The lack of safe drinking water infrastructure in off-grid communities is a significant risk to sustainable development, especially for low- and middle-income countries (LMICs). Photovoltaic-powered reverse osmosis (PVRO) has emerged as a promising method due to its performance, scalability, consistency, and the robust global supply chain of its components. However, reliability issues like biofouling can quickly reduce its performance, shorten membrane lifetime, and hinder adoption in off-grid settings. Ultraviolet light emitting diodes (UV-LEDs) ranging from 200–285 nm wavelengths reduce the number of microorganisms in water but there are mixed results about their use on mitigating biofouling in reverse osmosis systems. Herein, we aim to provide a preliminary assessment on whether UV-LED pre-treatment can mitigate biofouling in PVRO systems. Analysis of the E. coli concentration pre- and post-UV treatment for batch and flow cell experiments demonstrated reduced bacterial concentration after treatment but suggest that remaining bacteria after UV treatment can grow back over time, i.e., UV-LEDs do delay, but not completely eliminate, biofouling. These results encourage further investigation into how UV-LEDs can be optimally integrated in PVRO systems and also set the premise for controlled biofouling mitigation studies for intermittently operated, small-scale PVRO.

  • 275–280 nm ultraviolet light-emitting diodes reduced bacterial contamination, delaying biofilm formation on RO membranes.

  • UV-treated feedwater reduced biofilm coverage on RO membranes from 29% (without UV) to 6.3% (with UV) after 5 days.

  • Fluorescence microscopy hinted at early-stage, patchy biofilm for UV-treated RO operation.

  • Integration of UVC-LED pre-treatment could enhance operational efficiency in community-scale photovoltaic-powered reverse osmosis systems.

The United Nations' Sustainable Development Goal (SDG) 6.1 focuses on improving water access for the 2.2 billion people (27% of the global population) who do not have access to safely managed drinking water (United Nations 2022). This water stress is more acute in low- and middle-income countries (LMICs) in Africa and South Asia, especially in regions with zero or limited connections to water distribution networks and the electricity grid (Oxfam 2018). It is imperative to develop solutions that can be tailored to their unique settings.

Currently, solutions such as rainwater harvesting and groundwater wells provide water relief to some of these communities. However, sustainable use, adoption, and maintenance of these solutions are often hindered due to irregular and unreliable rainfall patterns, pump failures, groundwater contamination through arsenic and other heavy metals, seawater intrusion (in coastal areas), and flooding. Furthermore, with increasing knowledge of global technologies due to cell phones and connection to the internet, there is a growing call from LMICs for equitable and global standard solutions (Lum 2011). These challenges motivate exploring mature, robust technologies established in the industry and adjusting them for use in remote, off-grid communities.

Membrane and thermal processes are standard in industry for desalinating sea and brackish water, which accounts for the majority of the global water supply. Membrane processes operate by pressuring water through a semi-permeable membrane, which captures dissolved salts, bacteria, and other contaminants (Pooi & Ng 2018). Thermal processes operate by evaporating water through a semi-permeable membrane and then condensing it afterwards for collection (Subramani & Jacangelo 2015). The most robust desalination method is reverse osmosis (RO), occupying 65% of the global installed desalination capacity (Mito et al. 2019). RO's widespread adoption comes from factors such as outperforming other filtration methods in their ability to capture contaminants (Pooi & Ng 2018), having the lowest unit price of water compared to other desalination techniques (Qasim et al. 2019), and being able to adapt them in various configurations or sizes for different settings (Alghoul et al. 2009). However, a major concern with RO systems is that they are energy intensive (Abdallah et al. 2005), which limits their sustainable application in LMICs.

Recently, the growth of photovoltaic-powered RO (PVRO) has increased the prospect of implementing small-scale desalination (1–5 m3/day) for remote, off-grid, and climate-vulnerable communities in LMICs, especially those that have year-round sunshine. For example, in the Yucatan Peninsula region in Mexico, a 1,000 L/day PVRO system has been purifying brackish well water and rainwater for a village with 450 people (Elasaad et al. 2015). In the village of Bercy, Haiti, a PVRO system with a capacity of 900 gallons/day was constructed to filter water from a locally built well, eliminating the need for the community to walk 2 h to obtain drinking water (Bian et al. 2016). Islam et al. (2018) highlighted the importance of the maintenance of small-scale desalination plants that were implemented in coastal regions in Bangladesh, where rising sea levels and saltwater intrusion exacerbate freshwater scarcity. Other implementations are being evaluated around the world (Almaktoof et al. 2015; Education Post 2020; Hekmatmehr et al. 2024). Bilton et al. (2011) evaluated community-scale PVRO systems and concluded that by properly configuring a PVRO system based on the location, it can be more economically feasible than diesel-powered RO or transported water. With respect to SDG 6.1, PVRO appears to be a valuable way to help close the gap in sustainably obtaining safe drinking water. Concerns such as intermittency, local user understanding, and capital and resource constraints still present challenges and must be addressed, as they can accelerate fouling-related reliability issues.

