Evidence map›Paper›PMID 32019127›Full record

ArticlePolymers2020

Research of the Influence of the Ultrasonic Treatment on the Melts of the Polymeric Compositions for the Creation of Packaging Materials with Antimicrobial Properties and Biodegrability.

Irina Kirsh, Yuliya Frolova, Olga Bannikova, Olga Beznaeva, Isabella Tveritnikova, Dmitry Myalenko, Valentina Romanova, Daria Zagrebina

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 18 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

8 authors at 3 institutions in 1 country.

Irina KirshScientific and Educational Center Advanced Packaging Materials and Recycling Technologies, Center of the Collective Use, Moscow State University of Food Production, 125080 Moscow, Russia.
Yuliya FrolovaLaboratory of Food Biotechnology and Specialized Products, Federal Research Center of Nutrition and Biotechnology, 109240 Moscow, Russia.
Olga BannikovaScientific and Educational Center Advanced Packaging Materials and Recycling Technologies, Center of the Collective Use, Moscow State University of Food Production, 125080 Moscow, Russia.
Olga BeznaevaScientific and Educational Center Advanced Packaging Materials and Recycling Technologies, Center of the Collective Use, Moscow State University of Food Production, 125080 Moscow, Russia.
Isabella TveritnikovaScientific and Educational Center Advanced Packaging Materials and Recycling Technologies, Center of the Collective Use, Moscow State University of Food Production, 125080 Moscow, Russia.
Dmitry MyalenkoRussian Research Institute of Dairy Industry, 115093 Moscow, Russia.
Valentina RomanovaScientific and Educational Center Advanced Packaging Materials and Recycling Technologies, Center of the Collective Use, Moscow State University of Food Production, 125080 Moscow, Russia.
Daria ZagrebinaScientific and Educational Center Advanced Packaging Materials and Recycling Technologies, Center of the Collective Use, Moscow State University of Food Production, 125080 Moscow, Russia.
Moscow State University of Food Production · RUAll-Russian Scientific Research Institute of the Dairy Industry · RUFederal Research Centre of Nutrition and Biotechnology · RU

Funding

Федеральная целевая программа RFMEFI57418X0191
6 · The paper itself

Abstract

Ensuring the microbiological safety of food products is a problem of current interest. The use of antimicrobial packaging materials is a way of solving the problem. When developing packaging materials, it is advisable to use a modern approach based on the creation of biodegradable materials. The difficulty in the selection of the polymer compositions' components lies in solving the dilemma of the joint introduction and processing of antimicrobial and biodegradable agents. The studies of the ultrasound treatment on the melts of polymer mixtures showed an increase in the dispersion process of the components of the mixture. In this regard, this work aimed to study the effect of the ultrasonic treatment on the melts of polymer compositions containing thermoplastic starch and birch bark extract (BBE). In the work, the properties of PE-based packaging materials with various BBE concentrations obtained with ultrasonic treatment of melts on a laboratory extruder were studied. Biodegradable polymer compositions containing thermoplastic starch and BBE, obtained with the use of the ultrasonic treatment during extrusion, were investigated. The methods for studying rheological, physic-mechanical, antimicrobial properties and sanitary chemical indicators of materials were used in the article. It was found that ultrasonic treatment increases the melt flow and contributes to the production of materials with the uniform distribution of additives. The BBE content from 1.0% and higher in the contents of the material provides antimicrobial properties. When studying the permeability of oxygen and water vapor of the polymer compositions based on PE and BBE, it was found that the introduction of a filler increases vapor permeability by about 8-12% compared with control samples. The optimal concentration of BBE in polyethylene compositions containing thermoplastic starch was determined. The extension of the shelf life of the food product during storage in the developed material was established.

Indexed as

antimicrobial propertiesbiodegradationbirch bark extractfood packagingpolyethylenethermoplastic starchultrasound

Identifiers

PMID32019127
PMCPMC7077402
OpenAlexW3004383375

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.