Evidence map›Paper›PMID 39962159›Full record

ArticleScientific reports2025

Design and implementation of PLA/GO/metal oxide composites for CO

Khaled S Amin, Mohamed M Yassin, Yahia M Abdallah, Yusuf M Alsayyad, Ahmed F Mabied, Hanan Elhaes, Medhat A Ibrahim

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Application of Cs/GO/TiOScientific reports · 2025
    Article
  6. 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

7 authors.

Khaled S AminPhysics Department, Faculty of Science, Al-Azhar University, Cairo, Egypt.
Mohamed M YassinPhysics Department, Faculty of Science, Al-Azhar University, Cairo, Egypt.
Yahia M AbdallahPhysics Department, Faculty of Science, Al-Azhar University, Cairo, Egypt.
Yusuf M AlsayyadPhysics Department, Faculty of Science, Al-Azhar University, Cairo, Egypt.
Ahmed F MabiedX-ray Crystallography lab, Solid State Physics Department, National Research Center, 33 Bohouth Street, Dokki, 12622, Cairo, Egypt.
Hanan ElhaesPhysics Department, Faculty of Women for Arts, Science and Education, Ain Shams University, Cairo, 11757, Egypt.
Medhat A IbrahimSpectroscopy Department, National Research Centre, 33 El-Bohouth St., Dokki, 12622, Giza, Egypt. ma.khalek@nrc.sci.eg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the modification of polylactic acid (PLA) by the incorporation of graphene oxide (GO) and metal oxides (ZnO and CuO), with the aim of developing efficient CO₂ sensors. Key properties, including total dipole moment (TDM), energy gap (ΔE), molecular electrostatic potential (MESP), and density of states (DOS), were calculated using density functional theory (DFT) to gain insight into the interactions between the composites and CO₂ gas. Experimental techniques such as X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), and optical confocal microscopy were used to validate the material composition and bonding mechanisms. The analysis revealed the presence of SiO₂ impurities in the PLA matrix, which could potentially affect the sensing behavior of the composite. The composites demonstrated effective CO₂ sensing capabilities in experimental tests. This combined theoretical and experimental approach demonstrates that PLA/GO/metal oxide composites offer significant potential for sustainable CO₂ sensing, contributing to air quality monitoring and greenhouse gas regulation.

Indexed as

CO2 sensorGas sensorGONanocompositePLA

Identifiers

PMID39962159
PMCPMC11832736

What OpenQuestion holds

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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.