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A review on microplastics: sources, environmental fate, degradation pathways, and analytical identification methods

Kavitha Kamalasekaran a and Ashok K. Sundramoorthy *b
aDepartment of Chemistry, Velammal Engineering College, Chennai 600066, Tamil Nadu, India
bCentre for Nano-Biosensors, Department of Prosthodontics & Materials Science, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu 600077, India. E-mail: ashok.sundramoorthy@gmail.com

Received 24th November 2025 , Accepted 23rd February 2026

First published on 12th March 2026


Abstract

Microplastics pose a serious threat to ecosystems, making their detection and characterization a critical area of scientific research. This review provides a comprehensive overview of the current techniques employed for investigating the contamination, sources, environmental distribution, toxicological impacts, and biodegradation processes of microplastics within complex environmental matrices. A range of analytical methods is discussed, including visual inspection, microscopy techniques, and advanced spectroscopic methods such as Fourier transform infrared (FTIR) spectroscopy, Raman spectroscopy, surface-enhanced Raman spectroscopy (SERS), and quadrupole mass spectrometry (MS) coupled with pyrolysis gas chromatography. Additional approaches such as staining methods, thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), and near-infrared (NIR) spectroscopy are also evaluated. Special emphasis is placed on the emerging potential of electrochemical sensing technologies as low-cost, efficient instruments for identifying and classifying microplastics. Despite the growing interest in the electrochemical remediation of microplastics, there is a notable gap in research focusing on electrochemical sensors for monitoring microplastics. The novel approach of this work is the systematic comparison and critical evaluation of various electrochemical sensing approaches for microplastic detection. This analysis is based on the most recent literature and examines their relative advantages, limitations, and suitability in comparison to conventional detection methods. Additionally, this review presents a thorough examination of strategies for the fabrication of electrochemical sensors, encompassing recognition elements, advanced immobilization techniques, and limit of detection protocols that are specifically designed for microplastic detection applications.


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Kavitha Kamalasekaran

Dr K. KAVITHA, Assistant Professor-II in the Department of Chemistry, has 17 years of teaching experience in addition to 5 years of research experience in the field of electro-analytical chemistry. At present, she serves as an Assistant Professor (Senior Grade) in Velammal Engineering College, Chennai, Tamil Nadu, India. She earned her MSc, MPhil and PhD in the Analytical Chemistry Department, University of Madras. She has published over 17 research articles in national and international journals, including UGC CARE Group II-, Scopus-, Web of Science- and SCI-Indexed journals. She also published a patent “Mechanical energy storage machine” in April, 2024. She has published 3 books related to the field of Engineering Chemistry. She has been actively involved in teaching and student academics for the past 15 years and has held leading academic positions. Her area of research includes sensors, biosensors, electrochemistry, electro-analytical techniques, and pharmaceutical analysis.

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Ashok K. Sundramoorthy

Dr Ashok K. Sundramoorthy is a Professor of Prosthodontics & Materials Science at Saveetha Dental College and Hospitals in Chennai, India. He holds a PhD in Engineering (Electrochemistry) from the National Taipei University of Technology (2009) and completed postdoctoral research at prestigious institutions, including Nanyang Technological University and the University of Wisconsin–Madison. His research focuses primarily on the development of selective (bio)chemical sensors using advanced nanomaterials such as carbon nanotubes, graphene, and MXenes with applications spanning biomedical analysis, environmental monitoring, and wearable health technologies. He is a highly accomplished academic with over 270 international publications and several patents. Dr Sundramoorthy has received significant research funding from organizations such as India's DST and has earned accolades such as the Best Researcher Award and a Visiting Fellow Award from JNCASR. He is recognized as a Fellow of both the Royal Society of Chemistry and the Fellow of the Academy of Sciences, Chennai, highlighting his substantial contributions to the fields of nanomaterials and biosensor technology.


1 Introduction

Each year, countless tonnes of rubbish are produced as a result of the overproduction of plastics and their careless use, which frequently ends up in the air, land, aquatic environments.1,2 This trash is mostly polymers that linger in soil or water bodies, which frequently break down due to weathering.3 Environmental plastic residues interact and change into microplastics (MPs) and nanoplastics (NPs) by mechanical abrasion, heat and ultraviolet (UV) disintegration, oxidation by light, bio decay, and mechanical tension.4–6 Recently, microplastics have been discovered as pollutants in the entire ecosystem, including both terrestrial and aquatic environments.

Concerns are also rising over unsustainable habits, including poor waste management, inadequate recycling, and marine littering.7 The frequent usage and possible health risks of MPs in this environment, especially to humans, have garnered considerable interest.8,9 MPs are extensively dispersed throughout the ecosystems, as demonstrated by their significant quantities found in soil, air, and surface water, as well as in remote polar regions and the depths of the oceans.10–12 Furthermore, microplastics have been found in everyday items such as beer,13 sea salt,14 sugar,15 honey,16 tap water,17 bottled water,18 and plastic tea bags.19 Drawing on these sources, this article synthesizes the current pollution conditions and transport and bio-degradation mechanisms (bio-splitting, biofouling, aggregation, and long-range transport) and identifies persistent research gaps and future directions for standardized methods, quantification at the sub-micron scale, toxicity pathways, and cross-compartment mass-balance assessments.

Tiny microplastics are more easily absorbed by species and are more widely dispersed in the environment than big plastics. Microplastics are frequently transmitted through the food chain in aquatic organisms such as shellfish and seafood.20 In recent times, MPs have been recognised as a significant ocean pollution problem. According to Lebreton et al.,21 the majority of MPs originate on the continent and mostly reach the marine environment through rivers. Potential sources of marine microplastics include industrial and urban waste, the erosion of beach sediments, and debris from maritime activities including tourism, commercial fishing, and offshore oil and gas production.

2 Major sources of microplastics

Thompson et al.,22 who investigated maritime plastic contamination in the United Kingdom, were the first to use the phrase “microplastics” 21 years ago. Microplastics have since attracted interest from governments, non-profit organisations, scientists, and others. According to Scheurer and Bigalke, MPs, or particles lesser than 5 mm, are present in both marine and land-based environments.23

Plastic products in the environment gradually fragment into smaller particles due to physical, chemical, and biological processes, forming a size-based continuum. These fragments are classified according to their dimensions. Nanoplastics are the smallest, measuring less than 1 micrometer (µm). Microplastics are particles with a size ranging from 1 µm to less than 5 mm (millimeters) and include particles that are either manufactured at this scale or result from the breakdown of larger plastics. Mesoplastics are medium-sized fragments between 5 mm and 25 millimeters (mm). Macroplastics are larger pieces ranging from 25 mm to 100 mm, while megaplastics are greater than 100 mm in size. These categories help to describe the range of plastic pollution found in soil, air, water, and other environmental media. They might even be carried by water and air currents.24

MPs and nanoplastics (NPs) are synthetic polymer particles; however, their size is the primary distinguishing factor that determines their environmental behavior, analytical detection methods, and likely toxicity. Nanoplastics are ultra-fine “products” of microplastics, and their capacity to penetrate deeper into biological systems frequently results in increased hazards. The identification of MPs through Raman or FTIR spectroscopy is a relatively standard process. However, the identification of NPs is difficult due to their low concentrations and interference from environmental organic matter. Nanoflow cytometry and pyrolysis-GC/MS are employed to identify nanoparticles (NPs) in environmental and wastewater samples, despite the fact that they demand specialized instruments.25

Depending on where they are derived, MPs fall into two categories: primary and second-generation. Plastic pieces that have been dumped into rivers and wastewater treatment facilities are known as primary microplastics (Fig. 1). When enormous volumes of plastic waste are broken up and reduced in size by chemical, physical, and biological processes, secondary microplastics are created.26 Additionally, tiny broken plastic particles known as microbeads, which range in size from 0.1 mm to 1 mm, are patented components of personal hygiene products. They are used to exfoliate skin on the face, in hand washes, and to increase the viscosity of toothpaste27 (Fig. 2).


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Fig. 1 Graphical representation of various primary sources of microplastics. This image was prepared using Microsoft PowerPoint.

