Evidence map›Paper›PMID 41057636›Full record

ArticleScientific reports2025

Aluminum-derived nanotubes for lung cancer detection: a DFT inquisition.

Aoly Ur Rahman, D M Saaduzzaman, Syed Mahedi Hasan, Muzzakkir Amin, Md Kabir Uddin Sikder

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. g-CRSC advances · 2026
    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

5 authors.

Aoly Ur RahmanDepartment of Nanomaterials and Ceramic Engineering, Bangladesh University of Engineering & Technology, Dhaka, Bangladesh. aolyurrahman@gmail.com.
D M SaaduzzamanDepartment of Materials Science and Engineering, Rensselaer Polytechnic Institute, Troy, New York, USA.
Syed Mahedi HasanDepartment of Physics, Florida Institute of Technology, Melbourne, Florida, USA.
Muzzakkir AminDepartment of Materials and Bio Materials Science and Engineering, University of California, Merced, USA.
Md Kabir Uddin SikderDepartment of Physics, Jahangirnagar University, Savar, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is one of the most pernicious health concerns and leading cause of mortality which is attributed to about two million deaths and four million new cases reported annually all over the world. So, a facile, quick, and non-invasive method of early detection of lung cancer is very crucial. Owing to the success of gas-sensing technology, this work proposed a novel work of developing sensors to diagnose lung cancer by analyzing the adsorption mechanism of three common volatile organic compound biomarkers- acetaldehyde, aniline, and isoprene on two Aluminum-derived nanotubes- Aluminum nitride (AlN) and Aluminum phosphide (AlP) via quantum mechanical approach DFT method. The adsorption energy confirms all the biomarkers will successfully adsorb on the AlNNT and AlPNT with an exothermic chemical reaction as well as AlNNT exhibits 26.30 ~ 29.66% more adsorption intensity than AlPNT for the corresponding biomarker. The absence of imaginary frequency in the IR spectrum for pristine and complex nanotubes confirms that the geometries belong to true energy minima and tend to form naturally. Also, the analyses of different electrical and thermodynamical properties strongly support the favor of AlNNT as sensory material. Based on the light of all factors, AlNNT could be a potential candidate for developing biosensors to diagnose lung cancer in its early stages.

Indexed as

AluminumAluminum CompoundsLung NeoplasmsNanotubesAdsorptionBiosensing TechniquesDensity Functional TheoryHumansVolatile Organic CompoundsAluminumAluminum Compoundsaluminum nitrideVolatile Organic CompoundsBiosensorDFTEarly detection of cancerGroup III-V nanotubesLung cancer

Identifiers

PMID41057636
PMCPMC12504753

What Socratic holds

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Registered trials

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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 Socratic graph.