Liquid Interfacial Coassembly of Plasmonic Arrays and Trace Hydrophobic Nanoplastics in Edible Oils for Robust Identification and Classification by Surface-Enhanced Raman Spectroscopy.

J Agric Food Chem

China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, P. R. China.

Published: October 2023

AI Article Synopsis

  • Micro-/nanoplastics are a significant environmental threat, impacting ecosystems, aquatic life, and human health, necessitating urgent detection methods.
  • The researchers developed a technique using surface-enhanced Raman spectroscopy to create a uniform array of nanoplastics and gold nanoparticles for sensitive detection in complex environments.
  • By employing principal component analysis, they successfully identified different types of nanoplastics and common pollutants in both water and edible oils, indicating potential applications for environmental and food safety monitoring.

Article Abstract

The ubiquity of micro-/nanoplastics poses a visible threat to the environment, aquatic organisms, and human beings and has become a global concern. Here, we proposed a liquid interface-based strategy using surface-enhanced Raman spectroscopy to coassemble nanoplastics and gold nanoparticles into a dense and homogeneous plasmonic array, thereby enabling the rapid and sensitive detection of trace nanoplastics. In addition, due to the uniqueness of the oil-water immiscible two-phase interface, we achieved ideal results for the detection of nanoplastics in a complex matrix (e.g., aqueous environment and edible oil) with a detection limit of μg/mL. With the aid of the principal component analysis algorithm, the differentiation and identification of multiple nanoplastic components (e.g., polystyrene, polyethylene, and polyethylene terephthalate) in aqueous environments and common hazards (e.g., Bap and Phe) in edible oil were achieved. Therefore, our self-assembled plasmonic arrays are expected to be used for monitoring environmental pollution and food safety.

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Source
http://dx.doi.org/10.1021/acs.jafc.3c03860DOI Listing

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