Application of Single Particle ICP-MS for the Determination of Inorganic Nanoparticles in Food Additives and Food: A Short Review

Katrin Loeschner*, Monique E. Johnson, Antonio R. Montoro Bustos

*Corresponding author for this work

Research output: Contribution to journalReviewpeer-review

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Abstract

Due to enhanced properties at the nanoscale, nanomaterials (NMs) have been incorporated into foods, food additives, and food packaging materials. Knowledge gaps related to (but not limited to) fate, transport, bioaccumulation, and toxicity of nanomaterials have led to an expedient need to expand research efforts in the food research field. While classical techniques can provide information on dilute suspensions, these techniques sample a low throughput of nanoparticles (NPs) in the suspension and are limited in the range of the measurement metrics so orthogonal techniques must be used in tandem to fill in measurement gaps. New and innovative characterization techniques have been developed and optimized for employment in food nano-characterization. Single particle inductively coupled plasma mass spectrometry, a high-throughput nanoparticle characterization technique capable of providing vital measurands of NP-containing samples such as size distribution, number concentration, and NP evolution has been employed as a characterization technique in food research since its inception. Here, we offer a short, critical review highlighting existing studies that employ spICP-MS in food research with a particular focus on method validation and trends in sample preparation and spICP-MS methodology. Importantly, we identify and address areas in research as well as offer insights into yet to be addressed knowledge gaps in methodology.
Original languageEnglish
Article number2547
JournalNanomaterials
Volume13
Issue number18
Number of pages51
ISSN2079-4991
DOIs
Publication statusPublished - 2023

Keywords

  • Inorganic nanoparticles
  • Single particle ICP-MS
  • Food
  • Food additives
  • Sample collection
  • Sample preparation
  • Method validation

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