Progress in quantitative analysis of microplastics in the environment: A review
Graphical abstract
Introduction
To understand the environmental significance of a newly identified group of “emerging contaminants” a great deal of effort has been directed to describing their distribution, fate, and impact on the environment [1]. However, a large information gap persists regarding a number of contaminants that cannot be identified and/or quantified due to the inadequate sensitivity of current analytical techniques [1]. A reliable analytical technique could serve as a pivotal platform for the first stage of the identification and quantification of the chemical constituents of these contaminants. After the determination of contaminants, their degradation pathways and origins can be estimated [1]. Research on emerging contaminants has become a popular subject among environmental scientists and engineers [2]. Among the various types of emerging contaminants, microplastics have attracted attention due to large quantities and wide distributions in the environment. A number of intensive efforts to study their production, fate, and environmental impacts have been made over the last 5 years (Fig. 1).
According to previous reports, surplus plastic waste materials in the landfill sites can be introduced to complex environmental matrices and become sources of microplastics. Plastic debris itself can reduce the adsorption capacity of soil and allow for the transportation of organic and inorganic pollutants into groundwater and crops [3]. These processes are potentially hazardous because humans can consume the pollutants through these sources. It has been also reported that microplastics consumed by other animals can bioaccumulate in the higher predators of a food web, ultimately leading to the harmful health issues to both wildlife and humans [4], [5].
“Microplastics” are particles less than 5 mm in diameter. There are two categories of microplastics based on their sources. Primary microplastics are manufactured with a small particle size for use as cosmetics, skin scrubbers, and microfibers in clothing. Secondary microplastics are smaller particles formed through the breakdown or/and fragmentation of larger items due to exposure to solar radiation, weathering, or gradual weight loss in the environment [6]. Plastics are widely used in various industries and countries because of their superior physical and chemical properties compared with conventional materials, such as wood and metal, and their lower costs [7]. The presence of microplastics in a variety of ecosystems must be evaluated in a transparent manner, given the potential hazards they pose.
Protocols for qualitative and quantitative analyses of microplastics have yet to be established [4], [8], [9]. Common separation-based analytic techniques such as gas chromatography (GC) cannot be employed for direct analysis due to the low volatility of plastics. In detail, GC consists of a flow control section, which is composed of a sample injector, column, and column oven; a detector; and a data processor. The samples are rapidly injected into the GC column through an injector at ≤ 300℃ to be analyzed by a detector, but plastic materials do not fully exist as gas-phase compounds in this temperature range. Spectroscopic instruments, such as Fourier-transform infrared (FTIR) and Raman spectrometers, can be used to identify types of plastics [10], [11], but are practical only for pure plastics. Pyrolysis–gas chromatography/mass spectrometry (pyro-GC/MS) thermally degrades plastics into volatile organic compounds that can be identified. By measuring the quantity of representative index chemicals of each plastic, pyro-GC/MS can quantify the plastics in environmental samples, making it a promising solution for the direct analysis of all kinds of microplastics [12], [13]. Compared with other analytical methods that require multiple pretreatment processes to obtain isolated plastic particles for identification, pyro-GC/MS offers the advantage of not requiring various pretreatment steps for the identification and quantification of microplastics in an environmental matrix. The detection of microplastics can also be affected by the selection of sampling and pretreatment methods according to impurities present in the environment, because the appearance and chemical composition of collected samples can change after pretreatment processes [10].
In this review, we survey analytical methods for the detection of the six most broadly used plastics (polyethylene: PE, polypropylene: PP, polyethylene terephthalate: PET, polystyrene: PS, polyvinyl chloride: PVC, and polyamides: PAs) along with polymeric additives for their synthesis that can be found in industrial and household materials. We also comprehensively address conventional analytical tools for the identification of pure plastics and the challenges they pose during analysis of plastics in a complex environmental matrix. The advantages of pyro-GC/MS analysis for the identification and quantification of plastics in the environmental matrix are discussed, and the practical applications of this tool are described. Current technical challenges of pyro-GC/MS and promising future studies are then suggested.
Section snippets
Visual identification of microplastics using microscopes
The appearance and distribution of millimeter- and centimeter-sized plastic materials on beaches, surface waters, and soils were recognized as significant environmental and esthetic issues prior to the emergence of concerns about the presence of microplastics. Millimeter- and centimeter-sized plastics are comparatively easy to detect by the naked eye after sorting plastics in collected samples. In the case of the presence of plastics in a complex environmental matrix, further pretreatment
Thermal analysis
Thermogravimetric analysis (TGA) monitors the thermal stability and fraction of volatile compounds in a material [35], [36]. It measures the mass change of samples as a function of thermolysis temperature to quantify the volatile compounds, and the derivative of the mass-change curve determines the mass-loss rate. As shown in Fig. 4, different plastic materials exhibit specific thermolytic behaviors in a broad temperature range, allowing for the identification of specific types of plastics when
Identification of microplastics using representative indicator chemicals and ions
Pyro-GC/MS provides information on the thermally degraded volatile organic compounds derived from pyrolysis of a substance. Compared with conventional GC/MS, pyro-GC/MS has an additional micro-furnace pyrolyzer mounted vertically on the GC instrument, which allow for to pyrolysis of a small quantity of samples. The operating temperature for the pyrolyzer is typically between 500℃ and 800℃. The gaseous effluents that evolve from the micro-furnace pyrolyzer flow directly into the GC column, and
Challenges and future studies
Pyro-GC/MS can identify types of plastics found in the environment. The ability to quantify microplastics in samples collected from the environment has been proven by several studies. For the quantification, it is of great importance to select representative index chemicals and indicator ions for each polymer, and the separation of the indicator ions of plastics from chromatograms of environmental matrix is required. However, the selection and separation of indicator ions can be challenging
Conclusions
The production of plastics and their distribution into the environment, as well as the current identification and quantification techniques for determination of microplastics were summarized. Among the various analysis techniques, pyrolysis–gas chromatography/mass spectrometry (pyro-GC/MS) enables both the identification and quantification of microplastics existing in the various environmental matrix. It allows for the detection of small quantities of invisible microplastics in environmental
Declaration of Competing Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Acknowledgments
This study was supported by National Research Foundation of Korea (NRF) grants funded by the Korean government (MSIT) (NRF-2019R1A4A1027795). This work was supported by Brain Pool Program through the National Research Foundation of Korea (NRF) funded by Ministry of Science and ICT (2019H1D3A1A01070644).
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