Evidence map›Paper›PMID 39125143›Full record

ArticlePolymers2024

Sustainability in the Development of Natural Pigment-Based Colour Masterbatches and Their Application in Biopolymers.

Ana Ibáñez-García, Raquel Berbegal-Pina, Rosario Vidal, Asunción Martínez-García

Abstract read
In one paragraph

Article in Polymers, 2024. 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
–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

5 citing papers in PubMed.

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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.

Ana Ibáñez-GarcíaAIJU Technological Institute for Children's Products & Leisure, 03440 Ibi, Spain.ORCID 0000-0002-7160-4202
Raquel Berbegal-PinaAIJU Technological Institute for Children's Products & Leisure, 03440 Ibi, Spain.
Rosario VidalDepartment of Mechanical Engineering and Construction, Green Investigation and Development, Universitat Jaume I, Av. Sos Baynat s/n, 12071 Castelló, Spain.ORCID 0000-0001-7872-0620
Asunción Martínez-GarcíaAIJU Technological Institute for Children's Products & Leisure, 03440 Ibi, Spain.ORCID 0000-0001-6059-2624

Funding

Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital GVRTE/2022/31299
6 · The paper itself

Abstract

This article is focused on the development and characterization of a series of biodegradable and eco-friendly colour masterbatches (MBs), based on natural pigments and biodegradable polylactic acid (PLA) and polybutylene succinate (PBS). Four commercial natural pigments were used, spirulina, curcumin, beetroot and chlorophyllin, to develop the colour masterbatches using a twin-screw extruder. The natural pigment-based MBs were added at 2, 4 and 6 wt%, as additives to study the effect on the properties of injected biodegradable parts (PLA and PBS). The injected samples were characterized in terms of their mechanical (tensile and Charpy impact tests) and visual properties (according to CieLab). In addition, the ageing of the coloured material was followed by colorimetric analysis after its exposure under a Xenon lamp. The mechanical results showed that the addition of coloured masterbatches in different percentages (2-6 wt%) did not significantly change the properties of the materials with respect to the as-received ones. A noticeable colour difference in the injected samples was observed after the first 50 h of artificial light exposure. Regarding environmental concerns, the study showed that the carbon footprint of natural pigments and electricity consumption during extrusion and pelletizing were lower.

Indexed as

additivebeetrootbiodegradablechlorophyllincolour masterbatchcurcuminnatural pigmentspirulina

Identifiers

PMID39125143
PMCPMC11314074

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.