFOS in water samples taken from multiple Osaka-based water purification facilities that were employing cutting-edge water treatment technology at each stage of the drinking water treatment procedures. In all completed water tests, both PFAS were found at concentrations ranging from 1.3 to 3.7 ng L−1 for PFOS and from 6.5 to 48 ng L−1 for PFOA.67 Sharma et al. evaluated 21 PFAS forms of prevalence in drinking water reservoirs used by the local people in different Ganges River areas in India. All samples had detectable levels of perfluorohexanoic acid (PFHxA) and perfluoroheptanoic acid (PFHpA), which ranged from 0.8 to 4.9 ng L−1 and 0.5 to 3.5 ng L−1, respectively.68 Thompson et al. assessed the amount of PFAAs that are consumed daily in relation to potable water. At thirty-four regions, 62 samples were taken straight from the potable water taps. According to estimates, drinking water contributed an average of 2–3% of PFOS and PFOA, with highest amounts of 22% and 24%, respectively.69
Authorities worldwide should create more firm regulations, establish PFAS as a class rather than as distinct compounds, and limit the use of PFAS to essential applications while encouraging their phase-out, considering the lack of data about the adverse consequences of short-chain PFAS exposition.70 Furthermore, there is a great deal of ambiguity around PFAS monitoring because of several variables, such as source variability and sample location selection. Because there is currently a dearth of solid, trustworthy, and repeatable evidence, these substances are not controlled.
Chromatographic methods, when coupled with mass spectrometry (MS), are currently the most used techniques for PFAS analysis due to their high sensitivity and selectivity. The liquid chromatography-tandem mass spectrometry (LC-MS/MS) method allows for the separation and identification of individual PFAS compounds within complex environmental samples, offering precise quantification even at trace levels. Solid-phase extraction (SPE) is often employed in conjunction with LC-MS/MS to concentrate PFAS from water samples and improve the sensitivity of detection.73,74 In addition, gas chromatography-mass spectrometry (GC-MS) is a frequently applied technique, particularly for volatile PFAS, although it is generally less effective for non-volatile, high-molecular-weight compounds.75 These chromatographic methods, while highly effective, require significant sample preparation, skilled personnel, and advanced instrumentation, which can limit their applicability for routine environmental monitoring, particularly in resource-limited settings.40,76
The prevailing gold standard for the detection of PFAS relies on mass spectrometry in conjunction with chromatographic techniques. In 2009, the US EPA released “Method 537,” an official analytical procedure that uses SPE to allow LC-MS/MS to assess potable water for 14 distinct PFAS, including PFOA and PFOS.77 The EPA released “Method 533,” an enhanced analytical technique in November 2019 that places greater emphasis on the identification of “short chain” PFAS. To increase the quality and specificity of the data collected, Method 533 makes use of isotope dilution anion exchange solid phase extraction and MS in multiple reaction monitoring (MRM) mode.78 These methods provide reliable data for regulatory compliance, but are time-consuming and costly, making them unsuitable for widespread, real-time monitoring.
In addition to the development of new detection methods, there has been growing interest in surrogate techniques that focus on the total PFAS contamination, rather than individual compounds. Methods such as liquid–liquid extraction (LLE),79 ion-pair extraction (IPE),80 and solid-phase microextraction (SPME)74 have been employed to capture a broader range of PFAS, including transformation products and other related compounds. These techniques, while effective in detecting total PFAS content, do not provide specific information about individual compounds, which can limit their utility for targeted risk assessments and regulatory compliance.81 While current analytical techniques such as LC-MS/MS remain the most accurate and reliable methods for PFAS detection, their complexity, high costs, and laboratory dependency hinder their widespread application. Sensor-based systems, offer promising solutions for real-time, field-based monitoring of PFAS. However, challenges related to sensitivity, specificity, and environmental interference of sensors are being addressed before these technologies can fully replace traditional methods for PFAS analysis. Continued research and development are ongoing to improve sensor performance, reduce costs, and enhance the ability of these systems to detect a broader range of PFAS compounds in diverse environmental matrices.