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Fig. 2 Production of secondary microplastics through different routes. This image was prepared using Microsoft PowerPoint.

Microplastics originate mainly from human activities such as tire wear, synthetic textiles, plastic waste degradation, and agricultural runoff. They contaminate soil, water, and air and are transferred between these environments through runoff and atmospheric deposition. In soil, major sources include agricultural mulch, sewage sludge, industrial waste, and fragmented litter from farming and waste management activities. In water bodies, microplastics mainly come from wastewater effluent, land-based runoff, tire particles, industrial pellets, and fishing gear. In the air, they originate from synthetic clothing fibers, tire dust, and industrial emissions. In terrestrial environments, microplastics result primarily from degraded plastic waste, agricultural runoff, and landfill debris.28

According to Anderson et al.,29 MPs exist into five major categories: films, pellets, foam, fibres, and fragments. Microplastics are easily found in six chemically based categories: polyethylene (PE), polystyrene (PS), polypropylene (PP), polyurethane (PU), polyvinyl chloride (PVC), and polyethylene terephthalate (PET). These six prevalent microplastic polymers (PE, PS, PP, PU, PVC, and PET) exhibit substantially varying glass transition temperatures (Tg) as a result of their unique chemical structures, crystallinity, and backbone flexibility. The Tg is the temperature range within which these polymers transition from a rigid “glassy” state to a soft, rubbery state.30

2.1 Classification of microplastics

Microplastics are classified into primary and secondary types based on their origin. Primary microplastics are intentionally manufactured in small sizes and are commonly used in cosmetics, detergents, exfoliants, and industrial applications. They are usually uniform in shape, such as pellets, cylinders, or spheres. Examples include microbeads in personal care products, plastic pellets used as raw materials, industrial abrasives, and drug delivery particles.31,32 These microplastics enter the environment directly through industrial spills, improper waste disposal, or drainage systems.

Secondary microplastics are formed unintentionally from the breakdown of larger plastic items such as bags, bottles, fishing nets, and clothing. They result from weathering, UV radiation, mechanical forces, and biodegradation, and are typically irregular in shape, appearing as fragments, films, and fibers. Examples include synthetic fibers from laundry, tire wear particles, degraded plastic litter, and paint flakes. These microplastics enter the environment indirectly through litter degradation, urban runoff, and sewage effluent.26–32

2.2 Land-based sources

It has been demonstrated that single-use products made of polymeric plastics, such as baggage, plastic straws, utensils, coffee containers, and beverage bottles, are a significant source of plastic pollution in the environment.33 The excessive usage of single-utilization face masks made of plastic polymers such as nylon and synthetic polypropylene during the COVID-19 pandemic has resulted in a dramatic increase in microplastic waste. The demand for disposable personal protective equipment, including gloves and masks, has increased as a result of the preventive measures implemented by governments and enterprises. It is estimated that approximately 3.4 billion single-use masks or face shields are discarded daily as a result of COVID-19.34

Land-based sources of these particles include plastic bags, bottles, personal hygiene items, building supplies, and particles from plastic incinerators, which produce bottom ash that contains microplastics.35 This occurs when items such as plastic bottles, bags, and personal care products are burned, leaving behind concentrated microplastic fragments.32,36 Industrial processes, particularly those involving aggregates and tiny epoxy granules and sewage effluent are further probable sources of microplastic discharge into the oceans.37,38

A number of cosmetics and personal grooming products, in addition to building materials and drugs, are thought to be potential sources of plastic pollution since they may contain microplastics that are either constituents or drug carriers.39 Typically, these products include bath gels, toothpaste, face creams, mascaras, cosmetics, sun protection, laundry detergents, face washes, touch soaps, and hand gels.40 Polyester, nylon, and acrylics are a few of the chemically produced fibres that have been found to shed from textile products and wind up in aquatic bodies together with wastewater streams.41

2.3 Marine-based sources (aquatic ecosystems)

Roughly 10% to 20% of the microplastics released into the oceans come from ocean-based sources, including the fishing industry, offshore businesses, marine boats, and coastal tourists.42,43 Nylon meshes and plastic monofilament yarn lines are two examples of lost or used fishing tackle that are important producers of microplastics, which can travel in the water at different depths.44 This problem continues to grow with the annual disposal of more than 6 lakh tonnes of fishing tackle into the sea.45 Also, it is worsen by shipping microplastic debris, which is often released by warships and merchant ships.46 Additionally, Calero et al. commented that a significant amount of plastic garbage is being discharged into marine ecosystems from offshore businesses such as the petrochemical industry.47

Despite being smaller than land-based sources, ocean-based sources play a major role in microplastic pollution, and thus control measures are needed for lowering their contribution. Although 80–90% of microplastics are sourced from land, it is estimated that 10–20% of them are sourced from the marine ecosystem, i.e. ocean-based sources, such as fishing nets and cargo.

3 Impacts of microplastics

3.1 Environmental impact and toxicological impact

The marine environment, waterways, aquifers, wetland ecosystem, the environment, ground soil, and many more ecosystems have all been and continue to be extensively studied for the effects of microplastics.48–51 To understand the possible changes in the biological, physical, and chemical attributes of microplastics and their impact on human health, a great deal of information is required. MP particles have been found in a variety of goods meant for people to consume, according to studies.52,53 Microplastic particles, particularly nanoplastics, have potent toxicological qualities and can cross numerous biological barriers.54 According to Fournier et al., plastic particles are translocated to placental and foetal tissues as a result of maternal lung exposure to nano-polystyrene.55 According to Ragusa et al.,56 MPs are a global issue of the twenty-first century because they have recently been identified inside the human placenta.

MP particles are present in the environment and are a serious issue for various ecological sectors. According to Bergmann et al. and Cunningham et al., MPs have been discovered in the deepest parts of the sea,12,57 and according to the findings by Napper et al., at the top of the Earth (Mount Everest).58 Approximately 80% of MPs come from land, while fewer than 20% come from underwater. One consequence of MPs in the environment is harm to and death of aquatic fish, birds, mammals, and reptiles resulting from the ingestion of aggregated plastics.59 The main environmental concerns in recent decades have been terrestrial, marine, and public health; the specific effects of MPs on various environmental sectors are covered here. The toxicity of microplastics is highly variable and depends on a variety of factors, including the specific polymer type, additives such as plasticizers, stabilizers, and pigments, and also their derived structures such as fibers versus spheres and size of the polymer. The toxicity levels of all microplastics are not identical. Microplastics with smaller sizes and higher concentrations of added compounds or contaminants that have been adsorbed from the environment are more toxic.60

3.2 Impact on soil

De Souza Machado et al.61 claimed that microplastic pollution could pose a serious threat to the land and the surrounding environment, impacting the soil ecosystem chemically and physically by affecting the chemical composition and structure of the soil (dissolving hazardous compounds). The presence of microplastics may also cause changes in the microbiological activity in the soil.61,62 Additionally, plastic particles that are injected might spread throughout the terrestrial food chain.63–65

Both the upward and downward movement of MPs inside the soil are regulated by a number of elements, such as soil microbes and soil characteristics. Guo et al. claimed that MPs change the soil structure when they are incorporated into soil aggregates.66 MPs may exist for decades due to the low oxygen and light levels in soils. Therefore, by changing their biophysical surroundings, MPs may have an impact on soil function and biological fitness through interactions. They can, of course, be taken up by plants and passed up the food chain as they accumulate in the soil.

MPs impact the health and performance of growing onions in soil through alterations in nutritional levels, basic tissue framework, root traits, and activity of soil microbes.67 Additionally, soil microorganisms like earthworms readily ingest microplastics, which then accumulate in their digestive tracts and are excreted in their casts. Because earthworms form the base of many terrestrial food webs, this bioaccumulation can have long-term ecological consequences for various predatory species and the broader ecosystem.68 The influence of MPs on soil organisms was also examined by Lin et al.,69 who discovered that worm and microarthropod populations declined as MPs increased.

3.3 Impact on water

Many human activities cause MPs with diverse chemical compositions from different materials to infiltrate water sources. Some of the most prevalent items are shopping bags, personal grooming goods, and plastic litter such as bottles. According to Cesa et al.,70 laundry and fishing are two additional primary activities that contribute to the rise in MP discharge in water because tiny, microscopic fibers separate from goods during these processes. Other MPs are intentionally made, such as the tiny plastic beads found in exfoliating cleansers, detergents and cosmetics.

