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<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Mar. Sci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Marine Science</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Mar. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-7745</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fmars.2026.1749438</article-id>
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<subj-group subj-group-type="heading">
<subject>Review</subject>
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</article-categories>
<title-group>
<article-title>Colloids and particulate matters in natural aquatic environments: dynamics and geochemical impact</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Fan</surname><given-names>Xinxin</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3279938/overview"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Liu</surname><given-names>Yujia</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Formal analysis" vocab-term-identifier="https://credit.niso.org/contributor-roles/formal-analysis/">Formal analysis</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Funding acquisition" vocab-term-identifier="https://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Lu</surname><given-names>Hailong</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/92242/overview"/>
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<aff id="aff1"><label>1</label><institution>Beijing International Center for Gas Hydrate and School of Earth and Space Sciences, Peking University</institution>, <city>Beijing</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>School of Marine Sciences, Peking University Shenzhen Graduate School</institution>, <city>Shenzhen</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>School of Marine Sciences, Nanjing University of Information Science and Technology</institution>, <city>Nanjing</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Yujia Liu, <email xlink:href="mailto:yujia_liu@nuist.edu.cn">yujia_liu@nuist.edu.cn</email>; Hailong Lu, <email xlink:href="mailto:hlu@pku.edu.cn">hlu@pku.edu.cn</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-23">
<day>23</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>13</volume>
<elocation-id>1749438</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>07</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Fan, Liu and Lu.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Fan, Liu and Lu</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-23">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Particulate materials, from macroparticles to colloids and nanoparticles, might be critical regulators of geochemical cycles in aquatic environments. However, their behaviors are profoundly dictated by surrounding physicochemical conditions in freshwater or marine systems. This review systematically synthesizes current knowledge by providing a comparative analysis of particle dynamics across this environmental boundary, with a specific emphasis on the distinct roles of nanoparticles (1&#x2013;100 nm). We first compare the sources and composition of particles, highlighting the dominance of terrigenous inputs in freshwater versus biogenic sources in marine environment. Subsequently, we critically evaluate analytical methods, revealing how matrix-specific properties (e.g., salinity) create distinct challenges for accurate characterization. The review demonstrates that nanoparticles, due to their high reactivity, act as dynamic drivers of elemental cycling and contaminant fate. A case study on deep-sea hydrothermal vents illustrates this, revealing how nanoparticles facilitate the long-range transport of micronutrients like iron, overturning previous paradigms of localized impact. By highlighting these freshwater-marine disparities and trying to identify critical knowledge gaps in analytical methods and transformation mechanisms, this review provides an integrated framework and outlines priority directions for future research.</p>
</abstract>
<kwd-group>
<kwd>characterization</kwd>
<kwd>colloid</kwd>
<kwd>nanoparticle</kwd>
<kwd>natural aquatic environment</kwd>
<kwd>particles</kwd>
<kwd>geochemical impact</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. This work is financially supported by National Natural Science Foundation of China (42306072) to YL.</funding-statement>
</funding-group>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Marine Biogeochemistry</meta-value>
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</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Natural aquatic ecosystems, including oceans, rivers, lakes, and groundwaters, are critical components for sustaining global ecological balance and biological processes. In these systems, particulate materials, ranging from macroscopic sediments to nanoscale particles, serves as critical carriers for material cycling and energy transfer, greatly affecting pollutant migration and geochemical cycles. Among them, natural colloids (1&#x2013;1000 nm) and nanoparticles (1&#x2013;100 nm) have become major research themes in environmental science and geochemistry due to their unique physico-chemical properties and ecological impacts (<xref ref-type="bibr" rid="B41">Lead and Wilkinson, 2006b</xref>, <xref ref-type="bibr" rid="B40">LeadWilkinson, 2006a</xref>; <xref ref-type="bibr" rid="B84">Wigginton et&#xa0;al., 2007</xref>).</p>
<p>While studies on colloidal behavior are extensive, recent focus has shifted towards nanoparticles. These particles represent a size-defined subset of colloids with unique environmental behaviors which are driven by properties such as ultrahigh specific surface area, quantum size effects, and enhanced reactivity, distinguishing them from larger colloids (<xref ref-type="bibr" rid="B74">Tsao et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B18">Delay and Frimmel, 2012</xref>; <xref ref-type="bibr" rid="B20">Flores et&#xa0;al., 2025</xref>). It is also found that, the environmental fates of these particles are profoundly affected by their surrounding conditions. Key environmental factors, such as ionic strength, the composition of natural organic matter, and hydrodynamic conditions, differ substantially between freshwater and marine systems, leading to different particle behaviors (<xref ref-type="bibr" rid="B89">Zhuang and Yang, 2017</xref>). In this review particle dynamics will be discussed in different environments, to provide a more comprehensive understanding of the behaviors of these materials.</p>
<p>The structure of this review is as follows: 1), the classification, sources, and fundamental characteristics of aquatic particles are stated; 2), the analytical methods for particle separation and characterization are evaluated, focusing on their limitations and analytical artifacts; 3), the environmental behaviors and geochemical effects of the particles, especially nanoparticles, are summarized;4), through a case study on nanoparticles from deep-sea hydrothermal vents, an example of their long-range transport mechanisms and influence over global-scale elemental cycles is given.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Classification of particulate materials</title>
