Measuring Biofouling Potential in SWRO Plants with a Flow-Cytometry-Based Bacterial Growth Potential Method

Measuring the bacterial growth potential of seawater reverse osmosis (SWRO) feed water is an issue that is receiving growing attention. This study developed and demonstrated the applicability of the flow-cytometry (FCM)-based bacterial growth potential (BGP) method to assess the biofouling potential in SWRO systems using natural microbial consortium. This method is relatively fast (2-3 days) compared to conventional bioassays. The effect of the potential introduction of nutrients during measurement has been studied thoroughly to achieve the lowest measure value of about 45,000 cells/mL, which is equivalent to about (10 mu g-C glucose/L). The BGP method was applied in two full-scale SWRO plants that included (i) dissolved air flotation (DAF) and ultra-filtration (UF); (ii) dual-media filtration (DMF) and cartridge filter (CF), which were compared with the cleaning frequency of the plants. A significant reduction (54%) in BGP was observed through DAF-UF as pre-treatment (with 0.5 mg Fe3+/L), while there was a 40% reduction by DMF-CF (with 0.8 mg Fe3+/L). In terms of the absolute number, the SWRO feed water after DAF-UF supports 1.5 x 10(6) cells/mL, which is 1.25 times higher than after DMF-CF. This corresponds to the higher cleaning-in-place (CIP) frequency of SWRO with DAF-UF compared to DMF-CF as pre-treatment, indicating that the BGP method has an added value in monitoring the biofouling potential in SWRO systems.

Automated summary

This study developed a flow-cytometry-based method to assess the bacterial growth potential in seawater reverse osmosis (SWRO) systems and demonstrated its applicability. The method is faster than conventional bioassays and was applied in two full-scale SWRO plants, showing significant reductions in biofouling potential. The findings suggest that the method has added value in monitoring biofouling potential in SWRO systems, particularly in comparison to different pre-treatment processes.