The development of effective PFAS sensors faces several scientific and technical challenges. First, many of the current sensors exhibit detection limits that are insufficient to meet the ultra-low concentrations of PFAS mandated by regulatory agencies, especially in environmental samples that require high sensitivity (sub-ppt or femtomolar range).84 Furthermore, interference from various environmental factors—such as particulate matter, dissolved organic compounds, and salts—can degrade the performance of sensors, making it difficult to achieve reliable measurements in complex matrices. Addressing these challenges requires the development of new sensor materials and recognition elements that offer enhanced selectivity and sensitivity. Nanomaterials, such as carbon nanotubes, graphene, and metal–organic frameworks, have shown great promise for enhancing the performance of sensors by providing increased surface area for adsorption and improving the stability and reproducibility of sensor responses.85
PFAS compounds vary widely in terms of chain length, functional groups, and hydrophobicity, which complicates the development of a single detection method that can simultaneously recognize all relevant PFAS species.86 As a result, there is an increasing need for multi-functional or multi-modal sensor platforms that can detect various PFAS subclasses such as long-chain versus short-chain compounds, or those with different functional groups. In addition, for sensors to be deployed in real-world applications, they must be designed with robustness, durability, and ease of integration into existing monitoring frameworks.87 It is essential to ensure that sensor systems can be operated in a range of environmental conditions, such as varying pH, temperature, and ionic strength, while maintaining high levels of accuracy and reliability. Sensors also need to demonstrate long-term stability and reproducibility, ensuring consistent performance over time, especially when used for routine monitoring in diverse settings.82,88–90 The integration of sensors into environmental monitoring programs, water quality management systems, and public health assessments will not only provide more frequent and accurate data on PFAS contamination but will also facilitate the early identification of PFAS hotspots, enabling timely intervention and remediation strategies. The successful commercialization of PFAS sensors will have a transformative impact on the way we monitor and manage PFAS pollution, ultimately protecting human health and the environment from the pervasive and persistent threats posed by these compounds. Here, we overview the state-of-the-art PFAS detection assays and sensors, based on their detection mechanisms.
A recent study by Park et al. introduced a SERS-based sensor combining self-assembled polydiacetylene (SAp-PD) for the ultra-sensitive detection of PFOA.95 Detection relied on SERS intensity changes caused by SAp-PD conformational disruption upon binding to PFOA. The sensor achieved a low detection limit of 1.28 pM in distilled water and showed high selectivity against other fluorinated compounds. Practical applicability was demonstrated by detecting 1.69 nM PFOA in extracts from rice cooked on a damaged, PFOA-coated frying pan. This approach shows strong potential for early-stage detection of perfluorinated compounds in real-world samples. A SERS-based method using optimized Au@Ag nanorods enabling rapid, sensitive PFAS detection with a limit of 0.1 ppm was developed by Feng et al.96 The sandwich structure with AgNPs enhanced the SERS signal 3.6-fold over a monolayer, allowing dynamic capture of PFAS at hot spots. The assay, compatible with portable Raman devices, delivers results in under 30 minutes. While in situ detection is limited, the sensor shows strong potential for fast, field-based PFAS monitoring.
A fluorescent sensing array developed by Chen and colleagues enables rapid screening and differentiation of six distinct PFAS types in water.97 This array utilizes three highly stable zirconium porphyrinic metal–organic frameworks (MOFs), known as PCNs, each exhibiting different topological structures. The sensing principle is based on the static fluorescence quenching of PCNs by PFAS molecules upon adsorption. Because each PFAS interacts with the PCNs with varying affinities, their distinct fluorescence patterns serve as a basis for differentiation. Notably, the organized pore structure of the PCN sensors facilitates quick diffusion, resulting in a rapid reaction time—less than 10 seconds for PFAS detection. In a study by Dalapati et al., a fluorescent PDI-based MOF (U-1) was developed for PFOA detection via a fluorescence turn-on response.98 U-1 showed high chemical stability and selectivity for PFOA in both solution and solid phases. When deposited on filter paper, the MOF achieved a detection limit of 3.1 nM, aided by solid-phase extraction. The sensing mechanism involves complexation between the carboxylic group of PFOA and zirconium centres, along with hydrophobic interactions with the PDI ligand. This work highlights the promise of PDI-based MOFs for selective PFAS detection, with potential for further tuning via ligand and pore design. In another study, Niu et al. introduced a novel sensing method that employs poly(ethylene glycol)-terminated (PEG-thiols) and perfluoroalkyl-terminated (F-thiols) alkanethiol-modified gold nanoparticles (Au@PEG-F NPs) to detect perfluorinated chemicals (PFCs) in water samples.99 The PEG-thiols ensure that the gold nanoparticles remain well-dispersed and stable in solution, while the F-thiols promote strong fluorous–fluorous interactions, which cause PFCs to adsorb onto the nanoparticles. Combined with UV-vis spectrophotometry, the system demonstrates a broad linear detection range and is sensitive even at concentrations as low as 10 μg L−1, making it an effective and affordable technique for quantifying PFCs in environmental samples.