Membrane fouling remains a persistent challenge for membrane technologies, including PVRO systems. Inorganic fouling, such as scaling, occurs from salts precipitating on the membrane's surface (Sim et al. 2018). Biofouling refers to the bacteria in the feedwater producing a gel-like biofilm on the membrane (Sim et al. 2018). All these mechanisms reduce the membrane's effective area over time, affecting the permeability. Along with the lower volume and quality of the permeate, fouling ultimately leads to higher costs due to maintenance, repairs, and membrane replacement.

There are various methods to manage fouling to prolong the membrane's lifetime, such as modifying membranes to have an antifouling layer, pre-treating the feedwater to reduce contaminants, and cleaning the membrane (e.g., backwashing and chemical agents) (Jiang et al. 2017). Our previous work investigated the effect of scaling on small PVRO systems and found that intermittent operation did not negatively affect the membrane's permeability over time compared to continuous operation (Sarker & Bilton 2021), and using an anti-scalant and rinsing with clean water before shutting down the system prolonged the membrane's permeability (Freire-Gormaly & Bilton 2019). However, managing biofouling in community-scale PVRO systems in LMICs still needs to be investigated, as the intermittent operation may increase biogrowth, and the complex nature of living organisms can make standard cleaning methods inadequate for their circumstances. For instance, chlorinating the water to kill bacteria will damage the membrane (Matin et al. 2011), leading to an early replacement, and some LMICs do not prefer chlorinated water. Sarker et al. (2025) discovered that although 15–30 min of rinsing following a 1-min osmotic backwash could significantly slow down scaling in intermittently operated RO systems, it may not work effectively for biofouling, which still requires physical and chemical interventions. Tow et al. (2016) showed that in alginate scaling, rinsing breaks away chunks of foulant, which is not ideal for cleaning biofilm as it can disperse and reattach downstream. Additionally, backwashing is not ideal as a sole cleaning mechanism for RO systems, especially in the context of marginalized communities, since it reduces the total permeate quantity and requires trained personnel. An emerging, low-cost solution to mitigate biofouling may be ultraviolet light-emitting diodes (UV-LEDs).

Disinfecting feed water using UV, particularly UV lamps, is a common practice in water treatment (González et al. 2023). The lamps emit wavelengths in the ultraviolet light C (UVC) range (200–280 nm), which inactivates bacterial cells, making the water safe for consumption. Recently, UVC-LEDs gained popularity as an alternative to UV lamps because of their smaller form factor, low energy requirements (see the Supplementary Material for details), non-toxicity, low cost, and longer lifetime (Song et al. 2016). These factors also make it a favorable integration into community-scale PVRO systems for remote, off-grid communities to control biofouling on membranes and prolong their operational life. As biofilm consists of living and dead cells, UV lamps and LEDs are being studied for biofouling control based on the presumption that inactivated bacteria should produce less biofilm on the membrane. Additionally, UV light can impact the extracellular polymeric substance (EPS), which is composed of proteins, polysaccharides, lipids, nucleic acids, and biomolecules (Subhadra 2022), in a biofilm. (Wang et al. 2023a) found a reduction of β-sheet in proteins in the EPS, which was attributed to UV light-inhibiting genes that produce the protein. However, as outlined in Table 1, there are mixed results in the literature on whether treating feedwater with UV actually mitigates biofilm formation. Some studies found the expected decrease in membrane biofouling, while others found it actually resulted in an increase.