<p>In aquatic environments, dissolved substances are generally with the sizes of &lt; 1 nm, occurring as ionic or molecular species (e.g., simple ions such as Na<sup>+</sup>, Ca&#xb2;<sup>+</sup>, Cu&#xb2;<sup>+</sup> and small organic molecules) (<xref ref-type="bibr" rid="B35">Jacques, 1992</xref>), which are classified as the dissolved fraction. According to the definition of IUPAC, colloids are typically referred to the materials with at least one dimension between 1 nm and 1 &#xb5;m, while particles are those larger than 1 &#xb5;m (<xref ref-type="bibr" rid="B41">Lead and Wilkinson, 2006b</xref>, <xref ref-type="bibr" rid="B40">LeadWilkinson, 2006a</xref>).</p>
<p>In actual studies, these classifications are &#x201c;operationally defined,&#x201d; based on the pore size of the filter used for separation. Material passing through such filter is labeled &#x201c;dissolved&#x201d;, a fraction that includes both the truly dissolved species and colloids while material retained on the filter is termed as &#x201c;particulate.&#x201d; However, definitions are inconsistently applied by researchers both between and within various fields. For example, water engineers often use membrane filters with nominal pore sizes of around 5&#x2013;10 &#xb5;m, while aquatic chemists more frequently use those with pore sizes of 0.2 or 0.45 &#xb5;m for their work. As a result, the definition of colloid can vary across studies (<xref ref-type="bibr" rid="B82">Wells, 2002</xref>; <xref ref-type="bibr" rid="B2">Aiken et&#xa0;al., 2011</xref>).</p>
<p>Even without an official universal definition, a useful conceptual framework distinguishes the dominant processes governing each phase. The mobility of the truly dissolved phase is largely governed by molecular diffusion. For the colloidal phase, a combination of diffusion and aggregation dictates their stability and transport. Conversely, the fate of the particulate phase is primarily controlled by gravitational settling (sedimentation). However, it is critical to recognize that this is a simplified model. In many dynamic natural systems, such as rivers or coastal zones, other processes can be equally or even more significant. These processes include advection (bulk fluid motion), which influences all phases; heteroaggregation, which is crucial for scavenging processes; and the resuspension of settled particles from the sediment bed. In this review, the size-based classification is adopted as outlined above, after critically examining the distinct characteristics of each category in freshwater versus marine environments. The size ranges and chemical types of the key species are illustrated in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Size distributions of environmental colloids and particles (updated from Lead and Wilkinson (<xref ref-type="bibr" rid="B41">Lead and Wilkinson, 2006b</xref>)).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-13-1749438-g001.tif">
<alt-text content-type="machine-generated">Diagram categorizing solutes, colloids or macromolecules, and particles by size, chemical nature (inorganic or organic), and biological relevance. Various substances like ions, amino acids, humics, clays, viruses, and microplastics are depicted along a logarithmic size axis from one angstrom to ten micrometers.</alt-text>
</graphic></fig>
<sec id="s2_1">
<label>2.1</label>
<title>Macroparticles (&gt;1 &#x3bc;m)</title>
<p>In natural aquatic systems, the transport of macroparticles is significantly affected by gravitational force and can often be described by Stokes&#x2019; law. Their sources, compositions, and ecological roles differ greatly between freshwater and marine system.</p>
<p>In freshwater systems, macroparticles are often dominated by externally derived materials, including inorganic mineral grains (e.g. sands, clays) derived from watershed erosion and transported as suspended load or bedload and being the main factor shaping river morphology and creating turbidity (<xref ref-type="bibr" rid="B85">Wohl et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B48">Mukhopadhyay et&#xa0;al., 2021</xref>). The organic fraction consists largely of terrestrial plant detritus (e.g., leaves, wood fragments) and soil aggregates (<xref ref-type="bibr" rid="B63">Sadchikov and Ostroumov, 2018</xref>), the role of which is often physical (e.g., habitat structuring, sediment transport) rather than biogeochemically reactive on short timescales.</p>
<p>In marine systems, macroparticles are predominantly internally produced and biogenic. These include sediment and biogenic detritus, such as decomposing aquatic vegetation, algal matter, and animal-derived residues. Among them, marine snow is well known, which are amorphous aggregates of dead phytoplankton, zooplankton fecal pellets, and microbial debris (<xref ref-type="bibr" rid="B13">Chajwa et&#xa0;al., 2024</xref>). The formation of these aggregates is often mediated by transparent exopolymer particles (TEPs), sticky, polysaccharide-rich gels excreted by phytoplankton, which act as a glue to bind smaller particles together (<xref ref-type="bibr" rid="B61">Radi&#x107; et&#xa0;al., 2011</xref>). These marine macroparticles are central to the biological carbon pump, the critical process that transports vast amounts of organic carbon from the surface ocean to the deep sea, playing a vital role in regulating global climate (<xref ref-type="bibr" rid="B75">Turner, 2015</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Colloids (1&#x2013;1000 nm)</title>
<p>Colloids represent a highly reactive and mobile fraction that bridges the truly dissolved and particulate materials. They are not simple, discrete particles but rather complex, heterogeneous assemblages with the properties resulted from their composite nature and their surrounding environment. The composition and origin of colloids differ significantly between freshwater and marine environments, largely reflecting their sources.</p>
<p>In freshwater systems, colloids are predominantly terrigenous, indicative of their originating from the surrounding land. Runoff and weathering processes carry large amount of inorganic materials like clays (such as aluminosilicates) and iron or manganese oxyhydroxides into rivers and lakes (<xref ref-type="bibr" rid="B30">Hirst et&#xa0;al., 2017</xref>). These systems also receive substantial organic inputs from land, including humic and fulvic substances derived from soil and plant decomposition (<xref ref-type="bibr" rid="B38">Kawahigashi et&#xa0;al., 2005</xref>). While land-derived materials are dominant, there is also a significant contribution from autochthonous sources, e.g. microbial exudates, polysaccharides, and biogenic particles like bacterial cells and viruses (<xref ref-type="bibr" rid="B22">Gargiulo et&#xa0;al., 2007</xref>).</p>