3.4 Impacts on human health

It is well recognized that MPs negatively impact human health. The majority of MPs that are ingested through drinking water are probably not absorbed by the digestive system. Consequently, exposure to MPs increases the likelihood of effects including inflammation and irritation in mouth and gut tissues. Polyethylene has been shown to have a cytotoxic effect on T98G and HeLa cells and generate ROS (reactive oxygen species).71 Polystyrene also functions as an immunological stimulant that triggers the synthesis of cytokines and chemokines, according to a recent study. It has been demonstrated to be harmful to cells, induce oxidative stress, and impact the fluidity and integrity of membranes. Furthermore, it damages the mitochondrial membrane and stops the ATP-binding cassette (ABC) transporter from functioning in the plasma membrane.

MPs have serious negative effects on humans and the biological environment, including marine life. The marine environment is primarily exposed to plasticisers, which harm its ecology. Additionally, MPs can create composite pollutants that have stronger toxicological effects when they interact with persistent organic matter.72 In environmental, agricultural, and aquatic systems, MPs serve as vectors for heavy metals (HMs), adsorbing contaminants such as Pb, Cu, Cd, and Zn as a result of their hydrophobic properties and high surface-area-to-volume ratio. Oxidation, a component of aging processes, increases the number of oxygen-containing functional groups (–OH and –COO), which in turn improves adsorption. This interaction can have synergistic (increased toxicity) or antagonistic (decreased toxicity) effects on organisms, frequently facilitating the bioaccumulation of heavy metals in the food chain.

Finally, the interaction of MPs with heavy metals may increase their toxicity by altering their surface structure and charge in saltwater. Following the consumption of MPs, marine animals may store these harmful compounds, harming the marine habitats and biodiversity.66 Furthermore, MPs may have negative health impacts due to their alterations during their movement through the human body.73

3.5 Quality assurance and quality control in microplastic research

In accordance with recommendations for minimizing environmental contamination, guaranteeing procedural accuracy, and verifying polymer identification, this section describes the minimal necessary quality assurance/quality control (QA/QC) and contamination-control techniques for trustworthy microplastic (MP) research. Any experimental work increases contamination; thus (1) it is necessary to organize and streamline studies to minimize exposure duration. (2) Conduct investigations and maintain samples in recyclable consumables. (3) Avoid the use of aluminium foil to cover samples. (4) Use Milli-Q water when water is required. (5) Experiments should be performed in a biological safety cabinet (BSC) or similar laminar flow cabinet (LAF bench). (6) Frequent cleansing is required to minimize the accumulation and dispersion of laboratory dust, utilizing paper towels and 70% ethanol.74

Blanks and controls are essential for monitoring contamination in microplastic analysis. Field blanks detect contamination during sampling, procedural blanks identify laboratory-introduced contamination, and air blanks monitor airborne fibres. Positive controls using standard microplastics are used to assess recovery efficiency and ensure method accuracy. Recovery tests such as spiking should be conducted to assess particle loss and method bias, especially for fibres and particles smaller than 100 µm. Digestion and cleanup procedures must be optimized to remove organic matter without damaging sensitive polymers, avoiding temperatures above 60 °C. Results should include both raw and blank-corrected data, along with the average and standard deviation of particles found in blanks, and a clear statement on whether blank correction was applied.74

4 Degradation of microplastics

Microplastic (MP) degradation is the process of reducing the size of plastic particles (<5 mm) through physical, chemical, and biological mechanisms. Four main processes lead to the breakdown of microplastics: (1) physical degradation, which breaks polymers into smaller particles due to mechanical forces such action of waves, wear and tear, and cycles of freezing and thawing. Plastics are more vulnerable to additional deterioration as a result of this process, which increases their surface area. (2) Oxidation and hydrolysis reactions are the primary mechanisms by which polymer chains are degraded in chemical degradation. These reactions introduce oxygen-containing functional groups, such as carboxyl, hydroxyl, and carbonyl groups, into the polymer chains. The material is rendered more fragile and susceptible to further fragmentation or eventual biological degradation as a result of these modifications. These reactions are frequently facilitated by environmental factors such as pH, temperature and chemical exposure. (3) Photodegradation is a subtype of chemical degradation, where UV radiation triggers the oxidative breakdown of polymers, leading to fragmentation. Nevertheless, this process is frequently incomplete and results in the formation of smaller microplastic residues. (4) Biodegradation relies on microbial enzymatic activity to metabolize plastics into simpler chemicals. However, this process is extremely sensitive to the ambient conditions (oxygen availability and temperature) and the chemical makeup of the polymer.75

While photodegradation and chemical degradation contribute to plastic fragmentation, they seldom result in complete mineralization, indicating that microplastic residues persist in the environment. The term “additive leaching” denotes the discharge of incorporated chemicals, such as plasticizers, e.g. phthalates, flame-resistant substances, and chemical stabilizers from the plastic framework into the atmosphere around it. This process does not entail the degradation of the polymer backbone, in contrast to fragmentation or degradation. Rather, it is associated with the absence of non-polymer additives and can occur even when the plastic is physically and chemically unaltered. The following section elaborately describes the various degradation methods.76

The natural bio-degradation of plastic materials gradually breaks them down into microplastics (particles smaller than 5 mm) and nanoplastics (smaller than 1 µm) over periods ranging from a few months to several centuries, depending on the environmental conditions. Although the complete biodegradation of conventional plastics may take 450 to more than 1000 years, their fragmentation into secondary microplastics begins much earlier through processes such as photodegradation caused by ultraviolet radiation and mechanical stress.77

The degradation timelines of common plastic items vary considerably. Plastic bags typically degrade in about 20 years, while Styrofoam coffee cups may take around 50 years. Plastic straws can persist for up to 200 years, while six-pack plastic rings may take approximately 400 years to break down. Plastic bottles and cups generally require between 450 and 1000 years for degradation, whereas fishing lines can persist for nearly 600 years in the environment.78

In general, microplastics with a low molecular weight (LMW) are more easily degraded than those with a high molecular weight (HMW). A lower molecular weight indicates that the polymer chains are shorter, which results in higher mobility, increased accessibility for microorganisms or chemical agents to initiate degradation, and lower tensile strength. In contrast, high molecular weight polymers are more resistant to degradation as a result of their high crystallinity and complex, long-chain structures.79

4.1 Biodegradation of microplastics

Microplastic bio-degradation is the process by which microbes break down and transform parts of plastic into readily available energy sources by changing the structural group framework, molecular mass, stretching property, and other properties associated with polymers. Environmental variables, MPs characteristics, and microorganisms all influence the bioconversion of MPs. They undergo degradation through two primary processes: oxidation mechanisms and biological breakdown. The enzymatic activity of microorganisms contributes to the biological breakdown of MPs, causing a variety of structural alterations in the micro-plastic polymers. Oxidation mechanisms include photochemical reactions, oxidation, galvanic oxidation, and decomposition of MPs through a variety of ways when exposed to light and reactive oxygen species (ROS). Variable factors such as pH, humidity and temperature are also important parameters for the biological breakdown of organic pollutants.80–82

Pseudomonas and Bacillus are crucial microbes for the breakdown of MPs. Pseudomonas proved to be the most effective of 15 bacterial strains obtained from the seashore line that could break down high-density polyethylene (HDPE).83 The ability of Pseudomonas to degrade MPs seems to be influenced by its potent hydrophobicity, which makes it easier for it to cling to the polymer and form biofilms that aid in its breakdown. The release of additional polysaccharides from cells is essential for quickening the breakdown of low-density polyethylene. According to Shah et al., different plastic types have different degrading effects.81

Biofilms have a significant impact on degradation, which is dependent on the establishment of nutritional conditions. In a study, the decrease in the amount of carbohydrates and ammonium sulphates suggested that the hydrophobic nature of the surface of the microorganism had changed.84 Accordingly, degradation was positively connected with the enhanced water-repellent nature of the cell boundary, which facilitated effective biofilm development in a polyethylene succinate film.84 However, the presence of sea sediments, which are high in naturally occurring carbon, decreased biofilm formation and stopped the disintegration of polyethylene.85 Thus, Pseudomonas breaks down synthetic plastics in response to environmental and nutritional factors that promote the formation of biofilms on plastic polymers.86

