Evidence map›Paper›PMID 35012203›Full record

ReviewPolymers2022

Natural Fiber-Reinforced Polycaprolactone Green and Hybrid Biocomposites for Various Advanced Applications.

R A Ilyas, M Y M Zuhri, Mohd Nor Faiz Norrrahim, Muhammad Syukri Mohamad Misenan, Mohd Azwan Jenol, Sani Amril Samsudin, N M Nurazzi, M R M Asyraf, A B M Supian, Sneh Punia Bangar and 3 more

Abstract readReview
In one paragraph

Review in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

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15 more citing papers are in PubMed but not listed here.

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

13 authors.

R A IlyasSchool of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Johor, Malaysia.ORCID 0000-0001-6622-2632
M Y M ZuhriInstitute of Tropical Forestry and Forest Products (INTROP), Universiti Putra Malaysia (UPM), Serdang 43400, Selangor Darul Ehsan, Malaysia.ORCID 0000-0002-1069-7345
Mohd Nor Faiz NorrrahimResearch Center for Chemical Defence, Universiti Pertahanan Nasional Malaysia, Kem Sungai Besi, Kuala Lumpur 57000, Malaysia.ORCID 0000-0003-2101-5642
Muhammad Syukri Mohamad MisenanDepartment of Chemistry, College of Arts and Science, Davutpasa Campus, Yildiz Technical University, Esenler, Istanbul 34220, Turkey.ORCID 0000-0002-0014-1247
Mohd Azwan JenolDepartment of Bioprocess Technology, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia.
Sani Amril SamsudinSchool of Chemical and Energy Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), Johor Bahru 81310, Johor, Malaysia.ORCID 0000-0002-1620-5663
N M NurazziCentre for Defence Foundation Studies, Universiti Pertahanan Nasional Malaysia (UPNM), Kem Perdana Sungai Besi, Kuala Lumpur 57000, Malaysia.ORCID 0000-0001-7697-0511
M R M AsyrafInstitute of Energy Infrastructure, Universiti Tenaga Nasional, Jalan IKRAM-UNITEN, Kajang 43000, Selangor, Malaysia.ORCID 0000-0001-6471-0528
A B M SupianInstitute of Tropical Forestry and Forest Products (INTROP), Universiti Putra Malaysia (UPM), Serdang 43400, Selangor Darul Ehsan, Malaysia.
Sneh Punia BangarDepartment of Food, Nutrition and Packaging Sciences, Clemson University, Clemson, SC 29631, USA.ORCID 0000-0002-8675-6399
R NadleneFakulti Kejuruteraan Mekanikal, Universiti Teknikal Malaysia Melaka, Melaka 76100, Malaysia.
Shubham SharmaDepartment of Mechanical Engineering, IK Gujral Punjab Technical University, Jalandhar 144001, India.ORCID 0000-0001-9446-8074
Abdoulhdi A Borhana OmranDepartment of Mechanical Engineering, College of Engineering, Universiti Tenaga Nasional, Jalan Ikram-Uniten, Kajang 43000, Selangor, Malaysia.ORCID 0000-0001-6689-2265

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent developments within the topic of biomaterials has taken hold of researchers due to the mounting concern of current environmental pollution as well as scarcity resources. Amongst all compatible biomaterials, polycaprolactone (PCL) is deemed to be a great potential biomaterial, especially to the tissue engineering sector, due to its advantages, including its biocompatibility and low bioactivity exhibition. The commercialization of PCL is deemed as infant technology despite of all its advantages. This contributed to the disadvantages of PCL, including expensive, toxic, and complex. Therefore, the shift towards the utilization of PCL as an alternative biomaterial in the development of biocomposites has been exponentially increased in recent years. PCL-based biocomposites are unique and versatile technology equipped with several importance features. In addition, the understanding on the properties of PCL and its blend is vital as it is influenced by the application of biocomposites. The superior characteristics of PCL-based green and hybrid biocomposites has expanded their applications, such as in the biomedical field, as well as in tissue engineering and medical implants. Thus, this review is aimed to critically discuss the characteristics of PCL-based biocomposites, which cover each mechanical and thermal properties and their importance towards several applications. The emergence of nanomaterials as reinforcement agent in PCL-based biocomposites was also a tackled issue within this review. On the whole, recent developments of PCL as a potential biomaterial in recent applications is reviewed.

Indexed as

green biocompositeshybrid biocompositesmechanical propertiespolycaprolactonethermal properties

Identifiers

PMID35012203
PMCPMC8747341

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.