Amplifying fluorescent polymers (AFPs), which are highly fluorinated polymers based on poly(p-phenylene ethynylene) and polyfluorene backbones, incorporate pyridine selectors that undergo proton-transfer reactions with PFAS, resulting in red-shifted fluorescence due to exciton trapping. Concellon et al. developed AFPs for selective detection of aqueous PFOA and PFOS at low concentrations, reaching ng L−1 levels. AFP films detected PFAS at ∼1 ppb, while nanoparticle forms achieved ∼100 ppt sensitivity. Notably, the performance was consistent across various water types, including DI, MilliQ, and well water. Although further refinement is needed to meet regulatory limits, this platform shows strong potential for on-site PFAS detection in contaminated environments.100
Faiz et al. explored a simple yet effective sensor fabrication technique using a liquid precipitation-based phase inversion method to deposit a thin polyvinylidene fluoride (PVDF) layer on freshly cut optical fibers101 (Fig. 2a). The β-phase of PVDF, which is electrically charged, enhances hydrophobic and dipole–dipole interactions with PFAS, particularly at binding sites. This sensor was able to detect PFOA with sensitivity measured through changes in the optical path difference, yielding a response range of 0.9–5 nm ppm−1 for PFOA concentrations. In a similar vein, Pitruzzella et al. designed an optical fibre sensor intended for ultra-low detection of PFOA in aqueous environments102 (Fig. 2b). This system integrates molecularly imprinted polymers (MIPs) and surface plasmon resonance (SPR) technologies, using a plastic optical fibre (POF) as the platform. The PFOA–MIP interaction within the fibre's micro-holes causes a shift in SPR phenomena, enabling the sensor to detect PFOA with high sensitivity. Cennamo et al. later built on this work, developing an SPR–POF–MIP sensor to enhance PFAS detection using MIPs as a receptor material103 (Fig. 2c). The MIP receptors, which can be easily deposited on a gold layer, provide a stable, repeatable, and cost-effective solution for PFAS detection.
Another promising method for PFAS detection involves carbon quantum dots (CQDs), as explored by multiple research teams. Jiao et al. and Walekar et al. utilized MIPs and nanoparticle-doped quantum dots (QDs) as fluorescence probes for PFAS detection.104,105 Zheng et al. advanced this approach by creating a photoluminescence sensor based on core–shell QDs coated with an MIP shell, specifically designed for PFOA detection.106 The QD–MIP composite showed both high specificity and stable photoluminescence, with PFOA molecules effectively quenching the fluorescence. This sensor demonstrated excellent linearity (0.25–15.00 μmol L−1) and a limit of detection (LOD) of 25 nmol L−1 (∼10 ppb), proving its reliability for detecting trace amounts of PFOA in environmental water samples. Chen et al. further investigated the interaction between carbon dots and PFOS, revealing that they form a ground-state complex that alters fluorescence, resonant light scattering (RLS), and UV-vis absorption signals107 (Fig. 2d). These signal changes correlate directly with PFOS concentration, providing a highly sensitive detection method with a fluorescence LOD of 18.27 nmol L−1. Building on this, the research group employed a dual-recognition technique using carbon dots and ethidium bromide for ratiometric sensing of PFOS.108 In a similar study, the researchers proposed a highly specific fluorescence-based detection method for PFOS using carbon dots and berberine chloride hydrate (BH).109 In this system, the addition of PFOS caused a noticeable fluorescence shift from blue to light yellow, allowing for clear visual detection of PFOS with high specificity. A summary of recent development in optical sensors for detection of different types of PFAS is presented in Table 1.