Table 1

Summary of relevant studies investigating the effect of UV on biofouling

Author (year)FeedwaterUV sourceWavelength, dosesRemarks
Lakretz et al. (2010)  Pseudomonas aeruginosa in PBS Medium-pressure polychromatic lamp in a bench scale collimated beam apparatus above glass dishes containing feedwater 239, 254, 260, 270, 280 nm Generally, a larger log inactivation of bacteria resulted in less biofilm 
Lakretz et al. (2018)  Brackish groundwater from Mashabei Sade in the south of Israel Feedwater flowed through a reactor with a medium-pressure polychromatic lamp in a bench-scale collimated beam apparatus ∼137 mJ/cm2 UV-pre-treated water had the lowest permeate flux over time compared to the control and pre-treatment with UV/H2O2 
Wu et al. (2021)  Membrane bioreactor effluent from a municipal wastewater treatment plant Feedwater was pre-treated with a low-pressure mercury UV lamp in a bench-scale collimated beam apparatus before being placed in a crossflow RO system 254 nm at 20, 40 and 80 mJ/cm2 An increasing UV dose led to an increasing log reduction of bacteria but more biofouling on an RO membrane 
Torkzadeh et al. (2021)  E. coli (ATCC 25922) in growth media (M9 media salts, tryptic soy broth, and glucose) Low-pressure mercury lamp in a collimated beam apparatus above flow cell 254 nm at 50.5 μW/cm2 Biofouling was reduced 
Sperle et al. (2020)  Local tap water (groundwater after aeration and sand filtration) with nutrients (sodium acetate, sodium nitrate, sodium dihydrogen phosphate dihydrate) Feedwater pre-treated by a UVC-LED in a flow-through reactor 278 nm at 2 mJ/cm2 and 0.85 mJ/cm2 A low UV dose (2 mJ/cm2) can reduce biofouling (by 15%) 
Wang et al. (2023b)  Reclaimed water from large-scale water reclaimed plant Feedwater pre-treated by laboratory-scale collimated beam apparatus, then placed in a Petri dish with RO membrane 254 nm at 30 mJ/cm2 Caused more biofouling on an RO membrane than the control 
Giggie (2022)  Water in Port Canaveral, Florida UVC-LED light strips shone on panels that were submerged in feedwater 270 nm for 43.2 mins/day (886 mJ/cm2Biofouling was reduced 
Torkzadeh & Cates (2021)  E. coli (ATCC 25922) in growth media (M9 media salts, tryptic soy broth, and glucose) Low-pressure mercury lamp in a collimated beam apparatus above flow cell 254 nm at 60 μW/cm2 A temperature increase by 10 °C increased biofilm under UVC light, shielding helps produce biofilm at high UV intensities, and continuous irradiation of a surface may be inadequate for biofouling control 
Zhao et al. (2023)  Ralstonia insidiosa, Burkholderia multivorans, Cupriavidus metallidurans, Methylobacterium fujisawaense, and P. aeruginosa in M9 medium Feedwater exposed to UVC-LEDs connected to side-emitting optical fibers in the flow system 265 nm, 275 nm at >10 μW/cm2 Inhibited biofilm growth 
Marconnet et al. (2011)  Clarified river water pre-treated through ozonation and granular activated carbon (GAC) adsorption Feedwater was pre-treated by low-pressure monochromatic mercury vapor lamp 254 nm at 400 J/m2 Permeability was higher due to UV limiting biofouling 
Author (year)FeedwaterUV sourceWavelength, dosesRemarks
Lakretz et al. (2010)  Pseudomonas aeruginosa in PBS Medium-pressure polychromatic lamp in a bench scale collimated beam apparatus above glass dishes containing feedwater 239, 254, 260, 270, 280 nm Generally, a larger log inactivation of bacteria resulted in less biofilm 
Lakretz et al. (2018)  Brackish groundwater from Mashabei Sade in the south of Israel Feedwater flowed through a reactor with a medium-pressure polychromatic lamp in a bench-scale collimated beam apparatus ∼137 mJ/cm2 UV-pre-treated water had the lowest permeate flux over time compared to the control and pre-treatment with UV/H2O2 
Wu et al. (2021)  Membrane bioreactor effluent from a municipal wastewater treatment plant Feedwater was pre-treated with a low-pressure mercury UV lamp in a bench-scale collimated beam apparatus before being placed in a crossflow RO system 254 nm at 20, 40 and 80 mJ/cm2 An increasing UV dose led to an increasing log reduction of bacteria but more biofouling on an RO membrane 
Torkzadeh et al. (2021)  E. coli (ATCC 25922) in growth media (M9 media salts, tryptic soy broth, and glucose) Low-pressure mercury lamp in a collimated beam apparatus above flow cell 254 nm at 50.5 μW/cm2 Biofouling was reduced 
Sperle et al. (2020)  Local tap water (groundwater after aeration and sand filtration) with nutrients (sodium acetate, sodium nitrate, sodium dihydrogen phosphate dihydrate) Feedwater pre-treated by a UVC-LED in a flow-through reactor 278 nm at 2 mJ/cm2 and 0.85 mJ/cm2 A low UV dose (2 mJ/cm2) can reduce biofouling (by 15%) 
Wang et al. (2023b)  Reclaimed water from large-scale water reclaimed plant Feedwater pre-treated by laboratory-scale collimated beam apparatus, then placed in a Petri dish with RO membrane 254 nm at 30 mJ/cm2 Caused more biofouling on an RO membrane than the control 
Giggie (2022)  Water in Port Canaveral, Florida UVC-LED light strips shone on panels that were submerged in feedwater 270 nm for 43.2 mins/day (886 mJ/cm2Biofouling was reduced 
Torkzadeh & Cates (2021)  E. coli (ATCC 25922) in growth media (M9 media salts, tryptic soy broth, and glucose) Low-pressure mercury lamp in a collimated beam apparatus above flow cell 254 nm at 60 μW/cm2 A temperature increase by 10 °C increased biofilm under UVC light, shielding helps produce biofilm at high UV intensities, and continuous irradiation of a surface may be inadequate for biofouling control 
Zhao et al. (2023)  Ralstonia insidiosa, Burkholderia multivorans, Cupriavidus metallidurans, Methylobacterium fujisawaense, and P. aeruginosa in M9 medium Feedwater exposed to UVC-LEDs connected to side-emitting optical fibers in the flow system 265 nm, 275 nm at >10 μW/cm2 Inhibited biofilm growth 
Marconnet et al. (2011)  Clarified river water pre-treated through ozonation and granular activated carbon (GAC) adsorption Feedwater was pre-treated by low-pressure monochromatic mercury vapor lamp 254 nm at 400 J/m2 Permeability was higher due to UV limiting biofouling 

