Evidence map›Paper›PMID 27050152›Full record

ReviewEnvironmental science & technology2016

Quantification of Carbon Nanotubes in Environmental Matrices: Current Capabilities, Case Studies, and Future Prospects.

Elijah J Petersen, D Xanat Flores-Cervantes, Thomas D Bucheli, Lindsay C C Elliott, Jeffrey A Fagan, Alexander Gogos, Shannon Hanna, Ralf Kägi, Elisabeth Mansfield, Antonio R Montoro Bustos and 4 more

Abstract readReview
In one paragraph

Review in Environmental science & technology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
–field-weighted citation impact
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

32 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. RSC advances · 2022
    Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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

14 authors.

Elijah J PetersenMaterial Measurement Laboratory, National Institute of Standards and Technology , Gaithersburg, Maryland 20899, United States.
D Xanat Flores-CervantesEawag, Swiss Federal Institute of Aquatic Science and Technology , Überlandstrasse 133, CH-8600 Dübendorf, Switzerland.
Thomas D BucheliAgroscope, Institute of Sustainability Sciences ISS , 8046 Zurich, Switzerland.
Lindsay C C ElliottMaterial Measurement Laboratory, National Institute of Standards and Technology , Gaithersburg, Maryland 20899, United States.
Jeffrey A FaganMaterial Measurement Laboratory, National Institute of Standards and Technology , Gaithersburg, Maryland 20899, United States.
Alexander GogosEawag, Swiss Federal Institute of Aquatic Science and Technology , Überlandstrasse 133, CH-8600 Dübendorf, Switzerland.
Shannon HannaMaterial Measurement Laboratory, National Institute of Standards and Technology , Gaithersburg, Maryland 20899, United States.
Ralf KägiEawag, Swiss Federal Institute of Aquatic Science and Technology , Überlandstrasse 133, CH-8600 Dübendorf, Switzerland.
Elisabeth MansfieldMaterial Measurement Laboratory, National Institute of Standards and Technology , Gaithersburg, Maryland 20899, United States.
Antonio R Montoro BustosMaterial Measurement Laboratory, National Institute of Standards and Technology , Gaithersburg, Maryland 20899, United States.
Desiree L PlataDepartment of Chemical and Environmental Engineering, Yale University , New Haven, Connecticut 06520, United States.
Vytas ReipaMaterial Measurement Laboratory, National Institute of Standards and Technology , Gaithersburg, Maryland 20899, United States.
Paul WesterhoffSchool of Sustainable Engineering and The Built Environment, Arizona State University , Box 3005, Tempe, Arizona 85278-3005, United States.
Michael R WinchesterMaterial Measurement Laboratory, National Institute of Standards and Technology , Gaithersburg, Maryland 20899, United States.

Funding

Intramural NIST DOC 9999-NIST
6 · The paper itself

Abstract

Carbon nanotubes (CNTs) have numerous exciting potential applications and some that have reached commercialization. As such, quantitative measurements of CNTs in key environmental matrices (water, soil, sediment, and biological tissues) are needed to address concerns about their potential environmental and human health risks and to inform application development. However, standard methods for CNT quantification are not yet available. We systematically and critically review each component of the current methods for CNT quantification including CNT extraction approaches, potential biases, limits of detection, and potential for standardization. This review reveals that many of the techniques with the lowest detection limits require uncommon equipment or expertise, and thus, they are not frequently accessible. Additionally, changes to the CNTs (e.g., agglomeration) after environmental release and matrix effects can cause biases for many of the techniques, and biasing factors vary among the techniques. Five case studies are provided to illustrate how to use this information to inform responses to real-world scenarios such as monitoring potential CNT discharge into a river or ecotoxicity testing by a testing laboratory. Overall, substantial progress has been made in improving CNT quantification during the past ten years, but additional work is needed for standardization, development of extraction techniques from complex matrices, and multimethod comparisons of standard samples to reveal the comparability of techniques.

Indexed as

EnvironmentHumansLimit of DetectionNanotubes, CarbonNanotubes, Carbon

Identifiers

PMID27050152
PMCPMC4943226

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.