| Type of PFAS detected | Electrode material/matrix | Detection mechanism | LOD | Linear range | References |
|---|---|---|---|---|---|
| PFHxA – perfluorohexanoic acid; PFHpA – perfluoroheptanoic acid; PFNA – perfluorononanoic acid; PFDA – perfluorodecanoic acid; PFC – perfluorinated compounds; MOF – metal organic framework; PEG – polyethylene glycol; POF – plastic optical fiber; QD – quantum dot; NPs – nanoparticles. | |||||
| PFHxA (C-6), PFHpA (C-7), PFOA (C-8), PFNA (C-9), PFDA (C-10), PFOS (C-8) | Zirconium porphyrinic-based MOF | Static fluorescence quenching of MOFs by PFAS upon their adsorptive interactions | 10–8 mol L–1 (0.0041 ppb) | 0.1–2 μg mL–1 for PFHpA and PFNA; 0.1–1 μg mL–1 for PFDA and PFOS | 97 |
| PFCs | PEG-thiols + F-thiols + gold nanoparticles | Insolubility of Au@PEG-F NPs and precipitation due to the superhydrophobicity of perfluorocarbon monolayers, leading to color and absorbance response | 10 μg L–1 (10 ppb) | 0.011–13.8 μmol L–1 | 110 |
| PFOA (C-8) | Polyvinylidene fluoride coated optical fibres | Dipole–dipole and hydrophobic interaction | 178 ppb | — | 111 |
| PFOA (C-8) | D-shaped POF + MIP | Variation in the plasmonic response that occurs in a multimode POF | 0.81 ppt | — | 102 |
| PFOA, PFOS (C-8) | D-shaped POF + photoresist buffer layer + gold film | Molecular recognition | 0.13 ppb | — | 103 |
| PFOA (C-8) | D-shaped POF + MIP | Ionic interaction and van der Waals | 0.5 ppb | — | 112 |
| PFOA (C-8) | Graphitic carbon nitride nanosheets + MIP | Electrochemiluminescence | 0.01 ng m L−1 (0.01 ppb) | 0.02 to 40.0 ng mL−1 | 113 |
| PFOS (C-8) | MIP + chitosan + carbon QDs | The sulfonate group of PFOS can form a complex with the amino group through hydrogen bonding or electrostatic reaction, which can enhance the conjugation degree of H2N-passivated CQDs | 85 pg·L−1 (0.085 ppb) | 20–200 pg L−1 | 114 |
| PFOA (C-8) | Core–shell QDs + MIP | Photoluminescence | 25 nmol L–1 (10.4 ppb) | 0.25–15.00 μmol L–1 | 115 |
| PFOA (C-8) | Carbon QDs + selenium + nitrogen | Fluorescence quenching | 1.8 μM (745 ppb) | 10–70 μM | 116 |
| PFOS (C-8) | Carbon QDs | Triple channel fluorescence | 18.27 nmol L–1 (7.6 ppb) | 0.5–12 μmol L–1 | 107 |
| PFOS (C-8) | Nitrogen doped carbon QDs + ethidium bromide | Fluorescence and second-order scattering | 27.8 nM (11.5 ppb) | 0–2.0 μM | 108 |
| PFOA (C-8) | Cadmium sulphide QDs | Fluorescence quenching | 0.3 μmol L−1 (1 ppb) | 0.5 to 40 μmol L−1 | 117 |
| PFOS (C-8) | Carbon dots + berberine chloride hydrate | Fluorescence quenching | 21.7 nmol L–1 (9 ppb) | 0.5–40 μmol L–1 | 109 |
| PFOS (C-8) | SiO2 NPs | Acid–base pairing and hydrogen-bond interaction | 5.57 μg L−1 (5.57 ppb) | 5.57–48.54 μg L−1 | 118 |
| PFOA (C-8) | Polystyrene + gold NPs | Interparticle aggregation leading to colour change | 100 ppm | — | 119 |
| PFOA (C-8) | Perfluorosilane-functionalized nano-porous anodic alumina | Fluorous interaction induced Freundlich mechanism | 0.53 μg m L–1 (530 ppb) | — | 120 |
To monitor the presence of PFOA/PFOS in seawater, Cennamo et al. developed, implemented, and evaluated an innovative biosensing system that utilized an optical fibre in conjunction with a proprietary antibody as a bio-receptor (Fig. 3c). One key advantage of this method is its ability to monitor perfluorinated chemicals in natural environments by leveraging the remote sensing capabilities of optical fibres. The system demonstrated both high selectivity and a low detection limit for PFOA/PFOS, achieving sensitivity levels below 0.21 ppb in seawater.125
In terms of molecular recognition, it is more likely that the perfluoroalkyl chain, rather than the terminal functional group, plays a primary role in the binding interaction between PFOA and the aptamer. Given the wide variety of fluorinated contaminants and persistent flame-retardant substances within the PFAS class—differing in alkyl chain lengths, functional groups, and degrees of fluorination—there remains a pressing need for further research to develop aptamers with high specificity for distinct PFAS structures. Addressing this, Park et al. demonstrated that a fluorescence-based aptasensor can serve as a promising tool for PFAS detection (Fig. 3d).126 They developed a sensor by isolating ssDNA aptamers with high affinity for PFAS compounds, enabling the fluorescence-based identification of PFOA. Their work highlights the potential of aptamer-based biosensors for the rapid, sensitive, and selective detection of PFAS and related fluorinated substances in environmental samples.