Given the mixed results in the literature, our study aims to provide a clearer understanding of the uncertainties associated with UVC-LED pre-treatment for RO systems and to evaluate whether UVC-LED pre-treatment-induced disintegration of the bacteria (in the feedwater stream) could minimize biofouling on small-scale RO systems. These objectives were addressed through a series of batch scale tests to analyze the impact of UVC-LED on bacterial growth, followed by evaluating the same on RO membrane biofouling. Additionally, we explored the challenges and uncertainties of implementing UVC-LED-based pre-treatment for RO feedwater, aiming to facilitate the design of optimal UVC-LED units. The method section details the experimental setup, feedwater preparation, and analysis techniques, while the results and discussion section provides an in-depth analysis of our findings. This work offers a preliminary proof-of-concept for UVC-LED's scope as an RO biofilm mitigation tool and serves as an initial outlook for further investigation into how UVC-LEDs can be optimized for RO pre-treatment and how factors such as intermittency and variabilities in feedwater compositions in PVRO systems could affect their performances.

Bacterial feedwater

To study biofouling in a controlled manner in the lab, a bacterial feedwater was prepared. Escherichia coli (E. coli ATCC 11229) was chosen for this study as this is a common indicator of contaminated water and is measured for safe water quality (Health Canada 2019). Additionally, this bacterial strain is known to produce biofilm (Hajimalayeri 2016) and is easier to handle as it is a risk-group-1 bacteria (Health Canada n.d.). Lysogeny-broth (LB broth) was used as the nutrient base to allow the bacteria to grow, and a 100% LB concentration was prepared by mixing at a ratio of 10 g:400 mL of distilled (DI) water and then autoclaving it. To prepare the feedwater, the E. coli was swabbed, placed in 4 mL of LB broth, and incubated at 35 °C for 16–18 h. The preculture was then transferred into 400 mL of 1% LB broth, which was prepared by autoclaving 4 mL of 100% LB broth in 396 mL of DI water. This final mixture contained a 1% bacteria-nutrient ratio and was the feedwater used in flow experiments (Figure 1). For batch experiments, a 1% bacteria-nutrient ratio was produced in 10% LB broth. Cell counting confirmed that this preparation process yielded an initial bacteria concentration of ∼106CFU/mL, which is on the higher end of levels found in water to accelerate biofouling (Health Canada 2012).
Figure 1

Bacterial feedwater preparation with E. coli ATCC 11229.

Figure 1

Bacterial feedwater preparation with E. coli ATCC 11229.