4.2 Method of bio-splitting

According to Kjeldsen et al.,87 bio-splitting refers to the process by which microplastic polymers are biologically split or fragmented with the aid of enzymes, which is also referred to as bio-fragmentation. At this instance, the polymeric structure of plastics is hydrolyzed by enzymes such as oxidoreductase and hydrolase. However, several oxidation reactions that produce free radicals are catalyzed by other enzymes. When the polymer oxidizes, free radicals and functional groups such as hydroxy and carbonyl compounds are produced. The enzymatic breakdown of microplastics is subject to a broad range of variations, which are influenced by the material and environmental conditions. For specialized, optimized industrial conditions, the reaction may take as little as a few days, while the biodegradation of specific polymers may take several weeks or months. In natural environments, the process is typically slower, with some studies demonstrating a 7–63% reduction over several weeks, depending on the enzyme type.80–83,88,89

4.3 Mineral formation or integration

During this stage, microbes absorb monomers to create the microbe population, carbon dioxide, and methane.83 The microbial cells use these monomers for growth and they provide carbon atoms for the production of energy.90 However, some plastic monomers are challenging to absorb because of the selective permeability of plasma membranes. Through the process of biotransformation, microbial cells make use of non-assimilated monomers. Microorganisms utilize unbound monomers from polymers via a process termed modification, wherein the enzymes secreted by these microbes transform chemical substances into final products that can be absorbed by other microorganisms or similar species.89

The appropriate physio-chemical characteristics of biodegradable polymers, such as their high flexibility, abundant functional groups, and relatively low molecular weight, make them more amenable to pretreatment than conventional plastics. Pretreatment of plastics using a range of physical and chemical agents can change their morphological and structural properties, including lowering their molecular weight, breaking chemical bonds, forming surface cracks, and adding functional groups.90 It is important to ascertain how various pretreatments affect the biodegradation of plastics and MPs, as this can increase the degradation percentage even further. High-temperature pretreatment, photooxidation catalysis, and microbial enzyme catalysis may facilitate the effective biodegradation of plastic polymers.91

4.4 Bio-degradation of matter

Enzymes break down microplastic polymers into their constituent monomers during this stage of breakdown. Both inside and outside the plastic material, the microplastic polymers are disrupted.82 The types of enzymes that microorganisms secrete, such as lipases, proteases, and urease, are necessary for the enzymatic breakdown of microplastics.84

Currently, considerable research focuses on how microorganisms such as bacteria, fungi and algae break down aquatic microplastics, along with understanding the molecular mechanisms underlying their partial chemical breakdown.92–95 Through enrichment and culture, bacteria including Acinetobacter, Bacillus, Pseudomonas, and Klebsiella have been progressively isolated from wastewater, sludge, and plastic waste. Additionally, numerous genes and enzymes implicated in the breakdown of plastic have been consistently discovered.87–90

The primary fungi that can break down (micro)plastics are Xanthosporea pinnatifida, Aspergillus, Dendrosporum, Fusarium, and Penicillium. Their mycelial structures maximise the breakdown of microplastics by efficiently penetrating the surface of the polymer material and reaching its interior. Furthermore, fungi have the ability to produce a variety of oxidative enzymes and biosurfactants, which show exceptional efficacy in breaking down microplastics.96 Gao et al.97 isolated a strain of aquatic fungus. The alternative species FB1 demonstrated a degradation rate as high as 95% for polyethylene film within 120 days. Diglycolamine was the principal breakdown product, and laccase and peroxidase were the predominant degradation enzymes. Thus, there is a lot of room for research into identifying fungi that can break down microplastics from the environment, and the precise molecular pathways underlying this process are still unclear.

Microalgae offer tremendous application prospects since they are more adapted to the ocean than both fungi and bacteria, and they can perform photochemical processes and self-supporting nourishment for degrading marine microplastic contamination.98 Cyanobacteria, algal blooms, and diatoms, in particular, are the primary microalgae that have been shown to be able to break down microplastics.99 Microalgae that stick to plastic surfaces produce extracellular polysaccharides and ligninolytic enzymes, which are essential for the breakdown of plastic and help lower the activation energy required to break the chemical bonds of polymers.100

For a long time, environmental engineering, ecology, and environmental studies have considered MP pollution. Additionally, the breakdown of MPs by microorganisms provides a more humane means of combating microplastic contamination. The characteristics of microplastics affect the primary difficulties that arise when bacteria break down microplastics. The enzymatic reactions by microorganisms cause plastic to degrade. However, despite the numerous publications, it is still unclear which approach is best for the degradation of plastics, in addition to the microbes linked to MP degrading processes. The breakdown of bigger plastic particles into smaller ones is aided by various bacterial, fungal, and algal strains. Enzymes, both intracellular and extracellular, are also crucial for the breakdown of microplastics. Another method involves the degradation of microplastics via the mechanisms of oxidation, photocatalysis, and photochemical and electrochemical degradation.101

4.5 Degradation by oxygenation mechanism

The method reported by Du et al. works well for breaking down persistent contaminants. The production of reactive oxygen species is the basis for the breakdown of organic contaminants in this process.102 Reactive oxygen species directly initiate the decaying process by rupturing the long chain of polymers and completing the deterioration cycle through the production of valuable products.103

4.6 Degradation by photocatalysis

Using highly renewable solar energy, photocatalytic degradation is an environmentally friendly method for breaking down organic contaminants. The breakdown of semiconductor components in organic pollutants is the basis of this process. Breakdown commences in the semiconductor components when the photon energy substantially exceeds the bandgap energy of the semiconductor materials. In semiconductor materials, electrons from the outermost valence band easily migrate to the conduction band, forming a positive hole in the valence band and creating an electron–hole pair.102 Reactive oxygen species are produced when free hydroxyl radicals interact with both electrons and holes, and MP breakdown is directly triggered by the free reactive oxygen species.104

4.7 Degradation by photochemistry

Organic contaminants can also be broken down by photochemical degradation. Photochemical degradation is significantly influenced by ultraviolet (UV) radiation.105 Long-term exposure to UV radiation causes organic contaminants to breakdown, creating free radicals from oxygen and a lengthy polymer chain with a cross-linkage.106

4.8 Degradation by electrolysis

This approach is based on the anodized and cathodic surface deterioration of pollutants. Anodic degradation leads to passive oxidation via reactive oxygen compounds and hydrogen peroxide, as well as direct oxidation by charge transfer on the surface of the anode of impure substances. Oxygen free radicals and the electron Fenton method accomplish cathodic degradation of MPs. MP breakdown is caused by the Fe+- generated reactive species.102

On comparing the all above-mentioned methods that are employed to degrade microplastics, grinding, heating, and UV exposure are physical methods that are both efficient and effective in reducing particulate size. However, they are energy intensive and frequently result in the production of smaller microplastics. Advanced oxidation and photocatalysis are chemical methods that can completely decompose plastics into simpler compounds. However, they are costly and may result in secondary contamination. Biological methods are environmentally benign, but they are slow and have low efficiency, as they rely on microorganisms and enzymes to degrade plastics. In general, physical methods are rapid, chemical methods are highly effective but expensive, and biological methods are sustainable but slow to adopt.107

4.9 Degradation by plasma-assisted method

Plasma technology has demonstrated an exceptional performance in the treatment of microplastic waste and small-scale microplastic pollution, as evidenced by recent experimental results. For instance, a study integrated air plasma with electrofluid technology to degrade standard plastics, including polypropylene (PP), polyethylene (PE), and polyvinyl chloride (PVC). This approach has the potential to achieve a degradation efficiency of over 87%. Plasma technology offers a variety of benefits, including the absence of chemical reagents throughout the entire treatment process, which minimizes the risk of secondary pollution at the source. Additionally, its non-thermal properties render it suitable for heat-resistant materials. Finally, its robust compatibility enables it to be combined with other environmentally friendly processes, such as catalytic systems, photochemical reactions, ozone treatment, or ultrasonic technology, to create a multi-pathway degradation strategy that enhances the rate of degradation.108

