Evidence map›Paper›PMID 42080993›Full record

ArticleDiscover nano2026

Novel dialdehyde fullerene-like carbon nanostructures from red garlic peels for naked-eye cyclohexane gas sensing and pH.

Hebat-Allah S Tohamy

Abstract read
In one paragraph

Article in Discover nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

1 author.

Hebat-Allah S TohamyCellulose and Paper Department, National Research Centre, 33 El Bohouth Str., P.O. 12622, Dokki, Giza, Egypt. hebasarhan89@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study introduces highly sensitive, functionalized dialdehyde fullerene-like carbon nanostructures (DAFs) as a versatile platform for chemical sensing. The DAFs were synthesized through an effective functionalization strategy, confirmed by Fourier-Transform Infrared Spectroscopy (FTIR), which introduced key dialdehyde groups necessary for multi-modal detection. Transmission Electron Microscopy (TEM) validated a critical morphological evolution from small carbon dots (CDs) to larger, fullerene-shaped DAFs, providing a new electronic and structural foundation for sensing. The DAFs demonstrate dual sensing capabilities for both pH and non-polar organic vapors, specifically explosive cyclohexane (LEL ≈ 13000 ppm). The DAFs sensor's Limit of Detection (LOD) of 137.34 ppm is strategically justified by this hazard, as it provides an early, high-reliability safety warning significantly below the 10% LEL industrial safety threshold of 1300 ppm. Density Functional Theory (DFT) calculations elucidated the mechanism of gas detection, confirming that the interaction with non-polar cyclohexane fundamentally alters the electronic structure of the DAFs, causing the dipole moment (µ) to increase significantly from 5.060 Debye to 8.203 Debye, which underlies the observed fluorescence enhancement. Experimentally, the DAFs function as an effective pH probe, exhibiting a distinctive "turn-on" fluorescence response at alkaline pH 12 due to the deprotonation of surface functional groups. Crucially, the material operates as a simple, naked-eye visual sensor for cyclohexane, quantified by a clear shift in CIE chromaticity coordinates from (0.193, 0.422) to (0.209, 0.473) upon gas exposure. This work provides a deep, integrated theoretical and experimental understanding of functionalized carbon nanostructures for industrial safety and general environmental applications.

Indexed as

Cyclohexane sensorDFT calculationsDialdehyde fullerenesFlammable cyclohexaneGarlic peelsGas sensorLimit of Detection (LOD)

Identifiers

PMID42080993
PMCPMC13139538

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.