Evidence map›Paper›PMID 33123761›Full record

ArticleAnalytical and bioanalytical chemistry2021

Methanol-based extraction protocol for insoluble and moderately water-soluble nanoparticles in plants to enable characterization by single particle ICP-MS.

Stephanie Laughton, Adam Laycock, Garret Bland, Frank von der Kammer, Thilo Hofmann, Elizabeth A Casman, Gregory V Lowry

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 27 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Stephanie LaughtonDepartment of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
Adam LaycockDepartment of Environmental Geosciences, University of Vienna, 1090, Vienna, Austria.
Garret BlandDepartment of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
Frank von der KammerDepartment of Environmental Geosciences, University of Vienna, 1090, Vienna, Austria.
Thilo HofmannDepartment of Environmental Geosciences, University of Vienna, 1090, Vienna, Austria.
Elizabeth A CasmanCenter for Environmental Implications of NanoTechnology (CEINT), Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
Gregory V LowryDepartment of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA. glowry@cmu.edu.
Carnegie Mellon University · USUniversity of Vienna · AT

Funding

Center for the Environmental Implications of NanoTechnology NSF EF-1266252NanoFARM NSF CBET-1530563NSF Integrated Graduate Education and Research Traineeship Nanotechnology Environmental Effects and Policy NSF DGE-0966227
6 · The paper itself

Abstract

The detection and characterization of soluble metal nanoparticles in plant tissues are an analytical challenge, though a scientific necessity for regulating nano-enabled agrichemicals. The efficacy of two extraction methods to prepare plant samples for analysis by single particle ICP-MS, an analytical method enabling both size determination and quantification of nanoparticles (NP), was assessed. A standard enzyme-based extraction was compared to a newly developed methanol-based approach. Au, CuO, and ZnO NPs were extracted from three different plant leaf materials (lettuce, corn, and kale) selected for their agricultural relevance and differing characteristics. The enzyme-based approach was found to be unsuitable because of changes in the recovered NP size distribution of CuO NP. The MeOH-based extraction allowed reproducible extraction of the particle size distribution (PSD) without major alteration caused by the extraction. The type of leaf tissue did not significantly affect the recovered PSD. Total metal losses during the extraction process were largely due to the filtration step prior to analysis by spICP-MS, though this did not significantly affect PSD recovery. The methanol extraction worked with the three different NPs and plants tested and is suitable for studying the fate of labile metal-based nano-enabled agrichemicals.

Indexed as

CopperGoldMass SpectrometryMetal NanoparticlesMethanolNanomedicineNanoparticlesParticle SizePlant LeavesPlantsReproducibility of ResultsSolubilityTitaniumWaterZinc OxideCoppercupric oxideGoldMethanolTitaniumWaterZinc OxideAgrichemical characterizationMetallic nanoparticle characterizationSingle particle ICP-MS

Identifiers

PMID33123761
OpenAlexW3095718024

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.