Evidence map›Paper›PMID 31292868›Full record

ArticleEnvironmental science and pollution research international2019

Bacterial cellulose/phytochemical's extracts biocomposites for potential active wound dressings.

Nahla A El-Wakil, Enas A Hassan, Mohammad L Hassan, Soheir S Abd El-Salam

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Article in Environmental science and pollution research international, 2019. 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
1.3field-weighted citation impact, top 23% 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

6 citing papers in PubMed, 36 citations in OpenAlex.

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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 2 institutions in 1 country.

Nahla A El-WakilCellulose and Paper Department, National Research Centre, 33 Bohouthst., Dokki, Giza, 12622, Egypt.
Enas A HassanCellulose and Paper Department, National Research Centre, 33 Bohouthst., Dokki, Giza, 12622, Egypt. enasali69@yahoo.com.
Mohammad L HassanCellulose and Paper Department, National Research Centre, 33 Bohouthst., Dokki, Giza, 12622, Egypt.
Soheir S Abd El-SalamMicrobology Department, Banha University, Banha, Egypt.
National Research Centre · EGBenha University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study describes the impregnation of coffee extract (CE) into bacterial cellulose synthesized from kombucha tea fungus (KBC) of different cellulose content, incubated for different incubation periods (2, 4, and 10 days), to prepare biocomposites having the potential for wound healing applications. Total polyphenols in hydroalcoholic extracts from ground roasted coffee and its release from the prepared biocomposites were determined as gallic acid equivalent. The polyphenols content was found to be 13.66 mg/g and the minimum inhibitory concentration (MIC) of the CE was determined using colony-forming unit (CFU) method against Gram-negative bacteria Escherichia coli and Gram-positive bacteria Staphylococcus aureus where the growth inhibition was 86 and 97% respectively. Biocomposites (KBC/CE) with the lowest cellulose and CE content showed the highest wet tensile stress (3.35 MPa), absorption of pseudo extracellular fluid (154.32% ± 4.84), and water vapor transmission rate (3184.94 ± 198.07 g/m

Indexed as

Anti-Bacterial AgentsBandagesCelluloseCoffeeGram-Negative BacteriaGram-Positive BacteriaKombucha TeaMicrobial Sensitivity TestsPhytochemicalsPlant ExtractsPolyphenolsWound HealingAnti-Bacterial AgentsCelluloseCoffeeKombucha TeaPhytochemicalsPlant ExtractsPolyphenolsBacterial celluloseCoffee extractsKombucha teaPhenolic compoundsWound dressings

Identifiers

PMID31292868
OpenAlexW2961231616

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.