Evidence map›Paper›PMID 35527799›Full record

ReviewTrends in analytical chemistry : TRAC2022

Engineering carbon nanotubes for sensitive viral detection.

Muhammad Ovais, Min You, Jalal Ahmad, Ridha Djellabi, Arbab Ali, Mahmood Hassan Akhtar, Manzar Abbas, Chunying Chen

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Trends in analytical chemistry : TRAC, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-weighted citation impact, top 8% 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

3 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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

8 authors at 6 institutions in 4 countries.

Muhammad OvaisCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, PR China.
Min YouCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, PR China.
Jalal AhmadDepartment of Chemistry, Tsinghua University, Beijing, 100084, PR China.
Ridha DjellabiUniversità degli Studi di Milano, Dipartimento di Chimica, Via Gogi 19, 20133, Milano, Italy.
Arbab AliCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, PR China.
Mahmood Hassan AkhtarDepartment of Chemistry, School of Applied Sciences and Humanities, National University of Technology, Islamabad, 42000, Pakistan.
Manzar AbbasInstitute for Molecules and Materials, Radboud University Nijmegen Heyendaalseweg 135, 6525, AJ Nijmegen, the Netherlands.
Chunying ChenCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing, 100190, PR China.
National Center for Nanoscience and Technology · CNNational Engineering Research Center for Nanotechnology · CNNational University of Technology · PKRadboud University Nijmegen · NLTsinghua University · CNUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viral infections have been proven a severe threat to human beings, and the pandemic of Coronavirus Disease 2019 (COVID-19) has become a societal health concern, including mental distress and morbidity. Therefore, the early diagnosis and differentiation of viral infections are the prerequisite for curbing the local and global spread of viruses. To this end, carbon nanotubes (CNTs) based virus detection strategies are developed that provide feasible alternatives to conventional diagnostic techniques. Here in this review, an overview of the design and engineering of CNTs-based sensors for virus detection is summarized, followed by the nano-bio interactions used in developing biosensors. Then, we classify the viral sensors into covalently engineered CNTs, non-covalently engineered CNTs, and size-tunable CNTs arrays for viral detection, based on the type of CNTs-based nano-bio interfaces. Finally, the current challenges and prospects of CNTs-based sensors for virus detection are discussed.

Indexed as

Carbon nanotubes engineeringCNTs-based sensorsCOVID-19Nano-bio interactionsVirus detection

Identifiers

PMID35527799
PMCPMC9054723
OpenAlexW4225138624

What OpenQuestion holds

Textmetadata
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.