Evidence map›Paper›PMID 38002224›Full record

ArticleFoods (Basel, Switzerland)2023

Potential Use of PLA-Based Films Loaded with Antioxidant Agents from Spent Coffee Grounds for Preservation of Refrigerated Foods.

Margherita Pettinato, Maria Bolla, Roberta Campardelli, Giuseppe Firpo, Patrizia Perego

Open access · goldAbstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

5 authors at 1 institution in 1 country.

Margherita PettinatoDepartment of Civil, Chemical and Environmental Engineering, Polytechnic School, University of Genoa, Via All'Opera Pia 15, 16145 Genoa, Italy.ORCID 0000-0002-5316-7694
Maria BollaDepartment of Civil, Chemical and Environmental Engineering, Polytechnic School, University of Genoa, Via All'Opera Pia 15, 16145 Genoa, Italy.ORCID 0000-0003-3141-2406
Roberta CampardelliDepartment of Civil, Chemical and Environmental Engineering, Polytechnic School, University of Genoa, Via All'Opera Pia 15, 16145 Genoa, Italy.ORCID 0000-0001-5641-0613
Giuseppe FirpoDepartment of Physics, Nanomedicine Laboratory, University of Genoa, Via Dodecaneso 33, 16146 Genoa, Italy.ORCID 0000-0002-4028-6555
Patrizia PeregoDepartment of Civil, Chemical and Environmental Engineering, Polytechnic School, University of Genoa, Via All'Opera Pia 15, 16145 Genoa, Italy.ORCID 0000-0001-5904-2940
University of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this work concerned the production of an active food packaging suitable for refrigerated foods. Polylactic-acid-based films were produced by optimizing the solvent casting technique and testing different loadings of extracts obtained from spent coffee grounds. Indeed, an extract obtained by high-pressure and -temperature extraction (HPTE) and a further purified extract by liquid-liquid extraction (LLE) were separately used as active agents, and the effects on packaging features and active compounds migration were analyzed. The selected active agents showed antioxidant and lipid peroxidation inhibition effects on food simulants (peroxide values of 9.2 ÷ 12.0 meqO

Indexed as

active food packaginggas barrier propertieshigh-pressure and -temperature extractionlipid peroxidation inhibitionpolylactic acidspent coffee groundswaste valorization

Identifiers

PMID38002224
PMCPMC10670670
OpenAlexW4388752870

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.