<p>In contrast, marine colloids are primarily autochthonous, originating from the high biological productivity of the oceans. The vast majority of these colloids are organic and biogenic, created by phytoplankton and bacteria. Key examples include TEPs, microbial debris, and polysaccharides derived from phytoplankton (<xref ref-type="bibr" rid="B17">Decho and Gutierrez, 2017</xref>). The influence from land is much weaker, so terrigenous inputs and the associated inorganic colloids (like carbonates and iron oxyhydroxides) are far less abundant, though they can still be critically important in coastal zones where the connection to land is stronger (<xref ref-type="bibr" rid="B67">Stolpe and Hassell&#xf6;v, 2007</xref>).</p>
<p>Freshwater colloids are stabilized by low ionic strength, which enhances electrostatic repulsion between particles, leading to long residence times in rivers and lakes. Marine colloids, in high ionic strength seawater, experience compressed double layers that reduce stability, promoting aggregation into larger flocs like marine snow.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Nanoscale materials (1&#x2013;100 nm)</title>
<p>Nanomaterials are defined as materials with at least one external dimension in the size range 1&#x2013;100 nm (<xref ref-type="bibr" rid="B15">Commission, 2011</xref>). In aquatic environments, these encompass nanoparticles and nanocolloids and the boundary between nanoparticles and nanocolloids is not always clear, so we collectively refer to them as nanoscale materials. Nanoparticles can be divided into three main types: natural, incidental, and engineered, while nanocolloids potentially include aggregates of nanoparticles, macromolecules, and humic substances, and show more stable behavior than nanoparticles in the aquatic environment. Both possess unique surface properties, high reactivity, and colloidal stability that enable them to play significant roles in the chemical and biogeochemical processes in aquatic systems.</p>
<p>In terms of sources, naturally occurring nanoscale materials originate from mineral weathering, volcanoes, dust and biogenic microbial processes contain crustal earth abundant elements, and minerals which may be transported into surface waters (<xref ref-type="bibr" rid="B51">Nowack and Bucheli, 2007</xref>; <xref ref-type="bibr" rid="B73">Toner et&#xa0;al., 2009b</xref>; <xref ref-type="bibr" rid="B36">Kadar et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B77">Von Der Heyden et&#xa0;al., 2019</xref>). Incidental ones are derived from human activities such as combustion and industrial processes, entering water bodies via stormwater runoff, atmospheric transport, and wastewater discharge. Engineered nanoscale materials come from industrial production (e.g., TiO<sub>2</sub> in sunscreens), medical applications (e.g., Au nanoparticles), and consumer products, released through direct disposal during use, wastewater effluents, and urban runoff (<xref ref-type="bibr" rid="B81">Weinberg et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B1">Abbas et&#xa0;al., 2020</xref>). Globally, for nanoscale materials which permeate into surface waters, the natural ones dominate with a flux exceeding 300 Tg/yr, followed by incidental ones (1&#x2013;10 Tg/yr) and engineered ones (0.3 Tg/yr) (<xref ref-type="bibr" rid="B31">Hochella et&#xa0;al., 2019</xref>).</p>
<p><xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref> illustrates the morphological diversity of particles across different aquatic settings. The images highlight the stark contrast between particles from different origins. For example, panels (A) and (B) showcase particles typical of marine systems: large, amorphous aggregates of &#x201c;marine snow&#x201d; (<xref ref-type="bibr" rid="B13">Chajwa et&#xa0;al., 2024</xref>)and the underlying gel networks that drive their formation (<xref ref-type="bibr" rid="B61">Radi&#x107; et&#xa0;al., 2011</xref>). In contrast, panel (C) depicts particles characteristic of freshwater environments, where terrestrial influence is stronger, showing inorganic mineral cores (clay, iron oxyhydroxides) bound together by a mesh of organic filaments in a eutrophic lake (<xref ref-type="bibr" rid="B10">Buffle and Leppard, 1995</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p><bold>(A)</bold> (Left) Flow-trace image of sinking marine snow visualized with tracer beads in the background and (right) fluid flow corresponding to the same particle showing the invisible mucus tail (yellow region) that falls along with the particle, greatly increasing the particle&#x2019;s effective size (<xref ref-type="bibr" rid="B13">Chajwa et&#xa0;al., 2024</xref>). <bold>(B)</bold> Gel network as imaged at the edge of a native marine gel particle (<xref ref-type="bibr" rid="B61">Radi&#x107; et&#xa0;al., 2011</xref>). <bold>(C)</bold> Typical examples of colloidal materials in a eutrophic lake [Bret/VD, Switzerland] observed by transmission electron microscopy (TEM), inorganic colloids, in particular clay (large angular particles) and iron oxyhydroxide globules, aggregated together by a mesh of organic filaments (<xref ref-type="bibr" rid="B10">Buffle and Leppard, 1995</xref>). <bold>(D)</bold> AFM images from samples taken from tributaries of the River Tame in the West Midlands, U.K. site 1 (<xref ref-type="bibr" rid="B39">Lead et&#xa0;al., 2005</xref>). <bold>(E)</bold> TEM images of small colloids occurred in sea water (<xref ref-type="bibr" rid="B83">Wells and Goldberg, 1991</xref>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-13-1749438-g002.tif">
<alt-text content-type="machine-generated">Panel A shows two images: left is a black and white microscopy image of a heterogeneous cluster within a flow field, right is a color-annotated diagramhighlighting a particle, mucus tail, flow lines, and color scale in micrometers. Panel B is a colorized nanometer-scale surface topography image with a 10 nanometer height scale. Panel C is a grayscale electron micrograph showing irregular aggregates with fibrous structures at the nanoscale. Panel D is a high-magnification grayscale image of spherical particles dispersed on a surface, scale bar 2.0 micrometers. </alt-text>
</graphic></fig>
<p>Collectively, natural aquatic particles often exist as complex, composite structures&#x2014;including fibrils, globules, and amorphous aggregates&#x2014;as observed through various microscopy techniques. This inherent complexity in shape and composition directly influences their environmental dynamics and presents significant challenges for characterization, necessitating the advanced analytical approaches discussed in the following section.</p>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Analytical methods</title>
<p>For natural colloids, including nanoscale materials, analytical workflows revolve around two core stages: physical separation and subsequent characterization. While most materials science characterization methods can be adapted to environmental samples, below we focus on key separation techniques, summarize core characterization tools, and highlight matrix-specific challenges in freshwater and marine systems.</p>