4.10 Removal of microplastics by adsorption mechanism

A growing body of research highlights adsorption as an efficient, economical, and versatile method for removing MPs and nanoplastics (NPs) from water and wastewater, often achieving over 90% efficiency. Removal occurs through mechanisms such as hydrophobic and electrostatic interactions, hydrogen bonding, pore filling, π–π stacking, and surface complexation, depending on the adsorbent used. Nanomaterials and bio-based adsorbents show a particularly high performance due to their unique properties. However, their effectiveness depends on environmental conditions, and challenges related to large-scale application and potential risks remain. Despite these limitations, adsorption-based materials offer promising solutions for reducing microplastic contamination in water systems.109

4.11 Removal of microplastics by metal–organic frameworks

Metal–organic frameworks (MOFs) are highly proficient in the removal of microplastics from water samples, attaining adsorption and photocatalytic degradation rates of 70–99.9%. Their extensive surface area facilitates capture through electrostatic interactions, hydrogen bonding, and customized pores, while light-induced radicals contribute to the degradation of plastic surfaces. MOFs are also employed in composite membranes to enhance filtration and minimize contamination, while waste PET can be recycled to generate functional MOFs. Nevertheless, the large-scale implementation of these compounds is restricted by their high synthesis costs and long-term stability challenges.110

In the studies carried out by Barari Fateme et al.,111 they focused on the important role of MOFs in controlling microplastic pollution, particularly polystyrene (PS), which is widely present in the environment. The adsorption efficiency is influenced by microplastic concentration, particle size, contact time, and pH. About 32% of studies focused on PS at concentrations of 10–100 mg L−1, while most experiments used 100–1000 mg L−1. Nearly half of the studies examined contact times of over 200 min, indicating improved interaction with longer exposure, and 36% were conducted at pH 3–6, showing strong pH dependence. The main adsorption mechanisms include electrostatic attraction, acid–base interactions, and π–π interactions, with the pseudo-first-order and Freundlich models best describing the process. Additionally, the regenerability of MOFs supports their potential as sustainable and cost-effective materials for microplastic removal.112

5 Analytical methods for the identification of microplastics

5.1 Direct visual and microscopy methods

Direct visual techniques, optical microscopy findings, and electron microscopy analysis are visual inspection methods that can be used to choose and categorize microplastics based on the size and colour of the objects visualized under an optical microscope or with the bare eye. In these counting microscopy techniques, particles are counted directly and they are capable of recognizing particles in the millimetre (mm) range. Their advantages include the ease of identifying samples with a substantial quantity of larger-size microplastics, providing a rapid and cost-effective overview of microplastic richness. However, restrictions necessitate a combination of identification methods, as the composition of the materials is not known.113–115

Polarised light microscopy was used by Mossotti et al. to successfully identify polyethylene (PE) particles in toxicity testing.116 The crystal structure of the plastic may have an impact on the transmission of polarized light, which can be studied.117 However, to allow sufficient polarized light to pass through, small microplastic particles are necessary. Also, this technique is not applicable to opaque microplastic samples. The study of nanoplastics could benefit greatly from the use of dynamic light scattering. In a study employing dynamic light scattering, the authors discovered that the solar photochemical degradation process may convert second-hand microplastics into new nano-form plastics.118

It is possible to quickly and automatically study the soil dispersion and sizes of sedimentary particles accurately using laser diffraction particle size analysis.119 Blott et al. claimed that particles ranging in size from 0.04 micrometer to 2000 micrometer can be studied using this method; however, the results of the study could be distorted by several pollutants present in surrounding samples.120 While this method is not commonly employed for determining the size dispersion of microplastic particles, it is poised to become increasingly significant in this field as technological advancements continue.

Furthermore, MPs cannot be reliably distinguished from the vast array of other organic and inorganic substances including fibres from cellulose and starch waste by visual inspection. It has been observed that various parameters, such as the properties of the sample matrix, the quality of microscopy, and individual characteristics, significantly influence the process of visual inspection and the determination of microparticles. Additionally, the size constraint of some small-sized MPs is a disadvantage of the optical counting method. Visual inspection resulted in error rates as high as 70% with a decrease in MP size, indicating an increase in the number of errors.113

5.2 Analytical spectroscopic methods

The spectrum analysis technique provides more accurate information than visual identification. The polymer types in MP particles with the smallest particle sizes of 10 mm and 1 mm have been identified through Fourier-transform infrared spectroscopy and Raman spectral analysis.121–124 Raman spectroscopy (RS) serves as an essential method for determining the chemical formulation of MPs across various water sources, including freshwater, groundwater, drinking water, ocean water, and wastewater. According to Raman spectroscopy, the common MPs identified in water sources are polystyrene, polyethylene terephthalate, polyethylene, and polypropylene.

However, due to the inadequate diffraction resolution of the instruments, these two approaches have poor spatial resolution. Furthermore, the slow process of Raman scattering reduces the strength of the signal, presenting a disadvantage. Consequently, the theoretical spatial resolutions for Raman spectroscopy and FTIR are 1 µm and 20 µm, respectively.125 Additionally, the size, colour, density, and additives (such colorants and plasticizers) of MP particles vary, making their detection much more difficult. This indicates that without further modifying the aforementioned techniques, microplastics cannot be detected efficiently.

Surface-enhanced Raman spectroscopy (SERS) is a method for increasing the sensitivity of Raman spectroscopy.126 Many chemical compounds, including pharmaceuticals, contaminants, biomolecules, explosives, and microscopic plastic particles, can be detected in low quantities using this reliable technique.127–130 A crucial factor influencing enhanced spectroscopy amplification is the either dynamic or static aggregation of nanoparticles within the dispersion. As an output, a group of microparticles may have plasmonic characteristics distinct from those of single MPs, as well as higher plasmonic resonance wavelengths, hotspots, and enhancement efficiencies.

Xu et al. employed the commercially available substrate Klarite in the SERS detection of polystyrene and polymethyl methacrylate microplastics with a size as small as 360 nm.131 Intense surface-enhanced Raman spectroscopy signals were obtained from polystyrene nanoplastics trapped inside Ag nanowire network structures fabricated and coated on a renewable cellulose matrix in the study by Jeon and colleagues.132 For 46 nm AuNP substrates, Caldwell et al. obtained detection limits of 20 microgram millilitre−1 for the 33 nm PS, 15 microgram millilitre−1 for 62 nm PET, and 10 microgram millilitre−1 for 161 nm PS.133

A successive milling technique for creating PET particles in the nanometre range was created by the same team.134 As polystyrene (PS) nanospheres move along unique golden solid tiny pores, they may also be identified by SERS.135 Alternatively, according to the latest report by Lv et al., SERS allows for the detection of 100 nm-sized polystyrene plastics (at a concentration as low as 40 µg mL−1), differentiating among microplastic particle types such as PE and PP.136 Silver nanoparticles (AgNPs) were aggregated with salts to produce this improvement. A study demonstrated for the first time that SERS mapping could be used to produce a sequence of Raman spectra presenting chemical information when polystyrene nanoplastics are surrounded by aggregated silver nanoparticles on an enhanced Raman substrate.137

In a study, indiscernible plastic constituents as small as about 50 nm spiked in sample water could be detected using the suggested technique. Hu and colleagues138 developed an SERS method based on a silver colloid for identifying nanosized polystyrene plastics down to 50 nm in size. Recently, Lee and Fang devised a technique for detecting 600 nm polystyrene particles using gold nanoparticles as SERS substrates.139

Methods based on mass spectrometry are also employed to examine the polymer type in MPs. MPs need to be burned or digested for the analysis of liquid or gas samples in mass spectrometry. Consequently, this method can only determine the type of polymer and the quantity of MPs, not the dimensions or morphology of the MP particles. Advances in isotope tagging technology have led to the development of a unique mass spectral analysis for determining the quantity of microplastics by adopting the ICP-mass spectrometry technique. The detection and sizing of nanoparticles have also been made possible using the above-mentioned technique.140 This approach is extensively utilized for analysing metal-based nanoparticles in environmental samples.141–143

