Evidence map›Paper›PMID 39464469›Full record

ArticleACS omega2024

Transforming Agro-Industrial Waste into Bioplastic Coating Films.

Diana Lucinda Castillo-Patiño, Humberto Geovani Rosas-Mejía, Alonso Albalate-Ramírez, Pasiano Rivas-García, Amanda Carrillo-Castillo, José Rubén Morones-Ramírez

Abstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Diana Lucinda Castillo-PatiñoFaculty of Chemical Sciences, Autonomous University of Nuevo León (UANL), San Nicolás de los Garza 66455, Mexico.
Humberto Geovani Rosas-MejíaFaculty of Chemical Sciences, Autonomous University of Nuevo León (UANL), San Nicolás de los Garza 66455, Mexico.
Alonso Albalate-RamírezFaculty of Chemical Sciences, Autonomous University of Nuevo León (UANL), San Nicolás de los Garza 66455, Mexico.
Pasiano Rivas-GarcíaFaculty of Chemical Sciences, Autonomous University of Nuevo León (UANL), San Nicolás de los Garza 66455, Mexico.
Amanda Carrillo-CastilloAutonomous University of Ciudad Juarez, Plutarco Elias Avenue, 1210 Foviste Chamizal, Ciudad Juárez 32310, Chihuahua, Mexico.ORCID https://orcid.org/0000-0002-2787-2023
José Rubén Morones-RamírezFaculty of Chemical Sciences, Autonomous University of Nuevo León (UANL), San Nicolás de los Garza 66455, Mexico.ORCID https://orcid.org/0000-0001-7009-686X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Addressing the environmental impact of agro-industrial waste, this study explores the transformation of banana, potato, and orange peels into bioplastics suitable for thin coating films. We prepared six extracts at 100 g/L, encompassing individual (banana peel, BP; orange peel, OP; and potato peel, PP) and combined [BP/OP, BP/PP, and BP/OP/PP] formulations, with yeast mold (YM) medium serving as the control. Utilizing the spin-coating method, we applied 1 mL of each sample at 1000 rpm for 1 min to create the films. Notably, the OP extract demonstrated a twofold increase in bioplastic yield (860.33 mg/L) compared to the yields of BP (391.43 mg/L), PP (357.67 mg/L), BP/OP (469.40 mg/L), BP/PP (382.50 mg/L), BP/OP/PP (272.67 mg/L), and YM (416.33 mg/L) extracts. Atomic force microscopy analysis of the film surfaces revealed a roughness under 8 nm, with the OP extract recording the highest at 7.0275 nm, whereas the BP/OP mixture exhibited the lowest roughness at 0.2067 nm and also formed the thinnest film at 6.5 nm. With R

Identifiers

PMID39464469
PMCPMC11500142

What OpenQuestion holds

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Registered trials

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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.