Peroxisome proliferator-activated receptor alpha (PPARα) is a nuclear receptor and transcription factor that plays a central role in the regulation of lipid metabolism, energy homeostasis, and inflammation. It is predominantly expressed in tissues with high fatty acid oxidation activity, such as the liver, heart, kidneys, and muscle. Many PFAS compounds can bind to and activate PPARα, leading to disruptions in lipid metabolism and other hepatic functions. Screening for PFAS that interact with PPARα is important because the binding affinity not only helps assess the potential metabolic toxicity of PFAS but also provides a mechanism-based biomarker for detection and risk assessment. Several types of PPARα ligands in the environment, including PFOS and PFOA, pose significant risks to human health. One promising method for screening PPARα ligands in ecological matrices involves a bioassay using modified nanogold probes that are sensitive to PPARα-responsive components (Fig. 3a).127 This bioassay is highly advantageous due to its exceptional sensitivity and broad detection range, making it particularly useful for identifying a variety of previously unidentified specimens. For cases where further analysis is required to determine the concentration of a specific compound, positive samples can be followed up with LC-MS (liquid chromatography-mass spectrometry) analysis.
When PFOS binds to PPARα, it can interact with PPAR response elements (PPREs) and form heterodimers with retinoid X receptors (RXRs). Zhang et al. developed a bioassay that utilizes immobilized PFOS on ELISA plates to compete with free PFOS in water samples for a fixed amount of PPARα–RXRα (Fig. 3b).128 The complex formed by PPARα–RXRα and PFOS can be indirectly quantified by binding it to a secondary plate coated with a PPARα antibody. The amount of PPARα–RXRα complex is then measured using biotin-modified PPARα–RXRα probes, quantum dots, and a streptavidin detection system. This method provides a sensitive and reliable means to assess PFOS binding and its potential to activate PPARα in environmental samples.
The immobilization of biomolecules onto screen-printed electrodes presents a persistent challenge in biosensing technologies. To address this issue, Moro et al. functionalized graphite-based screen-printed electrodes (G-SPEs) by electro-polymerizing pyrrole-2-carboxylic acid (Py-2-COOH), a pyrrole derivative containing multiple carboxyl functional groups, thus enhancing the electrode's bio-interfacing capabilities.129 In a proof-of-concept study, delipidated human serum albumin (hSA) was employed as a bio-receptor for the development of an impedimetric sensor targeting PFOA. Preliminary data from this work underscore the potential of this electrochemical biosensing platform for high-throughput analytical applications and toxicological screening, suggesting avenues for further optimization and integration into environmental monitoring assays. A summary of recent development in biosensors for detection of different types of PFAS is presented in Table 2.