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UV apparatus

The UV apparatus for batch experiments is shown in Figure 2. A 275 nm, ∼2.54 mm × 2.54 mm UV-LED chip fitted onto an evaluation board (Mouser Electronics, Lumix, USA) was connected to a 9 V battery, and all the parts were stationed on a custom-built 3D-printed part, enabling the LED to irradiate directly onto a 60 mm Petri dish (Figure 2) from approximately 1 cm above (1.12 mW/cm2 irradiance measured directly beneath the UV-LED). This UV apparatus was used to review how the UV intensity varies with distance by using a radiometer (Thorlabs, USA). Furthermore, this apparatus was used to study whether different UV exposure times affected the bacterial concentrations in a batch setup. The assessment hinted at thorough optimization prior to designing a proper UV reactor for flow cell experiments. To bypass the complexities of building a flow-through UV unit, which is outside the scope of this preliminary study, a 280 nm wavelength PearlAqua Micro 12C UV unit was used (AquiSense Technologies, USA) in the flow cell experiments.
Figure 2

Batch experiment setup showing 275 nm UVC-LED illumination on Petri dish.

Figure 2

Batch experiment setup showing 275 nm UVC-LED illumination on Petri dish.

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Flow system

For crossflow experiments, a small custom-built flow system was developed using stereolithographic 3D printing (Formlabs, USA) to fit into a biosafety hood to minimize contamination during experiments (Figure 3). A peristaltic pump (Longer Pump WT3000-1JA Micro Gear Pump, China) pumped the bacterial media through a flow cell that contains a 28-mil feed spacer, the RO membrane (DuPont Film Tec BW30 2540, USA), and a standard permeate spacer. A needle valve (McMaster-Carr, USA) was used to pressurize the flow system (to overcome the osmotic pressure and allow the feedwater to filter through the membrane), and a pressure gauge (McMaster-Carr, USA) was used to monitor the pressure. All the parts were housed in a metal spill-containment tray (McMaster-Carr, USA). Before starting the flow experiments, materials were autoclaved, and 70% ethanol, followed by DI water, was flushed through the system to sterilize it.
Figure 3

Crossflow experimental setup: (a) The bacterial media first flowed through the UV unit and was stored in the feedwater tank before (b) pumping through the RO crossflow cell. Experimental conditions: flow rate = 5.5 mL/s; UV irradiation: >40 mJ/cm2 at 280 nm; feed pressure = 20 psi; temperature = ∼20 °C; and duration = 5 days.

Figure 3

Crossflow experimental setup: (a) The bacterial media first flowed through the UV unit and was stored in the feedwater tank before (b) pumping through the RO crossflow cell. Experimental conditions: flow rate = 5.5 mL/s; UV irradiation: >40 mJ/cm2 at 280 nm; feed pressure = 20 psi; temperature = ∼20 °C; and duration = 5 days.

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The concentrate was circulated back into the feed tank. After 5 days, the flow cell was opened, and the membrane was extracted for biofilm analysis. Feedwater samples throughout the 5 days of experiments were also collected for measuring bacterial concentration by optical density measurement (OD).

Batch and flow experiments

For the batch experiment, Petri dishes were filled with bacterial media in 10% LB: (a) the control was not exposed to any UV, (b) and (c) were exposed to UV light using the 275 nm UV-LED chip for 30 s and 5 m, respectively. The equivalent UV doses are presented in the Results and Discussion section. Then, the bacteria in the Petri dishes were allowed to grow for 5 days, with OD measurements and cell counting done right after UV exposure and on the second and fifth days. On day 5, after removing the bacterial media, 6 mL of 0.05% crystal violet was used to stain the biofilm that was formed in the Petri dish. After flushing with tap water and thoroughly dissolving the stain in 4 mL of acetic acid, 1 mL of this solution was measured with the spectrophotometer to get an OD measurement, which was indicative of the amount of biofilm present in the plate.

During UV-enabled flow experiments, first, the feedwater was pumped through the Pearl Aqua Micro UV unit to recreate a UV-dosage equivalent of at least 40 mJ/cm2, 280 nm, and stored in the feed tank (Figure 3(a)). For the control experiment (no UV), the bacterial feedwater was still passed through the Pearl Aqua Micro UV unit, but the unit was switched off. Then, the feedwater was pumped through the system continuously for 5 days at 20 psi and 5.5 mL/s (Figure 3(b)). It is to be noted that during this preliminary study, the pressure was kept minimal to ensure the 3D-printed flow cell did not leak or fail, and a small volume (∼60 mL/day) of permeate was produced. The OD of the feedwater was measured throughout the experiment to monitor the bacterial concentration. After 5 days, the flow cell was opened, and the membrane was extracted for biofilm analysis via imaging.