<p>Core separation methods are led by two widely used techniques. The first techniques are filtration and ultrafiltration, which are widely used for freshwater samples, with ultrafiltration (UF) membranes (1 kDa&#x2013;10 kDa) separating colloids and nanoparticles. Cross-flow ultrafiltration (CFF) is preferred for marine samples, as it could handle high-salt conditions and large volumes without colloidal alteration. However, marine samples are prone to membrane fouling by salt crystals and organic gels, requiring pre-rinsing with low-salinity buffers (<xref ref-type="bibr" rid="B80">Wang and Tarabara, 2008</xref>; <xref ref-type="bibr" rid="B86">Xiang et&#xa0;al., 2022</xref>). The second is Field-flow fractionation (FFF, especially Flow FFF) which is ideal for freshwater colloids and nanoparticles, enabling high-resolution size separation (<xref ref-type="bibr" rid="B3">Baalousha et&#xa0;al., 2011</xref>). When coupled with online detectors like light scattering and ICP-MS, FlFFF can provide multi-dimensional information on particle properties (e.g., size, composition). Subsequent off-line characterization of collected fractions by techniques such as electron microscopy can further reveal details about particle morphology and structure (<xref ref-type="bibr" rid="B44">Lyv&#xe9;n et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B57">Plathe et&#xa0;al., 2013</xref>). However, it requires specialized instrumentation and expertise, has relatively low throughput with resolving power compromised by complex matrices (e.g., high salinity) (<xref ref-type="bibr" rid="B76">Vaillancourt and Balch, 2000</xref>). It is particularly challenging to match the FlFFF carrier to the sample when analyzing seawater&#x2014;given its high ionic strength (up to 0.7 M) and elevated concentrations of Ca&#xb2;<sup>+</sup> and Mg&#xb2;<sup>+</sup>. Notably, seawater cannot serve as the carrier in FlFFF-ICP-MS hyphenation, as even low levels of salt can drastically impair the ICP-MS performance. Additionally, high salinity triggers particle aggregation, leads to much lower sample recovery, and increases membrane adsorption and permeation issues that affect analytical accuracy. Apart from the aforementioned two separation approaches, complementary separation tools include centrifugation/ultracentrifugation (<xref ref-type="bibr" rid="B52">Oshima et&#xa0;al., 2022</xref>) and size-exclusion chromatography (<xref ref-type="bibr" rid="B50">Nordin et&#xa0;al., 2015</xref>).</p>
<p>For the purpose of characterization, most materials science methods can be adapted for environmental samples. Below, we summarize several key characterization techniques in this research field in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>, including their applicable size ranges and limitations. Size and morphology were analyzed using transmission/scanning electron microscopy (TEM/SEM) (<xref ref-type="bibr" rid="B59">Qian et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B87">Xing et&#xa0;al., 2023</xref>), atomic force microscopy (AFM) (<xref ref-type="bibr" rid="B39">Lead et&#xa0;al., 2005</xref>), dynamic light scattering (DLS), and laser-induced breakdown detection (LIBD) (<xref ref-type="bibr" rid="B11">Bundschuh et&#xa0;al., 2001</xref>); chemical composition and structure were characterized via X-ray absorption spectroscopy (XAS/XANES/EXAFS) (<xref ref-type="bibr" rid="B49">Newville, 2014</xref>; <xref ref-type="bibr" rid="B70">Terzano et&#xa0;al., 2019</xref>), Fourier-transform infrared spectroscopy (FTIR) (<xref ref-type="bibr" rid="B21">Fomina et&#xa0;al., 2022</xref>), inductively coupled plasma-mass spectrometry (ICP-MS, including single-particle SP-ICP-MS) (<xref ref-type="bibr" rid="B7">Bevers et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B47">Monta&#xf1;o et&#xa0;al., 2022</xref>), and nano secondary ion mass spectrometry (NanoSIMS) (<xref ref-type="bibr" rid="B34">Huang et&#xa0;al., 2017</xref>); and surface properties were evaluated through zeta potential measurements (for charge) (<xref ref-type="bibr" rid="B26">Gopmandal and Duval, 2022</xref>) and BET analysis (for specific surface area) (<xref ref-type="bibr" rid="B19">Edinger and Gernand, 2018</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>. Separation and characterization methods for aquatic colloids and nanoscale materials. See text for abbreviations and citations.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Categories</th>
<th valign="middle" align="left">Analytical methods</th>
<th valign="middle" align="left">Key principles</th>
<th valign="middle" align="left">Typical application</th>
<th valign="middle" align="left">Applicable size range</th>
<th valign="middle" align="left">Limitation</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Separation Methods</td>
<td valign="middle" align="left">Filtration and Ultrafiltration</td>
<td valign="middle" align="left">Uses porous membranes to retain particles larger than the pore size.</td>
<td valign="middle" align="left">Pre-concentration of large-volume samples, operational size fractionation</td>
<td valign="middle" align="left">Determined by membrane pore size<break/>(e.g., ultrafiltration: ~1&#x2013;100 nm; microfiltration: ~0.1-5 &#x3bc;m)</td>
<td valign="middle" align="left">High risk of particle loss via membrane adsorption, pore blocking, aggregation artifacts</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">FFF</td>
<td valign="middle" align="left">Separates particles in a channel based on their diffusion coefficients under a perpendicular flow field</td>
<td valign="middle" align="left">High-resolution sizing of complex natural colloids and engineered nanoparticles.</td>
<td valign="middle" align="left">~1 nm - 100 &#x3bc;m</td>
<td valign="middle" align="left">Low throughput, complex instrumentation, sensitive to matrix effects (e.g., salinity)</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Centrifugation and Ultracentrifugation</td>
<td valign="middle" align="left">Separates based on differential sedimentation in a strong centrifugal field</td>
<td valign="middle" align="left">Isolating high-density nanoparticles (e.g., metal oxides, sulfides).</td>
<td valign="middle" align="left">&gt; ~5 nm (ultracentrifugation)</td>
<td valign="middle" align="left">Can cause irreversible aggregation, ineffective for low-density organic colloids.</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">SEC</td>
<td valign="middle" align="left">Separates molecules/particles based on their hydrodynamic volume as they pass through a porous column.</td>
<td valign="middle" align="left">Fractionating organic macromolecules (e.g., humic substances).</td>
<td valign="middle" align="left">~1 nm - 100 nm<break/>(specific range depends on the column)</td>
<td valign="middle" align="left">Prone to adsorption artifacts on the stationary phase, limited resolution.</td>
</tr>
<tr>
<td valign="middle" align="left">Size and Morphology</td>
<td valign="middle" align="left">TEM/SEM</td>
<td valign="middle" align="left">Uses an electron beam to generate high-magnification images.</td>
<td valign="middle" align="left">Direct visualization of particle morphology, size, and crystal structure (TEM).</td>
<td valign="middle" align="left">~1 nm - &gt;100 &#xb5;m</td>
