Fouling of microfiltration membranes by bidisperse particle solutions
Graphical abstract
Introduction
Microfiltration is a pressure-driven separation process for removing micron-sized particles and microorganisms from process liquids. Microfiltration has been widely used in industrial applications, including pharmaceutical sterilization [[1], [2], [3]], water treatment [[4], [5], [6]], and beverage and dairy processing [7,8]. Fouling is a crucial problem during separations using microfiltration membranes, and can be categorized as external fouling or internal fouling. External fouling is caused by cake formation, which occurs on a membranes’ upstream surface due to the accumulation of large particles that cannot enter the membrane pores, while internal fouling is caused by pore plugging and/or pore narrowing, which occurs within the porous structure of the membrane due to physical deposition and/or adsorption of small particles that are able to enter the membrane pores [9].
Microfiltration membrane fouling is conventionally studied by measuring permeate concentration and flux rate as a function of time [[10], [11], [12], [13], [14]]. Interpretations drawn from such experiments are based on indirect model-dependent analysis of ensemble-averaged information about particle transport and membrane fouling. While such interpretations can have practical utility, they provide limited insights into the complex transport behavior of particles within the highly heterogeneous and interconnected membrane environment. Supplementing these measurements, scanning electron microscope (SEM) images taken before and after fouling can serve to verify proposed mechanisms [15,16]. For example, Tracey and Davis [10] proposed protein fouling mechanisms in microfiltration membranes by studying the resistance to flow versus time, and these experiments were complemented by cross-sectional SEM images of the fouled membranes [15], which showed that fouling mechanisms changed from internal fouling dominated to external fouling with increasing foulant size. This type of endpoint characterization provides important qualitative insights into fouling mechanisms but does not allow visualization of the entire fouling process, which is required for a thorough understanding of fouling formation and fouling reduction. To this end, various types of advanced visualization methods have been developed to monitor membrane fouling in real-time. For example, Trinh et al. [17] used three-dimensional optical coherence tomography to characterize membrane fouling by oil emulsions. Also, Ben Hassan et al. [18] observed the formation of bidisperse cakes using confocal laser scanning microscopy, which provided unique insights into the cake formation process on membrane surfaces in the presence of a bisdisperse suspension.
Microfluidics has provided a powerful approach to probe particle motion inside porous media in situ, and significantly advanced the fundamental understanding of particle transport mechanisms in porous environments [[19], [20], [21], [22], [23], [24], [25], [26], [27], [28]]. Pioneering work used highly-ordered interconnected microchannels as model porous media to understand physico-chemical and hydrodynamic effects on particle deposition [20,21]. Wyss et al. [19] proposed general clogging mechanisms by observing clogging in a well-designed microfluidic device comprising an array of parallel narrow channels. Dersoir et al. [25] further investigated the influence of geometric pore structure on the clog morphology by using microchannels with various geometric features. Although this work provided important insights into the fundamentals of particle transport in porous media, direct visualization of particle transport, and related internal fouling in commercial heterogeneous filtration membranes is still limited, especially when foulant particle size is smaller than 200 nm, which is the approximate resolution limit of a typical optical microscope.
Foulants in real-world scenarios have a large variety of particle sizes, and particle size can affect the performance of the microfiltration significantly [[29], [30], [31], [32]]. For example, Chang et al. [29] found that permeate quality was better in the presence of multiple sized particles because a cake layer deposited on the membrane surface with various sized spheres was more likely to have a smaller porosity compared to one with single-sized spheres. In addition, in situ observation of cake formation by a bisdisperse suspension indicated that the presence of small particles can solidify cake structures by migrating and filling pore voids of the cake formed by large particles [18]. Although size effects in the microfiltration process have been extensively studied, the effects of polydisperse particle distributions, especially when the particles are smaller than the pore size, are not well understood.
Here, we combined highly multiplexed single-particle tracking methods with alternating-laser excitation (ALEX) imaging to simultaneously visualize nanoparticle motion deep in the porous microfiltration membrane and elucidate fouling processes associated with the presence of both large and small particles. Single-particle tracking is a powerful tool to investigate dynamic processes in complex and confined environments, including heterogeneous porous polymer membranes and biological materials [[33], [34], [35], [36], [37], [38], [39], [40], [41], [42]]. In these single-particle tracking experiments, particle motion was continuously imaged using fluorescence microscopy, particle positions were localized and linked into trajectories using a custom tracking algorithm. To track two particle populations, we employed alternating-laser excitation, which enables imaging of multiple fluorescent signals simultaneously by rapid switching between excitation wavelengths [[43], [44], [45]]. By using nanoparticles of two different sizes with contrasting excitation spectra, we were able to visualize bidisperse particle motion in the membrane simultaneously. These direct observations of spatio-temporal single-particle trajectories provided explicit information about the formation and development of fouling sites in the membranes, and elucidated the correlation of various sized particles in confined environments. The findings presented here provide important insights into internal fouling mechanisms along with valuable reference data for the rational design of microfiltration processes to reduce membrane fouling.
Section snippets
Materials and experimental setup
Hydrophilic Durapore (PVDF) membranes used in these experiments were obtained from MilliporeSigma, and had a nominal pore size of 0.65 μm, a porosity of 70%, and a thickness of 125 μm (Fig. 1a and b). To mimic the dead-end filtration process, we designed a PDMS microfluidic device and inserted a small rectangular section of the sample membrane. The transmembrane particle flow (i.e., the flow direction was normal to the membrane surface) was imaged using a fluorescence microscope equipped with
Simultaneous visualization of large and small nanoparticle trajectories
To visualize particle motion in the membrane structure, we constructed trajectory maps by overlaying experimental trajectories for both 200 nm and 40 nm fluorescent tracer particles at various flow rates in PVDF membrane samples. We distinguished and visualized 200 nm and 40 nm particles in the same membrane region under the same flow conditions and analyzed their motion separately. For example, Fig. 3 (a), (b), (d) and (e) show 200 nm and 40 nm tracer particle motion individually, and Fig. 3
Conclusions
Compared to external membrane fouling, internal fouling is more difficult to characterize and extremely challenging to control because of the complexity and heterogeneity of the porous structure. A single-particle tracking approach was employed to study the internal membrane fouling mechanisms. By direct observation of particle trajectories, we visualized the entire process of membrane fouling and proposed a three-stage fouling mechanism: (1) fouling site formation; (2) fouling site growth; and
Author statement
Haichao Wu: Conceptualization, Investigation, Formal analysis, Writing-Original draft preparation. Alexander Kanora: Investigation. Daniel K. Schwartz: Writing-Reviewing and Editing, Supervision, Funding acquisition.
Declaration of competing interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgements
The authors thank Ellen Knapp, Christina Carbrello, Lucas McIntosh, Roger Hart, Uwe Beuscher, Sal Giglia, Derek Dehn, Joseph Hersey, Elizabeth Jackson and Scott Zero for insightful discussions and gratefully acknowledge research support from the NSF Industry/University Cooperative Research Center for Membrane Science, Engineering and Technology (Award number, IIP1624602).
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