Analysis techniques

During batch and flow experiments, the OD of the bacterial media and feedwater was also measured using a spectrophotometer (Agilent Technologies, USA) to obtain an understanding of how the concentration of bacteria in the feedwater changed with time. For the feedwater OD measurement, 1 mL samples were collected every few hours, and cell counting was done to determine the number of live bacteria in the feedwater (i.e., planktonic bacteria). Serial dilution was used, i.e., 100 μL of solution was diluted in 900 μL phosphate buffer (PBS) and repeated 8 times. Afterward, three 20 μL drops from each dilution microtube were placed in agar plates and incubated at 35 °C for 16–18 h before it was counted for viable colonies.

A smartphone camera (iPhone XR, USA) was used to photograph the membrane right after the experiment was completed and the flow cell was opened. These images provided a complete, undisturbed view of the amount of biofilm formed. Areas of the membrane with biofilms were also studied using the EVOS FL Auto Imaging Fluorescence Microscope (ThermoFischer Scientific, Canada). First, the membrane was cut into ∼0.75 cm × 0.75 cm pieces using sterilized tweezers and scissors. Then, after washing the membrane with 1 × PBS, 200 μL of SYTO 9 and propidium iodide mixture (ThermoFischer Scientific, USA) was placed on the membrane in a Petri dish wrapped in aluminum foil. After 30 min, the dye was removed with a pipette, and the samples were placed in the fluorescent microscope for imaging.

Bacteria mitigation in batch experiments

As expected, the intensity is the highest at a point directly underneath the chip, which was generally positioned in the middle of the Petri dish. However, the light intensity varied at equal distances out from the middle of the dish (Figure 4), which was attributed to a slight angle of the UV chip and the transparent window. Therefore, the effective dosage amount could vary with increasing the number of UVC-LEDs, proper placements, and interaction between the wavelengths of each unit. The average UV irradiance on the Petri dish was quantified through a comprehensive assessment involving the measurement of UV intensity at various circumferential positions and then conducting a surface integral over the area of the dish:
(1)
where I represents the average UV irradiance, r is the radial distance from the center of the Petri dish, θ is the angular position, R is the radius of the dish, and A is the total area calculated as πR2. This resulted in an average UV irradiance of 0.602 mW/cm2 and was validated with the intensity map data presented in Figure 4. Using a spatial analysis of the heatmap, it was determined that 51% of the total illuminated area received an intensity exceeding this average value. Such variability in irradiance distribution could lead to uneven dosing and underexposed regions where microbial survival remains high, underscoring the need for optimized reactor design and improved UV-LED chip configurations.
Figure 4

UV irradiance map on the Petri dish. The central area underneath the UV-LED chip demonstrated the maximum dosage, while other radially outward regions' low dosage amount introduced some uncertainty on the efficacy of the system.

Figure 4

UV irradiance map on the Petri dish. The central area underneath the UV-LED chip demonstrated the maximum dosage, while other radially outward regions' low dosage amount introduced some uncertainty on the efficacy of the system.

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Nevertheless, the bacterial concentration was immediately reduced in the Petri dishes that were exposed to the 275 nm UV-LED light. Compared to the control, bacterial inactivation followed a dose-dependent trend, with log reductions of 0.48 and 5.26 observed after 30 s (18 mJ/cm2) and 5 m (180 mJ/cm2) of UV exposure, respectively (Figure 5(a)). Similar trends were reported by Wu et al. (2021), who observed log reductions of 1.11, 2.55, and 3.61 at UV doses of 20, 40, and 80 mJ/cm2. Sperle et al. (2020) also reported only a slight reduction in live cells with a 2 mJ/cm2 dose, confirming the expected relationship between increasing UV dosage and bacterial inactivation efficiency. By day 2, bacterial cell counts in the UV-exposed samples rebounded to levels comparable to the control and remained similar by day 5 (Figure 5(a)). The increase in the bacterial concentration of the control samples was anticipated, as they were not exposed to UV and could proliferate in the nutrient-rich environment (10% LB). However, for the UV-exposed media, the regrowth could be attributed to the uneven UV irradiance distribution (Figure 4), leading to insufficient inactivation in some regions. Additionally, it could be due to the residual nutrients in the feedwater, showcasing the significance of pre-treating the feedwater to minimize nutrient availability. The lack of significant differences between bacterial concentrations across different UV doses (i.e., exposure times) after 5 days also suggests that the bacterial population may have utilized repair mechanisms such as photoreactivation and dark repair (Fitzhenry et al. 2021). With regard to the intermittent operational nature of community-scale PVRO systems, these results indicate the importance of minimizing prolonged stagnant periods, which could create favorable conditions for bacterial regrowth after UV-LED treatment.
Figure 5

(a) Cell counting measurements of the bacterial media on a logarithmic scale and (b) comparison of the control and UV-exposed samples' biofilm formation measured from OD of crystal violet staining.

