Evidence map›Paper›PMID 40212699›Full record

ArticleSmall science2024

Emerging Multifunctional Carbon-Nanomaterial-Based Biosensors for Cancer Diagnosis.

Jolitta S J Britto, Xinwei Guan, Thi Kim Anh Tran, Zhihao Lei, Rohan Bahadur, Vaishwik Patel, Xiangwei Zhang, Sharon L Wong, Ajayan Vinu

Abstract read
In one paragraph

Article in Small science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. 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

9 authors.

Jolitta S J BrittoGlobal Innovative Centre for Advanced Nanomaterials (GICAN) College of Engineering, Science and Environment (CESE) The University of Newcastle Callaghan NSW 2308 Australia.
Xinwei GuanGlobal Innovative Centre for Advanced Nanomaterials (GICAN) College of Engineering, Science and Environment (CESE) The University of Newcastle Callaghan NSW 2308 Australia.
Thi Kim Anh TranGlobal Innovative Centre for Advanced Nanomaterials (GICAN) College of Engineering, Science and Environment (CESE) The University of Newcastle Callaghan NSW 2308 Australia.
Zhihao LeiGlobal Innovative Centre for Advanced Nanomaterials (GICAN) College of Engineering, Science and Environment (CESE) The University of Newcastle Callaghan NSW 2308 Australia.
Rohan BahadurGlobal Innovative Centre for Advanced Nanomaterials (GICAN) College of Engineering, Science and Environment (CESE) The University of Newcastle Callaghan NSW 2308 Australia.
Vaishwik PatelGlobal Innovative Centre for Advanced Nanomaterials (GICAN) College of Engineering, Science and Environment (CESE) The University of Newcastle Callaghan NSW 2308 Australia.
Xiangwei ZhangGlobal Innovative Centre for Advanced Nanomaterials (GICAN) College of Engineering, Science and Environment (CESE) The University of Newcastle Callaghan NSW 2308 Australia.
Sharon L WongGlobal Innovative Centre for Advanced Nanomaterials (GICAN) College of Engineering, Science and Environment (CESE) The University of Newcastle Callaghan NSW 2308 Australia.
Ajayan VinuGlobal Innovative Centre for Advanced Nanomaterials (GICAN) College of Engineering, Science and Environment (CESE) The University of Newcastle Callaghan NSW 2308 Australia.ORCID 0000-0002-7508-251X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite significant advancements in medical technology, cancer remains the world's second-leading cause of death, largely attributed to late-stage diagnoses. While traditional cancer detection methodologies offer foundational insights, they often lack the specificity, affordability, and sensitivity for early-stage identification. In this context, the development of biosensors offers a distinct possibility for the precise and rapid identification of cancer biomarkers. Carbon nanomaterials, including graphene, carbon nitride, carbon quantum dots, and other carbon-based nanostructures, are highly promising for cancer detection. Their simplicity, high sensitivity, and cost-effectiveness contribute to their potential in this field. This review aims to elucidate the potential of emerging carbon-nanomaterial-based biosensors for early cancer diagnosis. The relevance of the various biosensor mechanisms and their performance to the physicochemical properties of carbon nanomaterials is discussed in depth, focusing on demonstrating broad methodologies for creating performance biosensors. Diverse carbon-nanomaterial-based detection techniques, such as electrochemical, fluorescence, surface plasmon resonance, electrochemiluminescence, and quartz crystal microbalance, are emphasized for early cancer detection. At last, a summary of existing challenges and future outlook in this promising field is elaborated.

Indexed as

biomarkersbiosensorscancer diagnosiscarbon nanomaterialsdetection

Identifiers

PMID40212699
PMCPMC11935140

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.