| Type of PFAS detected | Electrode material/matrix | Detection mechanism | LOD | Linear range | References |
|---|---|---|---|---|---|
| PPARα – peroxisomal proliferator-activated receptor-α; MEHP – mono-(2-ethylhexyl) phthalate; ssDNA – single stranded deoxyribose nucleic acid. | |||||
| PFOS, PFOA (C-8) | Regulatory and response genes | Genetically engineered bacteria | 10–1000 ng L–1 (10–1000 ppt) | — | 130 |
| PFOA (C-8) | Graphite screen printed electrodes + pyrrole-2-carboxilic acid | Covalent immobilization of biomolecular recognition layers | — | — | 129 |
| PFOA (C-8) | Human liver fatty acid binding protein + circularly permuted green fluorescent protein | Electrostatic interactions and fluorescence | 236–330 ppb | — | 131 |
| PFOS, PFOA, (C-8) MEHP | PPARα + gold nanoparticles | Ligand–receptor interaction | 10 pM (1 ppb) | 100 pM to 1 μM | 127 |
| PFOS (C-8) | PPARα + quantum dots | Ligand–receptor interaction | 2.5 ng L−1 (0.0025 ppb) | 2.5–75 ng L−1 | 132 |
| PFOA (C-8) | ssDNA aptamers | Aptamer folding | 0.17 μM (70.4 ppb) | 0–75 μM | 133 |
| PFOS (C-8) | Multi-walled carbon nanohorns + glassy carbon electrodes | Inhibition influence | 1.6 nmol L–1 (0.8 ppb) | 5 to 500 nmol L–1 | 134 |
| PFOS, PFOA (C-8) | Ad hoc antibody + optical fibre | Bio-receptor | 0.2 ppb | — | 125 |
To detect PFAS at sub-nanomolar concentrations, next-generation sensors are essential. The electrochemical properties of PFAS species offer a scalable platform for the detection of analytes at concentrations below 10 nM. A promising advancement in this field is the surface modification of electrodes using MIPs, which has garnered considerable interest. Clark et al. demonstrated the application of MIP-based carbon electrode sensors for the quantification of PFOS in river water141 (Fig. 4a). In their study, differential pulse voltammetry (DPV), the gold standard for electrochemical measurements, was initially employed for detection. However, their results also highlighted the advantages of electrochemical impedance spectroscopy (EIS) over traditional voltammetry. Notably, the authors demonstrated that EIS outperformed DPV in terms of sensitivity and reduced measurement uncertainty. EIS effectively mitigated the influence of liquid resistance, which is particularly relevant in complex matrices such as river water, thereby enhancing the reliability of PFOS detection.
Karimian et al. developed a highly sensitive electrochemical sensor for trace-level detection of PFOS by electrodepositing a MIP onto the surface of gold electrodes (Fig. 4d). The sensor leverages the principle of competitive binding, where PFOS, despite lacking a net electrical charge, competes with the electroactive probe ferrocenecarboxylic acid for the MIP's molecular recognition sites.142
Similarly, Glasscott et al. introduced a MIP-modified microelectrode sensor for the quantification of GenX, a widely distributed PFAS contaminant (Fig. 4c).143 To create specific molecular recognition sites, an o-phenylenediamine layer was electro-polymerized on the electrode surface, followed by solvent extraction to generate GenX-specific binding cavities. Their sensor exhibited a linear decrease in current with increasing concentrations of GenX, with ferrocene methanol oxidation serving as the electrochemical indicator. This system also incorporated oxygen reduction as a secondary sensing mechanism, demonstrating its capability to operate in moderately resistive ecological matrices. This makes the MIP-based microelectrode sensor a promising tool for the in situ detection of PFAS in environmental water. Most studies employ ortho-phenylenediamine (o-PD) for MIP polymerization networks due to its facile electropolymerization forming thin, uniform, stable films with precise imprinted cavities, excellent selectivity, mechanical strength, and pH/temperature tolerance—cost-effective for PFAS sensors. Other monomers include pyrrole, aniline, methacrylic acid (MAA), acrylamide (AAM), and EDOT derivatives, though o-PD dominates for electrochemical reproducibility.