For instance, because of its comparatively small limit of detection of 8.4105 particles per L, single-particle ICP-MS has been used to evaluate the dimensions and total concentration of simulated gold-coated microplastics at the submicrometer scale. Nevertheless, its usage necessitated extensive sample preparation owing to its dependence on the non-direct assessment of the gold coating .144,145 By tracking 13C as the process progresses, single-particle ICP-MS has been employed to evaluate the dimensions of particles and amount of experimental plastic microparticles.146,147

Pyrolysis GC-MS is an effective and sensitive method for the characterization and measurement of the mass of various polymeric material types and their organic additives.110,148,149 It has been demonstrated that pyrolysis GC-MS works effectively with µ-ATR-FTIR spectroscopy to detect microplastics in environmental samples.150 However, it has a number of disadvantages. For matrix-rich materials, thorough sample clean-up is necessary due to the extremely small pyrolysis capsule size of 1.5 millimetre and 0.5 milligram, making it inappropriate for bulk analysis. It is also susceptible to obstructions or contamination. Dumichen et al.151 developed a thermal extraction desorption gas chromatography-mass spectrometry technique for the detection of microplastics to address these challenges.

Liquid chromatography-tandem mass spectrometry was successfully employed for the effective detection and quantification of MPs.152–155 However, this method is unfavourable since it requires depolymerising macromolecules prior to examination. The analytical method provides data on the total amount and volume of monomer molecules produced during degradation, in relation to the number, shape, colour and particle size of microplastics.

Majewsky et al.156 used differential scanning calorimetry (DSC) combined with thermogravimetric analysis (TGA) to analyse microplastics in wastewater, and according to the analysis report, only the materials polyethylene and polypropylene were readily easily distinguished. Without sample preparation, using TGA and mass spectrometry, David et al.157 attempted to quantitatively analyze polyethylene terephthalate (PET) in soil samples. Despite its success, this technique still needs to be improved and is limited to PET analysis alone. Chromatography and thermogravimetric analysis necessitate more rapid and potential methods for the quantitative identification of microplastics in soils and other complex environments.158 However, the destructive character of these processes precludes additional research, and the fact that the amount, structural form, and size parameters of the particles are unknown contributes to their limitations.

Castaneda et al.159 stated that the formation of polyethylene and other important microscopic particles commonly found in the environment are often discovered using differential scanning calorimetry (DSC). Since all plastic items have distinct qualities, DSC can be used to differentiate between various polymer types.160 However, there are restrictions since the peaks overlap when DSC detects microplastics with identical melting points.161 PP and PE are two of the main types of microplastics that can be identified by DSC, although it cannot identify all microplastics.

Addressing the issue of microplastics can be approached through a simple staining method. Nonetheless, following numerous endeavors to utilize alternative dyes, the fluorescent dye 9-diethylamino-5H-benzophenoxazine-5-one demonstrates remarkable efficacy in selectively staining extremely water-resistant microplastics. Another option is Nile red. Lipids that are physiologically neutral are commonly stained with this dye, but only in a hydrophobic environment. The Nile red staining method presents two notable advantages: brief staining durations ranging from 10 to 30 min and impressive recovery efficiencies that can reach up to 96%. An important drawback of staining materials with Nile red is the possibility of in situ staining of multiple organic or chemical molecules. Accordingly, a meticulous cleaning process is essential for effectively preparing samples for staining with Nile red dye. However, the extensive range of plastic densities constrains the efficacy of this approach. Alternatively, Nile red staining is an effective first step for locating hidden microplastics before a more in-depth spectroscopic analysis.162,163

Another method for assessing microplastics reported by Zhang et al. is the study of near-infrared (NIR) spectra164 by employing NIR spectroscopy and performing NIR analysis over a wide spectral range from 4000 to 15[thin space (1/6-em)]000 cm−1. According to Paul et al.,165 NIR analysis can be used to identify the type of sample rather than its quantity. It is also simple to filter and evaluate vast amounts of data from plastic sample sets.

The detection of MPs in water through impedance spectroscopy is a promising, label-free technique that offers high-throughput, in situ, and cost-effective monitoring, specifically employing electrical impedance spectroscopy (EIS) and impedance cytometry.166 Nevertheless, this method is still in the early stages of development and encounters numerous substantial obstacles in the identification, differentiation, and quantification of particles within intricate environmental samples. At present, its constraints include the inability to differentiate plastics from other environmental detritus, the challenge of coping with high conductivity, and its sensitivity to small or biological particles.

For a variety of polymers, an open Vis-NIR spectral database can be used to identify common microplastics such as PET, LDPE, and PVC. This approach determines the reflectance at various wavelengths by quantifying the reflected light from the surface of the sample within the 350–2500 nm spectral range. Nonetheless, owing to its dependence on optical detection, there remains a possibility that biological particles could be erroneously identified as plastic materials, necessitating human decision-making.

To discern microplastics within diverse surroundings, an array of analytical techniques can be employed (Table 1). The diminutive nature of microplastics renders their detection increasingly challenging. Analysis at sub-micron levels is increasingly crucial for evaluating the adverse effects of microplastics on both environmental systems and human well-being. Innovative dyeing techniques, nanotechnology, and analytical approaches should all be further developed in studies to detect and remove microplastics from environmental samples.

Table 1 Analytical techniques employed for the detection of microplastics
S. No. Technique Basis of operations Advantages Disadvantages Ref.
1 FTIR spectroscopy This method uses the Fourier-pair relationship between a spectrum and its interferogram. Infrared light passes through a Michelson interferometer and is absorbed by molecular bonds at specific frequencies Safe, non-destructive, and highly specific to certain polymer types Only functional groups are detected, not individual molecules. Limited by particle size and potential substrate contamination 167 and 168
2 Raman spectroscopy Raman spectroscopy uses a laser to induce scattering and generate a fingerprint spectrum, enabling qualitative analysis by comparing chemical structures to reference samples Raman spectroscopy offers high depth resolution, enabling accurate identification of microplastics even at very small sizes Raman spectroscopy can be affected by dyes, additives, and fluorescence, leading to signal interference, longer analysis times, and difficult identification 169–171
3 Inductively coupled plasma mass spectrometry (ICP-MS) ICP uses high-temperature argon plasma to atomize and ionize microplastic samples, which are then analyzed by mass spectrometry. Specific m/z values, like 13C+, allow the detection and quantification of individual microplastic particles ICP-MS detects microplastics at ultra-low concentrations, providing particle count, size distribution, and elemental composition. It enables source identification through isotope analysis and offers faster results than microscopy Detection of carbon-based microplastics can be hindered by other carbon sources like organic matter and microbes. Interfering elements may affect signals, requiring calibration and often confirmation by FTIR or Raman methods 146 and 172
4 SEM-EDX (scanning electron microscopy with energy dispersive X-ray spectroscopy) SEM-EDX detects microplastics in water, soil, and tissues by analyzing X-rays to determine elemental composition. It also reveals contaminant adsorption, aiding toxicity assessment SEM provides detailed images of microplastic morphology, while EDX identifies elemental composition, aiding polymer identification. Together, they offer a powerful tool for comprehensive microplastic analysis across various environmental samples SEM-EDX requires time-consuming sampling, and its element detection limits can affect trace or tiny microplastic analysis. Similar elemental compositions may hinder accurate differentiation 173 and 174
5 Pyrolysis GC-MS Microplastics are thermally degraded into volatile compounds, which are separated by chromatography and identified by mass spectrometry based on their mass-to-charge ratio, enabling polymer type identification Requires only a small sample and enables microplastic identification in salt, soil, sediment, and water with minimal interference from additives or MP properties like color, size, and shape Identifying all polymer types is challenging due to matrix effects and thermal degradation products; internal standards are essential for accurate analysis 175 and 176


5.3 Electrochemical detection of microplastics

Electrochemical detection is dependent on the electrically insulating properties of the majority of synthetic polymers to produce measurable signals, such as impedance changes or current obstructions. Electron transfer, physical adsorption, frequency of collisions at the electrode-solution interface, and particle size, surface charge, and functional groups that are unique to polymers directly influence the electrochemical signals in the detection of MPs.177

The distinctive electrical properties demonstrated by MPs and various particles within an electrical field have facilitated the extensive application of electrochemical sensors in the detection of contaminants in the environment. Particularly, the rise in specialized electrochemical sensors for MPs is noteworthy, which have benefits such as quick response times, easy operation, portability, and cost-effectiveness in comparison to other approaches. Moreover, electrochemical methods work better than traditional ones since they allow for the easy on-site assessment of different types of samples and do not require MP isolation or purification beforehand.

