Evidence map›Paper›PMID 33765215›Full record

ArticleJournal of molecular modeling2021

Adsorption of adipic acid in Al/B-N/P nanocages: DFT investigations.

Jamelah S Al-Otaibi, Y Sheena Mary, Y Shyma Mary, Goncagül Serdaroglu

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.7field-weighted citation impact, top 6% of its field
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

5 citing papers in PubMed, 54 citations in OpenAlex.

  1. Article
  2. Article
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  4. Article
  5. DFT analysis of valproic acid adsorption onto AlJournal of molecular modeling · 2022
    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

4 authors at 3 institutions in 3 countries.

Jamelah S Al-OtaibiDepartment of Chemistry, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.
Y Sheena MaryThushara, Neethinagar-64, Kollam, Kerala, India. marysheena2018@rediffmail.com.ORCID http://orcid.org/0000-0002-9082-3670
Y Shyma MaryThushara, Neethinagar-64, Kollam, Kerala, India.
Goncagül SerdarogluFaculty of Education, Math. and Sci. Edu., Sivas Cumhuriyet University, 58140, Sivas, Turkey.
University of Kerala · INPrincess Nourah bint Abdulrahman University · SASivas Cumhuriyet Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug delivery clusters based on nanocages recently have been the most capable to study. Adipic acid (ADPA) interaction mechanism over nanocages of X(Al/B)12Y(N/P)12 was investigated. We analyzed various electronic, chemical, and spectroscopic properties with nanocages of the adsorbed ADPA molecule. Adsorption energies were calculated to study the adsorption of ADPA with nanocages. Raman enhanced surface scattering is used to track the drug as an effective approach to vibrational spectroscopy. Detection of the drug has been investigated using the SERS properties of nanocages. Title drug acts as a donor of electrons and adsorbs at the electrophilic site of nanocages. Variations in chemical descriptors to recognize the sensing property of ADPA-nanocages are also noted. Analysis of various properties explains enhancement which makes it possible to detect the drug in other products. • Interaction of adipic acid with fullerene-like metal nanocages • Enhancement of spectral properties • Changes in charge transfer values in nanocage-drug system • Docking studies identify the drug delivery property.

Indexed as

Density Functional TheoryAdipatesAdsorptionComputational ChemistryNanostructuresAdipatesadipic acidAdipic acidDFTDockingNanocagesSERS

Identifiers

PMID33765215
OpenAlexW3133918481

What OpenQuestion holds

Textmetadata
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.