Evidence map›Paper›PMID 35694527›Full record

ArticleACS omega2022

Ultrasensitive Detection of MCF-7 Cells with a Carbon Nanotube-Based Optoelectronic-Pulse Sensor Framework.

Sophia S Y Chan, Denise Lee, Maria Prisca Meivita, Lunna Li, Yaw Sing Tan, Natasa Bajalovic, Desmond K Loke

Abstract read
In one paragraph

Article in ACS omega, 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
–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

3 citing papers in PubMed.

  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

7 authors.

Sophia S Y ChanDepartment of Science, Mathematics and Technology, Singapore University of Technology and Design, Singapore487372, Singapore.ORCID https://orcid.org/0000-0001-6710-0469
Denise LeeDepartment of Science, Mathematics and Technology, Singapore University of Technology and Design, Singapore487372, Singapore.ORCID https://orcid.org/0000-0001-5338-275X
Maria Prisca MeivitaDepartment of Science, Mathematics and Technology, Singapore University of Technology and Design, Singapore487372, Singapore.ORCID https://orcid.org/0000-0003-1518-0772
Lunna LiDepartment of Science, Mathematics and Technology, Singapore University of Technology and Design, Singapore487372, Singapore.
Yaw Sing TanBioinformatics Institute, Agency for Science, Technology and Research (ASTAR), Singapore138671, Singapore.ORCID https://orcid.org/0000-0002-2522-9421
Natasa BajalovicDepartment of Science, Mathematics and Technology, Singapore University of Technology and Design, Singapore487372, Singapore.
Desmond K LokeDepartment of Science, Mathematics and Technology, Singapore University of Technology and Design, Singapore487372, Singapore.ORCID https://orcid.org/0000-0001-5799-6441

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biosensors are of vital significance for healthcare by supporting the management of infectious diseases for preventing pandemics and the diagnosis of life-threatening conditions such as cancer. However, the advancement of the field can be limited by low sensing accuracy. Here, we altered the bioelectrical signatures of the cells using carbon nanotubes (CNTs) via structural loosening effects. Using an alternating current (AC) pulse under light irradiation, we developed a photo-assisted AC pulse sensor based on CNTs to differentiate between healthy breast epithelial cells (MCF-10A) and luminal breast cancer cells (MCF-7) within a heterogeneous cell population. We observed a previously undemonstrated increase in current contrast for MCF-7 cells with CNTs compared to MCF-10A cells with CNTs under light exposure. Moreover, we obtained a detection limit of ∼1.5 × 10

Identifiers

PMID35694527
PMCPMC9178712

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.