<td valign="middle" align="left">Requires high vacuum (sample dehydration artifacts), limited sample representativeness.</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">AFM</td>
<td valign="middle" align="left">Scans a sharp tip over a surface to generate a 3D topographical map</td>
<td valign="middle" align="left">Imaging particle height and surface features in liquid or air.</td>
<td valign="middle" align="left">~1 nm - &lt;100 &#xb5;m</td>
<td valign="middle" align="left">Slow scan for large areas, potential for tip-sample interaction artifacts.</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">DLS</td>
<td valign="middle" align="left">Measures temporal fluctuations in scattered light intensity caused by Brownian motion.</td>
<td valign="middle" align="left">Rapid determination of hydrodynamic diameter in suspensions.</td>
<td valign="middle" align="left">~1 nm - 5 &#xb5;m</td>
<td valign="middle" align="left">Highly biased by larger particles in polydisperse samples, requires low concentrations</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">LIBD</td>
<td valign="middle" align="left">Detects plasma generated from single particles hit by a pulsed laser.</td>
<td valign="middle" align="left">Ultra-sensitive detection of low concentrations of nanoparticles.</td>
<td valign="middle" align="left">~10 nm - 1 &#xb5;m</td>
<td valign="middle" align="left">Provides little morphological information, requires calibration.</td>
</tr>
<tr>
<td valign="middle" align="left">Chemical Composition and Structural Analysis</td>
<td valign="middle" align="left">XAS/XANES/EXAFS</td>
<td valign="middle" align="left">Analyzes X-ray absorption fine structure to determine elemental speciation and local coordination.</td>
<td valign="middle" align="left">Determining the oxidation state of metals (e.g., Fe, Mn) in nanoparticles.</td>
<td valign="middle" align="left">N/A (Bulk analysis method)</td>
<td valign="middle" align="left">Requires synchrotron source, often requires concentrated samples.</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">FTIR</td>
<td valign="middle" align="left">Measures absorption of infrared radiation to identify functional groups</td>
<td valign="middle" align="left">Characterizing organic matter (e.g., humic acids, EPS).</td>
<td valign="middle" align="left">N/A (Bulk analysis method)</td>
<td valign="middle" align="left">Complex spectra can be difficult to interpret in mixed samples.</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">ICP-MS/SP-ICP-MS</td>
<td valign="middle" align="left">Measures elemental composition (ICP-MS) or single particle events (sp-ICP-MS).</td>
<td valign="middle" align="left">Quantifying trace metal content; determining particle size distribution and number concentration</td>
<td valign="middle" align="left">~10 nm &#x2013; 200 nm for sp-ICP-MS</td>
<td valign="middle" align="left">sp-ICP-MS has size detection limits (~10&#x2013;200 nm), matrix can interfere with detection.</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">Nano Secondary Ion Mass Spectrometry</td>
<td valign="middle" align="left">High-resolution mass spectrometry imaging.</td>
<td valign="middle" align="left">Mapping elemental distribution on the surface of individual particles.</td>
<td valign="middle" align="left">&gt; ~50 nm (depends on instrument resolution)</td>
<td valign="middle" align="left">dynamic SIMS is destructive; NanoSIMS requires conductive coating and specialized sample preparation.</td>
</tr>
<tr>
<td valign="middle" align="left">Surface Property Characterization</td>
<td valign="middle" align="left">Zeta Potential Measurement</td>
<td valign="middle" align="left">Measures electrophoretic mobility of particles in an electric field to infer surface charge.</td>
<td valign="middle" align="left">Assessing colloidal stability and aggregation propensity</td>
<td valign="middle" align="left">~1 nm &#x2013; 100 &#xb5;m</td>
<td valign="middle" align="left">Highly sensitive to solution chemistry (pH, ionic strength), model-dependent interpretation.</td>
</tr>
<tr>
<td valign="middle" align="left"/>
<td valign="middle" align="left">BET analysis</td>
<td valign="middle" align="left">Measures the amount of inert gas adsorbed onto a solid surface.</td>
<td valign="middle" align="left">Determining the specific surface area of dried particle powders.</td>
<td valign="middle" align="left">N/A (Bulk analysis method)</td>
<td valign="middle" align="left">Requires dry samples, which may not reflect <italic>in-situ</italic> surface area in aqueous solution.</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>FFF, field-flow fractionation; SEC, size-exclusion chromatography; TEM, transmission electron microscopy; SEM, scanning electron microscopy; AFM, atomic force microscopy; DLS, dynamic light scattering; LIBD, laser-induced breakdown detection; XAS/XANES/EXAFS, X-ray absorption spectroscopy/X-ray Absorption Near-Edge Structure/Extended X-ray Absorption Fine Structure; FTIR, Fourier-transform infrared spectroscopy; ICP-MS/SP-ICP-MS, inductively coupled plasma-mass spectrometry/single-particle inductively coupled plasma-mass spectrometry; BET, Brunauer-Emmett-Teller analysis.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Analytical challenges are significantly amplified by the fundamental chemical differences between freshwater and marine systems. Marine analysis requires methods that can overcome interference from a high-salinity matrix and gel-like organic matter, whereas freshwater techniques must navigate the complexity of humic substances. This leads to several critical limitations: it is difficult to distinguish between natural and engineered nanoparticles (e.g., Fe<sub>3</sub>O<sub>4</sub> nanoparticles) in either setting, and the high ionic strength of seawater severely complicates the detection of trace nanoparticles. Future progress depends on developing <italic>in-situ</italic> monitoring technologies, such as underwater AFM for marine systems, alongside standardized methods like unified colloid size definitions to enable meaningful cross-environment comparisons.</p>
</sec>
<sec id="s4">
<label>4</label>
<title>Environmental behaviors and biogeochemical effects of aquatic colloids, with emphasis on nanoscale materials</title>