Lu et al. introduced an ultra-sensitive electrochemical sensor for PFOS detection, which combines a glassy carbon electrode modified with a thin layer of gold nanostars and an electropolymerized MIP (Fig. 4e).144 The incorporation of gold nanostars enhanced the voltammetric response due to improved electrical conductivity and catalytic activity, particularly during the oxidation of ferrocenecarboxylic acid, a redox probe. The MIP layer was finely tuned to optimize sensor performance, allowing for enhanced sensitivity. However, interference from PFBA and PFBS was observed, leading to an approximate 10% underestimation of their concentrations. Despite this, the sensor showed robust performance for PFOS detection, with potential for the initial screening of unknown samples and the ability to offset interference effects in complex PFAS mixtures. Hafeez et al. developed a redox-active MIP platform based on electropolymerized EDOT–TEMPO on a glassy carbon electrode, exhibiting selective binding to PFOA via charge-assisted hydrogen bonding, which suppressed the redox activity of the TEMPO moieties. EDOT–TEMPO is a monomer consisting of a 3,4-ethylenedioxythiophene (EDOT) core modified with a stable 2,2,6,6-tetramethylpiperidine-1-oxyl (TEMPO) radical group that aids in electropolymerization. This suppression led to a concentration-dependent decrease in current density, enabling sensitive quantification with a detection limit of 0.28 ng L−1 and high selectivity against other PFAS.145 Notably, Amin et al. demonstrated AC electrokinetic (ACET) acceleration with a MIP on gold interdigitated electrodes, achieving ultra-sensitive PFOS detection (0.5 fg L−1 LOD in 10 s) via capacitance changes during selective binding, with 105
:
1 selectivity over PFOA. This work highlights ACET's role in enhancing enrichment and response speed, which is required for field-deployable PFAS monitoring.146
In another advancement, Solís et al. developed an electrochemical sensor utilizing a self-assembled monolayer of perfluorodecanethiol (PFDT) on gold nanoparticles deposited on glassy carbon electrodes for the selective detection of PFOA.147 The sensor demonstrated exceptional sensitivity, detecting PFOA at concentrations as low as parts per trillion (ppt). The electrochemical response was stable and reproducible, even in the presence of other perfluorinated compounds (PFCAs) and PFOS. Nanocomposites like MXene–AgNPs have shown strong potential as electrochemical sensors for PFAS detection using EIS. These materials selectively bind long-chain PFAS, inducing concentration-dependent changes in charge-transfer resistance, enabling quantification at parts-per-quadrillion (ppq) levels. Khan et al. demonstrated a high specificity sensor, with no interference from structurally similar compounds or common water constituents. Compared to conventional LC-MS/MS techniques, their platform offers a rapid (∼5 min), low-cost, and portable alternative for on-site PFAS screening.148 While MXene–AuNP sensors achieve ultra-low LODs, their linear ranges typically cover wastewater-relevant PFAS levels (ppt–ppb) but may saturate at highly contaminated sites (for e.g. >10 ppb), limiting their utility without dilution, highlighting the need for sensors with a low detection range.
Cheng et al. developed an integrated strategy for the tailored affinity-based capture of PFOS by incorporating permeable sorbent probes into a microfluidic device, significantly enhancing detection sensitivity.149 The system operates as an electrochemical sensor, providing direct measurement of PFOS concentration through a proportional change in current. The authors employed chromium-based MOFs to selectively capture PFOS, exploiting the chromium's strong affinity for both the fluorinated terminal groups and the sulfonate moiety (Fig. 4b). These MOF-based capture probes were strategically positioned between interdigitated microelectrodes within the microfluidic channel, addressing the need for an ultra-sensitive PFOS detection method suitable for real-time and in situ analysis. Another approach by Tian et al. utilizing a fluorine-functionalized Ce-UiO-66 MOF on a glassy carbon electrode (GCE) was developed for selective PFOA detection in water.150 The modified electrode leveraged electrostatic, anion–π, and fluorophilic interactions to enhance affinity toward PFOA, which blocked the interface and reduced the redox probe current. Quantification via Langmuir and Freundlich–Langmuir models yielded a wide detection range (0.4–450 nM) and a low detection limit (0.048 nM). While the method is promising for miniaturized sensors, further optimization of MOF structures and interface design is needed to enhance specificity, especially under complex environmental conditions. Additionally, deeper investigation into signal transduction mechanisms for electrochemically inert PFAS will be essential for advancing MOF-based sensor platforms. A summary of recent development in electrochemical sensors for detection of different types of PFAS is presented in Table 3.