Shimizu et al. utilized particle impact electrochemistry, which enabled the successful detection of polyethylene circular microbeads with diameters ranging from 1 to 22 micrometers.178 Particle-electrode impact is a widely used method for analysing particles dispersed in a solution medium. During chronoamperometry testing, a rapid current response was seen when particles collided with a microwire electrode made from carbon fibre. An undivided three-electrode configuration was used for the electrochemical analysis, and a certain voltage was applied to achieve the desired reaction. The transitory current response, sometimes referred to as a “spike,” was caused by particles colliding with the electrode and the collision factor, which led to an alteration in the observed signal and helped the sensors to detect particles directly. This spike was analyzed for the presence of MPs.

To detect polyethylene-based microplastics, Colson and Michel179 employed flow-based cytometry in combination with an impedance spectroscopy-based sensor. The initial step toward the development of a high-throughput, in situ sensor (impedance signatures) for the quantification of microplastics in freshwater bodies is the use of impedance spectroscopy in the laboratory for the detection of microplastics in tap water due to its effectiveness.

A flow cytometry component was employed that relied on the relationship between particle volume and the variation in the real part of impedance at low frequencies. The path utilized by the microplastics across the electrodes caused an impedance change that was exactly proportional to the particle volume and especially visible at low frequencies. By establishing a linear correlation between resistance change and particle size through the relationship between particle size diameter and the cubic root of the actual resistance change, the sensor was able to successfully determine the amount and size of microplastic beads from 210 to 1200 µm and polyethylene microplastics from 212 to 1000 µm.

Microplastics were investigated by Gongi et al.180 at varying concentrations of extracellular polymetric substances (EPS) between 10−11 and 10−5 M. A three-electrode assembly was utilized in this experiment, in which the working electrode was a gold electrode treated with EPS. Platinum served as the counter electrode, whereas a saturated calomel electrode served as the reference electrode. Four different types of microplastics of different sizes could be detected, including polystyrene, which had a size of 0.1 µm, polymethyl acrylate, with a size of 10 µm, nylon polyamide, with a size of 50 µm, and low-density polyethylene, with a size of 1 mm, among the found microplastics. Sensors can detect microplastics by measuring the variations in electric signals generated through the kinetic binding of each type of microplastic to the electrode surface. Cyanobacterial extracellular polymeric substances (EPS) function as bioreceptors with a strong affinity for various types of microplastics, thereby generating a consistent and dependable signal. The EPS resistance (Rm) increases as the concentration of MPs increases. However, interference investigations have not been documented.

To identify polyethylene microplastics (PE-MPs) in wastewater, Wang et al.181 suggested employing electroactive biofilms in microbial electrochemical systems (MES). The setup consisted of an Ag/AgCl reference electrode, titanium mesh cathode, and carbon fiber brush anode. MP exposure changed the characteristics of the biofilm and increased the internal resistance, primarily because of the greater charge transfer resistance (Rct), as demonstrated by impedance spectroscopy. This increase was connected to both enhanced cell death and MP binding. MECs exhibit promise for future wastewater cleanup applications, MP quantification, and type/size discrimination. They examined the potential effects of PE microplastics on the microbiology and electrochemistry of exoelectrogenic biofilms in microbial electrolysis cells (MECs) and microbial fuel cells (MFCs). They showed how PE-MP affected the electrogenic bacteria in MFCs and MECs. It was discovered that the current density decreased as the PE-MP concentration increased in MECs but did not significantly change with the presence of PE-MP in MFCs. Fig. 3(a–d) shows the performance and electrochemical activity of MESs and their current density responses along with Nyquist plots.


image file: d5ra09062h-f3.tif
Fig. 3 Performance and electrochemical activity of MESs. (a) Current density output in MFCs; (b) current density response in MECs; and (c) Nyquist plots and (d) internal resistance analyzed by fitting to the equivalent circuit ((c), inset) for the anode biofilm via EIS, respectively. This image was adapted from the reference under a CC-BY license.181

In a recent study, Du et al.182 suggested a novel sensor for polymeric styrene microplastics, which were detected at different particle sizes ranging from 0.08 to 20 µm and concentrations from 0.01 to 25 mg L−1 using graphene electrodes and impedance spectroscopy. The greatest R2 value of 0.9914 was achieved for PS, specifically for particles with a size of 1 µm, showing a strong linear association. These results demonstrate the accuracy and reliability of the sensor in measuring PS amount and particle size in actual samples. Electrochemical impedance spectroscopy (EIS)-based graphene electrode sensors operate by detecting fluctuations in electrical impedance (resistance and capacitance) at the electrode/electrolyte interface as a result of analyte adsorption or binding. The tunable electronic structure, rapid electron transfer capability, and high specific surface area of graphene make it a highly sensitive transducer for the detection of microplastics, frequently at low concentrations.

Changhu Lee et al.183 suggested a single-entity electrochemistry approach for detecting microplastics in water, emphasizing the interaction between the electrode surface and microplastics in aqueous solution. Fig. 4 shows the current change brought on by microplastics striking the electrode surface and how to detect real microplastics using an ultramicroelectrode (UME), which is made by hand-grinding throwaway plastic containers to resemble the microplastics that are found in aquatic ecosystems naturally. The amperometric it curves of a solution containing potassium ferrocyanide and microplastics from grinding plastic cups made with polypropylene (PP) and disposable storage containers made with polystyrene (PS) with a Pt UME are displayed in Fig. 5a and b. The arrows point to the step current produced by microplastic impacts, and the inset photos offer a closer look at the area delineated in the red box.


image file: d5ra09062h-f4.tif
Fig. 4 Schematic of the current change caused by microplastics colliding with the electrode. This image was adapted from the reference under a CC-BY licence.183

image file: d5ra09062h-f5.tif
Fig. 5 Amperometric it curves of solution containing 100 mM potassium ferrocyanide and microplastics produced by grinding (a) disposable storage containers (PS) and (b) plastic cups (PP), using a 10 µm Pt UME at +0.5 V (vs. Ag/AgCl). The insets offer a magnified view of the area boxed in red; arrows highlight the discrete current steps resulting from microplastic collisions. This image was adapted from the reference under a CC-BY licence.183

Utilizing the surface charge characteristics of polystyrene and polypropylene microplastics, they used the migration phenomenon brought on by the ongoing oxidation of potassium ferrocyanide to draw these particles to the electrode surface. The sudden shift in the steady-state current upon the microplastic contacting the UME surface indicated that the microplastic detection was successful.

To detect PVC microplastics in aquatic environments, Surucu, Ozge184 demonstrated a new type of chemical sensor. In his work, a composite of graphene oxide (GO), multi-walled carbon nanotubes (MWCNTs), and silver nanoparticles (AgNPs) on a gold electrode was used to create a novel electrochemical sensor. With a detection range of 1.00–5.00 mg mL−1 and a limit of detection (LOD) of 0.79 mg mL−1, the modified electrode identified PVC microplastics in freshwater and saltwater at −0.30 V vs. Ag/AgCl, as described by SEM-EDX. Heavy metals were also detected in the samples by ICP-MS analysis, demonstrating the long-term prevalence of PVC in marine habitats.

The latest research focuses on electrochemical sensors185 that detect microplastics by measuring changes in electrical signals brought on by interactions between microplastics and the sensor surface using techniques such as voltammetry and impedance spectroscopy. Particle size, charge, and functional groups unique to a polymer can all affect these signals. Low-concentration detection is made possible by the enhancement of sensitivity, conductivity, and surface area provided by sensor materials such metal oxides, graphene, carbon nanotubes, and nanocomposites. Selectivity is further enhanced by modified electrodes with dye tags or chemical recognition units (Table 2). The requirement for resilient designs is highlighted by the fact that performance varies with water matrix complexity.