<p>Colloids are ubiquitous in natural aquatic systems and play pivotal roles in regulating chemical cycles and pollutant fate. Shaped by intrinsic properties (size, charge, composition) and external conditions (pH, ionic strength, natural organic matter content), their key behaviors include size-dependent transport, charge-governed stability, fractal aggregation structures, and reactive surface interactions (e.g., surface complexation, electrostatic adsorption) that mediate trace element binding and phase transitions. This size-dependency is particularly evident in their transport mechanisms: while Brownian motion largely governs the mobility of the smallest nanoscale colloids, aggregation processes become increasingly influential for their larger, submicron counterparts. These characteristics translate to profound biogeochemical impacts, such as facilitating long-distance transport of metals (e.g., in some river systems, over80% of Pb can be colloid-bound (<xref ref-type="bibr" rid="B6">Benoit, 1995</xref>; <xref ref-type="bibr" rid="B44">Lyv&#xe9;n et&#xa0;al., 2003</xref>)), regulating carbon cycling via colloidal organic matter (which is estimated to constitute 25&#x2013;40% of the total marine dissolved organic carbon pool (<xref ref-type="bibr" rid="B5">Benner et&#xa0;al., 1992</xref>; <xref ref-type="bibr" rid="B29">Hansell, 2013</xref>)), and modifying pollutant mobility and bioavailability (<xref ref-type="bibr" rid="B41">Lead and Wilkinson, 2006b</xref>). Colloid behavior varies across ecosystems due to distinct physicochemical conditions, and this topic has been comprehensively summarized in numerous prior reviews, providing a solid foundational understanding of fine-particle dynamics in natural waters (<xref ref-type="bibr" rid="B56">Petosa et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B43">Liu et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B58">Pontoni et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B78">Wang et&#xa0;al., 2021</xref>).</p>
<p>Given the broad scope of colloid, this review centers on nanoparticles that possess distinctive physicochemical properties&#x2014;including ultrahigh specific surface area, quantum effects, and elevated reactivity&#x2014;which set their environmental behavior and geochemical functions apart from those of larger colloids. Shifting away from early work centered on toxicology of engineered nanoparticles, recent research draws attention to the profound and often unrecognized influence they exert on fundamental biogeochemical processes (<xref ref-type="bibr" rid="B20">Flores et&#xa0;al., 2025</xref>).</p>
<sec id="s4_1">
<label>4.1</label>
<title>DOM-nanoparticle interactions: a dominant control on the fate of nanoparticle</title>
<p>A central driver of behaviors of nanoparticles in aquatic systems is their interaction with dissolved organic matter (DOM)&#x2014;a complex mixture of humic/fulvic acids and biomolecules derived from terrestrial and aquatic biomass decomposition. Once nanoparticles enter natural aquatic systems, nearly all of them rapidly develop a coating of DOM, known as a corona, which governs their environmental fate through diverse mechanisms.</p>
<p>Most commonly, this DOM corona imparts stability to nanoparticles. Negatively charged DOM molecules can adsorb to mineral-based nanoparticles, generating a strongly negative zeta potential that enhances electrostatic repulsion. This effect, combined with steric hindrance from the bulky organic molecules, inhibits rapid aggregation and sedimentation, thereby keeping the nanoparticles suspended and mobile (<xref ref-type="bibr" rid="B12">Burns et&#xa0;al., 2013</xref>). However, this stabilizing effect is not universal and is highly dependent on the specific physicochemical conditions. For instance, in the presence of high concentrations of divalent cations like Ca&#xb2;<sup>+</sup>, humic acid can be cross-linked, forming bridges between fullerene nanoparticles that lead to enhanced aggregation rather than stabilization (<xref ref-type="bibr" rid="B14">Chen and Elimelech, 2007</xref>). Furthermore, the outcome can depend on both the concentration and chemical composition of the DOM itself; some studies have shown that low DOM concentrations can initially destabilize particles, while certain types of DOM, such as those rich in aromatic content, may promote the formation of larger aggregates (<xref ref-type="bibr" rid="B46">Millour et&#xa0;al., 2021</xref>).</p>
<p>The DOM corona can serve as a physical barrier that can minimize direct interaction between nanoparticles and biological membranes and complex with toxic metal ions released from nanoparticles (e.g., Ag<sup>+</sup> from Ag nanoparticles, Cd&#xb2;<sup>+</sup> from quantum dots), often decreasing bioavailability and mitigating acute toxicity. Moreover, DOM coatings can also affect the photochemical and redox behaviors and dissolution kinetics of nanoparticles, indirectly regulating their environmental persistence and reactivity (<xref ref-type="bibr" rid="B2">Aiken et&#xa0;al., 2011</xref>).</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>Biogeochemical roles of nanoparticles in aquatic systems</title>
<p>Nanoparticles are highly reactive in aquatic environments, and this reactivity enables them to contribute to or modulate biogeochemical processes as well as influence the fate and transport of pollutants. Thanks to their ultrahigh specific surface area, nanoparticles can efficiently scavenge diverse contaminants, but this efficiency is strongly dependent on nanoparticle composition, surface coatings, and environmental conditions (e.g., pH, ionic strength, presence of NOM). For instance, inorganic nanoparticles (such as iron oxides, manganese oxides) exhibit strong affinity for heavy metals (e.g., Pb, Cu, Zn) via surface complexation, ligand exchange, or cation bridging, thereby mediating their transport in aquatic systems (<xref ref-type="bibr" rid="B88">Xu et&#xa0;al., 2019</xref>).Hydrophobic organic compounds, such as polycyclic aromatic hydrocarbons (PAHs) and polychlorinated biphenyls (PCBs), readily partition onto organic-rich nanomaterials and carbonaceous nanomaterials like humic substances (<xref ref-type="bibr" rid="B54">Ouyang et&#xa0;al., 2018</xref>). PH is a critical regulator of colloidal adsorption, as it simultaneously modulates the competition between H<sup>+</sup> and metal ions for surface sites on colloids, alters colloidal surface charge, and reshapes the speciation of adsorbing species. For instance, natural iron oxides can carry either positive or negative surface charges, with this variability dependent on solution pH values and the presence of organic matter coatings. Furthermore, low pH conditions strengthen the affinity of dissolved phosphate for iron oxide colloids in both freshwater and seawater systems (<xref ref-type="bibr" rid="B16">Crosby et&#xa0;al., 1984</xref>). Additionally, the presence of NOM can either promote or hinder contaminant scavenging by modifying nanoparticle surface charge and colloidal stability. Nanoparticles also act as catalytically active surfaces: semiconductor nanoparticles (e.g., natural and engineered TiO<sub>2</sub>, Fe<sub>3</sub>O<sub>4</sub>) can generate reactive oxygen species (ROS, e.g., hydroxyl radicals, singlet oxygen, and hydrogen peroxide) upon UV/visible light exposure. With environmentally relevant ROS concentrations (0.1&#x2013;10 fM) comparable to excited-state DOM, these photocatalytic nanoparticles represent a potentially important, previously overlooked contributor to indirect photochemistry that mediates micropollutant degradation, though this reactivity is restricted to certain nanoparticle types and strongly dependent on environmental conditions (e.g., light availability, matrix composition) (<xref ref-type="bibr" rid="B28">Hanigan et&#xa0;al., 2018</xref>). Additionally, metal oxide nanoparticles surfaces (e.g., TiO<sub>2</sub>, iron oxides) also capable of catalyzing hydrolysis reactions, such as converting organic phosphorus into bioavailable inorganic phosphate, which have the potential to act as an important pathway in phosphorus cycling (<xref ref-type="bibr" rid="B42">Li et&#xa0;al., 2020</xref>). Through these catalytic activities, nanoparticles can participate in biogeochemical cycles of key nutrients (nitrogen, phosphorus, and carbon) by acting as reactive surfaces or secondary contributors (<xref ref-type="bibr" rid="B66">Soares et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B27">Gora et&#xa0;al., 2018</xref>). They may expand bioavailable orthophosphate pools for primary producers, facilitate nitrate reduction under specific conditions, and break down high-molecular-weight DOM into labile organic compounds.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>Ecotoxicological effects of nanoparticles across trophic levels</title>
