0
Article Tier 2 Detection Methods Environmental Sources Human Health Effects Remediation Sign in to save

Advances in microplastic characterization: Spectroscopic techniques and heavy metal adsorption insights

TrAC Trends in Analytical Chemistry 2024 40 citations

AI summary Read the abstract

This review covers the various techniques scientists use to identify and characterize microplastics and the heavy metals that stick to their surfaces, including infrared spectroscopy, Raman spectroscopy, and electron microscopy. Understanding what types of plastics are present and what toxic metals they carry is essential for assessing the health risks of microplastic exposure.

Microplastics (MPs) have become a matter of very serious concern as environmental pollutants nowadays because of the humongous increased production, use-and-discard nature associated with them, and the contamination of the environment with micro- and nano-plastics and other pollutants carried over by them, like many heavy metals, organic species, etc. Researchers have employed various techniques for detecting and classifying microplastics, mainly based on their optical or mass spectra or specific mass. This article discusses the various techniques used to characterize microplastics and surface-adsorbed heavy metals. Conventional techniques like Fourier Transform Infrared (FTIR) spectroscopy and Raman spectroscopy are widely used to identify the class of MPs and provide details about the extent of pollution. Heavy metals are one of the other environmental contaminants that can cause severe health issues. The microplastics act as a vector for transporting heavy metals from different locations and induce a potentiating effect. To identify the heavy metals adsorbed onto the MPs, various techniques such as Inductively Coupled Plasma Mass Spectrometry (ICP-MS), Energy Dispersive X-ray Spectroscopy (SEM-EDS), and others are used. After a review of the current identification approaches, which require the utilization of multiple resources and expertise for microplastic characterization and their surface-adsorbed heavy metal detection, the recent development of a single multi-modal spectroscopy system, capable of identifying both molecular and elemental information, which serve the purpose of microplastics and surface-adsorbed heavy metal identification in short times, enabling rapid screening and classification of samples, is discussed. Novel methods using such multi-modal systems-containing Laser-Induced Breakdown Spectroscopy (LIBS)/and Raman/fluorescence spectroscopy-under a single platform will come in handy in the future for the complete analysis of the microplastic samples for plastic classification and heavy metal detection. • Recent advances in the analytical methods used to identify and classify MPs based on their shape, size, and polymer class. • Discussion on advantages and limitation of different experimental techniques. • Insights about multi-modal techniques for MPs characterization along with adsorbed heavy metals. • Future directions for in-situ microplastic identification.

More Papers Like This

Article Tier 2

Microplastics: Challenges, toxicity, spectroscopic and real-time detection methods

AI summary Read the abstract

This review paper summarizes the challenges of detecting microplastics and the latest methods scientists use to find and identify them, including infrared, Raman, and fluorescence spectroscopy. It also covers the known toxic effects of microplastics on living organisms, including how they can carry harmful chemicals and pathogens. Better detection methods are important because understanding where microplastics are and what types are present is the first step toward assessing health risks.

Article Tier 2

High-resolution characterization technology for micro-/nano-plastics

AI summary Read the abstract

This review provides an overview of advanced technologies for detecting and characterizing micro- and nanoplastics, including Raman spectroscopy, infrared imaging, and mass spectrometry techniques. Researchers evaluated the capabilities and limitations of each method, particularly for identifying the smallest plastic particles that are most challenging to measure. The study emphasizes that improving detection at the nanoscale is essential for accurately assessing the environmental and health risks of plastic pollution.

Article Tier 2

Microplastic Detection and Monitoring in Biological and Environmental Systems: A Mini Review of Techniques and Strategies

AI summary Read the abstract

This mini review compares the major techniques used to detect and measure microplastics in both environmental and biological samples, including infrared spectroscopy, Raman spectroscopy, and mass spectrometry methods. Researchers evaluated the strengths and limitations of each approach for identifying different types and sizes of microplastic particles. The study provides practical guidance for choosing the right detection method depending on the specific research question and sample type.

Article Tier 2

Advanced analytical techniques for microplastics in the environment: a review

AI summary Read the abstract

Researchers reviewed the most advanced laboratory tools for detecting and identifying microplastics in environmental samples — including infrared spectroscopy, Raman spectroscopy, and pyrolysis gas chromatography — summarizing the strengths and weaknesses of each technique to help researchers choose the right method for accurate microplastic analysis.

Article Tier 2

Analytical methods for microplastics in the environment: a review

AI summary Read the abstract

Researchers reviewed classical and advanced analytical methods for detecting microplastics in the environment. The methods covered include visual analysis, electron microscopy, infrared and Raman spectroscopy, thermal analysis, mass spectrometry, and flow cytometry, providing a comprehensive overview of available tools for microplastic identification and quantification.

Research digests by email

When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.

Email me about

Share this paper