| Type of PFAS detected | Electrode material/matrix | Polymerization method | Electrolyte used for polymerization | Washing solution | Detection technique | LOD | Linear range | References |
|---|---|---|---|---|---|---|---|---|
| PFOS (C-8) | Carbon based MIP | Electropolymerization | (2 : 1) 0.1 M acetate buffer + methanol |
50 : 50 water/methanol |
DPV, EIS | 3.4 pM (0.0017 ppb) | 0.05–0.5 nM | 141 |
| PFOS (C-8) | o-Phenylenediamine based MIP | Electropolymerization | (2 : 1) 0.1 M acetate buffer + methanol |
50 : 50 water/methanol |
CV, DPV | 0.5 nM (0.207 ppb) | 0.1–4.9 nM | 142 |
| GenX (C-8) | o-Phenylenediamine based MIP | Electropolymerization | Acetate buffer (pH 5.8) | 50 : 50 water/methanol + MilliQ water |
CV, DPV | 250 fM (0.0825 ppt) | 1–5000 pM | 143 |
| PFOS (C-8) | Gold nanostar + MIP | Electropolymerization | (2 : 1) 0.1 M acetate buffer + methanol |
50 : 50 water/methanol + MilliQ water |
EIS, CV, DPV | 0.015 nM (0.0075 ppb) | — | 144 |
| PFOA and PFOS (C-8) | Methylene blue + MIP | Electropolymerization | — | — | CV | 100 nM (41.4 ppb) | 10 μM–10 mM | 151 |
| PFOS (C-8) | Gold based MIP | Electropolymerization | (1 : 10) 0.1 M acetate buffer + 10% methanol |
Methanol/MilliQ water (1 : 2) |
CV, DPV, EIS | 0.1 nM (0.05 ppb) | — | 152 |
| PFOS (C-8) | Chromium based MOF | — | — | — | EIS | 0.5 ng L–1 (0.5 ppt) | — | 149 |
| PFOS (C-8), PFHxS (C-6), PFBS, and PFOA (C-8) | Micropipette-based interfaces between two immiscible electrolyte solutions | — | — | — | CV, DPV | 0.05 mM (50 ppt) | 1–9 μM | 153 |
| PFOA (C-8) | Perfluorodecanethiol + gold NPs | — | — | — | CV, LSV | 24 ppt | 100–5000 ppt | 147 |
| PFOA (C-8) | Polyaniline–chitosan | — | — | — | CV, DPV | 1.08 ppb | 5–150 ppb | 154 |
Sensor technologies offer clear advantages, such as their portability, ease of use, and potential for real-time, in situ measurements; however, several challenges remain. Many sensors are designed to detect only a subset of PFAS, limiting their applicability for comprehensive environmental monitoring. Furthermore, sensor performance can be influenced by environmental factors such as temperature, pH, and the presence of interfering substances, which may affect the reliability and accuracy of the measurements. Despite these challenges, the ongoing development of advanced sensor systems holds promise for enabling more widespread, real-time monitoring of PFAS contamination in diverse environmental contexts. Further advancements are required to enhance the performance of sensors, particularly in terms of improving their sensitivity to ultralow detection limits and ensuring robustness in complex, real-world samples. The primary difficulty arises from the inherently low optical or electrochemical activity of PFAS, which necessitates the use of specialized recognition elements that can selectively bind to these substances without interference from other chemicals. Research into the interactions between PFAS and various materials is essential for improving the efficiency and selectivity of detection methods. Although the role of hydrophobic and electrostatic interactions in PFAS adsorption is well-established, the effect of surface modifications and material composition on sensor performance remains an area of active exploration. Understanding these interactions in greater detail will allow for the design of materials and sensor platforms that can enhance PFAS capture without compromising selectivity. Handling high concentrations of PFAS is another concern for these sensors. Sensor linear ranges discussed in Tables 1–3 cover typical environmental levels, but their exceedance causes receptor saturation where they tend to signal plateau, yielding inaccurate high readings. The standard routine for wastewater includes diluting the sample 1
:
10–1
:
100 with clean water/methanol, re-measurement, and then multiplying the result by the dilution factor.
Another important area of focus is the development of pre-concentration techniques, which would allow for the isolation of PFAS from complex environmental matrices. Methods such as solid-phase extraction (SPE) and micro-SPE have been employed to improve the sensitivity of sensors by concentrating PFAS in samples prior to analysis. These techniques, when combined with portable sensor platforms, could lead to real-time detection capabilities, offering significant advantages in the field. Additionally, novel strategies, such as the integration of sensors with extraction technologies, could further reduce the potential for interference from other compounds, providing more accurate readings.
The commercialization of these sensor technologies will require further development of robust, field-deployable devices capable of providing accurate, real-time data. The integration of advanced sensor technologies into routine monitoring programs could significantly enhance our ability to manage PFAS contamination, enabling more efficient identification of hotspots, better-informed decision-making regarding clean-up efforts, and improved protection of both human and environmental health. A multi-disciplinary approach, involving collaboration between materials scientists, chemists, engineers, and environmental health experts, is essential for accelerating the development of next-generation sensors capable of addressing the complexity of PFAS contamination in diverse environmental settings. This transition from the laboratory to real-world applications will involve overcoming challenges related to sensor longevity, cost, and ease of use. The successful deployment of these technologies will not only aid in regulatory compliance but also contribute to broader public health and environmental safety by providing continuous monitoring capabilities in areas affected by PFAS contamination.
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