Figure 5

(a) Cell counting measurements of the bacterial media on a logarithmic scale and (b) comparison of the control and UV-exposed samples' biofilm formation measured from OD of crystal violet staining.

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Biofilm formed on the Petri dishes was quantified using optical density measurements, which showed that UV exposure did reduce biofilm growth in comparison to non-UV-treated samples throughout days 2 and 5 (Figure 5(b)). This reduction may be attributed to UV-induced inhibition of genes related to EPS production, a critical element in biofilm growth (Wang et al. 2023a). It is interesting to note that higher UV exposure (180 mJ/cm2) resulted in more biofilm than 18 mJ/cm2, hinting that excessive UV dosing could aggravate biofouling, as previously observed by Wu et al. (2021). The aggravated stress of the bacteria cells after 180 mJ/cm2 exposure may have also contributed to the negligible decline in biofilm OD from day 2 to day 5, unlike the control and the 18 mJ/cm2 UV-exposed samples (Dawan & Ahn 2022). These findings hint at optimizing the UV exposure level, as simply increasing the dosage may not yield the best biofilm control outcomes for RO operations. Overall, more comprehensive experimental analyses are needed to detail the underlying mechanistic interaction between UV exposure, bacterial physiology, and biofilm formation dynamics to refine UV-LED dosing strategies for PVRO systems.

Biofilm formation on RO membrane in flow experiments

After the batch experiments, flow experiments were conducted to understand the impact of UV pre-treatment during crossflow filtration. The 280 nm UV unit was used to deliver at least a 40 mJ/cm2 UV dose, which ensures a sufficient dosage to hinder biofouling as found from the batch experiment. First, bacterial growth in the RO feedwater stream, with and without the UV pre-treatment, was compared by fitting the OD data using a logistic growth model:
(2)
where is the population size at the time t, is the initial population size, K is the carrying capacity of the environment, and r is the intrinsic growth rate (Figure 6). The UV-treated feedwater required approximately 45 h to reach the stationary phase of the bacterial growth curve, whereas the untreated feedwater reached the stationary phase in just 28 h. From the curve fitting, the intrinsic growth rate parameter, r, was also estimated: 0.18 OD/h for the UV-treated feedwater and 0.22 OD/h for the untreated one. These observations suggest that although UV exposure may not eliminate bacteria from the feedwater, it might be able to significantly delay the bacterial growth mechanism, thereby slowing down biofilm formation on the membrane.
Figure 6

Bacterial feedwater OD over time (a) without UV pre-treatment and (b) with UV pre-treatment.

Figure 6

Bacterial feedwater OD over time (a) without UV pre-treatment and (b) with UV pre-treatment.

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Membrane imaging after flow experiments also supported this observation. Macroscopic imaging of the undisturbed biofilms on the membrane clearly showed a significant reduction in biofilm coverage for the UV-treated experiment compared to the untreated control (Figure 7). These images were post-processed to quantitatively estimate the membrane surface area affected by biofilm. The experiment with UV-treated water showed only 6.3% of the membrane area covered by biofilm after 5 days, whereas the control (without UV treatment) exhibited 29% surface area covered by biofilm (Figure 7(a)). Notably, in the stagnation-prone regions, e.g., near the peripheral regions of the membrane images shown in Figure 7(a), the UV-exposed feedwater resulted in less biofilm than non-UV-exposed feedwater. This suggests that UV pre-treatment could be particularly beneficial for intermittently operated PVROs, where periodic stagnation accelerates biofilm growth in the absence of mitigation strategies. A closer examination using fluorescent microscopy on these biofilms showed distinct differences between the UV-treated and control samples (Figure 7(b)). In the absence of UV treatment, the bacterial biofilm appeared dense and continuous. In contrast, the UV-treated samples displayed a patchy, non-continuous biofilm after 5 days, suggesting that bacterial colonies remained in the early stages of biofilm formation. This aligns with findings (Torkzadeh & Cates 2021) with confocal laser scanning microscopy, where clusters of the biofilm after UV irradiation were observed after 12 days.
Figure 7

(a) After image segmentation by creating a binary mask, the post-processed data showed that 6.3% of the membrane area was affected by biofilm after UVC-LED treatment. However, for a non-UV operation, the overall biofilm-affected area was 29%. (b) Fluorescence microscopy also showed a patchy film on UV-treated membranes, whereas the no-UV case showed a dense, continuous biofilm.

