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Finding the tiny plastic needle in the haystack: how field flow fractionation can help to analyze nanoplastics in food
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This review assessed field flow fractionation (FFF) as an analytical method for detecting and characterizing nanoplastics in food, noting that conventional techniques lack the resolution to identify nano-sized plastic particles in complex food matrices. FFF was identified as a promising tool for generating the exposure data needed for nanoplastic risk assessment.
While the exact health risks associated with nanoplastics are currently the focus of intense research, there is no doubt that humans are exposed to nanoplastics and that food could be a major source of exposure. Nanoplastics are released from plastic materials and articles used during food production, processing, storage, preparation, and serving. They are also likely to enter the food chain via contaminated water, air, and soil. However, very limited exposure data for risk assessment exists so far due to the lack of suitable analytical methods. Nanoplastic detection in food poses a great analytical challenge due to the complexity of plastics and food matrices as well as the small size and expectedly low concentration of the plastic particles. Multidetector field flow fractionation has emerged as a valuable analytical technique for nanoparticle separation over the last decades, and the first studies using the technique for analyzing nanoplastics in complex matrices are emerging. In combination with online detectors and offline analysis, multidetector field flow fractionation is a powerful platform for advanced characterization of nanoplastics in food by reducing sample complexity, which otherwise hampers the full potential of most analytical techniques. The focus of this article is to present the current state of the art of multidetector field flow fractionation for nanoplastic analysis and to discuss future trends and needs aiming at the analysis of nanoplastics in food.
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Online Coupling of Field-Flow Fractionation with Raman Microspectroscopy Enables the Advanced Study of Nanoplastics Directly in Food
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Researchers developed an online coupling of field-flow fractionation with Raman microspectroscopy to enable direct detection and characterisation of nanoplastics in complex food matrices, overcoming limitations of existing methods that require laborious sample preparation.
Detection of nanoplastics in food by asymmetric flow field-flow fractionation coupled to multi-angle light scattering: possibilities, challenges and analytical limitations
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Researchers tested whether asymmetric flow field-flow fractionation coupled to light-scattering detection could identify nanoplastics in fish tissue, successfully detecting 100 nm polystyrene particles at a limit of 52 µg/g after enzymatic digestion, but found the method could not be directly transferred to polyethylene particles without further adjustment.
Micro- and nanoplastics: Contamination routes of food products and critical interpretation of detection strategies
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This review evaluates current methods for detecting micro and nanoplastics in food and beverages, from sample preparation to chemical identification. The authors highlight significant challenges including detection sensitivity limits, interference from food matrices, and a lack of standardized protocols. Better analytical tools are needed to accurately assess how much microplastic contamination people are actually consuming.
Assessing microplastics and nanoplastics in food
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This review assessed analytical methods for measuring micro- and nanoplastics in food, covering current detection limits, sample preparation challenges, and regulatory gaps. The authors found that while microplastics are detectable in diverse food products, nanoplastic analysis remains technically demanding and that harmonized methods for food matrices are urgently needed to support risk assessment.
Matrix Overloading Effects on Size-Resolved Quantification of Low-Concentration Nanoplastics in Complex Environmental Matrices Using Asymmetric Flow Field-Flow Fractionation
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Researchers developed a size-resolved method for quantifying nanoplastics in the 20-200 nm range in environmental water samples using asymmetric flow field-flow fractionation. The study identified important analytical artifacts from matrix overloading effects that can occur when measuring low-concentration nanoplastics in complex environmental samples, providing guidance for more accurate quantification methods.
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