Table 2 Detection of microplastics by different electrochemical sensors
Electrode material MP type Study Linear range Advantages Detection limit Ref.
Bi2O2S/CuBi2O4 photocathode–photoanode PS microplastics Dual photoelectrode PEC sensor 0.5–1000 µg mL−1 High photocurrent response 0.09 µg mL−1 186
Carbon SPE + FITC-tagged PS-binding peptide PS MPs EIS + peptide sensor 50 ppb–20 ppm Strong EIS change per ppb-level PS 50 ppb (pure/tap); 400 ppb (saline) 187
ITO + chitosan-MgO nanosheets HMT additive (proxy) DPV nanocomposite sensor 0.5–4.0 µM Sensitivity of 12.9 µA µM−1 cm−2 0.03 µM 188
Carbon fiber UME (∼10 µm) PS and PP MPs Ultramicroelectrode collision method Particle count proportional Single-particle current step detection Approx. 103–104 particles per mL 183
Waste-derived graphene PS (also PA, PMA, and PE) Graphene EIS sensor 0.01–25 mg L−1 High impedance change per mg L−1 0.01 mg L−1 182
Gold + cyanobacterial EPS membrane PS, PE, PP, and PVC EPS-biosensor EIS 0.1 µM−1 mM Lowest detection limit 10−11 M 180


Zizhen Xiao et al.186 created a portable PEC sensor that is self-powered and incorporates both a photocathode (ITO/CuBi2O4) and photoanode (ITO/Bi2O2S). The sensor effectively utilizes the inherent variation in Fermi levels between CuBi2O4 and Bi2O2S to enhance its signals and facilitate electron flow, resulting in an impressive performance in the quantitative identification of PS MPs. This sensor is capable of detecting polystyrene microplastics (PS MPs) both sensitively and conveniently. It has a linear range of 0.5 to 1000 µg mL−1 and a detection limit of 0.09 µg mL−1 under the optimal conditions. The method exhibits strong anti-interference capacity with respect to organics and heavy metal ions. Also its accuracy can be maintained at a level exceeding 97% in the presence of interfering substances. In addition, this sensor exhibited an exceptional performance in intricate aquatic environments, thereby establishing an innovative design strategy for the development of PEC sensors for the detection of PS MPs.

A method for the on-site selective detection and quantification of microplastics in a variety of water matrices was developed by Abbas Motalebizadeh et al.187 using fluorescence-tagged peptides in conjunction with electrochemical impedance spectroscopy (EIS). Polystyrene (PS) microplastics were chosen from the various varieties of plastics present in seawater. The specific interaction of these peptides with PS spherical particles of varying diameters (0.1 to 250 µm) was confirmed using fluorometry, scanning electron microscopy (SEM), and Raman spectroscopy. The fluorescence intensity was used to determine the effects of temperature (25–65 °C), incubation time (5 and 10 min), and particle size on the plastic-peptide bonding efficacy using principal component analysis (PCA). The EIS parameters underwent a considerable change in comparison to the baseline as the plastic concentration increased. Consequently, a limit of detection (LOD) of 50 ppb (ng mL−1) was established for pure and tap water and 400 ppb for saline water. This sensor demonstrated exceptional efficacy in the detection of microplastics in low-ionic strength environments.

Ashab Noumani et al.188 described an electrochemical hexamethylenetetramine (HMT) sensing method employing a sensing platform constructed using a chitosan-magnesium oxide nanosheet (CHIT-MgO/NS) nanocomposite. HMT is classified as a hazardous microplastic and is employed as an additive in plastic manufacturing. Thus, it was chosen as the target analyte. To create sensing electrodes, a simple co-precipitation technique was implemented to synthesize MgO-NS. This material was subsequently combined with a 1% CHIT solution to create the CHIT-MgO-NS composite. The CHIT-MgO-NS/ITO sensing electrode was fabricated by drop-casting the nanocomposite solution onto an indium tin oxide (ITO) substrate. This electrode was used to detect HMT electrochemically using the cyclic voltammetry (CV) and differential pulse voltammetry (DPV) techniques. DPV was implemented to ascertain the limit of detection (LOD) and sensitivity. The calibration curve for HMT demonstrated a sensitivity of 12.908 µA (µM)−1 cm−2 with a detection limit of 0.03 µM and a limit of quantification (LOQ) of 0.10 µM in the range of 0.5 µM to 4.0 µM.

6 Summary and outlook

In summary, the growing prevalence of microplastics in both terrestrial and aquatic environments highlights the urgent necessity for effective detection, monitoring, and remediation policies. However, there is still a lack of accurate tracking, toxic exposure evaluation, and treatment techniques, despite the fact that microplastic contamination has become a global issue. Consequently, this review study looked at the toxicity, distribution, analytical techniques, health risk, and remediation technologies for microplastics. The problem of microplastics is being addressed by governments, and in the years to come, we might anticipate additional efforts to stop pollution, such as a ban on the use of plastic bags, bottles, and several other plastic items in our daily routine.

While conventional spectral analyses such as FTIR and Raman spectroscopy offer precise analysis, their reliance on complex and costly sample preparation limits their practical application. Thus, because of their ease of use, affordability, and possibility for continuous assessment, electrochemical technologies have become attractive substitutes. These techniques enhance our understanding of microplastic behaviour and support the development of innovative sensors and sustainable remediation approaches. Addressing the pollution along with the end-of-life management of microplastics requires continued research and advancement in analytical and electrochemical methodologies, which are key to mitigating their environmental footprint.

Depending on how widely they spread after exposure, microplastics may cause systemic or local immune responses. However, in other circumstances, such as genetic predisposition, environmental exposure alone can weaken the immune system and cause autoimmune diseases. Particulate matter inhalation can trigger immune cell activation, autoantibody production, and self-antigen exposure through particle translocation, cytotoxicity, inflammation, cancer, oxidative stress, and immune modulator release, all of which can result in autoimmune disorders.

Adopting eco-friendly substitutes such as organic fibre products and recyclable packaging, enforcing stringent laws on plastic manufacturing and waste disposal, and informing the public about the negative impacts of microplastics are some suggestions to lessen microplastic contamination. Therefore, there is an urgent need for national initiatives to tackle microplastic contamination as well as more experts conducting on-going research. There is currently a lack of research on microplastic pollution, evaluation, surveillance, and removal technologies.

7 Conclusion

Standardization and protocol development are key priorities for advancing electrochemical microplastic detection, as the lack of unified methods limits performance comparison and routine application. Future research should focus on establishing common testing procedures, calibration standards, and evaluation metrics. Improving multitarget detection is also essential, with emphasis on sensors capable of simultaneously identifying multiple microplastic types, supported by refined machine learning techniques. Moreover, integrating advanced technologies such as artificial intelligence and hybrid sensor systems can enhance data analysis, real-time monitoring, and polymer identification. Combining multiple sensing approaches may enable comprehensive microplastic characterization. Addressing these challenges is crucial for transforming laboratory-based sensors into reliable, field-deployable monitoring tools.

In the future, the successful transition of electrochemical sensors from laboratory prototypes to field-utilizable systems necessitates collaborative interdisciplinary endeavors that integrate data analytics, environmental engineering, and materials science. The ultimate objective is the development of continuous microplastic monitoring methods. By continuous innovation in electrochemical sensing technologies, it is feasible to establish networks that can monitor pollution sources, movement pathways, and environmental fate. These systems will furnish the essential data required to inform policy decisions, evaluate remediation strategies, and preserve the ecosystem and human health from the pervasive menace of microplastic contamination.

Author contribution

Conceptualization, K. K. and A. K. S.; methodology, validation, formal analysis, data curation, software, writing – original draft preparation, K. K.; and resources, supervision, project administration, funding acquisition, writing – review & editing, validation, A. K. S.; all authors have read and agreed to the published version of the manuscript.

Conflicts of 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.

Data availability

This review article utilizes previously published data, all of which have been properly cited and used with the necessary permissions. Complete details and sources of the data are provided within the manuscript.

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