AI Article Synopsis

  • A systematic review found a focus on only a few engineered nanomaterials (like silver and titanium dioxide) in biological samples, with significant gaps in research for important tissues.
  • The study emphasizes the critical role of sample storage and the need for specific extraction protocols tailored to the type of engineered nanomaterial and biological matrix, rather than a one-size-fits-all approach.
  • It highlights the inconsistency in reported metrics across studies and suggests the establishment of standardized protocols, including certified reference materials and international agreements, to improve comparison and regulatory use.

Article Abstract

A systematic review of the use of single particle ICP-MS to analyse engineered nanomaterials (ENMs) in biological samples (plants, animals, body fluids) has highlighted that efforts have focused on a select few types of ENMs (, Ag and TiO) and there is a lack of information for some important tissues (, reproductive organs, skin and fatty endocrine organs). The importance of sample storage is often overlooked but plays a critical role. Careful consideration of the ENM and matrix composition is required to select an appropriate protocol to liberate ENMs from a tissue whilst not promoting the transformation of them, or genesis of new particulates. A 'one size fits all' protocol, applicable to all possible types of ENM and biological matrices, does not seem practical. However, alkaline-based extractions would appear to show greater promise for wide applicability to animal tissues, although enzymatic approaches have a role, especially for plant tissues. There is a lack of consistency in metrics reported and how they are determined ( size limit of detection, and proportions of recovery), making comparison between some studies more difficult. In order to establish standardised protocols for regulatory use, effort is needed to: develop certified reference materials, achieve international agree on nomenclature and the use of control samples, and to create a decision tree to help select the best sample preparation for the type of tissue matrix.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8852815PMC
http://dx.doi.org/10.1039/d1en00680kDOI Listing

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