A recent study from Heliyon examined microplastic contamination in soda beverage packaging.
Microplastic contamination is a growing issue globally. A new study published in Heliyon examined this issue, specifically investigating whether there is a correlation between contamination levels and geographic location (1). This study, led by Yunxiang Wang from the University of Southern California, attempted to discern whether significant differences emerge in microplastic contamination between aluminum, glass, and plastic container types (1).
Close-up side shot of hands shows microplastic waste contaminated with the seaside sand. Microplastics are contaminated in the sea. Concept of water pollution and global warming. | Image Credit: © Pcess609 - stock.adobe.com
Microplastics are a common type of environmental pollutant normally found in oceans (2). These contaminants are typically smaller than 5 mm in diameter (1). Microplastics are tiny particles resulting from the breakdown of larger plastic products, and they pose threats to not only ecosystems, but also to the food and beverage supply (1,2). Ingested microplastics can release harmful chemicals and act as carriers for pathogens, leading to adverse health effects, especially with prolonged exposure (1,2). Although the threat of microplastics has been well-documented, Wang's study is among the first to investigate how both geographic location and container type influence the presence of MPs in beverages.
The research team focused on a single soda brand, which was left anonymous in the study. The team collected samples from four major U.S. cities: Atlanta, Chicago, Los Angeles, and Washington, D.C. The researchers tested the samples from three different packaging materials (aluminum, glass, and plastic). Each city-container combination was examined through a process that utilized laser infrared spectroscopy to identify and quantify the microplastics present (1).
In the end, the researchers compiled 36 different sample sets. Before filtration, the soda samples were unsealed for an hour to allow carbon dioxide to dissipate. The filtration process employed a 50 mL glass syringe combined with a polytetrafluoroethylene (PTFE) membrane filter paper to isolate MPs from the liquid (1).
Next, the containers were rinsed with microplastic-free water to capture any microplastics to make sure none remained in the container (1). The filtered material was subjected to ethanol rinses, after which the remaining solids were analyzed on specially designed glass microscope slides (1). The final examination of the MPs was conducted using Laser Direct Infrared (LDIR) spectroscopy, a cutting-edge technique that allows for precise identification of even the smallest particles.
Using LDIR spectroscopy, the research team discovered that notable differences were found based on geographic location. For example, beverages sourced from Los Angeles consistently exhibited the lowest levels of microplastic contamination, a result that Wang suggests could be linked to stricter quality control and filtration practices in the city’s manufacturing processes (1). As a result, the researchers conclude that local water sources could play a role in the microplastic content of beverages (1).
The research team used principal component analysis (PCA) to explore the relationships between the data. They identified three main principal components that highlighted the geographic differences in MP levels. However, PCA was less effective in distinguishing between container types, reinforcing the conclusion that geography plays a more significant role in microplastic contamination than packaging material (1).
Plastic population continues to be an issue globally. Over 450 million tons of plastic are produced per year, compared to only 2 million tons in 1950 (3). Understanding the nuances of microplastic contamination is crucial for developing strategies to mitigate its impact on public health and ecosystems (1). This study highlights the need for further studies to investigate how geographic factors influence microplastic contamination in other food and beverage products.
Artificial Intelligence Accelerates Molecular Vibration Analysis, Study Finds
July 1st 2025A new review led by researchers from MIT and Oak Ridge National Laboratory outlines how artificial intelligence (AI) is transforming the study of molecular vibrations and phonons, making spectroscopic analysis faster, more accurate, and more accessible.
Toward a Generalizable Model of Diffuse Reflectance in Particulate Systems
June 30th 2025This tutorial examines the modeling of diffuse reflectance (DR) in complex particulate samples, such as powders and granular solids. Traditional theoretical frameworks like empirical absorbance, Kubelka-Munk, radiative transfer theory (RTT), and the Hapke model are presented in standard and matrix notation where applicable. Their advantages and limitations are highlighted, particularly for heterogeneous particle size distributions and real-world variations in the optical properties of particulate samples. Hybrid and emerging computational strategies, including Monte Carlo methods, full-wave numerical solvers, and machine learning (ML) models, are evaluated for their potential to produce more generalizable prediction models.
Polystyrene and UVC Sterilization Tested with Spectroscopy and Luminescence Tools
June 25th 2025A team of researchers from Spanish institutions has found that polystyrene used in healthcare packaging shows strong resistance to UVC sterilization, with minimal chemical degradation detected using FT-IR and Raman spectroscopy.