<p>The unique properties of nanoparticles that make them biogeochemically active also underpin their potential for inducing ecotoxicological effects across all aquatic trophic levels (<xref ref-type="bibr" rid="B9">Brunelli et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B68">Suji et&#xa0;al., 2025</xref>). The primary mechanism of nanotoxicity is widely accepted to be the generation of excessive ROS, leading to oxidative stress (<xref ref-type="bibr" rid="B55">Ouyang et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B65">Singh et&#xa0;al., 2022</xref>).</p>
<p>At the base of the food web, microorganisms are particularly vulnerable. For instance, nanoparticles can physically envelop algal cells, reducing light and nutrient uptake, inhibiting photosynthesis (<xref ref-type="bibr" rid="B69">Tao et&#xa0;al., 2015</xref>), and causing direct cell wall damage through sharp edges or abrasive action (<xref ref-type="bibr" rid="B53">Ouyang et&#xa0;al., 2015</xref>). For bacteria, nanoparticles exhibit potent antimicrobial activity through several pathways, including direct cell membrane disruption (<xref ref-type="bibr" rid="B8">Brayner et&#xa0;al., 2006</xref>), overwhelming oxidative stress (<xref ref-type="bibr" rid="B60">Quinteros et&#xa0;al., 2018</xref>), and the release of toxic metal ions such as Ag<sup>+</sup> from Ag nanoparticles or Cu&#xb2;<sup>+</sup> from CuO nanoparticles (<xref ref-type="bibr" rid="B79">Wang et&#xa0;al., 2016</xref>). These impacts are then propagated up the food chain. Filter-feeding and deposit-feeding invertebrates, like <italic>Daphnia magna</italic> or marine bivalves, readily ingest nanoparticles, leading to their accumulation in the gut (<xref ref-type="bibr" rid="B4">Barmo et&#xa0;al., 2013</xref>). There, the production of ROS can cause severe cellular damage, including lipid peroxidation, membrane disruption, and genotoxicity in the form of DNA strand breaks (<xref ref-type="bibr" rid="B45">Manke et&#xa0;al., 2013</xref>). Ultimately, these cellular-level impacts can interfere with critical organismal-level functions, such as reproduction (<xref ref-type="bibr" rid="B68">Suji et&#xa0;al., 2025</xref>). This susceptibility is also pronounced in vertebrates. Fish, such as zebrafish (<italic>Danio rerio</italic>), are particularly susceptible to nanoparticle uptake through their gills, and because animal cells lack the protective structure of a cell wall, nanoparticles can cause more direct damage. In addition, exposure to environmentally relevant concentrations has been shown to induce developmental abnormalities in embryos, including pericardial/yolk sac edema and spinal curvature, which have been directly linked to oxidative stress-driven metabolic disorders affecting amino acid and fatty acid metabolism (<xref ref-type="bibr" rid="B37">Kang et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B55">Ouyang et&#xa0;al., 2022</xref>).</p>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>Natural case study: hydrothermal vent-derived nanoparticles</title>
<p>Deep-sea hydrothermal vents act as natural &#x201c;nanofactories&#x201d; in extreme marine environments, producing a diverse array of nanoparticles that exert a transformative influence on the geochemical processes of the global ocean. These systems serve as a striking example of naturally occurring nanoparticles, formed by the violent mixing of superheated, metal-rich hydrothermal fluids with cold, oxygenated seawater (<xref ref-type="bibr" rid="B25">Gartman et&#xa0;al., 2014</xref>).</p>
<p>For decades, it was widely believed that the metals released from these vents precipitated rapidly and remained confined to the immediate vicinity. However, this long-standing paradigm has been upended by recent discoveries&#x2014;particularly from the GEOTRACES program&#x2014;which demonstrate that these metals can be transported thousands of kilometers, exerting a significant impact on ocean chemistry across vast scales (<xref ref-type="bibr" rid="B62">Resing et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B23">Gartman and Findlay, 2020</xref>). The key factor of this long-range dispersal lies in the stabilization of these metals in the form of nanoparticles.</p>
<p>The primary geochemical significance of these particles rest on their role as transport vectors for essential elements, most notably iron. The process begins in the hot, buoyant plume rising from the vent, where rapid cooling and chemical gradients trigger the formation of metal sulfide nanoparticles such as pyrite (FeS<sub>2</sub>) and zinc sulfide (ZnS) (<xref ref-type="bibr" rid="B33">Hsu-Kim et&#xa0;al., 2008</xref>). As the plume travels farther and mixes more extensively with oxygenated seawater, environmental conditions shift, leading to a transition in the dominant particle species to Fe(III) oxyhydroxide nanoparticles (<xref ref-type="bibr" rid="B32">Hoffman et&#xa0;al., 2020</xref>).</p>
<p>Characterizing these hydrothermal vent-derived nanoparticles relies on a set of advanced techniques. Field sampling is foundational, with pristine samples collected via remotely operated vehicles (ROVs) and stored in inert containers to avoid oxidation or contamination (<xref ref-type="bibr" rid="B72">Toner et&#xa0;al., 2016</xref>). For imaging and structural analysis, SEM and TEM are key tools (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>)&#x2014;SEM reveals the morphology of aggregated nanoparticle clusters, while TEM captures high-resolution details of individual particles (down to 4 nm) and their crystallinity (<xref ref-type="bibr" rid="B25">Gartman et&#xa0;al., 2014</xref>). X-ray diffraction (XRD) complements these by confirming the crystalline structure of minerals like pyrite and Fe(III) oxyhydroxides (<xref ref-type="bibr" rid="B32">Hoffman et&#xa0;al., 2020</xref>). For compositional and speciation analysis, energy-dispersive X-ray spectroscopy (EDS) identifies elemental components (e.g., Fe, Zn, S) and trace constituents (Pb, As), while synchrotron-based techniques like X-ray absorption near-edge structure (XANES) spectroscopy clarify metal speciation (<xref ref-type="bibr" rid="B72">Toner et&#xa0;al., 2016</xref>). Isotopic tracing (Fe, S isotopes) and size-fractionation methods (ultrafiltration, field-flow fractionation) further aid in tracking particle transport and distinguishing between soluble, colloidal, and particulate fractions (<xref ref-type="bibr" rid="B62">Resing et&#xa0;al., 2015</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p><bold>(A)</bold> SEM image and EDX spectra demonstrating clumps of nanoparticles that contain nanoparticulate pyrite from Kilo Moana at EPR 9&#xb0;N (<xref ref-type="bibr" rid="B25">Gartman et&#xa0;al., 2014</xref>). <bold>(B)</bold> SEM image for midplume particles from the Southern East Pacific Rise hydrothermal plume, most of which were short-range ordered Fe(III) oxyhydroxides nanoparticles (<xref ref-type="bibr" rid="B32">Hoffman et&#xa0;al., 2020</xref>). <bold>(C)</bold> TEM image for nano-zinc sulfide collected from black smoker fluids from Niua South vent field (<xref ref-type="bibr" rid="B24">Gartman et&#xa0;al., 2019</xref>).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fmars-13-1749438-g003.tif">