Figure 7

(a) After image segmentation by creating a binary mask, the post-processed data showed that 6.3% of the membrane area was affected by biofilm after UVC-LED treatment. However, for a non-UV operation, the overall biofilm-affected area was 29%. (b) Fluorescence microscopy also showed a patchy film on UV-treated membranes, whereas the no-UV case showed a dense, continuous biofilm.

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These results indicate there could be potential advantages in using a UV-LED pre-treatment system to mitigate biofouling in membranes, though further analysis needs to be done to account for uncertainties due to concentration differences and limited samples. Our previous works (Sarker & Bilton 2021; Sarker et al. 2025) demonstrated that inorganic scaling in community-scale PVROs can be effectively addressed through optimized rinsing and backwashing protocols. However, these approaches alone may not be sufficient for addressing biofouling, which remains a persistent challenge in such systems, particularly under intermittent operation and low-maintenance conditions (Tow et al. 2022; Sarker et al. 2025). Our current results highlight the potential of UV-LED's ability to disrupt microbial growth in the feedwater, which could be integrated with existing rinsing and backwashing strategies to tackle biofilm formation on RO membranes more comprehensively, contributing to longer operational lifetimes for PVRO membranes in last-mile applications. As an immediate next step, advanced characterization techniques such as scanning electron microscopy, transmission electron microscopy (Sarker et al. 2022), confocal microscopy (Tow et al. 2022), and Fourier-transform infrared spectroscopy (Martino 2018) are being employed to further investigate bacterial growth and biofilm development dynamics on membranes following UV-LED pre-treatment. These analyses will be included in future work to provide a more comprehensive understanding of bacterial growth and biofilm development dynamics on membranes following UV-LED pre-treatment. Additionally, more macroscale images of the undisturbed biofilms from those studies are being collected into a database so that they could serve as inputs in future image-based biofouling analytical models for further analysis.

Biofouling mitigation in community-scale PVRO remains a critical hurdle for sustainable drinking water access for remote, off-grid, and climate-vulnerable communities in LMICs. This study provides experimental evidence that integrating UVC-LEDs as a pre-treatment technology in PVRO operation can significantly reduce biofilm formation on membranes during stagnant and operational periods. A 275 nm UV-LED chip, with an average irradiance of 0.602 mW/cm2, achieved a bacterial log reduction of 0.48 and 5.26 after 30 s and 5 min of batch-scale UV exposure, respectively. With bacterial reduction being confirmed, bacterial feedwater exposed to at least 40 mJ/cm2 UV-LED was used in a bench-scale RO crossflow system to evaluate biofilm growth. The results demonstrated 22.7% reduced biofilm coverage on the membrane compared to the control over 5 days of operation, highlighting that UV-LED pre-treatment of bacterial feedwater can impair bacterial adhesion and biofilm formation on RO membranes, rather than requiring complete bacterial inactivation. These findings establish UV-LEDs as a viable biofouling control strategy for community-scale PVROs used in LMICs, demonstrating their potential to extend membrane lifespan and reduce dependance on periodic chemical-based cleaning. The results also underscored that integrating UV-LEDs with existing rinsing and backwashing protocols could provide a more holistic, low-energy approach to fouling mitigation in PVRO and encourage further experimental investigation into validating these results under dynamic field conditions, considering factors such as intermittency, nutrient availability, and variabilities in operating conditions in PVRO systems. Future work should also focus on optimizing flow dynamics, LED arrangement, and reactor geometry to maximize uniform UV exposure and dosage to feedwater in PVRO systems while minimizing energy consumption.

The authors would like to thank Mina Mahdian and summer students Dina Bernstein and Joaquin Arcilla for their help in progressing this research. The author would also like to thank Dr Ron Hofmann and Dr Kevin Golovin for providing guidance and support in reviewing results and planning out future steps.

The authors are thankful to the Natural Sciences and Engineering Research Council (NSERC) of Canada for the NSERC Discovery Grant, the Department of Mechanical and Industrial Engineering at the University of Toronto for their research fellowship, the University of Toronto Water Seed Grant, and the Mitacs Globalink Research Award.

N.S.K., N.R.S., and A.M.B. conceptualized the study, wrote, reviewed, and edited the article. N.S.K. and D.A. conducted the experiments. D.A. and B.H. reviewed and edited the article.

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

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Supplementary data