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Prioritizing Suitable Quality Assurance and Control Standards to Reduce Laboratory Airborne Microfibre Contamination in Sediment Samples
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Airborne microfibers from the laboratory environment can contaminate samples during microplastic analysis, leading to inflated counts. This study evaluated contamination control measures and recommends specific quality assurance standards to improve data reliability.
The ubiquity and distribution of microplastics, particularly microfibres, in outdoor and indoor environments makes it challenging when assessing and controlling background contamination, as atmospheric particles can be unintentionally introduced into a sample during laboratory analysis. As such, an intra-laboratory examination and literature review was completed to quantify background contamination in sediment samples, in addition to comparing reported quality assurance and control (QA/QC) protocols in 50 studies examining microplastics in sediment from 2010 to 2021. The intra-lab analysis prioritizes negative controls, placing procedural blanks in various working labs designed to prepare, process, and microscopically analyse microplastics in sediment. All four labs are subject to microfibre contamination; however, following the addition of alternative clean-air devices (microscope enclosure and HEPA air purifiers), contamination decreased by 66% in laboratory B, and 70% in laboratory C. A review of microplastic studies suggests that 82% are not including or reporting alternative clean-air devices in their QA/QC approaches. These studies are found to be at greater risk of secondary contamination, as 72% of them ranked as medium to high contamination risk. It is imperative that laboratories incorporate matrix-specific QA/QC approaches to minimize false positives and improve transparency and harmonization across studies.
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This study developed a practical method for quantifying background microfiber contamination introduced during laboratory sample processing, arguing that clean-air devices and contamination controls are essential for reliable microplastic analysis. Without accounting for lab-introduced fibers, environmental contamination levels can be significantly overestimated.
How can contamination be prevented during laboratory analysis of atmospheric samples for microplastics?
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This study tested various laboratory practices to reduce contamination when measuring microplastics in air samples, finding that working under laminar flow reduced background contamination compared to fume hoods or open lab environments. Pre-treating filters by heating them to 450 degrees Celsius cut microplastic counts by 50%, and pre-filtering solutions was essential since working liquids themselves were contaminated. These quality control findings are critical because without proper contamination prevention, studies on airborne microplastics may significantly overcount or misidentify particles.
Contamination issues as a challenge in quality control and quality assurance in microplastics analytics
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This review evaluated contamination control practices in 50 microplastic research studies and found that most only followed about 4 out of 10 recommended quality control measures. Since microplastics are present everywhere including indoor air, inadequate precautions can lead to sample contamination and overestimation of environmental concentrations. The study proposes seven specific measures to improve result quality and reliability in future microplastic sampling and analysis.
How to Control the Airborne Contamination in Laboratory Analyses of Microplastics?
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Researchers investigated airborne fiber contamination in microplastic laboratory analyses and developed an Airborne Contamination Control Protocol (ACC Protocol), finding that microfibers can be significantly overestimated in fish gastrointestinal tracts and surface water samples without proper contamination controls.
Assessment of quality control measures in the monitoring of microplastic: a critical review
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Researchers conducted a critical review of quality control measures used in microplastic monitoring studies, evaluating eight key quality control parameters across 30 published studies. The review found that strict quality control protocols are essential for accurate microplastic detection, as small-sized particles and microfibers can easily be introduced as contaminants from ambient air, sampling equipment, and laboratory environments during the monitoring process.
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