<alt-text content-type="machine-generated">Panel A shows a scanning electron microscope image of clustered nanoparticles with a spectrum graph below, panel B presents a higher-magnification microscope image of rough granular particles labeled &#x201c;St. 18,&#x201d; and panel C displays a transmission electron microscope image of dark, irregularly shaped nanoparticles, each with scale bars for reference.</alt-text>
</graphic></fig>
<p>The formation of organic-inorganic hybrids also play an important role in this process. Organic ligands, sourced either from the vent environment (e.g., low-temperature diffuse fluids) or ambient seawater (e.g., abiotically synthesized thiols), bind to dissolved metals and coat mineral nanoparticle surfaces. This organic coating servers to mitigate aggregation and rapid settling, thereby forming highly mobile hybrid colloids that enable metals to escape local sinks and persist in the water column across vast distances (<xref ref-type="bibr" rid="B71">Toner et&#xa0;al., 2009a</xref>; <xref ref-type="bibr" rid="B64">Sander and Koschinsky, 2011</xref>).</p>
<p>Thus, these hydrothermally derived nanoparticles serve as the critical link between the geology of the deep seafloor and the biology of the global ocean. By transporting iron&#x2014;a vital yet often limiting nutrient for primary production in large oceanic regions&#x2014;they directly influence marine ecosystems and play an important, previously underestimated role in the global carbon cycle. Despite advancements in analytical techniques, significant challenges persist, including the inability to capture ultrafast real-time nanoparticle transformations (e.g., sulfide-to-oxyhydroxide transitions), and insufficient understanding of organic-inorganic hybrid formation.</p>
</sec>
<sec id="s6" sec-type="conclusions">
<label>6</label>
<title>Conclusion</title>
<p>Particles in aquatic environments, spanning a vast scale from macro to nano in size, are not isolated entities but components of a dynamic continuum- with nanoscale materials (1&#x2013;100 nm) representing a size-defined subset of colloids (1&#x2013;1000 nm). This review has discussed the categories of macroparticles, colloids, and nanoparticles, emphasizing that their behavior is governed not only by intrinsic properties like size, composition, and surface charge, but is also profoundly constrained by the physicochemical conditions of their environment&#x2014;particularly the distinct settings of freshwater and marine systems. Our analysis indicates that while colloids provide a foundational framework for understanding fine-particle dynamics, nanoparticles exhibit unique environmental behaviors and geochemical effects driven by their ultra-small size, ultrahigh specific surface area and consequently enhanced reactivity, which distinguish them from larger colloidal particles.</p>
<p>In terms of analytical methods, the techniques such as Flow Field-Flow Fractionation coupled with ICP-MS (FlFFF-ICP-MS) have greatly advanced our ability to characterize particles with minimal perturbation. However, quantitative <italic>in-situ</italic> characterization in complex natural matrices remains a major bottleneck. The high-salinity and high-organic-matter matrices typical of seawater, pose severe challenges for particle separation and detection, often compounded by artifacts introduced during sample collection and preparation (e.g., aggregation, adsorptive losses).</p>
<p>The case study on nanoparticles from deep-sea hydrothermal vents illustrates the critical role these natural particles play, overturning the paradigm of localized metal precipitation. It reveals that nanoparticles can act as key vectors for transporting essential micronutrients like iron over thousands of kilometers, thereby influencing global marine productivity and carbon cycling.</p>
<p>Although significant progresses have been reached, critical knowledge gaps persist, and these challenges highlight clear directions for future research. A primary need is the establishment of standardized analytical protocols and classification thresholds to ensure cross-study comparability. This must be coupled with the development of novel techniques for real-time, high-resolution and <italic>in-situ</italic> monitoring of dynamic transformations like aggregation, dissolution, and speciation changes. Mechanistically, the formation and reactivity of organic-inorganic hybrids, which modulate nanoparticle transport and bioavailability, remain poorly understood. Furthermore, with the increasing environmental input of engineered nanomaterials, effectively differentiating between natural, incidental, and engineered nanoparticles in complex backgrounds is a formidable yet urgent scientific challenge.</p>
<p>In summary, a better understanding of the sources, behaviors, and effects of aquatic particles (especially nanoparticles) is essential for assessing their roles in pollutant fate, global element cycling, and ecosystem health. As a result, future studies should be focused on these challenges, and interdisciplinary approaches should be employed.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>XF: Conceptualization, Data curation, Writing &#x2013; original draft. YL: Conceptualization, Data curation, Formal analysis, Funding acquisition, Writing &#x2013; review &amp; editing. HL: Conceptualization, Data curation, Formal analysis, Writing &#x2013; review &amp; editing.</p></sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p></sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
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<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/809332">Yan Li</ext-link>, China University of Geosciences, China</p></fn>
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<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/507243">Miguel Caetano</ext-link>, Portuguese Institute for Sea and Atmosphere (IPMA), Portugal</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1901590">Elena Badetti</ext-link>, Ca&#x2019; Foscari University of Venice, Italy</p></fn>
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