Analyze Membrane Fouling & Cleaning in Water Treatment Using QSense QCM-D
Yousra Ben Salah Sep 23, ’25 > 6 min

Analyze Membrane Fouling & Cleaning in Water Treatment Using QSense QCM-D

Membrane fouling is a persistent challenge in water treatment, reducing efficiency and increasing operational costs. In this post, we demonstrate how Quartz Crystal Microbalance with Dissipation monitoring (QCM-D) analysis can help address this issue by providing detailed insights into fouling dynamics and cleaning strategies.

The Challenge of Membrane Fouling in Water Treatment 

Membrane fouling remains a significant challenge in modern water treatment processes, particularly as global demand for clean water rises and freshwater sources decline. Technologies such as wastewater treatment and seawater desalination increasingly rely on membrane filtration, but the accumulation of foulants—especially algal-derived organic matter (AOM) like sodium alginate—can severely degrade membrane performance. Even with pretreatment steps like microfiltration (MF) and ultrafiltration (UF), fouling persists, leading to reduced efficiency, higher maintenance costs, and operational disruptions. Understanding the dynamics of fouling and developing effective cleaning strategies are therefore essential for optimizing water treatment operations.

The Role of QSense QCM-D in Fouling Analysis

QCM-D is a surface-sensitive, time-resolved technology that enables label-free analysis of molecular interactions at surfaces and interfaces. By monitoring changes in resonance frequency (Δf) and dissipation (ΔD) of a quartz crystal sensor, QCM-D can characterize and quantify processes at the solid-liquid interface. Specifically, Δf provides information about mass changes at the surface, while ΔD indicates the softness or thickness of the layer.

In this case study, QSense QCM-D was employed to investigate how fouling layers form and respond to cleaning on membrane surfaces, with a focus on the structural and mechanical properties of the fouling layer. The study aimed to:

  • Monitor the adsorption of sodium alginate onto the membrane surface,
  • Characterize the structural and viscoelastic properties of the resulting fouling layers,
  • Evaluate the effectiveness of two cleaning agents—Deconex and sodium hydroxide (NaOH)—in removing the fouling layers.

Experimental Design

A bare gold QCM sensor was coated with a thin polyethersulfone (PES) layer to mimic the surface properties of a UF membrane. The experiment was designed to represent the inside of membrane pores, enabling the study of molecular interactions. The following solutions were used:

  • Very low viscosity (VLV) alginate as a model foulant,
  • Sodium chloride (NaCl, 3%) to mimic seawater salinity,
  • Sodium hydroxide (NaOH, 0.5M) as an alkaline cleaning agent,
  • Deconex (1%) as a detergent with both alkaline and surfactant components.

The sequence of solution injections was: NaCl, alginate, NaCl, cleaning agent (NaOH or Deconex), and a final NaCl rinse. All experiments were conducted at 25°C with a flow rate of 20 μL/min using the QSense Omni instrument. 

Results: Fouling and Cleaning Dynamics

The QCM-D data, Fig. 1, revealed several key findings:

  • Alginate fouling: Sodium alginate adsorbed rapidly onto the PES surface, likely forming a multilayer. Mass accumulation continued during the adsorption step, indicating strong and fast binding.
  • Initial rinse: A slight increase in frequency and decrease in dissipation during the first NaCl rinse suggested the removal of loosely bound alginate.
  • NaOH cleaning: Injection of NaOH led to a further decrease in frequency and an increase in dissipation, indicating that the fouling layer became softer—possibly due to swelling or restructuring. However, only limited mass removal occurred during the subsequent rinse, meaning cleaning was incomplete.
  • Deconex cleaning: Treatment with Deconex resulted in a sharp increase in frequency and a decrease in dissipation, indicating effective removal of the fouling layer. Most of the removal occurred during Deconex exposure, with additional mass loss during the final rinse.

Water filtration membrane fouling and cleaning analysis with QCM-D

Figure 1. QCM-D raw data (Δf and ΔD) showing the time-resolved interaction of alginate with a PES membrane and subsequent fouling removal using NaOH (plot A) and 1% Deconex (plot B).

Comparative analysis showed that both cleaning agents reduced alginate fouling, but with different efficiencies:

  • NaOH reduced alginate fouling by 53%.
  • Deconex reduced alginate fouling by 99%.

Mechanistic insights from the acoustic ratio (ΔDf) indicated that NaOH primarily removed softer, loosely bound components, leaving behind a more rigid residual layer. In contrast, Deconex was more effective at removing the entire fouling layer, resulting in a softer, cleaner surface.

Conclusion

This case study demonstrates the value of QSense QCM-D for real-time, sensitive monitoring of membrane fouling and cleaning. The technology provided critical insights into both mass changes and viscoelastic properties of fouling layers, enabling direct comparison of cleaning strategies. The described method can serve as a starting point for investigating different filter materials, surface modifications, types of fouling, and cleaning protocols, ultimately supporting the development of more efficient water treatment processes.

 To learn more and to explore detailed results, download the full case study 

Analyzig fouling with QSense QCM-D
Case Study

Investigate Membrane Fouling and Cleaning Strategies in Microfiltration/Ultrafitration

Case study  Analyzing membrane fouling and cleaning strategies with QSense QCM-D  Download

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