Evidence map›Paper›PMID 38232412›Full record

ArticleUltrasonics sonochemistry2024

Ultrasound assisted extraction and liposome encapsulation of olive leaves and orange peels: How to transform biomass waste into valuable resources with antimicrobial activity.

Giuliana Prevete, Loïc G Carvalho, Maria Del Carmen Razola-Diaz, Vito Verardo, Giovanna Mancini, Alberto Fiore, Marco Mazzonna

Open access · goldAbstract read
In one paragraph

Article in Ultrasonics sonochemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

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  15. Encapsulation ofACS applied materials & interfaces · 2024
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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

7 authors at 4 institutions in 3 countries.

Giuliana PreveteDepartment of Chemistry and Technologies of Drug, Sapienza University of Rome, P.le Aldo Moro, 5, 00185 Rome, Italy; CNR-Institute for Biological Systems (ISB), Area della Ricerca di Roma 1, Via Salaria Km 29,300, 00015 Monterotondo, Italy. Electronic address: giuliana.prevete@uniroma1.it.
Loïc G CarvalhoSchool of Applied Science, Division of Engineering and Food Science University of Abertay, Bell Street, DD1 1HG Dundee, Scotland, UK. Electronic address: loic_decarvalho@biomara.tech.
Maria Del Carmen Razola-DiazDepartment of Nutrition and Food Science, University of Granada, Campus of Cartuja s/n, 18071 Granada, Spain; Institute of Nutrition and Food Technology 'José Mataix', Biomedical Research Centre, University of Granada, Avda. del Conocimiento s/n., 18100 Armilla, Granada, Spain. Electronic address: carmenrazola@ugr.es.
Vito VerardoDepartment of Nutrition and Food Science, University of Granada, Campus of Cartuja s/n, 18071 Granada, Spain; Institute of Nutrition and Food Technology 'José Mataix', Biomedical Research Centre, University of Granada, Avda. del Conocimiento s/n., 18100 Armilla, Granada, Spain. Electronic address: vitoverardo@ugr.es.
Giovanna ManciniCNR-Institute for Biological Systems (ISB), Area della Ricerca di Roma 1, Via Salaria Km 29,300, 00015 Monterotondo, Italy. Electronic address: giovanna.mancini@cnr.it.
Alberto FioreSchool of Applied Science, Division of Engineering and Food Science University of Abertay, Bell Street, DD1 1HG Dundee, Scotland, UK. Electronic address: a.fiore@abertay.ac.uk.
Marco MazzonnaCNR-Institute for Biological Systems (ISB), Area della Ricerca di Roma 1, Via Salaria Km 29,300, 00015 Monterotondo, Italy. Electronic address: marco.mazzonna@cnr.it.
Abertay University · GBInstitute of Structure of Matter · ITUniversidad de Granada · ESIstituto di Metodologie Chimiche · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Every year million tons of by-products and waste from olive and orange processing are produced by agri-food industries, thus triggering environmental and economic problems worldwide. From the perspective of a circular economy model, olive leaves and orange peels can be valorized in valuable products due to the presence of bioactive compounds such as polyphenols exhibiting beneficial effects on human health. The aqueous extracts of olive leaves and orange peels rich in phenolic compounds were prepared by ultrasound-assisted extraction. Both extracts were characterized in terms of yield of extraction, total phenolic content and antioxidant capacity; the polyphenolic profiles were deeper investigated by HPLC-MS analysis. Each extract was included in liposomes composed by a natural phospholipid, 1,2-dioleoyl-sn-glycero-3-phosphocholine,and cholesterol prepared according to the thin-layer evaporation method coupled with a sonication process. The antimicrobial activity of the extracts, free and loaded in liposomes, was investigated according to the broth macrodilution method against different strains of potential bacterial pathogenic species: Staphylococcus aureus (NCIMB 9518), Bacillus subtilis (ATCC 6051) and Enterococcus faecalis (NCIMB 775) as Gram-positive, while Escherichia coli (NCIMB 13302), Pseudomonas aeruginosa (NCIMB 9904) and Klebsiella oxytoca (NCIMB 12259) as Gram-negative. The encapsulation of olive leaves extract in liposomes enhanced its antibacterial activity against S. aureus by an order of magnitude.

Indexed as

Citrus sinensisOleaAnti-Bacterial AgentsBiomassHumansLiposomesPhenolsPlant ExtractsStaphylococcus aureusAnti-Bacterial AgentsLiposomesPhenolsPlant ExtractsAntibacterial activityLiposomesOlive leaves extractOrange peels extractPolyphenolsUltrasound assisted extraction

Identifiers

PMID38232412
PMCPMC10827538
OpenAlexW4390790063

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.