| Literature DB >> 29874866 |
Damjana Drobne1, Sara Novak2, Iva Talaber3, Iseult Lynch4, Anita Jemec Kokalj5.
Abstract
We analyzed the performance and throughput of currently available analytical techniques for quantifying body burden and cell internalization/distribution of silver nanoparticles (Ag NPs). Our review of Ag NP biological fate data shows that most of the evidence gathered for Ag NPs body burden actually points to total Ag and not only Ag NPs. On the other hand, Ag NPs were found inside the cells and tissues of some organisms, but comprehensive explanation of the mechanism(s) of NP entry and/or in situ formation is usually lacking. In many cases, the methods used to detect NPs inside the cells could not discriminate between ions and particles. There is currently no single technique that would discriminate between the metals species, and at the same time enable localization and quantification of NPs down to the cellular level. This paper serves as an orientation towards selection of the appropriate method for studying the fate of Ag NPs in line with their properties and the specific question to be addressed in the study. Guidance is given for method selection for quantification of NP uptake, biodistribution, precise tissue and cell localization, bioaccumulation, food chain transfer and modeling studies regarding the optimum combination of methods and key factors to consider.Entities:
Keywords: bioaccumulation; biodistribution; body burden; internalization; microscopy; performance; quantification; silver nanoparticles review; spectroscopy; throughput
Year: 2018 PMID: 29874866 PMCID: PMC6025118 DOI: 10.3390/ma11060957
Source DB: PubMed Journal: Materials (Basel) ISSN: 1996-1944 Impact factor: 3.623
The description of techniques used for in vivo investigations of NPs’ biological fate. We present the basic characteristics of the techniques (Table 1A) in terms of their quantification and visualization properties (+ means the method can do this, - means the method does not provide this information). The throughput of methods is evaluated based on the time input for sample preparation, time input for data acquisition and processing and the accessibility of the methods (Table 1B).
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| Tracing Labelled NPs |
| XRF | SIMS |
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| DFOMS | |
| Quantification in decomposed tissue | + | + | + | - | - | + | + | - | - | - | - | |
| Power to quantify Ag NPs in the sample | - | + | - | - | + | - | - | - | - | - | - | - |
| Power to discriminate between Ag ions and NPs | - | + | - | - | + | - | + | - | - | - | + | - |
| Visualization on tissue slices | - | - | + | + | + | + | + | + | + | + | + | + |
| Visualization of Ag species at the tissue level | - | + | + | + | + | + | + | + | + | + | + | + |
| Visualization of Ag species at the subcellular level | - | - | + | - | + | + | + | + | + | + | - | - |
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| Tracing Labelled NPs |
| XRF | SIMS |
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| DFOMS | |
| Time input for sample preparation * | 1 | 1 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 3 | 0 | 0 |
| Time input for data acquisition; processing † | 0 | 0 | 0 | 2 | 3 | 3 | 3 | 1 | 1 | 1 | 2 | 2 |
| Difficulty to access ‡ | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 1 |
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| 1 | 1 | 3 | 5 | 6 | 6 | 6 | 4 | 4 | 4 | 3 | 3 |
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* Time input for sample preparation is categorized into low (grade 0), medium (grade 1), high (grade 2) and very high (grade 3) based on the number and difficulty of sample preparation steps, including: fixation, sectioning, polishing and/or coating, and acid digestion of biological sample. † Time input for data acquisition and/or processing: estimated as low (grade 0), medium (grade 1), high (grade 2) and very high (grade 3) based on the time needed to obtain the signal and time to process the signal. ‡ Difficulty to access: infrastructure dependent equipment was estimated as easy (grade 0) or difficult (grade 1). $ Final score is the sum of scores given to the first three categories. & Throughput was estimated based on the final score. Grades 1–2 are considered High, grades 3–4 Medium and 5–6 Low throughput.
Figure 1A decision scheme for selection of methods suitable for study of the biological fate of silver nanoparticles (Ag NPs) according to the specific research question.
Figure 2A diagram showing the distribution of Ag NPs studies for 63 different species using the techniques: AAS/ICP-MS, SP-ICP-MS; Radioactive labelling; TEM/TEM-EDX; XRF; DFOMS; XANES; XAS and SIMS. Organisms are grouped according to their taxonomic position. The number of studies is represented by radial scale numbered from 1–5 (each radius represents one study). Most of the studies were done on fish Danio rerio (total 8), crustacean Daphnia magna (6), and plants Triticum aestivum (6), Alfalfa Medicago sativa (4), Arabidopsis thaliana (4). The majority of species was tested only in one study.